S1089: Advanced Understanding and Prediction of Pollutants in Critical Landscapes in Watersheds

(Multistate Research Project)

Status: Active

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SAES-422 Reports

12/02/2021

Peer Reviewed Journal Publications:



  1. Budhathoki., S., J. Lamba, P. Srivastava, K. Malhotra, S. Katuwal, and T. R. Way. 2021. Using X-ray Computed Tomography to Quantify Variability in Soil Macropore Characteristics in Pastures. Soil and Tillage Research. Accepted.

  2. Kumar, K., P. Srivastava, B. V. Ortiz, G. Morata, B. S. Takhellambam, J. Lamba, and L. Bondesan. 2021. Field-Scale Spatial and Temporal Soil Water Variability in Irrigated Croplands. Transactions of the ASABE: 64 (4), 1277-1294. doi: 10.13031/trans.14335

  3. Bhatta, A, R. Prasad, D. Chakraborty, J.N. Shaw, J. Lamba, E. Brantley, H.A. Torbert. 2021. Mehlich 3 as a generic soil test extractant for environmental phosphorus risk assessment across Alabama soil regions. Agrosyst Geosci Environ. 2021; 4:e20187. https://doi.org/10.1002/agg2.20187

  4. Duan, Y., Kumar, S., & Kinter, J. L. (2021). Evaluation of long-term temperature trend and variability in CMIP6 multimodel ensemble. Geophysical Research Letters, 48, e2021GL093227. https://doi.org/10.1029/2021GL093227

  5. Sutton, C., Kumar, S., Lee, M.-K., Davis, E. (2021). Human imprint of water withdrawals in the wet environment: a case study of declining groundwater in Georgia, USA. Journal of Hydrology – Regional Studies. In press.

  6. Esit, M., Kumar, S., Pandey, A., Lawrence, D. M., Rangwala, I., and Yeager S.  Seasonal to multi-year soil moisture drought forecasting. npj Clim Atmos Sci 4, 16 (2021). https://doi.org/10.1038/s41612-021-00172-z

  7. Duan, Y., & Kumar, S. (2020). Predictability of Seasonal Streamflow and Soil Moisture in National Water Model and a Humid Alabama-Coosa-Tallapoosa River Basin. Journal of Hydrometeorology, DOI: 10.1175/JHM-D-19-0206.1

  8. Kumar, S., Newman, M., Lawrence, D. M., Lo, M. H., Akula, S., Lan, C. W., ... & Lombardozzi, D. (2020). The GLACE-Hydrology Experiment: Effects of Land-Atmosphere Coupling on Soil Moisture Variability and Predictability. Journal of Climate, (2020). DOI: 10.1175/JCLI-D-19-0598.1 

  9. Bhandari, R., Kalra, A., & Kumar, S. (2020). Analyzing the effect of CMIP5 climate projections on streamflow within the Pajaro River Basin. Open Water Journal, 6(1), 5.

  10. Singh, A., Kumar, S., Akula, S., Lawrence, D. M., & Lombardozzi, D. L. (2020). Plant Growth Nullifies the Effect of Increased Water Use Efficiency on Streamflow Under Elevated CO2 in the Southeastern United States. Geophysical Research Letters, e2019GL086940.

  11. He*, J., M. Hantush, L. Kalin, M. Rezaeianzadeh*, S. Isik*, "Two-Layer Vertically-Averaged Soil Moisture Dynamics: Numerical Model", Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2021.126797.

  12. Yao, Y., H. Tian, L. Kalin, S. Pan, M. Friedrichs, J. Wang, Y. Li (2021), "Contrasting stream water temperature responses to global change in the Mid-Atlantic Region of the United States: A process-based modeling study", Journal of Hydrology, Vol 601, https://doi.org/10.1016/j.jhydrol.2021.126633.

  13. Tian, D., X. He, P. Srivastava, L. Kalin (2021), "A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information", Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-021-02023-y.

  14. Wang, F., D. Tian, L. Lowe, L. Kalin, J. Lehrter (2021), “Deep Learning for Daily Precipitation and Temperature Downscaling”, Water Resources Research.  doi: 10.1029/2020WR029308.

  15. Karki*, R., P. Srivastava, L. Kalin, S. Mitra, S. Singh (2021), “Assessment of impact in groundwater levels and stream-aquifer interaction due to increased groundwater withdrawal in the lower Apalachicola-Chattahoochee-Flint (ACF) River Basin using MODFLOW”, Journal of Hydrology: Regional Studies. Vol 34. https://doi.org/10.1016/j.ejrh.2021.100802.

  16. Celik*, S., C. Anderson, L. Kalin, M. Rezaeianzadeh* (2021), “Long-term salinity, hydrology, and forested wetlands along a tidal freshwater gradient”, Estuaries and Coast. https://doi.org/10.1007/s12237-021-00911-8.

  17. Ramesh*, R. L. Kalin, M. Hantush, A. Chaudhary (2021), “A Secondary Assessment of Sediment Trapping Effectiveness by Vegetated Buffers”, Ecological Engineering. https://doi.org/10.1016/j.ecoleng.2020.106094.

  18. Noori*, N., L. Kalin, S. Isik* (2020), “Water Quality Prediction Using SWAT-ANN Coupled Approach”, Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2020.125220.

  19. Ramesh*, R., C. Anderson, L. Kalin (2020), “Characterizing Nitrogen Attenuation by Headwater Slope Wetlands across Different Land Uses”, Ecological Engineering. Vol 149. https://doi.org/10.1016/j.ecoleng.2020.105833.

  20. Dosdogru*, F., L. Kalin, R. Wang*, H. Yen (2020), "Potential Impacts of Land Use/Cover and Climate Changes on Ecologically Relevant Flows", Journal of Hydrology, Vol 584, https://doi.org/10.1016/j.jhydrol.2020.124654​.

  21. Karki*, R., P. Srivastava, D. Bosch, L. Kalin, J. Lamba, T. Strickland (2020), “Multi-variable sensitivity analysis, calibration, and validation of a field-scale SWAT model: Building Stakeholder Trust in Hydrologic/Water Quality Modeling”, Transactions of the ASABE. 63(2): 523-539. DOI: 10.13031/trans.13576.

  22. Ramesh*, R. L. Kalin, M. Hantush, M. Rezaeinzadeh*, C. Anderson (2020), “Challenges in Calibrating Hydrology for Groundwater-Fed Wetlands: A Headwater Wetland Case Study”, Environmental Modeling & Assessment. DOI: 10.1007/s10666-019-09684-8.

  23. Pickering, C., Ford, W.I. In Press. Effect of watershed disturbance and river-tributary confluences on watershed sedimentation in the Western Allegheny Plateau. Journal of Hydrology. 

  24. Nazari, S., Ford, W.I., King, K. In Press.  Quantifying Field-scale Hydrologic Pathway and Connectivity Dynamics in Tile-Drainage: Implications for P concentrations. Vadose Zone Journal

  25. Hood, R., G. Shenk, R. Dixon, W. Ball, J. Bash, P. Claggett, Z.M. Easton, M. Friedrichs, T. Ihde, L. Linker, A. Miller, G. Noe, K. Rose, J. Testa, R. Tian, T. Veith, L. Wainger, D. Weller, J. Zhang. 2021. The Chesapeake Bay Program management modeling system: progress, challenges, and prospects. Ecological Modeling. https://doi.org/10.1016/j.ecolmodel.2021.109635

  26. Nayeb Yazdi, M., Scott, D., Sample, D. J., and Wang, X., 2021. Efficacy of a retention pond in treating stormwater nutrients and sediment. Journal of Cleaner Production, 290, 125787. https://doi.org/10.1016/j.jclepro.2021.125787

  27. Nayeb Yazdi, M., Sample, D., Scott, D., Wang, X., and Ketabchy, M., 2021. The effects of land use characteristics on urban stormwater quality and watershed pollutant loads. Science of the Total Environment, https://doi.org/10.1016/j.scitotenv.2021.145358

  28. Twombly, C., J. Faulkner, A. Collick, Z.M. Easton. 2021. Identification of P Index improvements through model comparisons across topographic regions in a small agricultural watershed in Vermont, USA. Soil Science Society of America Journal.  http://doi.org/10.1002/saj2.20254

  29.  Xu, Y., D. Bosch, M. Wagena, A. Collick, and Z.M. Easton. 2020. Reducing costs of mitigating nitrogen loadings by within- and cross-county targeting. J. Environ. Manag.   https://doi.org/10.1016/j.jenvman.2020.110333

  30. Modi, P., D.R. Fuka, and Z.M. Easton. 2021. Impacts of climate change on terrestrial hydrological components and crop water use in the Chesapeake Bay watershed. J. Hydrol. Regional Studies.  https://doi.org/10.1016/j.ejrh.2021.100830

  31. Li, W., Cheng, X., Zheng, Y., Lai, C., Sample, D. J., Zhu, D., and Wang, Z., 2021. Response of non-point source pollution to landscape pattern: case study in mountain-rural region, China. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-020-12196-8

  32. Ahmadisharaf, E., & Benham, B. L. 2020. Risk-based decision making to evaluate pollutant reduction scenarios. SCIENCE OF THE TOTAL ENVIRONMENT, 702, 10 pages. doi:10.1016/j.scitotenv.2019.135022

  33. Ahmadisharaf, E., Lacher, I. L., Fergus, C., Benham, B. L., Akre, T., & Kline, K. S. 2020. Projecting land use change impacts on nutrients, sediment and runoff in multiple spatial scales: Business-as-usual vs. stakeholder-informed scenarios. JOURNAL OF CLEANER PRODUCTION, 257, 14 pages. doi:10.1016/j.jclepro.2020.120466

  34. Bock, E., and Z.M. Easton. 2020. Export of nitrogen and phosphorus from golf courses in the Mid Atlantic, are current export rates accurate? J. Environ. Manag. https://doi.org/10.1016/j.jenvman.2019.109817

  35. Coffey, R., Butcher, J., Benham, B., & Johnson, T. 2020. Modeling the effects of future hydroclimatic conditions on microbial water quality and management practices in two agricultural watersheds. TRANSACTIONS OF THE ASABE, 63(3), 753-770. doi:10.13031/trans.13630

  36. Dos Reis B., Z.M. Easton, R.R. White and D.R. Fuka. 2021. A LoRa sensor network for monitoring pastured livestock location and activity. Translational Animal Science. https://doi.org/10.1093/tas/txab010

  37. Dos Reis B., D.R. Fuka, Z.M. Easton, and R.R. White. 2021. An open-source research tool to study triaxial inertial sensors for monitoring selected behaviors in sheep. Translational Animal Science 4(4):01 Oct 2020. doi.org/10.1093/tas/txaa188

  38. Dos Reis B., D.R. Fuka, Z.M. Easton, and R.R. White. 2020. An open-source microprocessor-based sensor for monitoring grazing animal behaviors. Journal of Dairy Science 103:9, 0022-0302

  39. Easton, Z.M., E.M. Bock, and K. Stephenson. 2020. Feasibility of employing bioreactors to treat legacy nutrients in emergent groundwater. Environ. Sci and Technology. http://dx.doi.org/10.1021/acs.est.9b04919

  40. Wagena, M.B., D.G. Goering, A.S. Collick, E.M. Bock, A.R. Buda, D.R. Fuka, and Z.M. Easton. 2020. A comparison of short-term streamflow forecasting using stochastic time series, neural networks, process-based, and Bayesian models. Environ. Model & Software. https://10.1016/j.envsoft.2020.104669.

  41.  Almadari, N., D. Sample, A. Ross, and Z.M. Easton. 2020. Evaluating the impact of climate change on water quality and quantity in an urban watershed using an ensemble approach. Estuaries and Coasts. 1-17. 10.1007/s12237-019-00649-4.

  42. Wagena, M.B., G. Bhatt, A.R. Sommerlot, E. Buell, D.R. Fuka, and Z.M. Easton. 2020. Quantifying structural model uncertainty using a Bayesian multi model ensemble. Env. Model Software. https://doi.org/10.1016/j.envsoft.2019.03.013

  43. Schmadel N, J Harvey, R Alexander, E Boyer, G Schwarz, J Gomez-Velez, D Scott, and C Konrad (2020).  Low threshold for nitrogen concentration saturation in headwaters increases regional and coastal delivery.  Environmental Research Letters, DOI: 10.1088/1748-9326/ab751b 

  44. Redder BW, CD Kennedy, AR Buda, G Folmar, and EW Boyer (2021).  Groundwater contributions of flow and nitrogen in a headwater agricultural watershed. Hydrological Processes, DOI: 10.1002/hyp.14179

  45. Lewis, E., S.M. Inamdar, A.J. Gold, K. Addy, T. Trammell, D. Merritts, S., M. Peipoch, P.M. Groffman, J. Hripto, M. Sherman, J. Kan, R. Walter and E.P. Lewis. 2021. Draining the landscape: How do nitrogen concentrations in riparian groundwater and stream water change following milldam removal? Journal of Geophysical Research – Biogeosciences. https://doi.org/10.1029/2021JG006444

  46. Suriano, Z. J., C. M. Siegert, D. J. Leathers, A. J. Gold, K. Addy, A. W. Schroth, E. Seybold, S. Inamdar, and D. F. Levia. 2021. Effects of atmospheric circulation on stream chemistry in forested watersheds across the northeastern United States: Part 2. Interannual weather type variability. Journal of Geophysical Research: Atmospheres.  e2021JD034546.

  47. Hollister. J. W., Kellogg, D. Q., Kreakie, B. J., Shivers, S., Milstead, W. B., Herron, E., Green, L., Gold, A. 2021. Increasing Chlorophyll, a Amid Stable Nutrient Concentrations in Rhode Island Lakes and Reservoirs. Ecosphere 12, no. 6 (2021): e03555.

  48. Suchy, A., P. Groffman, L. Band, J. Duncan, A.J. Gold, J. M. Grove, D. Locke, L.A.  Templeton, Laura A. 2021.  Landscape approach to nitrogen cycling in urban lawns reveals the interaction between topography and human behaviors. Biogeochemistry.  152:73–92

  49.  Siegert, CM, ZJ Suriano, DJ Leathers, AJ Gold, K Addy, AW Schroth, E Seybold, S Inamdar, DF Levia. 2021. Effects of Atmospheric Circulation on Stream Chemistry in Forested Watersheds across the Northeastern United States: Part 1. Synoptic-scale Forcing. Journal of Geophysical Research – Atmospheres.

