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Puneet Srivastava

Prof & Associate Dean for Research and Associate Director of MAES

Associate Director

Agricultural Experiment Station 1201 Symons Hall Street 7998 Regents Drive College Park, MD 20742-3131

Dr. Puneet Srivastava is the Associate Dean for Research and Associate Director of Maryland Agricultural Experiment Station in the College of Agriculture and Natural Resources. As Associate Dean for Research and Associate Director of MAES, Srivastava provides leadership to the agricultural and natural resources research programs in the College, coordinates interdepartmental and interdisciplinary projects, and integrates research policies, priorities, and programs with those of the Dean of the College of Agriculture and Natural Resources, Associate Dean of Academic Programs, and Associate Dean of the University of Maryland Extension. He also coordinates on- and off-campus faculty research activities, identifies potential funding sources, stimulates submission of grant applications for extramural funding, and identifies strategic research priorities for the College.

Srivastava came to the University of Maryland from Auburn University where he was the Director of the university-wide Water Resources Center, Butler-Cunningham Eminent Scholar in Agriculture and the Environment in the College of Agriculture, and a Professor in the Biosystems Engineering Department. Srivastava is a Fellow of the American Society of Agricultural and Biological Engineers and a Fellow of the Alabama Academy of Science.

Research

Current & Recent Projects

Puneet at farm

Dr. Srivastava has provided his expertise and leadership in numerous research projects and initiatives.

Current and recent projects include:

Coupling SWAT and WetQual for Improved N, P, and C Processing in Wetland Dominated Agricultural Watersheds (L. Kalin, P. Srivastava, H. Yen, and J. Arnold), USDA-AFRI, 2020-2023, $499,947

NRT: Addressing Resiliency to Climate Related Hazards and Disasters through Data In-formed Decision Making              (K. McNeal, C. Burton, P. Srivastava, S. Pan, and D. Tian), NSF, 2019 – 2024, $2,998,770

Elucidating Colloidal-Facilitated Phosphorus Migration in Soils Through X-ray Computed Tomography and Hydrus Modeling (J. Lamba, P. Srivastava, K. Kartikeyan, and J. Simunek), USDA-AFRI, 2018 – 2021, $415,000

Agricultural Water Security through Sustainable Use of the Floridan Aquifer: An Integrated Assessment of Economic and Environmental Impacts (W. Graham, P. Srivastava. G. Vellidis, and others), USDA-NIFA (Water for Agriculture Challenge Area CAP grant), 2017-2022, $5,000,000

Students

Past Graduate Students and Scholars

POSTDOCTORAL RESEARCHERS AND VISITING SCHOLARS HOSTED

  1. Dr. Sandra Guzman, Postdoctoral Fellow, 2017 – 2018 (Assistant Professor at University of Florida – Ft. Pierce)
  2. Dr. Subhasis Mitra, Postdoctoral Fellow, 2015 – 2017 (Assistant Professor at Indian Institute of Technology – Palakkad, India)
  3. Dr. Sarmistha Singh, Postdoctoral Fellow, 2015 – 2016 (Assistant Professor at Indian Institute of Technology – Palakkad, India)
  4. Dr. Xiaole Han, Visiting Scholar from China, November 2016 – October 2017 (Completed Ph.D. degree at Hohai University, Nanjing, China)
  5. Dr. Golbahar Mirhosseini, Postdoctoral Fellow, 2013 – 2016 (Environmental Engineer at Federal Energy Regulatory Commission, Washington, DC)
  6. Dr. Moon Seong Kang, Visiting Scholar from South Korea, 2014 – 2015 (Professor at Seoul National University, Seoul, South Korea)
  7. Dr. Sumit Sen, Postdoctoral Fellow, 2009 – 2011 (Professor and Department Chair at Indian Institute of Technology – Roorkee, India).
  8. Dr. Moon Seong Kang, Postdoctoral Fellow, 2005-2008 (Professor at Seoul National University, Seoul, South Korea)
  9. Dr. Young-Joo Kim, Visiting Scholar from Korea (jointly hosted with Kyung Yoo), 2012 – 2014 (Current position unknown)
  10. Pratap Mondal, Visiting Scholar from Indian Institute of Technology, Kharagpur, India, 2008 – 2009 (Current position unknown)
  11. Dr. Phil-Shik Kim, Visiting Scholar from Korea (jointly hosted with Kyung Yoo), 2006 – 2008 (Current position unknown)