  50.  Inamdar, S., M. Peipoch, A.J. Gold, E. Lewis, J. Hripto, K. Addy, D. Merritts, J. Kan, P. M. Groffman, R. Walter, and T. Trammell. 2021. Ghosts of landuse past: Legacy effects of milldams for riparian water quality and ecosystem function. Environ. Research Letters. 16: 035016

  51.   Moatar, F., M. Floury, A.J. Gold, M. Meybeck, B. Renard, A. Chandesris, C. Minaudo, K. Addy, J. Piffady and G. Pinay. 2020. Stream solutes and particulates export regimes: A new framework to optimize their monitoring. Frontiers in Ecology and Evolution. 7:516.

  52. Panthi, J., Talchabhadel, R., Ghimire, G.R., Sharma, S., Dahal, P., Baniya, R., Boving, T., Pradhanang, S.M. and Parajuli, B., 2021. Hydrologic Regionalization under Data Scarcity: Implications for Streamflow Prediction. Journal of Hydrologic Engineering, 26(9), p.05021022.

  53. Tamanna, M., Pradhanang, S.M., Gold, A.J., Addy, K. and Vidon, P.G., 2021. Riparian Zone Nitrogen Management through the Development of the Riparian Ecosystem Management Model (REMM) in a Formerly Glaciated Watershed of the US Northeast. Agriculture, 11(8), p.743.

  54. Jahan, K., Pradhanang, S.M. and Bhuiyan, M.A.E., 2021. Surface Runoff Responses to Suburban Growth: An Integration of Remote Sensing, GIS, and Curve Number. Land, 10(5), p.452.

  55. Young, K.S. and Pradhanang, S.M., 2021. Small Unmanned Aircraft (sUAS)-Deployed Thermal Infrared (TIR) Imaging for Environmental Surveys with Implications in Submarine Groundwater Discharge (SGD): Methods, Challenges, and Novel Opportunities. Remote Sensing, 13(7), p.1331.

  56. Jahan, K. and Pradhanang, S.M., 2020. Predicting Runoff Chloride Concentrations in Suburban Watersheds Using an Artificial Neural Network (ANN). Hydrology, 7(4), p.80.

  57. Tamanna, M., Pradhanang, S.M., Gold, A.J., Addy, K., Vidon, P.G. and Bingner, R.L., 2020. Evaluation of AnnAGNPS Model for Runoff Simulation on Watersheds from Glaciated Landscape of USA Midwest and Northeast. Water, 12(12), p.3525.

  58. Clearing up cloudy waters: a review of sediment impacts to unionid freshwater mussels https://doi.org/10.1139/er-2020-0080 (Jaber)

  59. How does increasing impervious surfaces affect urban flooding in response to climate variability? https://doi.org/10.1016/j.ecolind.2020.106774 (Jaber)

  60. Advanced filtration in greywater treatment: a modelling approach with water reuse perspectives https://doi.org/10.1080/1573062X.2020.1828498 (Jaber)

  61. Selecting Reliable Models for TMDL https://doi.org/10.1061/(ASCE)HE.1943-5584.0002102 (Kumar)

  62. Margin of Safety in TMDLs: Natural Language Processing-Aided Review https://doi.org/10.1061/(ASCE)HE.1943-5584.0001889 (Kumar)

  63. ASCE-EWRI Manual of Practice for TMDL development (in press) (Kumar)

  64. Koudahe, K., Sheshukov, A.Y., Aguilar, J., Djaman, K. (2021) Irrigation-Water Management and Productivity of Cotton: A Review. Sustainability. 131: 70. https://doi.org/10.3390/su131810070

  65. Oker, T.E., A.Y. Sheshukov, J. Aguilar, D.H. Rogers, I. Kisekka. (2021) Evaluating Soil Water Redistribution under Mobile Drip Irrigation, Low-Elevation-Spray-Application, and Low-Energy-Precision-Application using HYDRUS. Irrigation and Drainage Science Engineering. 147 (6), 04021016. https://doi.org/10.1061/(ASCE)IR.1943-4774.0001553 

  66. A.Y. Sheshukov, Gao, J., K.R. Douglas-Mankin, H. Yen. (2021) Observed Data Source used for Bias Correction Introduces Variability and Uncertainty to Downscaled Climate Projections for Hydrologic Modeling. Transactions of the ASABE. 64(2): 203-220. https://doi.org/10.13031/trans.14061. 

  67. Orozco-Lopez*, E. and R. Muñoz-Carpena, R. 2021. Comparative non-Darcian modelling of subsurface preferential flow experimental observations in a riparian buffer. Trans. ASABE 64(5). doi:10.13031/trans.14559.

  68. Vazquez*, K.M, R. Muñoz-Carpena, M.D. Danyluk, A.H. Havelaar. 2021. Parsimonious mechanistic modeling of bacterial runoff to inform food safety management of agricultural water quality. Appl. Environ. Microbiol. 87(15): e00596-21. doi:10.1128/AEM.00596-21.

  69. Luquin*, E., M.A. Campo-Bescós, R. Muñoz-Carpena, R.L. Bingner, R.M. Cruse, H.G. Momm, R.R. Wells, J.Casalí. 2021. Evaluation of model prediction capacity of ephemeral gully temporal evolution in conservation tillage systems. Earth Surf. Process. Landf. 46(10):1909-1925. doi:10.1002/esp.5134

  70. Guertault, L. G.A.Fox, D. Heeren, T. Hallihan and R Muñoz-Carpena. 2021. Quantifying the importance of preferential flow in a riparian buffer. Trans. ASABE 64(3):937-947. doi:10.13031/trans.14286.

  71. Orozco-López*, R. Muñoz-Carpena, B. Gao and G.A. Fox. 2021. High resolution pore-scale water content measurement in a translucent soil profile from light transmission. Trans. ASABE64(3):949-962.doi:10.13031/trans.14292.

  72. Medina M.*, R. Huffaker, R. Muñoz-Carpena and G. Kiker. 2021. An empirical nonlinear dynamics approach to analyzing emergent behavior of agent-based models. AIP Advances11:035133. doi:10.1063/5.0023116

  73. Medina*, M., R. Huffaker, J.W. Jawitz, and R. Muñoz-Carpena. 2020. Seasonal dynamics of terrestrially sourced nitrogen influenced Karenia brevis blooms off Florida's southern Gulf Coast. Harmful Algae 98:101900. doi:10.1016/j.hal.2020.101900

  74. Mompremier, R.*, Y. Her, G. Hoogenboom, K. Migliaccio, R. Muñoz-Carpena, Z. Brym, R. W. Colbert, and W. Jeune. 2020. Modeling the response of dry bean yield to irrigation water availability controlled by watershed hydrology. Agric. Water Manage. 243:106429. doi:10.1016/j.agwat.2020.106429

  75. Nelson, N.G.*, R. Muñoz-Carpena, and E. Phlips. 2020. Parameter uncertainty drives important incongruities between simulated chlorophyll-a and phytoplankton functional group dynamics in a mechanistic management model.  Env. Modeling & Soft. 129:104708. doi:10.1016/j.envsoft.2020.104708.

  76. Alonso, A.*, R. Muñoz-Carpena, and D. Kaplan. 2020. Coupling high-resolution water level sensors and MODIS for mapping wetland historical hydroperiod at high temporal frequency. Remote Sensing of Environment 247:111807. doi:10.1016/j.rse.2020.111807.

  77. Moreno-Cadena, L.P.*, G. Hoogenboom, M.J. Fisher, J. Ramirez-Villegas, S.D. Prager, L.A. Becerra Lopez-Lavalle, P. Pypers, M.S. Mejia de Tafur, D. Wallach, R. Muñoz-Carpena, S. Asseng. 2020. Importance of genetic parameters and uncertainty of MANIHOT, a new mechanistic model of cassava. Europ. J. Agronomy 115:126031. doi:10.1016/j.eja.2020.126031

  78. Delforge, D.*, R. Muñoz-Carpena, M. Van Camp, M. Vanclooster. 2020. A parsimonious empirical approach to streamflow recession analysis and forecast. Wat. Resour. Res.56(2): e2019WR025771. doi: 10.1029/2019WR025771


 


Thesis/Dissertation:



  1. Radcliff, Cory, "Quantifying the source and pathway of dissolved reactive phosphate in karst drainage of the Inner-Bluegrass" (2021). Theses and Dissertations--Biosystems and Agricultural Engineering. 81.

  2. Nazari, Saeid, "Impact of preferential flow, source water connectivity, and agricultural management practices on sediment and particulate phosphorus dynamics in midwestern tile-drained landscapes" (2021). Theses and Dissertations--Biosystems and Agricultural Engineering. 82.

  3. Nayeb Yazdi, M., 2020. Understanding the role of scale in assessing sediment and nutrient loads from Coastal Plain watersheds delivered to the Chesapeake Bay, Ph.D. Dissertation, Virginia Tech, p. 181, Advisor: D. Sample.

  4. Jahan, K. J., 2021. Effectiveness of Roadside Best Management Practices (BMPs) on Maintaining Stormwater Quality Through Monitoring and Modeling. Doctoral Dissertation submitted to University of Rhode Island (Advisor: S. M. Pradhanang)

  5. Tamanna, M, 2021 Optimization of Riparian Zone Nitrogen and Phosphorus Management through the Development of Riparian Model Doctoral. Dissertation submitted to University of Rhode Island (Advisor: S. M. Pradhanang)


 


Proposals:



  1. Impact of Broiler Litter Application Method on Phosphorus Loss in Leachate. AAES Agriculture Research Enhancement and Seed (ARES) funding program. Grant amount $50,000 (PI: Jasmeet Lamba)

  2. Understanding Preferential Flow Patterns in No-Till Manured Pastures Using Dye Tracer and X-Ray CT Image Analysis. USGS-AWRRI. Grant amount $5,000 (Co-PI Lamba)

  3. Leveraging Machine Learning for Sustainable Water and Nutrient Management Across Agro Climatic Zones. USDA-NIFA. Grant amount $650,000 (Co-PI Lamba)

  4. A Transdisciplinary Approach to Secure the Safety of the Food Supply System While Protecting the Environment. USDA-NIFA. Grant amount $10 million. (Co-PI Lamba)

  5.  “A coupled natural-human framework for risk assessment of coastal communities from land-use and climate change”, National Academy of Science – Restore, 2020-2023, $1,110,000, (Co-PI Kalin and Kumar).

  6.  “Coupling SWAT and WetQual for Improved N, P, and C Processing in Wetland Dominated Agricultural Watersheds”, USDA-NIFA, 2020-2024, $499,932 (PI Kalin).

  7.  “Ecohydrology and Watershed Modeling”, US-EPA, 2020-2021, $25,000 (PI Kalin).

  8. FACT: Interactive Deep Learning Platform and Multi-source Data Integration for Improved Soil Moisture Forecasting (PI Kumar, Co-PIs: W. Lee, and I. Rangwala). Funded by USDA-NIFA. Total support: $500K, Project period: Sept. 2020 to Aug. 2023.

  9. Investigation of soil moisture predictability on sub-seasonal to inter-annual time scales (PI Kumar). Funded by AAES AgrSEED program, Total support $50K; Project period: Oct. 2019 to Sept. 2021.

  10. Fox, J., Ford, W., Malzone, J., Armstead, M. GP-GO: The Appalachian SUCCESS Program: Strengthening students classified as Underrepresented in STEM by inspiring Confidence, Curriculum and Enriching Sensing Skillsets.  NSF GP-GO. $314,807.  Role: Co-Investigator. September 2021-August 2024.

  11. Ford, W.I.  RII Track-4: Elucidating controls of sediment phosphorus delivery to tile-drains.  NSF-EPSCoR, RII-4, $226,757.  Role: Principal Investigator. January 2021 to December 2022.  

  12. Ford, W.I., Fox, J., Sama. M. Impact of regenerative stream design on water and nitrogen budgets at reach to watershed scales. USDA-AFRI, $750,000.  Role: PD. Submitted

  13. Messer, T., Ford, W., Bartlet-Hunt Shannon. Implications of Microplastic Contributions from Biosolid Applications to the Nitrogen Cycle in Agroecosystems.  USDA-AFRI, $750,000. Role: Co-PD, Submitted.

  14. Easton, Z.M., D.R. Fuka, and R.R. White. Developing and evaluating rapidly deployable inexpensive weather, soil moisture, shock, and streamflow sensors to aid the monitoring, inspection, and rehabilitation of aging dams. USDA-Cooperative Agreement.  $75,000. June 2021-Nov 2021.

  15. Easton, Z.M. and D.R. Fuka.  Integrating the SWAT Model into the MINT Framework. DARPA-USC $64,000. June 2021-Nov 2021

  16. Collick, A.S., Z.M. Easton, and R. Bryant. UMES Stormwater Management Research Facility: Investigating nutrient and sediment reduction from poultry house stormwater drainage systems. USDA NIFA $399,000. Sept 2020-Aug 2022.

  17. Easton, Z.M. A Systematic Review of Chesapeake Bay Climate Change Impacts on Tidal and Near Tidal BMPs. NOAA-CBP $73,400. Dec 2020-Sept 2021.

  18. Easton, Z.M. A Conservation Effects Assessment Project (CEAP) Watershed Assessment Study: A collaboration between the University of Vermont, Virginia Tech, the Natural Resources Conservation Service, and the Agricultural Research Service. USDA CEAP $123,000. Oct 2020-Sept 2022.

  19. Flood Reduction Potential of Urban Forests in Virginia Beach: Development of urban watershed models that improve calculation of evapotranspiration and soil moisture to assess the flood reduction benefits of urban forests in coastal Virginia. Amount: $92,276. PIs: D. Sample, D. McGlauglin, Y. Shao, 1/1/2020-10/31/2022. Sponsor: City of Virginia Beach, The Nature Conservancy.

  20. Bluestone River, Mountain Run, and Lewis Creek PCB TMDLs: Data Analysis and Modeling, and TMDL Development Statement of Work, VA Department of Environmental Quality, $649,950, 06/01/2019 - 01/31/2022, PI: B. Benham.

  21. TMDL Implementation Plan Development for Buffalo River (Amherst and Nelson Counties) Statement of Work, VA Department of Environmental Quality, $27,155, 07/01/2019 - 10/30/2020, PI: B. Benham.

  22. TMDL Implementation Plan Development for McClure River (Dickenson County), VA Department of Environmental Quality, $21,660, 06/01/2019 - 05/31/2020, PI: B. Benham.

  23. White, R., D.R. Fuka, E. Feuerbacher, Z.M. Easton. Collaborative Research: CPS: Medium: Greener Pastures: A pasture sanitation cyber physical system for environmental enhancement and animal monitoring. NSF CPS (Cyber-Physical Systems). $998,232. June 2021-May 2024.

  24. Designing ESD for Climate Change for Increased Resiliency: Assessing the impact of climate change on hydrology, upland environmental site design (ESD) practices and downstream channel stability. Amount: $107,250. PIs: D. Sample, T.W, Thompson, 7/1/2021-12/31/2022. Sponsor: Chesapeake Bay Trust (thru Tetratech, Inc.)

  25. Savage, B., Pradhanang, S. M., Boving, T. Mapping Bedrock and Saltwater Intrusion in Rhode Island, USGS $90,000 (09/2021-08/2022)

  26. Kayastha-Pradhanang, S, Kumar, R, and Rashid T, Floating Treatment Wetland System (FTWS) - Sustainable green technology to remediate polluted surface water bodies in the COVID 19-era, Asia-Pacific Network $78,000 (09/2021-08/2023)

  27. Pradhanang, S. M., Boving, T., and Savage, B. The Rhode Island Water Resources Board (RIWRB) and University of Rhode Island (URI) Statewide Water Withdrawal Data Enhancement and Database Development Project. RIWRB-USGS 197,488 (10/20-09/22)

  28. Pradhanang, S. M., and Boving T., Harmful Algal Blooms (HABs): Treatment Optimization Protocol (TOP) Development, RI Department of Health $34,980 (05/20-08/20)

  29.  J. Aguilar, A. Sheshukov, B. Golden, L. Haag, D. Devlin. Collaborative Research on Cotton Production in Thermo-limited Regions of the High Plains. Ogallala Aquifer program, USDA-ARS. $300,000.  (09/2020 - 08/2025)

  30. T. Moore, A. Sheshukov, L. Shamir, D. Flippo. Integrated data science - mechanistic modeling framework to predict cyanoHABS in contrasting freshwater systems. USGS $249,776 (10/2020-09/2023)

  31. T. Franti, A. Sheshukov, T. Cruse, B. Gelder, J. Lory. NRCS Ephemeral Gully Erosion Planning Grant PHASE 2: A Regional Assessment of High-Risk Areas for Ephemeral Gully Formation. USDA-NRCS $344,538 (09/2021-12/2023)


 


Reports:



  1. National Academies of Sciences, Engineering, and Medicine. 2020. Review of the New York City Watershed Protection Program. Washington, DC: The National Academies Press. doi: https://doi.org/10.17226/25851 (Boyer, Easton, Pradhanang)

  2. Easton, Z.M., K., Stephenson, A. Collick, P.M. Fleming, E. Kellner, J. Martin, M. Ribaudo, and G. Shenk. 2020. Increasing Effectiveness and Reducing the Cost of Non-Point Source Best Management Practice Implementation: Is Targeting the Answer? STAC Publication Number 20-002.

  3. Sample, D.J., Nayeb Yazdi, M., Wang, X., and Shahed Behrouz, M., 2021. Characterization of Runoff Water Quality, Treatment in Noncomforming Ponds, and Modeling Implications for the City of Virginia Beach, Virginia, Final Report, p. 170.

  4. Kline, K., Moneymaker, J., & Benham, B. 2020. A Water Quality Improvement Plan to Reduce Bacterial Contamination and Sediment Loads in Buffalo River located in Amherst County, Virginia.: A Water Quality Improvement Plan to Reduce Bacterial Contamination and Sediment Loads in Buffalo River located in Amherst County, Virginia. Virginia Department of Environmental Quality.

  5. Pradhanang, S. M., Boving, T.B, Brown, R and Jahan, K., 2021. Effectiveness of roadside best management practices in managing water quality (submitted to the Rhode Island Department of Transportation).

  6. Pradhanang, S. M., Boving, T.B and Panthi, J., Ismail, M., and Shrestha, S., 2020. Assessing Saltwater Intrusion under Extreme Storm Conditions for Coastal Aquifers (submitted to the Rhode Island Housing and Urban Development).


 


Book Chapters:



  1. Pradhanang, S. M. and Jahan*, K., 2021 Urban Water Security for Sustainable Cities in the Context of Climate Change. In Pandey et al. eds Water, Climate Change, and Sustainability, Wiley Publications.

  2. Pradhanang, S.M., and Jahan*, K., 2021 Structural Best Management Practices and Watershed Management. In Encyclopedia of the UN Sustainable Development: Clean Water and Sanitation.  Springer Publications

  3. Pradhanang, S. M., and Tamanna*, M. 2020 Water Management: South Asia. In Wang, Y. ed., 2020. Fresh Water and Watersheds. CRC Press


 


Conference presentations:



  1. Workshop for the Association of Clean Water Administrators on Natural Language Processing for TMDL review (Texas A&M- Kumar)

  2. 3-introductory and advanced workshops on watershed/water quality modeling (Texas A&M- Srini

  3. 25 Stream restoration and green stormwater infrastructure workshops (Texas A&M- Jaber)

  4. Kmetz, J., Aiken, R., Young, K., Pradhanang, S.M.  Allen, L.,2021. Submarine Groundwater Discharge (SGD) resolved at high resolutions in Rhode Island Coastal Estuaries, Ninigret and Green Hill Ponds, using small Unmanned Aircraft System (sUAS) deployed Thermal Infrared (TIR) imaging, UCOWR, NWRI June 10, 2021 

  5. Young, K., Pradhanang, S.M.,  Kmetz, J.,  Aiken,R.,  Allen, L., 2021, Analysis of Submarine Groundwater Discharge (SGD) temporal dynamics in Northern Ninigret Pond, Coastal Rhode Island using Radon-222 and small Unmanned Aircraft Systems (sUAS) deployed Thermal Infrared (TIR) imaging, UCOWR, NWRI June 10, 2021 

  6. Young, K., Pradhanang, S.M., 2021.Small Unmanned Aircraft (sUAS) deployed thermal infrared (TIR) imaging for environmental surveys with implications in submarine groundwater discharge (SGD): methods, challenges, and novel opportunities. UCOWR, NWRI June 10, 2021

  7. Pradhanang, S.M., Campbell, A. and Kouhi, S., 2020, December. Streamflow High Spells Analysis to Evaluate Flood Risks and Severity. In AGU Fall Meeting Abstracts (Vol. 2020, pp. GC084-0005).

  8. Pradhanang, S. M., Meisinger, E., Kirby, K., and Kmetz, J., 2020. Water Treatment Innovation Using Floating Wetland Islands, North American Lake Management Society, November 18, 2020.

11/09/2022

 



  1. Nazari, S., Ford, W.I., King, K. 2022.  Impact of flow pathway and source water connectivity on subsurface sediment and particulate phosphorus dynamics in tile-drained agroecosystems. Agricultural Water Management. 269: 107641. https://doi.org/10.1016/j.agwat.2022.107641. 

  2. Riddle, B., Fox, J., Mahoney, D. T., Ford, W., Wang, Y., Pollock, E., Backus, J. 2022. Investigation of carbon and nitrogen stable isotope tracers (non)conservativeness for sediment fingerprinting. Science of the Total Environment. 817: 152640. https://doi.org/10.1016/j.scitotenv.2021.152640. 

  3. Radcliff, C., Ford, W.I., Nazari, S. Sheppard, C.  2021. Impact of water source dynamics on dissolved reactive phosphorus loadings in heterogeneous karst agroecosystems with phosphatic limestones. Hydrological Processes. 35(11): e14422. 36Thttps://doi.org/10.1002/hyp.1442236T. 

  4. Husic, A., Fox, J., Al Aamery, N., Ford, W., Pollock, E., Backus, J. 2021. Seasonality of recharge drives spatial and temporal nitrate removal in a karst conduit as evidenced by nitrogen isotope modeling. JGR Biogeosciences. e2021JG006454. https://doi.org/10.1029/2021JG006454. 

  5. Shahed Behrouz, M.S., Yazdi, M.N., Sample, D.J., 2022. Using Random Forest, a machine learning approach to predict nitrogen, phosphorus, and sediment event mean concentrations in urban runoff. J. Environ. Manage. 317, 115412. https://doi.org/10.1016/j.jenvman.2022.115412

  6. Shahed Behrouz, M. S., Yazdi, M. N., Sample, D. J., Scott, D., and Owen, J. S., 2022. What are the relevant sources and factors affecting event mean concentrations (EMCs) of nutrients and sediment in stormwater? Science of the Total Environment, 828, 154368. https://doi.org/10.1016/j.scitotenv.2022.154368

  7. Alamdari, N., Claggett, P., Sample, D., Easton, Z., and Nayeb Yazdi, M., 2022. Evaluating the joint effects of climate and land use change on runoff and pollutant loading. Journal of Cleaner Production, 330, 129953, doi:10.1016/j.jclepro.2021.129953 

  8. Sangster, S., Gruver, M., Lacerda, L., Perry, C., Washington, B., Vellidis, G. 2021. Evaluation of irrigation and fertilization strategies to improve irrigation and nitrogen water use efficiencies in cotton. 2021 ASA, CSSA, SSSA International Annual Meeting, 08 November 2021, Salt Lake City, UT, USA, https://scisoc.confex.com/scisoc/2021am/prelim.cgi/Paper/136430 

  9. Vellidis, G., Butts, C., Gallios, I., Ortiz, B. 2021. CropFIT - an integrated SmartIrrigation mobile app for corn, cotton, peanut, and soybean. 2021 ASA, CSSA, SSSA International Annual Meeting, 08 November 2021, Salt Lake City, UT, USA, https://scisoc.confex.com/scisoc/2021am/prelim.cgi/Paper/135167

  10. Gallios, I., Butts, C., Perry, C., Vellidis, G. 2021. Making Irrigator Pro and easier to use irrigation scheduling tool. 2021 ASA, CSSA, SSSA International Annual Meeting, 08 November 2021, Salt Lake City, UT, USA, https://scisoc.confex.com/scisoc/2021am/prelim.cgi/Paper/135255 

  11. Shrestha, S.G. and Pradhanang, S.M., 2022. Optimal selection of representative climate models and statistical downscaling for climate change impact studies: a case study of Rhode Island, USA. Theoretical and Applied Climatology.

  12. Sharma, S., Talchabhadel, R., Nepal, S., Ghimire, G., Rakhal, B., Panthi, J., Adhikari, B., Pradhanang, S. M., Maskey, S., and Kumar, S., 2022. Increasing risk of cascading hazards in the central Himalayas. Nat Hazards. https://doi.org/10.1007/s11069-022-05462-0

  13. Panthi, J., Pradhanang, S.M., Nolte, A. and Boving, T.B., 2022. Saltwater intrusion into coastal aquifers in the contiguous United States—A systematic review of investigation approaches and monitoring networks. Science of The Total Environment, p.155641.

  14. Pengfei Liu, Yu Wang, Wei Zhang, "The Influence of the Environmental Quality Incentives Program on Local Water Quality", American Journal of Agricultural Economics. 2022. https://doi.org/10.1111/ajae.12316

  15. Odeh, T., Mohammad, A.H., Pradhanang, S.M., Ismail, M. and Rödiger, T., 2021. GIS-based Analytical Modeling on Evaluating Impacts of Urbanization in Amman Water Resources, Jordan.

  16. Panthi, J., Talchabhadel, R., Ghimire, G.R., Sharma, S., Dahal, P., Baniya, R., Boving,  T., Pradhanang, S.M. and Parajuli, B., 2021. Hydrologic  Regionalization under Data Scarcity: Implications for Streamflow Prediction. Journal of Hydrologic Engineering, 26(9), p.05021022.

  17. Inamdar, S., Peipoch, M., Gold, A.J., Lewis, E., Hripto, J., Sherman, M., Addy, K., Merritts, D., Kan, J., Groffman, P.M. and Walter, R., 2021. Ghosts of landuse past: legacy effects of milldams for riparian nitrogen (N) processing and water quality functions.  Environmental Research Letters, 16(3), p.035016.

  18. Hollister, J.W., Kellogg, D.Q., Lei-Parent, Q., Wilson, E., Chadwick, C., Dickson, D., Gold, A. and Arnold, C., 2022. nsink: An R package for flow path nitrogen removal estimation. Journal of Open Source Software, 7(71), p.4039.

  19. Lewis, E., S.M. Inamdar, A.J. Gold, K. Addy, T. Trammell, D. Merritts, S., M. Peipoch, P.M. Groffman, J. Hripto, M. Sherman,  J. Kan, R. Walter and E.P. Lewis. 2021. Draining the landscape: How do nitrogen concentrations in riparian groundwater and stream water change following milldam removal? Journal of Geophysical Research – Biogeosciences

  20. Suriano, Z. J., C. M. Siegert, D. J. Leathers, A. J. Gold, K. Addy, A. W. Schroth, E. Seybold, S. Inamdar, and D. F. Levia. 2021. Effects of atmospheric circulation on stream chemistry in forested watersheds across the northeastern United States: Part 2. Interannual weather type variability. Journal of Geophysical Research: Atmospheres.  e2021JD034546.

  21. Hollister. J. W., Kellogg, D. Q., Kreakie, B. J., Shivers, S., Milstead, W. B., Herron, E., Green, L., Gold, A. 2021. Increasing Chlorophyll a Amid Stable Nutrient  Concentrations in Rhode Island Lakes and Reservoirs. Ecosphere 12, no. 6 (2021): e03555.

  22. Muñoz-Carpena, R., Z. Yu, A. Carmona-Cabrero, G. Fox, O. Batelaan, A. Bardossy. 2022. Convergence of mechanistic modeling and artificial intelligence (AI) in hydrologic science and engineering. (under review, J. Hydrology).