THESES AND DISSERTATIONS DIRECTED AS MAJOR PROFESSOR

  1. Bijoychandra Singh Takhellambam. Ph.D. Biosystems Engineering. Graduation Summer 2023. Postdoctoral Scholar, Purdue University, West Lafayette, IN.
  2. Hemendra Kumar. Ph.D. Biosystems Engineering. Graduation Summer 2022. Extension Faculty (Tenure-track), University of Maryland Extension, College of Agriculture and Natural Resources, University of Maryland, College Park, MD.
  3. Ritesh Karki. Ph.D. Biosystems Engineering. Graduation Fall 2020. Senior Faculty Specialist, College of Agriculture and Natural Resources, University of Maryland, College Park, MD
  4. Sarmistha Singh. Ph.D. Biosystems Engineering. Graduation Summer 2015. Assistant Professor, Indian Institute of Technology-Palakkad
  5. Subhasis Mitra. Ph.D. Biosystems Engineering. Graduation Fall 2014. Assistant Professor, Indian Institute of Technology-Palakkad
  6. Golbahar Mirhosseini. Ph.D. Civil Engineering. Graduation Summer 2013. Environmental Engineer at Federal Energy Regulatory Commission, Washington, DC.
  7. Suresh Sharma. Ph.D. Civil Engineering. 2012. Associate Professor, Civil Engineering Department, Youngstown State University, Youngstown, PA.
  8. Vaishali Sharda. Ph.D. Biosystems Engineering. 2012. Assistant Professor, Department of Agricultural and Biological Engineering, Kansas State University, Manhattan, KS
  9. Sumit Sen. Ph.D. Civil Engineering. 2009. Professor and Department Chair, Indian Institute of Technology, Roorkee, India
  10. Suman Budhathoki. (Co-chair) M.S. Biosystems Engineering. Graduation Summer 2021. Ph.D. Student, Virginia Tech
  11. Henrique Haas. (Co-chair) M.S. Forestry. Graduation Summer 2020. Postdoctoral Research Scholar, Columbia Climate School
  12. Danielle Tadych. (Co-chair) M.S. Crop, Soil, and Environmental Sci. Graduation Spring 2020. Ph.D. Student, University of Arizona
  13. Casey Nowell. (Co-chair). M.S. Crop, Soil, and Environmental Sci. Graduation Summer 2019. Scientist at Volkert, Inc., Birmingham, AL
  14. Sarah Richard. (Co-chair). M.S. Biosystems Engineering. Graduation Summer 2017. Engineer Officer, United States Army
  15. Ryan McGhee. M.S. Biosystems Engineering. 2016. Assistant Professor, Department of Agricultural and Biological Engineering, Iowa State University, Ames, IA
  16. Brittney Lindley. M.S. Biosystems Engineering (non-thesis). Graduation Spring 2015. Project Manager, NY Department of Transportation, Albany, NY
  17. Nischal Mishra. M.S. Biosystems Engineering. 2015. Senior Project Manager at Xylem, Washington, DC
  18. Jasmeet Lamba. M.S. Civil Engineering. 2009. Associate Professor, Department of Biosystems Engineering, Auburn University, Auburn, AL
  19. Anand Gupta. M.S. Civil Engineering. 2009. Drainage Engineer at WSP USA.
  20. Pratap Mondal. M.S. Water Resources Engineering. 2009. Government of IndiaPratap worked on his M.S. thesis under my supervision but received his degree from the Indian Institute of Technology, Kharagpur, India.
  21. Sarah Sanders Markham. M.S. Civil Engineering. 2007. Senior EngineerSouthern Company, Alabama
  22. Gary Brooks Butler. M.S. Civil Engineering. 2007. Director-Commercial Operations, Koch Industries.

 

Publications and CV

Publications

PATENTS AND INVENTIONS

  1. Sharma*, S., S. Isik, P. Srivastava, and L. Kalin. 2011. Deriving Spatially-Distributed Precipitation Data Using the Artificial Neural Network and Multi-Linear Regression Models. U.S. Provisional Patent Application No. 61/550,075.
  2. Srivastava, P. 2009. Method for the Optimal Management and Utilization of Industrial by-products. U.S. Provisional Patent Application No. 61/333,946 (2010) and 61/215,510 (2009).