  23. Muñoz-Carpena, R., Reichenberger S., Sittig S., Sur R. (2022). Complex effects of leaching, sedimentation, sorption and degradation on runoff remobilization of pesticide residues in vegetative filter strips (under review, ACS Environmental AU).

  24. Reichenberger, R., R. Sur, S. Sittig, S. Multsch, Á. Carmona-Cabrero, J.J. López and R Muñoz-Carpena. 2022. Dynamic prediction of effective runoff sediment particle size for improved assessment of pesticide mitigation efficiency with vegetative filter strips (under review, Sci. Total Env.)

  25. Muñoz-Carpena, R., A. Ritter, R. Sur, S. Reichenberger. 2022. Effect of hydrograph type on the calculation of pesticide mitigation efficiencies of vegetative filter strips with VFSMOD in the regulatory context. (Under review, Integr. Environ. Assess. Manag.). 

  26. Zhang, Y., R. Bhattarai and R. Muñoz-Carpena. 2022. Effectiveness of vegetative filter strips for sediment control from steep construction areas. (Under review, Catena)

  27. Orozco-López E., R. Muñoz-Carpena and B. Gao. 2022. Quantification of solute transport in a soil profile with activated macropore networks using light transmission experiments. (Under review, J Hydrology)

  28. Muñoz-Carpena, R., C. Lauvernet, N. Carluer and G.A. Fox. 2021. Comment on “Modeling slope rainfall-infiltration-runoff process with shallow water table during complex rainfall patterns” by Wu et al. 2021. J. Hydrology X 13:100133. doi:10.1016/j.hydroa.2021.100113.

  29. Barchiesi*, S., A. Alonso, M. Pazmiño-Hernandez, J.M. Serrano-Sandí, R. Muñoz-Carpena, C. Angelini. 2021. Wetland hydropattern and vegetation greenness predict avian populations in Palo Verde, Costa Rica. Ecological Applications. doi:10.1002/eap.2493.

  30. Orozco-Lopez*, E. and R. Muñoz-Carpena, R. 2021. Comparative non-Darcian modelling of subsurface preferential flow experimental observations in a riparian buffer. Trans. ASABE 64(5). doi:10.13031/trans.14559.

  31. Vazquez*, K.M, R. Muñoz-Carpena, M.D. Danyluk, A.H. Havelaar. 2021. Parsimonious mechanistic modeling of bacterial runoff to inform food safety management of agricultural water quality. Appl. Environ. Microbiol. 87(15):e00596-21. doi:10.1128/AEM.00596-21.

  32. Luquin*, E., M.A. Campo-Bescós, R. Muñoz-Carpena, R.L. Bingner, R.M. Cruse, H.G. Momm, R.R. Wells, J.Casalí. 2021. Evaluation of model prediction capacity of ephemeral gully temporal evolution in conservation tillage systems. Earth Surf. Process. Landf. 46(10):1909-1925. doi:10.1002/esp.5134

  33. Guertault, L. G.A.Fox, D. Heeren, T. Hallihan and R Muñoz-Carpena. 2021. Quantifying the importance of preferential flow in a riparian buffer. Trans. ASABE 64(3):937-947. doi:10.13031/trans.14286.

  34. Orozco-López*, R. Muñoz-Carpena, B. Gao and G.A. Fox. 2021. High resolution pore-scale water content measurement in a translucent soil profile from light transmission. Trans. ASABE64(3):949-962.doi:10.13031/trans.14292.

  35. Medina M.*, R. Huffaker, R. Muñoz-Carpena and G. Kiker. 2021. An empirical nonlinear dynamics approach to analyzing emergent behavior of agent-based models. AIP Advances11:035133. doi:10.1063/5.0023116

  36. Song, J.H., Her, Y. and Guo, T., 2022. Quantifying the contribution of direct runoff and baseflow to nitrogen loading in the Western Lake Erie Basins. Scientific Reports, 12(1), pp.1-13.

  37. G. Granco, M. Caldas, J. Bergtold, J.L. Heier Stamm, M. Mather, M. Sanderson, M. Daniels, A.Y. Sheshukov, D. Haukos, S. Ramsey. (2022) Local Environment and Individuals’ Beliefs: The Dynamics Shaping Public Support for Sustainability Policy in an Agricultural Landscape. Journal of Environmental Management. 301, 113776. (https://doi.org/10.1016/j.jenvman.2021.113776)

  38. Koudahe, K., Sheshukov, A.Y., Aguilar, J., Djaman, K. (2021) Irrigation-Water Management and Productivity of Cotton: A Review. Sustainability. 131: 70. https://doi.org/10.3390/su131810070

  39. Song, J.H., Her, Y. and Guo, T., 2022. Quantifying the contribution of direct runoff and baseflow to nitrogen loading in the Western Lake Erie Basins. Scientific Reports, 12(1), pp.1-13. https://doi.org/10.1038/s41598-022-12740-1.

  40. Inamdar et al., Saturated, suffocated, and salty: Human legacies produce hotspots of nitrogen in riparian zones. Journal of Geophysical Research Biogeosciences (In review).

  41. Bhatta, A, R. Prasad, D. Chakraborty, J.N. Shaw, J. Lamba, E. Brantley, H.A. Torbert. 2021. Mehlich 3 as a Generic Soil Test Extractant for Environmental Phosphorus Risk Assessment Across Alabama Soil Regions. Agrosyst Geosci Environ. 2021; 4:e20187. https://doi.org/10.1002/agg2.20187

  42. Kumar, K., P. Srivastava, B. V. Ortiz, G. Morata, B. S. Takhellambam, J. Lamba, and L. Bondesan. 2021. Field-Scale Spatial and Temporal Soil Water Variability in Irrigated Croplands. Transactions of the ASABE: 64 (4), 1277-1294. doi: 10.13031/trans.14335

  43. Singh, R., R. Prasad, B. Guertal, K. Balkcom and J. Lamba. 2021. Effects of Broiler Litter Application Rate and Time on Corn Yield and Environmental Nitrogen Loss. Agronomy Journal. doi:https://doi.org/10.1002/agj2.20944.

  44. Stephenson, K., L. Shabman, J. Shortle, Z.M. Easton. 2022. Confronting our agricultural nonpoint source control policy problem. Journal of the American Water Resources Association. https://doi.org/10.1111/1752-1688.13010

  45. Deval, C., E.S. Brooks, M. Dobre, R. Lew, P.R. Robichaud, A. Fowler, J. Boll, A.S. Collick, Z.M. Easton. 2022. Pi-VAT: A web-based visualization tool for decision support using spatially complex water quality model outputs. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2022.127529

  46. Fleming, P., K.S. Stephenson, A.S. Collick, Z.M. Easton. 2022. Targeting for Nonpoint Source Pollution Reduction: A Synthesis of Lessons Learned, Remaining Challenges, and Emerging Opportunities. Journal of Environmental Management. DOI: 10.1016/j.jenvman.2022.114649

  47. Modi, P., J. Czuba, Z.M. Easton. 2022. Coupling a land surface model with a hydrodynamic model for regional flood risk assessment due to climate change: application to the Susquehanna River. Journal of Flood Risk Management. http://doi.org/10.1111/jfr3.12763

  48.  Alamdari, N., P. Claggett, D.J. Sample, Z.M. Easton, M. Yazdi. 2022. Evaluating the joint effects of climate and land use change on runoff and pollutant loading in a rapidly developing watershed. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2021.129953

  49.  Ketterings, Q. C. Twombly, A. Collick, J. Faulkner, Z.M. Easton. 2022. An evaluation BMP performance using a regional P Index and process-based watershed models. Journal of Environmental Quality (In Press).

  50.  Ebadi N., D. Bosch, R.R. White, M. Wagena, A.S. Collick, Z.M. Easton. 2022. costs of reducing emissions from a dairy farm: a constrained optimization approach. Agricultural Systems. (In Press).

  51.  Modi, P., D.R. Fuka, Z.M. Easton. 2021. Impacts of climate change on terrestrial hydrological components and crop water use in the Chesapeake Bay watershed. Journal of Hydrology Regional Studies. https://doi.org/10.1016/j.ejrh.2021.100830

  52.  Modi, P., D.R. Fuka, Z.M. Easton. 2021. Data in Short “Impacts of Climate Change on Terrestrial Hydrological Components and Crop Water Requirement in the Chesapeake Bay Watershed. Journal of Hydrology Regional Studies. https://doi.org/10.6084/M9.FIGSHARE.14049569

  53. Stephenson, K., W. Ferris, E. Bock, Z.M. Easton. 2021. Treatment of legacy nitrogen as a compliance option to meet Chesapeake Bay TMDL requirements. Environmental Science & Technology. https://doi.org/10.1021/acs.est.1c04022

  54. Duan, Y., Akula, S., Kumar, S., Lee, W. & Khajehei, S. A Hybrid Physics-AI Model to Improve Hydrological Forecasts. Artificial Intelligence for the Earth Systems accepted, doi:10.1175/AIES-D-22-0023.1 (2022).

  55. Pan, Z., Kumar, S., Zhang, Y., & Shi, C (2022). Central continental boreal summer “warming holes” modulated by Atlantic Multidecadal Oscillation via low‐level jets. Journal of Geophysical Research: Atmospheres, e2021JD035217.

  56. Hripto*, J., Inamdar, S., Sherman, M., Peck, E., Gold, A., Bernasconi, S., Addy, K., & Peipoch, M. Effects of relic low-head dams on stream denitrification potential: seasonality and biogeochemical controls. Aquatic Sciences. https://doi.org/10.1007/s00027-00894-z (2022) 84:60

  57. Peck*, E., Inamdar, S., Sherman, M., Hripto, J., Peipoch, M., Gold, A., & Addy, K. Nitrogen sinks or sources? Denitrification and nitrogen removal potential in riparian legacy sediment terraces affected by milldams. Journal of Geophysical Research Biogeosciences. https://doi.org/10.1007/s00027-022-00894-z

  58. Sherman*, M., Hripto, J., Peck, E., Gold, A., Peipoch, M., Imhoff, P., & Inamdar, S. Backed-up, Saturated, and Stagnant: Effect of Milldams on Upstream Riparian Groundwater Hydrologic and Mixing Regimes. Water Resources Research https://doi.org/10.1029/2022WR03303

  59. Dey, S., Saksena, S., Winter, D., Merwade, V. and McMillan, S., 2022. Incorporating Network Scale River Bathymetry to Improve Characterization of Fluvial Processes in Flood Modeling. Water Resources Research, p.e2020WR029521.

  60. Hanna, K., Paul, M., Negahban-Azar, M., and Shirmohammadi, A. (2021). Developing a Decision Support System for Economic Analysis of Irrigation Applications in Temperate Zones. Water. https://doi.org/10.3390/w13152044

  61. Paul, M., Rajib, A., Negahban-Azar, M., Shirmohammadi, A., Srivastava, P. 2021. Improved Agricultural Water Management in Data-scarce Semi-arid Watersheds: Value of Integrating Remotely Sensed Leaf Area Index in Hydrological Modeling. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2021.148177

  62. Paul, M., M. Negahban-Azar, A. Shirmohammadi, and H. Montas. 2021. Developing a Multicriteria Decision Analysis Framework to Evaluate Reclaimed Wastewater Use for agricultural Irrigation: The Case Study of Maryland. Hydrology 8(4):18p.

  63. Huang, Y., R. Bawa, J. Mullen, N. Hoghooghi, L. Kalin, P. Dwivedi (2022), “A Stochastic Dynamic Optimization Approach for Understanding Expected Land Use Changes to Meet Potential Water Quality Regulations: A Case Study from Georgia, United States”, Agricultural Water Management. 271, 107799.

  64. Bian, Z., S. Pan, Z. Wang, Y. Yao, R. Xu, H. Shi, L. Kalin, C. Anderson, D. Justic, S. Lohrenz, H. Tian (2022), “A century-long trajectory of phosphorus loading and export from Mississippi River Basin to the Gulf of Mexico: Contributions of multiple environmental changes”, Global Biogeochemical Cycles. 36, e2022GB007347. https://doi.org/10.1029/2022GB007347.

  65. Haas, H., L. Kalin, P. Srivastava (2022), “Improved Forest Dynamics Leads to Better Hydrological Predictions in Watershed Modeling”, Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2022.153180.

  66. Haas, H., M. Reaver, R. Karki, L. Kalin, P. Srivastava, D. Kaplan, C.A. Gonzalez-Benecke (2021), “Improving the representation of forests in hydrological models”, Science of Total Environment. https://doi.org/10.1016/j.scitotenv.2021.151425.

  67. Haas, H, F. Dosdogru, L. Kalin, H. Yen (2021), “Land use and land cover input data affects the prediction of ecologically relevant flows in hydrologic modeling Corresponding Author”, Water. 13(21), 2947. https://doi.org/10.3390/w13212947.

  68. Karki, R., P. Srivastava, L. Kalin, S. Mitra, S. Singh (2021), “Assessment of impact in groundwater levels and stream-aquifer interaction due to increased groundwater withdrawal in the lower Apalachicola-Chattahoochee-Flint (ACF) River Basin using MODFLOW”, Journal of Hydrology: Regional Studies. Vol 34. https://doi.org/10.1016/j.ejrh.2021.100802.

  69. Ramesh, R. L. Kalin, M. Hantush, A. Chaudhary (2021), “A Secondary Assessment of Sediment Trapping Effectiveness by Vegetated Buffers”, Ecological Engineering. Vol 159. https://doi.org/10.1016/j.ecoleng.2020.106094.

  70. Wagner, K.L., T.J. Gentry, R.D. Harmel, E.C. Pope, L.A. Redmon. 2021. Grazing effects on bovine-associated and background fecal indicator bacteria levels in edge-of-field runoff. Water 2021, 13, 928. https://doi.org/10.3390/w13070928.



  1. Boyer EW, MA Moritz, and MG Brown (2022). Smoke deposition to water surfaces drives hydrochemical changes. Hydrological Processes, 36(6), e14626, DOI: 10.1002/hyp.14626

  2. Clark KH, DD Iwanowicz, LR Iwanowicz, SJ Mueller, JM Wisor, C Bradshaw-Wilson, WB Schill, JR Stauffer, Jr., and EW Boyer (2022). Freshwater unionid mussels threatened by predation of Round Goby (Neogobius melanostomus). Scientific Reports, 12, 12859, DOI: 10.1038/s41598-022-16385-y (plus supporting dataset at HydroShare public data repository, DOI: 10.4211/hs.e46d4769a8a346fcaed7a27fcceb20ad)

  3. Clark KH, JM Wisor, SJ Mueller, C Bradshaw-Wilson, EW Boyer, and JR Stauffer, Jr. (2021). Status of freshwater mussels (Unionidae) in the French Creek watershed, USA at the onset of invasion by Round Goby, Neogobius melanostomus. Water, 13(21), 3064; DOI: 10.3390/w13213064

  4. Zhang K, J. Shen, L Guo, EW Boyer, CR Mello, P Lan, H Liu, J Gao, and B Fan (2021). Flood drainage rights in watersheds based on the harmonious allocation method. Journal of Hydrology, DOI: 10.1016/j.jhydrol.2021.126627

  5. Zhang L, G Qin, P Lan, L Yang, CR Mello, EW Boyer, and L Guo (2021). Evaluation of three gridded precipitation products in a data scarce region in mountainous areas of the west China. Remote Sensing, 13:3795, DOI:10.3390/rs13193795


2) Thesis/Dissertation:



  1. Timothy McGill. Assessing machine learning utility in predicting hydrologic and nitrate dynamics in karst agroecosystems, MS Student (Primary Advisor, Fall 2019-May 2022).

  2. Rosalia Agioutanti. Classifying and mapping aquatic vegetation in heterogenous stream ecosystems using visible and multispectral uav imagery, MS Student (Primary Advisor, Fall 2019-May 2022).

  3. Gina DeGraves. Sediment nitrogen dynamics in backwater wetland confluences of a regulated river, MS Student (Primary Advisor, Summer 2019-Fall 2021).

  4. Lorena Lacerda. 2021. Using remote sensing to develop irrigation scheduling tools for variable rate irrigation, Ph.D. Dissertation, University of Georgia, pp 183.

  5. Shahed Behrouz, M., 2022. Improving Predictions of Stormwater Quantity and Quality through the Application of Modeling and Data Analysis Techniques from National to Catchment Scales, Ph.D. Dissertation, Virginia Tech, pp 203.

  6. Umme Fatema Piu. 2022. Evaluating evapotranspiration rates for corn and cotton in thermo-limited climate of southwest Kansas. MS, Kansas State University.

  7. Dey, S., 2021. Enabling large-scale hydrologic and hydraulic modeling through improved topographic representation. PhD dissertation, Purdue University.

  8. Phillippe, A.J. 2022. Determining bacterial and nutrient concentrations and loadings of surface runoff from differing grazer access and vegetative cover in Northcentral Oklahoma. MS Thesis, Oklahoma State University.


3) Proposals Awarded/Submitted:



  1. Fox, J., Ford, W., Mahoney, D., Armstead, M., Dadi, G. BPE-Track 3:  Inclusive Mentoring Hub for Enabling Pathways from Inner-City and Rural Appalachian Households to Engineering in Kentucky and West Virginia. NSF-BPE. $799,445. Role Co-Investigator. July 2022-July 2027

  2. Ford, W. Using edge-of-field data and modeling to inform H2Ohio. Ohio department of agriculture  $150,000 (as sub-award from USDA-ARS). Role: Principal Investigator.

  3. Fox, J., Mahoney, D., Ford, W., Armstead, M. RII-BEC: Undergraduate research as a model of excellence to broaden STEM participation in EPSCoR jurisdictions: What are the mentoring costs? NSF RII-BEC. $1,000,000. Role Co-Investigator.

  4. Improving the Sustainability of Georgia Cotton by Increasing Nitrogen and Water Use Efficiencies, Georgia Cotton Commission, 2021-2022, $58,000, Vellidis PI

  5. Expansion of an Irrigation Scheduling Application to the U.S, Cotton Incorporated, 2021-2022, $50,000, Vellidis PI

  6. Incorporating Volumetric Water Content (Capacitance) Sensors into the Irrigator Pro-Based Irrigation Scheduling Tool, 2021-2022, $18,000, Vellidis PI

  7. Making Irrigator Pro an Easier-to-Use Irrigation Scheduling Tool, 2021-2022, Southern Peanut Research Initiative, $25,000, Vellidis PI.

  8. Sample, D.J. and Scott, D., Vibrant Virginia-Improving the Resilience of Stormwater Treatment in Fredericksburg: Amount: $60,000. Sponsor: VT Center for Economic and Community Engagement, 1/01/2021 - 06/30/2022.

  9. Shahed Behrouz, M., 2021. New Conceptualizations of Catchment-Scale Stormwater Pollution Generation Processes, Virginia Water Resources Research Center Competitive Grant, $7,000, 10/1/21-8/31/22. 

  10. Cardace, D., Pradhanang, S. M., and Moseman-Valtiera, S., Planetary Methane in Ultramafic Contexts: Searching for Cyclicity in Methane Emissions at a Planetary Analog Site in Northern California, NASA-EPSCoR $735,000 (6/2022-6/2025)

  11. Savage, B., Pradhanang, S. M., Boving, T. Mapping Bedrock and Saltwater Intrusion in Rhode Island, USGS $90,000 (09/2021-08/2022)

  12. Savage, B., Pradhanang, S. M., Boving, T., Mapping Bedrock and Saltwater Intrusion in Rhode Island USGS $117,337 (09/2022-08/2023)

  13. Pradhanang, S., Kumar, R, and Rashid T, Floating Treatment Wetland System (FTWS) - Sustainable green technology to remediate polluted surface water bodies in the COVID 19-era , Asia- Pacific  Network $78,000 (09/2021-08/2023)

  14. Pradhanang, S. M., Boving, T., and Savage, B. The Rhode Island Water Resources Board (RIWRB) and University of Rhode Island (URI) Statewide Water Withdrawal Data Enhancement and Database Development Project. RIWRB-USGS $197,488 (10/20-09/22)

  15. T Franti, A. Sheshukov, J. Lory, R. Cruse. Developing and assessing innovative ephemeral gully erosion control practices. (2021-2023). USDA $344,538

  16. R.L. North, A. Ohler, L. McCann, T. Moore, A. Sheshukov. Valuing Water Quality Improvements in Heartland Reservoirs. (2022-2025) EPA $741,285

  17. Pradhanang, S.M., Liu, P. Water Availability through the Integration of Hydrologic Model and Water Management Optimization Tool for Chipuxet River Watershed, Rhode Island. RIWRC-USGS. (2022-2023) USGS $50,000

  18. USDA-Cooperative Agreement. Fuka, D.R., Z.M. Easton, R.R. White. Developing and evaluating rapidly deployable inexpensive weather, soil moisture, shock, and streamflow sensors to aid the monitoring, inspection, and rehabilitation of aging dams. $225,000. Dec 2021-Nov 2022.

  19. USDA-Cooperative Agreement. Easton, Z.M. Modeling the Lake Champlain Basin CEAP watersheds to understand and predict conservation effects on legacy phosphorus. $134,223. Oct 2021-Sept 2023.

  20. Virginia Tech CALS Strategic Plan Advancement. Easton, Z.M., R.R. White, K. Hamed, D.R. Fuka, M. Eick. Eyes in the Sky and Boots on the Ground: Collaborative Technologies for Monitoring and Managing Livestock Pastures. $60,000. Oct 2021-May 2023.

  21. NSF CPS (Cyber-Physical Systems). White, R.R., E. Feuerbacher, Z.M. Easton. Collaborative Research: CPS: Medium: Greener Pastures: A pasture sanitation cyber physical system for environmental enhancement and animal monitoring. $998,232. Jan 2022-Dec 2024.

  22. Lewis, K., K. Wagner, A. Berthold, P. DeLaune, J. Bell, D. Miller Sustainable. Agricultural Intensification and Enhancement through the Utilization of Regenerative Agricultural Management Practices. Amount: $583,438 (Total Award: $10,000,000). Sponsor: USDA-NIFA Sustainable Ag Systems Program, 9/1/2021-8/31/2026.

  23. Wagner, K. Dam Analysis Modernization of Tools, Applications, Guidance, and Standardization (DAM-TAGS) Project – Year 1. Amount: $478,238. Sponsor: USDA-ARS Cooperative Agreement, 6/10/2021-6/9/2022.

  24. Wagner, K., R. Bonett, A. Sewell, J. Gonzalez Estrella, S. Kim, A. Dzialowski. Oklahoma Water Resources Research Institute Program (USGS Base Funds FY21). Amount: $125,000. Sponsor: USGS, 9/1/2021-8/31/2022.

  25. Mirchi, A, K. Wagner, S. Taghvaeian, Sarah Alian, R. Bailey. Conjunctive Freshwater-Saltwater Management for Climate-Resilient Agroecosystems. Amount: $181,568 (Total Award: $749,786). Sponsor: USDA-NIFA Foundational Program, 12/31/2021-12/12/2025.

  26. Wagner, K., S. Sharma, S. Taghvaeian, S. Frazier, J. Warren, A. Mirchi. Oklahoma Master Irrigator Program and Ogallala Aquifer Study. Amount: $150,000. Sponsor: Oklahoma Conservation Commission, 7/1/2021-6/30/2022.

  27. Reuter, R., K. Wagner, L. Goodman, C. Duchardt, B. Murray. Increasing the pace & scale of adoption of prescribed grazing through virtual fence technology. Amount: $93,188 (Total Award: $1,365,774). Sponsor: USDA-NRCS Conservation Innovation Grant, 7/1/2022-6/30/2025.

11/09/2022

 



  1. Nazari, S., Ford, W.I., King, K. 2022.  Impact of flow pathway and source water connectivity on subsurface sediment and particulate phosphorus dynamics in tile-drained agroecosystems. Agricultural Water Management. 269: 107641. https://doi.org/10.1016/j.agwat.2022.107641. 

  2. Riddle, B., Fox, J., Mahoney, D. T., Ford, W., Wang, Y., Pollock, E., Backus, J. 2022. Investigation of carbon and nitrogen stable isotope tracers (non)conservativeness for sediment fingerprinting. Science of the Total Environment. 817: 152640. https://doi.org/10.1016/j.scitotenv.2021.152640. 

  3. Radcliff, C., Ford, W.I., Nazari, S. Sheppard, C.  2021. Impact of water source dynamics on dissolved reactive phosphorus loadings in heterogeneous karst agroecosystems with phosphatic limestones. Hydrological Processes. 35(11): e14422. 36Thttps://doi.org/10.1002/hyp.1442236T. 

  4. Husic, A., Fox, J., Al Aamery, N., Ford, W., Pollock, E., Backus, J. 2021. Seasonality of recharge drives spatial and temporal nitrate removal in a karst conduit as evidenced by nitrogen isotope modeling. JGR Biogeosciences. e2021JG006454. https://doi.org/10.1029/2021JG006454. 

  5. Shahed Behrouz, M.S., Yazdi, M.N., Sample, D.J., 2022. Using Random Forest, a machine learning approach to predict nitrogen, phosphorus, and sediment event mean concentrations in urban runoff. J. Environ. Manage. 317, 115412. https://doi.org/10.1016/j.jenvman.2022.115412

  6. Shahed Behrouz, M. S., Yazdi, M. N., Sample, D. J., Scott, D., and Owen, J. S., 2022. What are the relevant sources and factors affecting event mean concentrations (EMCs) of nutrients and sediment in stormwater? Science of the Total Environment, 828, 154368. https://doi.org/10.1016/j.scitotenv.2022.154368

  7. Alamdari, N., Claggett, P., Sample, D., Easton, Z., and Nayeb Yazdi, M., 2022. Evaluating the joint effects of climate and land use change on runoff and pollutant loading. Journal of Cleaner Production, 330, 129953, doi:10.1016/j.jclepro.2021.129953 

  8. Sangster, S., Gruver, M., Lacerda, L., Perry, C., Washington, B., Vellidis, G. 2021. Evaluation of irrigation and fertilization strategies to improve irrigation and nitrogen water use efficiencies in cotton. 2021 ASA, CSSA, SSSA International Annual Meeting, 08 November 2021, Salt Lake City, UT, USA, https://scisoc.confex.com/scisoc/2021am/prelim.cgi/Paper/136430 

  9. Vellidis, G., Butts, C., Gallios, I., Ortiz, B. 2021. CropFIT - an integrated SmartIrrigation mobile app for corn, cotton, peanut, and soybean. 2021 ASA, CSSA, SSSA International Annual Meeting, 08 November 2021, Salt Lake City, UT, USA, https://scisoc.confex.com/scisoc/2021am/prelim.cgi/Paper/135167

  10. Gallios, I., Butts, C., Perry, C., Vellidis, G. 2021. Making Irrigator Pro and easier to use irrigation scheduling tool. 2021 ASA, CSSA, SSSA International Annual Meeting, 08 November 2021, Salt Lake City, UT, USA, https://scisoc.confex.com/scisoc/2021am/prelim.cgi/Paper/135255 

  11. Shrestha, S.G. and Pradhanang, S.M., 2022. Optimal selection of representative climate models and statistical downscaling for climate change impact studies: a case study of Rhode Island, USA. Theoretical and Applied Climatology.

  12. Sharma, S., Talchabhadel, R., Nepal, S., Ghimire, G., Rakhal, B., Panthi, J., Adhikari, B., Pradhanang, S. M., Maskey, S., and Kumar, S., 2022. Increasing risk of cascading hazards in the central Himalayas. Nat Hazards. https://doi.org/10.1007/s11069-022-05462-0

  13. Panthi, J., Pradhanang, S.M., Nolte, A. and Boving, T.B., 2022. Saltwater intrusion into coastal aquifers in the contiguous United States—A systematic review of investigation approaches and monitoring networks. Science of The Total Environment, p.155641.

  14. Pengfei Liu, Yu Wang, Wei Zhang, "The Influence of the Environmental Quality Incentives Program on Local Water Quality", American Journal of Agricultural Economics. 2022. https://doi.org/10.1111/ajae.12316

  15. Odeh, T., Mohammad, A.H., Pradhanang, S.M., Ismail, M. and Rödiger, T., 2021. GIS-based Analytical Modeling on Evaluating Impacts of Urbanization in Amman Water Resources, Jordan.