BOOK CHAPTERS

  1. Kumar*, H., B.V. Ortiz, P. Srivastava, and J. Lamba. 2024. Assessing nutrient variability in irrigated agricultural fields using unsupervised learning and mixed models. Advances in agri-tech approaches for nutrients and irrigation water management. Taylor and Francis Group (accepted). ISBN 9781032450230
  2. McGehee*, R., Flanagan, D. C., Srivastava, P., and Nearing, M. A. (2021). Chapter 16 - Rainfall erosivity: Essential historical, conceptual, and practical perspectives for continued application. In J. Rodrigo-Comino (Ed.), Precipitation (pp. 373–394). Elsevier. https://doi.org/10.1016/B978-0-12-822699-5.00014-8.
  3. Mirhosseini*, G. and P. Srivastava. 2013. How Climate Change Could Affect Alabama's Rainfall - And Why It Matters. Auburn Speaks 2013: On Water.
  4. Sharma*, S., P. Srivastava, and L. Kalin. 2013. Using Seasonal to Inter-Annual Climate Variability for Point Source Discharge Permitting in a Complex River System. Auburn Speaks 2013: On Water.
  5. Sharda*, V. and P. Srivastava. 2013. Forecasting: Climate Variability and Drought in the Southeast. Auburn Speaks 2013: On Water.
  6. Noori*, N., L. Kalin, C. Lebleu, and P. Srivastava. 2013. The Role of Human Activities on Flooding: Does It Matter Where We Develop? Auburn Speaks 2013: On Water.
  7. Niraula*, R., L. Kalin, P. Srivastava, and C. Anderson. 2013. Finding the Source of Sediments and Nutrients in the Saugahatchee Creek Watershed. Auburn Speaks 2013: On Water.
  8. Srivastava, P. and L. Kalin. 2009. Geographic Information System-Based Watershed Modeling Systems. Biosystems Engineering (Edited by A. Nag). McGraw Hill Publishers.
  9. Kalin, L. and P. Srivastava. 2009. Soil and Water Conservation. Biosystems Engineering (Edited by A. Nag). McGraw Hill Publishers.