  16. Panthi, J., Talchabhadel, R., Ghimire, G.R., Sharma, S., Dahal, P., Baniya, R., Boving,  T., Pradhanang, S.M. and Parajuli, B., 2021. Hydrologic  Regionalization under Data Scarcity: Implications for Streamflow Prediction. Journal of Hydrologic Engineering, 26(9), p.05021022.

  17. Inamdar, S., Peipoch, M., Gold, A.J., Lewis, E., Hripto, J., Sherman, M., Addy, K., Merritts, D., Kan, J., Groffman, P.M. and Walter, R., 2021. Ghosts of landuse past: legacy effects of milldams for riparian nitrogen (N) processing and water quality functions.  Environmental Research Letters, 16(3), p.035016.

  18. Hollister, J.W., Kellogg, D.Q., Lei-Parent, Q., Wilson, E., Chadwick, C., Dickson, D., Gold, A. and Arnold, C., 2022. nsink: An R package for flow path nitrogen removal estimation. Journal of Open Source Software, 7(71), p.4039.

  19. Lewis, E., S.M. Inamdar, A.J. Gold, K. Addy, T. Trammell, D. Merritts, S., M. Peipoch, P.M. Groffman, J. Hripto, M. Sherman,  J. Kan, R. Walter and E.P. Lewis. 2021. Draining the landscape: How do nitrogen concentrations in riparian groundwater and stream water change following milldam removal? Journal of Geophysical Research – Biogeosciences

  20. Suriano, Z. J., C. M. Siegert, D. J. Leathers, A. J. Gold, K. Addy, A. W. Schroth, E. Seybold, S. Inamdar, and D. F. Levia. 2021. Effects of atmospheric circulation on stream chemistry in forested watersheds across the northeastern United States: Part 2. Interannual weather type variability. Journal of Geophysical Research: Atmospheres.  e2021JD034546.

  21. Hollister. J. W., Kellogg, D. Q., Kreakie, B. J., Shivers, S., Milstead, W. B., Herron, E., Green, L., Gold, A. 2021. Increasing Chlorophyll a Amid Stable Nutrient  Concentrations in Rhode Island Lakes and Reservoirs. Ecosphere 12, no. 6 (2021): e03555.

  22. Muñoz-Carpena, R., Z. Yu, A. Carmona-Cabrero, G. Fox, O. Batelaan, A. Bardossy. 2022. Convergence of mechanistic modeling and artificial intelligence (AI) in hydrologic science and engineering. (under review, J. Hydrology).

  23. Muñoz-Carpena, R., Reichenberger S., Sittig S., Sur R. (2022). Complex effects of leaching, sedimentation, sorption and degradation on runoff remobilization of pesticide residues in vegetative filter strips (under review, ACS Environmental AU).

  24. Reichenberger, R., R. Sur, S. Sittig, S. Multsch, Á. Carmona-Cabrero, J.J. López and R Muñoz-Carpena. 2022. Dynamic prediction of effective runoff sediment particle size for improved assessment of pesticide mitigation efficiency with vegetative filter strips (under review, Sci. Total Env.)

  25. Muñoz-Carpena, R., A. Ritter, R. Sur, S. Reichenberger. 2022. Effect of hydrograph type on the calculation of pesticide mitigation efficiencies of vegetative filter strips with VFSMOD in the regulatory context. (Under review, Integr. Environ. Assess. Manag.). 

  26. Zhang, Y., R. Bhattarai and R. Muñoz-Carpena. 2022. Effectiveness of vegetative filter strips for sediment control from steep construction areas. (Under review, Catena)

  27. Orozco-López E., R. Muñoz-Carpena and B. Gao. 2022. Quantification of solute transport in a soil profile with activated macropore networks using light transmission experiments. (Under review, J Hydrology)

  28. Muñoz-Carpena, R., C. Lauvernet, N. Carluer and G.A. Fox. 2021. Comment on “Modeling slope rainfall-infiltration-runoff process with shallow water table during complex rainfall patterns” by Wu et al. 2021. J. Hydrology X 13:100133. doi:10.1016/j.hydroa.2021.100113.

  29. Barchiesi*, S., A. Alonso, M. Pazmiño-Hernandez, J.M. Serrano-Sandí, R. Muñoz-Carpena, C. Angelini. 2021. Wetland hydropattern and vegetation greenness predict avian populations in Palo Verde, Costa Rica. Ecological Applications. doi:10.1002/eap.2493.

  30. Orozco-Lopez*, E. and R. Muñoz-Carpena, R. 2021. Comparative non-Darcian modelling of subsurface preferential flow experimental observations in a riparian buffer. Trans. ASABE 64(5). doi:10.13031/trans.14559.

  31. Vazquez*, K.M, R. Muñoz-Carpena, M.D. Danyluk, A.H. Havelaar. 2021. Parsimonious mechanistic modeling of bacterial runoff to inform food safety management of agricultural water quality. Appl. Environ. Microbiol. 87(15):e00596-21. doi:10.1128/AEM.00596-21.

  32. Luquin*, E., M.A. Campo-Bescós, R. Muñoz-Carpena, R.L. Bingner, R.M. Cruse, H.G. Momm, R.R. Wells, J.Casalí. 2021. Evaluation of model prediction capacity of ephemeral gully temporal evolution in conservation tillage systems. Earth Surf. Process. Landf. 46(10):1909-1925. doi:10.1002/esp.5134

  33. Guertault, L. G.A.Fox, D. Heeren, T. Hallihan and R Muñoz-Carpena. 2021. Quantifying the importance of preferential flow in a riparian buffer. Trans. ASABE 64(3):937-947. doi:10.13031/trans.14286.

  34. Orozco-López*, R. Muñoz-Carpena, B. Gao and G.A. Fox. 2021. High resolution pore-scale water content measurement in a translucent soil profile from light transmission. Trans. ASABE64(3):949-962.doi:10.13031/trans.14292.

  35. Medina M.*, R. Huffaker, R. Muñoz-Carpena and G. Kiker. 2021. An empirical nonlinear dynamics approach to analyzing emergent behavior of agent-based models. AIP Advances11:035133. doi:10.1063/5.0023116

  36. Song, J.H., Her, Y. and Guo, T., 2022. Quantifying the contribution of direct runoff and baseflow to nitrogen loading in the Western Lake Erie Basins. Scientific Reports, 12(1), pp.1-13.

  37. G. Granco, M. Caldas, J. Bergtold, J.L. Heier Stamm, M. Mather, M. Sanderson, M. Daniels, A.Y. Sheshukov, D. Haukos, S. Ramsey. (2022) Local Environment and Individuals’ Beliefs: The Dynamics Shaping Public Support for Sustainability Policy in an Agricultural Landscape. Journal of Environmental Management. 301, 113776. (https://doi.org/10.1016/j.jenvman.2021.113776)

  38. Koudahe, K., Sheshukov, A.Y., Aguilar, J., Djaman, K. (2021) Irrigation-Water Management and Productivity of Cotton: A Review. Sustainability. 131: 70. https://doi.org/10.3390/su131810070

  39. Song, J.H., Her, Y. and Guo, T., 2022. Quantifying the contribution of direct runoff and baseflow to nitrogen loading in the Western Lake Erie Basins. Scientific Reports, 12(1), pp.1-13. https://doi.org/10.1038/s41598-022-12740-1.

  40. Inamdar et al., Saturated, suffocated, and salty: Human legacies produce hotspots of nitrogen in riparian zones. Journal of Geophysical Research Biogeosciences (In review).

  41. Bhatta, A, R. Prasad, D. Chakraborty, J.N. Shaw, J. Lamba, E. Brantley, H.A. Torbert. 2021. Mehlich 3 as a Generic Soil Test Extractant for Environmental Phosphorus Risk Assessment Across Alabama Soil Regions. Agrosyst Geosci Environ. 2021; 4:e20187. https://doi.org/10.1002/agg2.20187

  42. Kumar, K., P. Srivastava, B. V. Ortiz, G. Morata, B. S. Takhellambam, J. Lamba, and L. Bondesan. 2021. Field-Scale Spatial and Temporal Soil Water Variability in Irrigated Croplands. Transactions of the ASABE: 64 (4), 1277-1294. doi: 10.13031/trans.14335

  43. Singh, R., R. Prasad, B. Guertal, K. Balkcom and J. Lamba. 2021. Effects of Broiler Litter Application Rate and Time on Corn Yield and Environmental Nitrogen Loss. Agronomy Journal. doi:https://doi.org/10.1002/agj2.20944.

  44. Stephenson, K., L. Shabman, J. Shortle, Z.M. Easton. 2022. Confronting our agricultural nonpoint source control policy problem. Journal of the American Water Resources Association. https://doi.org/10.1111/1752-1688.13010

  45. Deval, C., E.S. Brooks, M. Dobre, R. Lew, P.R. Robichaud, A. Fowler, J. Boll, A.S. Collick, Z.M. Easton. 2022. Pi-VAT: A web-based visualization tool for decision support using spatially complex water quality model outputs. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2022.127529

  46. Fleming, P., K.S. Stephenson, A.S. Collick, Z.M. Easton. 2022. Targeting for Nonpoint Source Pollution Reduction: A Synthesis of Lessons Learned, Remaining Challenges, and Emerging Opportunities. Journal of Environmental Management. DOI: 10.1016/j.jenvman.2022.114649

  47. Modi, P., J. Czuba, Z.M. Easton. 2022. Coupling a land surface model with a hydrodynamic model for regional flood risk assessment due to climate change: application to the Susquehanna River. Journal of Flood Risk Management. http://doi.org/10.1111/jfr3.12763

  48.  Alamdari, N., P. Claggett, D.J. Sample, Z.M. Easton, M. Yazdi. 2022. Evaluating the joint effects of climate and land use change on runoff and pollutant loading in a rapidly developing watershed. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2021.129953

  49.  Ketterings, Q. C. Twombly, A. Collick, J. Faulkner, Z.M. Easton. 2022. An evaluation BMP performance using a regional P Index and process-based watershed models. Journal of Environmental Quality (In Press).

  50.  Ebadi N., D. Bosch, R.R. White, M. Wagena, A.S. Collick, Z.M. Easton. 2022. costs of reducing emissions from a dairy farm: a constrained optimization approach. Agricultural Systems. (In Press).

  51.  Modi, P., D.R. Fuka, Z.M. Easton. 2021. Impacts of climate change on terrestrial hydrological components and crop water use in the Chesapeake Bay watershed. Journal of Hydrology Regional Studies. https://doi.org/10.1016/j.ejrh.2021.100830

  52.  Modi, P., D.R. Fuka, Z.M. Easton. 2021. Data in Short “Impacts of Climate Change on Terrestrial Hydrological Components and Crop Water Requirement in the Chesapeake Bay Watershed. Journal of Hydrology Regional Studies. https://doi.org/10.6084/M9.FIGSHARE.14049569

  53. Stephenson, K., W. Ferris, E. Bock, Z.M. Easton. 2021. Treatment of legacy nitrogen as a compliance option to meet Chesapeake Bay TMDL requirements. Environmental Science & Technology. https://doi.org/10.1021/acs.est.1c04022

  54. Duan, Y., Akula, S., Kumar, S., Lee, W. & Khajehei, S. A Hybrid Physics-AI Model to Improve Hydrological Forecasts. Artificial Intelligence for the Earth Systems accepted, doi:10.1175/AIES-D-22-0023.1 (2022).

  55. Pan, Z., Kumar, S., Zhang, Y., & Shi, C (2022). Central continental boreal summer “warming holes” modulated by Atlantic Multidecadal Oscillation via low‐level jets. Journal of Geophysical Research: Atmospheres, e2021JD035217.

  56. Hripto*, J., Inamdar, S., Sherman, M., Peck, E., Gold, A., Bernasconi, S., Addy, K., & Peipoch, M. Effects of relic low-head dams on stream denitrification potential: seasonality and biogeochemical controls. Aquatic Sciences. https://doi.org/10.1007/s00027-00894-z (2022) 84:60

  57. Peck*, E., Inamdar, S., Sherman, M., Hripto, J., Peipoch, M., Gold, A., & Addy, K. Nitrogen sinks or sources? Denitrification and nitrogen removal potential in riparian legacy sediment terraces affected by milldams. Journal of Geophysical Research Biogeosciences. https://doi.org/10.1007/s00027-022-00894-z

  58. Sherman*, M., Hripto, J., Peck, E., Gold, A., Peipoch, M., Imhoff, P., & Inamdar, S. Backed-up, Saturated, and Stagnant: Effect of Milldams on Upstream Riparian Groundwater Hydrologic and Mixing Regimes. Water Resources Research https://doi.org/10.1029/2022WR03303

  59. Dey, S., Saksena, S., Winter, D., Merwade, V. and McMillan, S., 2022. Incorporating Network Scale River Bathymetry to Improve Characterization of Fluvial Processes in Flood Modeling. Water Resources Research, p.e2020WR029521.

  60. Hanna, K., Paul, M., Negahban-Azar, M., and Shirmohammadi, A. (2021). Developing a Decision Support System for Economic Analysis of Irrigation Applications in Temperate Zones. Water. https://doi.org/10.3390/w13152044

  61. Paul, M., Rajib, A., Negahban-Azar, M., Shirmohammadi, A., Srivastava, P. 2021. Improved Agricultural Water Management in Data-scarce Semi-arid Watersheds: Value of Integrating Remotely Sensed Leaf Area Index in Hydrological Modeling. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2021.148177

  62. Paul, M., M. Negahban-Azar, A. Shirmohammadi, and H. Montas. 2021. Developing a Multicriteria Decision Analysis Framework to Evaluate Reclaimed Wastewater Use for agricultural Irrigation: The Case Study of Maryland. Hydrology 8(4):18p.

  63. Huang, Y., R. Bawa, J. Mullen, N. Hoghooghi, L. Kalin, P. Dwivedi (2022), “A Stochastic Dynamic Optimization Approach for Understanding Expected Land Use Changes to Meet Potential Water Quality Regulations: A Case Study from Georgia, United States”, Agricultural Water Management. 271, 107799.

  64. Bian, Z., S. Pan, Z. Wang, Y. Yao, R. Xu, H. Shi, L. Kalin, C. Anderson, D. Justic, S. Lohrenz, H. Tian (2022), “A century-long trajectory of phosphorus loading and export from Mississippi River Basin to the Gulf of Mexico: Contributions of multiple environmental changes”, Global Biogeochemical Cycles. 36, e2022GB007347. https://doi.org/10.1029/2022GB007347.

  65. Haas, H., L. Kalin, P. Srivastava (2022), “Improved Forest Dynamics Leads to Better Hydrological Predictions in Watershed Modeling”, Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2022.153180.

  66. Haas, H., M. Reaver, R. Karki, L. Kalin, P. Srivastava, D. Kaplan, C.A. Gonzalez-Benecke (2021), “Improving the representation of forests in hydrological models”, Science of Total Environment. https://doi.org/10.1016/j.scitotenv.2021.151425.

  67. Haas, H, F. Dosdogru, L. Kalin, H. Yen (2021), “Land use and land cover input data affects the prediction of ecologically relevant flows in hydrologic modeling Corresponding Author”, Water. 13(21), 2947. https://doi.org/10.3390/w13212947.

  68. Karki, R., P. Srivastava, L. Kalin, S. Mitra, S. Singh (2021), “Assessment of impact in groundwater levels and stream-aquifer interaction due to increased groundwater withdrawal in the lower Apalachicola-Chattahoochee-Flint (ACF) River Basin using MODFLOW”, Journal of Hydrology: Regional Studies. Vol 34. https://doi.org/10.1016/j.ejrh.2021.100802.

  69. Ramesh, R. L. Kalin, M. Hantush, A. Chaudhary (2021), “A Secondary Assessment of Sediment Trapping Effectiveness by Vegetated Buffers”, Ecological Engineering. Vol 159. https://doi.org/10.1016/j.ecoleng.2020.106094.

  70. Wagner, K.L., T.J. Gentry, R.D. Harmel, E.C. Pope, L.A. Redmon. 2021. Grazing effects on bovine-associated and background fecal indicator bacteria levels in edge-of-field runoff. Water 2021, 13, 928. https://doi.org/10.3390/w13070928.



  1. Boyer EW, MA Moritz, and MG Brown (2022). Smoke deposition to water surfaces drives hydrochemical changes. Hydrological Processes, 36(6), e14626, DOI: 10.1002/hyp.14626

  2. Clark KH, DD Iwanowicz, LR Iwanowicz, SJ Mueller, JM Wisor, C Bradshaw-Wilson, WB Schill, JR Stauffer, Jr., and EW Boyer (2022). Freshwater unionid mussels threatened by predation of Round Goby (Neogobius melanostomus). Scientific Reports, 12, 12859, DOI: 10.1038/s41598-022-16385-y (plus supporting dataset at HydroShare public data repository, DOI: 10.4211/hs.e46d4769a8a346fcaed7a27fcceb20ad)

  3. Clark KH, JM Wisor, SJ Mueller, C Bradshaw-Wilson, EW Boyer, and JR Stauffer, Jr. (2021). Status of freshwater mussels (Unionidae) in the French Creek watershed, USA at the onset of invasion by Round Goby, Neogobius melanostomus. Water, 13(21), 3064; DOI: 10.3390/w13213064

  4. Zhang K, J. Shen, L Guo, EW Boyer, CR Mello, P Lan, H Liu, J Gao, and B Fan (2021). Flood drainage rights in watersheds based on the harmonious allocation method. Journal of Hydrology, DOI: 10.1016/j.jhydrol.2021.126627

  5. Zhang L, G Qin, P Lan, L Yang, CR Mello, EW Boyer, and L Guo (2021). Evaluation of three gridded precipitation products in a data scarce region in mountainous areas of the west China. Remote Sensing, 13:3795, DOI:10.3390/rs13193795


2) Thesis/Dissertation:



  1. Timothy McGill. Assessing machine learning utility in predicting hydrologic and nitrate dynamics in karst agroecosystems, MS Student (Primary Advisor, Fall 2019-May 2022).

  2. Rosalia Agioutanti. Classifying and mapping aquatic vegetation in heterogenous stream ecosystems using visible and multispectral uav imagery, MS Student (Primary Advisor, Fall 2019-May 2022).

  3. Gina DeGraves. Sediment nitrogen dynamics in backwater wetland confluences of a regulated river, MS Student (Primary Advisor, Summer 2019-Fall 2021).

  4. Lorena Lacerda. 2021. Using remote sensing to develop irrigation scheduling tools for variable rate irrigation, Ph.D. Dissertation, University of Georgia, pp 183.

  5. Shahed Behrouz, M., 2022. Improving Predictions of Stormwater Quantity and Quality through the Application of Modeling and Data Analysis Techniques from National to Catchment Scales, Ph.D. Dissertation, Virginia Tech, pp 203.

  6. Umme Fatema Piu. 2022. Evaluating evapotranspiration rates for corn and cotton in thermo-limited climate of southwest Kansas. MS, Kansas State University.

  7. Dey, S., 2021. Enabling large-scale hydrologic and hydraulic modeling through improved topographic representation. PhD dissertation, Purdue University.

  8. Phillippe, A.J. 2022. Determining bacterial and nutrient concentrations and loadings of surface runoff from differing grazer access and vegetative cover in Northcentral Oklahoma. MS Thesis, Oklahoma State University.


3) Proposals Awarded/Submitted:



  1. Fox, J., Ford, W., Mahoney, D., Armstead, M., Dadi, G. BPE-Track 3:  Inclusive Mentoring Hub for Enabling Pathways from Inner-City and Rural Appalachian Households to Engineering in Kentucky and West Virginia. NSF-BPE. $799,445. Role Co-Investigator. July 2022-July 2027

  2. Ford, W. Using edge-of-field data and modeling to inform H2Ohio. Ohio department of agriculture $150,000 (as sub-award from USDA-ARS). Role: Principal Investigator.

  3. Fox, J., Mahoney, D., Ford, W., Armstead, M. RII-BEC: Undergraduate research as a model of excellence to broaden STEM participation in EPSCoR jurisdictions: What are the mentoring costs? NSF RII-BEC. $1,000,000. Role Co-Investigator.

  4. Improving the Sustainability of Georgia Cotton by Increasing Nitrogen and Water Use Efficiencies, Georgia Cotton Commission, 2021-2022, $58,000, Vellidis PI

  5. Expansion of an Irrigation Scheduling Application to the U.S, Cotton Incorporated, 2021-2022, $50,000, Vellidis PI

  6. Incorporating Volumetric Water Content (Capacitance) Sensors into the Irrigator Pro-Based Irrigation Scheduling Tool, 2021-2022, $18,000, Vellidis PI

  7. Making Irrigator Pro an Easier-to-Use Irrigation Scheduling Tool, 2021-2022, Southern Peanut Research Initiative, $25,000, Vellidis PI.

  8. Sample, D.J. and Scott, D., Vibrant Virginia-Improving the Resilience of Stormwater Treatment in Fredericksburg: Amount: $60,000. Sponsor: VT Center for Economic and Community Engagement, 1/01/2021 - 06/30/2022.

  9. Shahed Behrouz, M., 2021. New Conceptualizations of Catchment-Scale Stormwater Pollution Generation Processes, Virginia Water Resources Research Center Competitive Grant, $7,000, 10/1/21-8/31/22. 

  10. Cardace, D., Pradhanang, S. M., and Moseman-Valtiera, S., Planetary Methane in Ultramafic Contexts: Searching for Cyclicity in Methane Emissions at a Planetary Analog Site in Northern California, NASA-EPSCoR $735,000 (6/2022-6/2025)

  11. Savage, B., Pradhanang, S. M., Boving, T. Mapping Bedrock and Saltwater Intrusion in Rhode Island, USGS $90,000 (09/2021-08/2022)

  12. Savage, B., Pradhanang, S. M., Boving, T., Mapping Bedrock and Saltwater Intrusion in Rhode Island USGS $117,337 (09/2022-08/2023)

  13. Pradhanang, S., Kumar, R, and Rashid T, Floating Treatment Wetland System (FTWS) - Sustainable green technology to remediate polluted surface water bodies in the COVID 19-era , Asia- Pacific  Network $78,000 (09/2021-08/2023)

  14. Pradhanang, S. M., Boving, T., and Savage, B. The Rhode Island Water Resources Board (RIWRB) and University of Rhode Island (URI) Statewide Water Withdrawal Data Enhancement and Database Development Project. RIWRB-USGS $197,488 (10/20-09/22)

  15. T Franti, A. Sheshukov, J. Lory, R. Cruse. Developing and assessing innovative ephemeral gully erosion control practices. (2021-2023). USDA $344,538

  16. R.L. North, A. Ohler, L. McCann, T. Moore, A. Sheshukov. Valuing Water Quality Improvements in Heartland Reservoirs. (2022-2025) EPA $741,285

  17. Pradhanang, S.M., Liu, P. Water Availability through the Integration of Hydrologic Model and Water Management Optimization Tool for Chipuxet River Watershed, Rhode Island. RIWRC-USGS. (2022-2023) USGS $50,000

  18. USDA-Cooperative Agreement. Fuka, D.R., Z.M. Easton, R.R. White. Developing and evaluating rapidly deployable inexpensive weather, soil moisture, shock, and streamflow sensors to aid the monitoring, inspection, and rehabilitation of aging dams. $225,000. Dec 2021-Nov 2022.

  19. USDA-Cooperative Agreement. Easton, Z.M. Modeling the Lake Champlain Basin CEAP watersheds to understand and predict conservation effects on legacy phosphorus. $134,223. Oct 2021-Sept 2023.

  20. Virginia Tech CALS Strategic Plan Advancement. Easton, Z.M., R.R. White, K. Hamed, D.R. Fuka, M. Eick. Eyes in the Sky and Boots on the Ground: Collaborative Technologies for Monitoring and Managing Livestock Pastures. $60,000. Oct 2021-May 2023.

  21. NSF CPS (Cyber-Physical Systems). White, R.R., E. Feuerbacher, Z.M. Easton. Collaborative Research: CPS: Medium: Greener Pastures: A pasture sanitation cyber physical system for environmental enhancement and animal monitoring. $998,232. Jan 2022-Dec 2024.

  22. Lewis, K., K. Wagner, A. Berthold, P. DeLaune, J. Bell, D. Miller Sustainable. Agricultural Intensification and Enhancement through the Utilization of Regenerative Agricultural Management Practices. Amount: $583,438 (Total Award: $10,000,000). Sponsor: USDA-NIFA Sustainable Ag Systems Program, 9/1/2021-8/31/2026.

  23. Wagner, K. Dam Analysis Modernization of Tools, Applications, Guidance, and Standardization (DAM-TAGS) Project – Year 1. Amount: $478,238. Sponsor: USDA-ARS Cooperative Agreement, 6/10/2021-6/9/2022.

  24. Wagner, K., R. Bonett, A. Sewell, J. Gonzalez Estrella, S. Kim, A. Dzialowski. Oklahoma Water Resources Research Institute Program (USGS Base Funds FY21). Amount: $125,000. Sponsor: USGS, 9/1/2021-8/31/2022.

  25. Mirchi, A, K. Wagner, S. Taghvaeian, Sarah Alian, R. Bailey. Conjunctive Freshwater-Saltwater Management for Climate-Resilient Agroecosystems. Amount: $181,568 (Total Award: $749,786). Sponsor: USDA-NIFA Foundational Program, 12/31/2021-12/12/2025.

  26. Wagner, K., S. Sharma, S. Taghvaeian, S. Frazier, J. Warren, A. Mirchi. Oklahoma Master Irrigator Program and Ogallala Aquifer Study. Amount: $150,000. Sponsor: Oklahoma Conservation Commission, 7/1/2021-6/30/2022.

  27. Reuter, R., K. Wagner, L. Goodman, C. Duchardt, B. Murray. Increasing the pace & scale of adoption of prescribed grazing through virtual fence technology. Amount: $93,188 (Total Award: $1,365,774). Sponsor: USDA-NRCS Conservation Innovation Grant, 7/1/2022-6/30/2025.

11/07/2023

1). Publications:



  1. Larios, K., S. Gerber, R. Muñoz-Carpena, P. Inglett, K.R. Reddy, M. Chimney. 2023. Effects of increasing complexity in biogeochemistry and hydrology on variability of total phosphorus concentration in models of a low flow subtropical wetland. Ecological Engineering xxx (xxxx) 107131. doi:10.1016/j.ecoleng.2023.107131.

  2. Chen. H., D.S. Carley, R. Muñoz-Carpena, G. Ferruzzi, Y. Yuan, A. Blankinship, T.L. Veith, R. Breckels, G. Fox, Y. Luo, D. Osmond, H.E. Preisendanz, Z. Tang, K. Armbrust, K. Costello, L.L. McConnell, P. Rice, J. Westgate, M. Whiteside. 2023. Incorporating the benefits of vegetative filter strips into risk assessment and risk management of pesticides. Integr Environ Assess Manag (IEAM). doi:10.1002/ieam.4824.

  3. Muñoz-Carpena, R., A. Carmona-Cabrero, Z. Yu, G.A. Fox, O. Batelaan. 2023. Convergence of mechanistic modeling and artificial intelligence in hydrologic science and engineering. PLOS Water. doi:10.1371/journal.pwat.0000059

  4. Shin*, S., Y. Her, R. Muñoz-Carpena, X. Yu, C. Martinez and A. Singh. 2023. Climate change impacts on water quantity and quality of a watershed-lake system using a spatially integrated modeling framework in the Kissimmee River-Lake Okeechobee system. J. of Hydrology: Regional Studies 47:101408.  doi:j.ejrh.2023.101408

  5. Shin*, S, Y. Her, R. Muñoz-Carpena and Y. Xiao. 2023. Quantifying the contribution of external loadings and internal hydrodynamic processes to the water quality of Lake Okeechobee. Sci. Total Env. 883:163713 doi:10.1016/j.scitotenv.2023.163713

  6. Shin*, S., Y. Her, R. Muñoz-Carpena, and Y.P. Khare. 2023. Multi-parameter approaches for improved ensemble prediction accuracy in hydrology and water quality modeling. J. Hydrology622(Part A):129458.  doi:10.1016/j.jhydrol.2023.129458

  7. Zhang*, Y., R. Bhattarai and R. Muñoz-Carpena. 2023. Effectiveness of vegetative filter strips for sediment control from steep construction landscapes. Catena 226:10705. doi:10.1016/j.catena.2023.107057

  8. Morgan*, S., R. Huffaker, R. Giménez, M.A. Campo-Bescos, R. Muñoz-Carpena, and G. Govers. 2023. Experimental evidence that rill-bed morphology is governed by emergent nonlinear spatial dynamics. Scientific Reports-Nature 12:21500. doi:10.1038/s41598-022-26114-0.

  9. Reichenberger S., R. Sur, S. Sittig, S. Multsch, Á. Carmona-Cabrero, J.J. López and R. Muñoz-Carpena. 2023. Dynamic prediction of effective runoff sediment particle size for improved assessment of erosion mitigation efficiency with vegetative filter strips. Sci. Total Env. 857(3):159572. doi:10.1016/j.scitotenv.2022.159572

  10. Oh*, W.S., A. Carmona-Cabrero, R. Muñoz-Carpena, R. Muneepeerakul. 2022. On the interplay among multiple factors: effects of factor configuration in a proof-of-concept migration agent-based model. Journal of Artificial Societies and Social Simulation (JASSS) 25(2):7. doi:10.18564/jasss.4793.

  11. Kim, J., Y. Her, R, Bhattarai, and H. Jeong (2023), Improving nitrate load simulation of the SWAT model in an extensively tile-drained watershed, Science of the Total Environment, 904, p166331, https://doi.org/10.1016/j.scitotenv.2023.166331

  12. Dubey, S. K., J. Kim, Y. Her, D. Sharma, and H. Jeong (2023), Hydroclimatic Impact Assessment using the SWAT Model in India - State of the Art Review, Sustainability, 15(22), 15779. https://doi.org/10.3390/su152215779 

  13. Dubey, S. K., J. Kim, S. Hwang, Y. Her, and H. Jeong (2023), Variability of precipitation and temperature extreme events in coastal and inland areas of South Korea during 1961-2020, Sustainability, 15(16), 12537. https://doi.org/10.3390/su151612537

  14. Shin, S.*, Y. Her, and Y. Khare, Evaluation of impacts of climate change on natural and managed wetland basins (2023), Journal of the American Water Resources Association, Published Online. https://doi.org/10.1111/1752-1688.13140

  15. Glick, R., J. Jeong, R. Srinivasan, J. G. Arnold, and Y. Her (2023), Adaptation of SWAT watershed model for stormwater management in urban catchments, Water, 15(9), 1770. https://doi.org/10.3390/w15091770

  16. Rose, P.K., V. Poonia, R. Kumar, N. Kataria, P. Sharma, J. Lamba, and P. Bhattacharya. 2023. Congo red dye removal using modified banana leaves: Adsorption equilibrium, kinetics, and reusability analysis. Groundwater for Sustainable Development: 101005. doi:https://doi.org/10.1016/j.gsd.2023.101005.

  17. Kaur, P*., J. Lamba, T.R. Way, V. Sandhu, K. Balkcom, A. Sanz-Saez, and Dexter Watts. 2023 Cover crop effects on X-ray computed tomography derived soil pore characteristics. Journal of Soils and Sediments. https://doi.org/10.1007/s11368-023-03596-7

  18. Kumar, H*., P. Srivastava, J. Lamba,, B. Lena, E. Diamantopoulos, B. Ortiz, G. Morata, B. Takhellambam*, and L Bondesan. 2023. A methodology to optimize site-specific field capacity and

  19. irrigation thresholds. Agricultural Water Management, 286, 108385. https://doi.org/10.1016/j.agwat.2023.108385

  20. Malhotra, K*., Zheng, J., A. Abebe, and J. Lamba. 2023. Application of Sediment Fingerprinting to Apportion Sediment Sources: Using Machine Learning Models. Journal of the ASABE. doi: 10.13031/ja.14906

  21. Singh, R., R. Prasad, K. Balkcom, K., J. Lamba., and D. B Watts. 2023. Broiler Litter Application Rate and Time Impacts on Corn Ear Mineral Composition. Agranomy Scicne, 00, 00– 00. https://doi.org/10.1002/agj2.21292

  22. Takhellambam, B.S*., P. Srivastava, J. Lamba, R.P. McGehee, H. Kumar* and D. Tian. 2023. Projected mid-century rainfall erosivity under climate change over the southeastern United States. Science of The Total Environment 865: 161119. doi:https://doi.org/10.1016/j.scitotenv.2022.161119.

  23. Anandhi, A., P. Srivastava, R.H. Mohtar, R.G. Lawford, S. Sen and J. Lamba. 2023. Methodologies and principles for developing nexus definitions and conceptualizations: Lessons from FEW nexus studies. Journal of the ASABE 0: 0. doi:https://doi.org/10.13031/ja.14539.

  24. Kumar, H*., P. Srivastava, J. Lamba, B.V. Ortiz, T.R. Way, L. Sangha*, B. Takhellambam*, G. Morata, and R. Molinari. 2022. Within-field variability in nutrients for site-specific agricultural management in irrigated cornfield. Journal of the ASABE. 65(4):865-880. https://doi.org/10.13031/ja.15042.

  25. Kumar, H*., P. Srivastava, J. Lamba, E. Diamantopoulos, B. Ortiz, G. Morata. B. Takhellambam, and L Bondesan. 2022. Site-Specific Irrigation Scheduling Using One-Layer Soil Hydraulic Properties and Inverse Modeling. Agricultural Water Management. 273: 107877. doi:https://doi.org/10.1016/j.agwat.2022.107877.

  26. Takhellambam, B.S*., P. Srivastava, J. Lamba, R.P. McGehee, H. Kumar* and D. Tian. 2022. Temporal disaggregation of hourly precipitation under changing climate over the Southeast United States. Scientific Data 9: 211. doi:10.1038/s41597-022-01304-7.

  27. Huang, Y.K., R. Karki*, L, Kalin, P. Dwivedi (2023), “Potential Impacts of Land Use Change on Streamflow and Groundwater Resources Under Changing Climate in the Flint River Basin, Georgia, United States”, Environmental Research Communications, 5(9):095010.

  28. Dai, Q., J. Zhu, G. Lv, L. Kalin, Y. Yao, S. Zhang, J. Zhang, Z. Wang, D. Han (2023), “Radar remote sensing reveals potential underestimation of rainfall erosivity at the global scale”, Science Advances. 9.32 (2023): eadg5551.

  29. Isik*, S., H. Haas*, L. Kalin, M.M. Hantush, C. Nietch (2023), “Nutrient Removal Potential of Headwater Wetlands in Coastal Plains of Alabama, USA”, Water, 15, 2687. https://doi.org/10.3390/w15152687.

  30. Jiang, M., H. Peng, S. Liang, S. Wanga, L. Kalin, E. Baltaci*, Y. Liu (2023), “Impact of extreme rainfall on non-point source nitrogen loss in coastal basins of Laizhou Bay, China”, Science of the Total Environment. http://dx.doi.org/10.1016/j.scitotenv.2023.163427.

  31. Bawa, R., N. Hoghooghi, L. Kalin, P. Dwivedi, Y. Huang (2023), “Designing Watersheds for Integrated Development (DWID): Combining hydrological and economic modeling for optimizing land use change to meet water quality regulations”, Water Resources and Economics. 41, 100209. https://doi.org/10.1016/j.wre.2022.100209.

  32. He, J., M. Hantush, L. Kalin, S. Isik* (2022), “A Two-Layer Numerical Model of Soil Moisture Dynamics: Model Assessment and Bayesian Uncertainty Estimation”, Journal of Hydrology. 613, 128327.

  33. Lombardozzi, D. L., Wieder, W. R., Sobhani, N., Bonan, G. B., Durden, D., Lenz, D., SanClements, M., Weintraub-Leff, S., Ayres, E., Florian, C. R., Dahlin, K., Kumar, S., Swann, A. L. S., Zarakas, C., Vardeman, C., and Pascucci, V. (2023, expected): Overcoming barriers to enable convergence research by integrating ecological and climate sciences: The NCAR-NEON system Version 1, Geoscientific Model Development, EGUsphere  https://doi.org/10.5194/egusphere-2023-271, 2023.

  34. Lee R, Boll J and Kumar S. (2023) Editorial: Limits and permanence of modern interventions in the water cycle. Front. Water 5:1179819. doi: 10.3389/frwa.2023.1179819.

  35. Kumar, S., Dewes, C. F., Newman, M., & Duan*, Y. (2023). Robust changes in North America's hydroclimate variability and predictability. Earth's Future, 11(4), e2022EF003239.

  36. Duan, Y., Akula, S., Kumar, S., Lee, W., & Khajehei, S. (2023). A Hybrid Physics-AI Model to Improve Hydrological Forecasts. Artificial Intelligence for the Earth Systems, 2(1), e220023.

  37. Pan, Z., Kumar, S., Zhang, Y., & Shi, C. Central continental boreal summer "warming holes" modulated by Atlantic Multi-decadal Oscillation via low level jets. Journal of Geophysical Research: Atmospheres, e2021JD035217.

  38. Phillippe, Austin J., Kevin L. Wagner, Rodney E. Will, Chris B. Zou. Accepted. Escherichia coli efflux from rangeland ecosystems in the southcentral Great Plains, USA. Journal of Environmental Quality.

  39. Wagner, K.L.; Gregory, L.; Gerlich, J.A.; Rhodes, E.C.; deVilleneuve, S. 2023. Edge-of-Field Runoff Analysis following Grazing and Silvicultural Best Management Practices in Northeast Texas. Water 2023, 15, 3537. https://doi.org/10.3390/w15203537

  40. Yang, J., C. Zou, R. Will, K. Wagner, Y. Ouyang, C. King, H. Tian. 2023. River flow decline across the entire Arkansas River Basin in the 21st Century. Journal of Hydrology: Regional Studies 618 (2023) 129253. https://doi.org/10.1016/j.jhydrol.2023.129253

  41. Schipanski, M.E., M. Sanderson, L. Estelí Méndez Barrientos, A. Kremen, P. Gowda, D. Porter, K. Wagner, C. West, C. Rice, M. Marsalis, B. Guerrero, E. Haacker, J. Dobrowolski, C. Ray, B. Auvermann. 2023. Shared groundwater resources: Moving from measurement to governance. Nature Water 1, pages 30–36 (2023). https://doi.org/10.1038/s44221-022-00008-x.

  42. Mirchi, A., M. Samimi, D. Moriasi, Z. Sheng, D. Gutzler, S. Taghvaeian, S. Alian, K. Wagner, W. Hargrove. 2023. Adapting irrigated agriculture in the Middle Rio Grande to a warm-dry future. Journal of Hydrology: Regional Studies 45 (2023) 101307. https://doi.org/10.1016/j.ejrh.2022.101307.

  43. Qiao, L., R. Will, K. Wagner, T. Zhang, C. Zou. 2022. Using SWAT to improve evapotranspiration estimates for grasslands of the Southern Great Plains. Journal of Hydrology: Regional Studies 44 (2022) 101275. https://doi.org/10.1016/j.ejrh.2022.101275.

  44. Mansaray, A.S., P. Kayastha, A.R. Dzialowski, S.H. Stoodley, K.L. Wagner. 2022. Effect of Time Window on Satellite and Ground-Based Data for Estimating Chlorophyll-a in Reservoirs. Remote Sensing 2022, 14, 846. https://doi.org/10.3390/rs14040846.

  45. Conoscenti, C., Sheshukov, A. Y. (2023). Regional variability of terrain index and machine learning model applications for prediction of ephemeral gullies. Geomorphology, 442, 108915. https://doi.org/10.1016/j.geomorph.2023.108915 

  46. G. Granco, M. Caldas, J. Bergtold, J.L. Heier Stamm, M. Mather, M. Sanderson, M. Daniels, A.Y. Sheshukov, D. Haukos, S. Ramsey. (2022) Local Environment and Individuals’ Beliefs: The Dynamics Shaping Public Support for Sustainability Policy in an Agricultural Landscape. Journal of Environmental Management. 301, 113776. (https://doi.org/10.1016/j.jenvman.2021.113776)

  47. Zhang, Z., H. Montas, A. Shirmohammadi, P.T. Leisnham, and A. Rockler. 2023. Modeling Spatio-Temporal Dynamics of BMPs Adoption for Stormwater Management in Urban Areas. Water (2023) 15, 2549. https://doi.org/10.3390/w15142549

  48. Zhang, Z., H. Montas, A. Shirmohammadi, P.T. Leisnham, and M. Negahban-Azar. 2023. Effectiveness of BMP plans in different land covers, with random, targeted, and optimized allocation. Science of The Total Environment, Volume 892, 20 September 2023, 164428.

  49. Shoushtarian, F., Negahban-Azar, M., and Crooks, A. Investigating the Microscale Dynamics of Water Reuse Adoption by Farmers, and the Impacts on Local Water Resources Using an Agent Based Model. (2022). Socio-Environmental Systems Modeling. 4, 18148. https://doi.org/10.18174/sesmo.18148

  50. Levia D, S Bischoff, M-C Gruselle, K Näthe, DR Legates, AN Lutgen, EW Boyer, and B Michalzik (2023). Geometric configurations of particulate matter in terrestrial solutions of a temperate beech forest. Journal of Aerosol Science. DOI: 10.1016/j.jaerosci.2023.106196

  51. Boyer EW, JW Wagenbrenner, and Lu Zhang (2022). Wildfire and Hydrological Processes. Hydrological Processes, 36(7), e14640, DOI: 10.1002/hyp.14640

  52. Boyer EW, MA Moritz, and MG Brown (2022). Smoke deposition to water surfaces drives hydrochemical changes. Hydrological Processes, 36(6), e14626, DOI: 10.1002/hyp.14626 (plus supporting dataset at HydroShare public data repository, DOI: 10.4211/hs.33c36d2fc1c94d96ba9e40f0460f665e)

  53. Sena, M. et al. Seasonal variation and drivers of elevated riparian groundwater ammonium concentrations upstream of milldams. Journal of Geophysical Research Biogeosciences (In Preparation – to be submitted Oct 2023).

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