PEER-REVIEWED JOURNAL ARTICLES

  1. Malhotra, K., J. Lamba, T. Way, C. Williams, K. Karthikeyan, S. Budhathoki, R. Prasad, P. Srivastava, J. Zheng. 2024. Preferential flow of phosphorus and nitrogen under steady-state saturated conditions. Vadose Zone Journal, https://doi.org/10.1002/vzj2.20331.
  2. Takhellambam*, B.S., P. Srivastava, J. Lamba, D. Tian, and R. Molinari. 2024. Artificial Neural Network-Empowered Projected Future Rainfall Intensity-Duration-Frequency Curves under Changing Climate. Atmospheric Research https://doi.org/10.1016/j.atmosres.2023.107122.
  3. Kumar*, HB. Ortiz, P. Srivastava, and J. Lamba. 2024. Assessing Nutrient Variability Across Irrigation Management Zones Using Unsupervised Learning and Mixed Models. In Agri-Tech Approaches for Nutrients and Irrigation Water Management. CRC Press. https://doi.org/10.1201/9781003441175.
  4. Karki*, R., P. Srivastava, and L. Kalin. 2023. Evaluating climate change impacts in a heavily irrigated karst watershed using a coupled surface and groundwater model. Journal of Hydrology: Regional Studies, 50(2023) 101565. https://doi.org/10.1016/j.ejrh.2023.101565.
  5. Kumar*, H., P. Srivastava, J. Lamba, B. Lena, E. Diamantopoulos, B. Ortiz, B. Takhellambam, G. Morata, and L. Bondesan. 2023. A methodology to optimize site-specific field capacity and irrigation thresholds. Journal of Agricultural Water Management, 286, 108385 (2023). https://doi.org/10.1016/j.agwat.2023.108385.
  6. 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, Volume 865, 20 March 2023, 161119. https://doi.org/10.1016/j.scitotenv.2022.161119.
  7. Anandhi, A. P. Srivastava, R. 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. https://doi.org/10.13031/ja.14539.
  8. Tian, D., X., He, P. Srivastava, L. Kalin. 2022. A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information. Stoch Environ Res Risk Assess, 36(8): 2353-2375. https://doi.org/10.1007/s00477-021-02023-y.
  9. Kumar*, H., P. Srivastava, J. Lamba, E. Diamantopoulos, B. Ortiz, G. Morata, B.S. Takhellambam, L. Bondesan. 2022. Site-Specific Irrigation Scheduling Using One-Layer Soil Hydraulic Properties and Inverse Modeling. Agricultural Water Management Volume 273, 1 November 2022, 107877. https://doi.org/10.1016/j.agwat.2022.107877.
  10. Kumar*, H., P. Srivastava, J. Lamba, B.V. Ortiz, T.R. Way, L. Sangha, B.S. Takhellambam, G. Morata, R. Molinari. 2022. Within-field variability in nutrients for site-specific agricultural management in irrigated cornfield. Journal of the ASABE 65 (4), 865-880.
  11. 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 (1), 1-14.
  12. Haas*, H., L. Kalin, and 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.
  13. Budhathoki*, S., J. Lamba, P. Srivastava, K. Malhotra, T. Way, and S. Katuwal. 2022. Temporal and Spatial Variability in 3D Soil Macropore Characteristics Determined Using X-ray Computed Tomography. Journal of Soils and Sediments, 22(4): 1263-1277.
  14. Budhathoki*, S., J. Lamba, P. Srivastava, C. Williams, F. Arriaga, and K.G. Karthikeyan. 2022. Impact of land use and tillage practice on soil macropore characteristics inferred from X-ray computed tomography. Catena. Volume 210, March 2022, 105886. https://doi.org/10.1016/j.catena.2021.105886.
  15. Haas*, H., N. Reaver, R. Karki, L. Kalin, P. Srivastava, D.A. Kaplan, C.A. Gonzalez-Benecke. 2022. Improving the representation of forests in hydrological models. Science of the Total Environment. Volume 812, 15 March 2022, 151425. https://doi.org/10.1016/j.scitotenv.2021.151425.
  16. Budhathoki*, S., J. Lamba, P. Srivastava, K. Melhotra, T. Way, and S. Katuwal. 2022. Using X-ray Computed Tomography to Quantify Variability in Soil Macropore Characteristics in Pastures. Soil and Tillage Research 215:105194. https://doi.org/10.1016/j.still.2021.105194.
  17. McGehee, R., D.C. Flanagan, P. Srivastava, B.A. Engel, C.-H. Huang, and M.A. Nearing. 2022. An updated isoerodent map of the conterminous United States. International Soil and Water Conservation Research, 10(1): 1-16. https://doi.org/10.1016/j.iswcr.2021.06.004.
  18. Han*, X., J. Liu, P. Srivastava, H. Liu, X. Li, X. Shen, and H. Tan. 2021. The dominant control of relief on soil water content distribution during wet-dry transitions in headwaters. Water Resources Research. https://doi.org/10.1029/2021WR029587.
  19. Singh*, S., A. Abebe, P. Srivastava, and I. Chaubey. 2021. Effect of ENSO Modulation by Decadal and Multi-decadal Climatic Oscillations on contiguous United States Streamflows. Journal of Hydrology: Regional Studies, 31 (August 2021) https://doi.org/10.1016/j.ejrh.2021.100876.
  20. Paul, M., M. Negahban-Azar, A. Rajib, A. Shirmohammadi, and P. Srivastava. 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.
  21. Kumar*, H., P. Srivastava, B. 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.
  22. Dale, G., Dotro, G., Srivastava, P., Austin, D., Hutchinson, S., Head, P., Goonetilleke, A., Stefanakis, A., Junge, R., Fernández J., Weyer, V., Truter, W., Bühler, D., Bennett, J., Liu, H., Li, Z., Du, J., Schneider, P., Hack, J., Schönborn, A. 2021. Education in Ecological Engineering – A need whose time has come. Circ. Econ. Sust. 1, 333-373. https://doi.org/10.1007/s43615-021-00067-4.
  23. Karki*, Ritesh, 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 34, 100802. https://doi.org/10.1016/j.ejrh.2021.100802. (In Press)
  24. Mitra*, S., and P. Srivastava. 2021. A comprehensive drought assessment tool for coastal areas, bays, and estuaries: Development of a coastal drought index. Journal of Hydrologic Engineering 26 (1), 04020055. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001968.
  25. Musie, M., S. Sen, and P. Srivastava. 2020. Application of CORDEX-AFRICA and NEX-GDDP datasets for hydrologic projections under climate change in Lake Ziway sub-basin, Ethiopia. Journal of Hydrology: Regional Studies. https://doi.org/10.1016/j.ejrh.2020.100721.
  26. McGehee*, R., Flanagan, D., and P. Srivastava. 2020. WEPPCLIFF: A command-line tool to process climate inputs for soil loss models. Journal of Open Source Software, 5(49), 2029, https://doi.org/10.21105/joss.02029.
  27. Han*, X., J. Liu, P. Srivastava, S. Mitra, and R. He. 2020. Effects of critical zone structure on patterns of flow connectivity induced by rainstorms in a steep forested catchment. Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2020.125032.
  28. Karki*, R., P. Srivastava, D.D. Bosch, L. Kalin, J. Lamba, and T.C. 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.
  29. Karki*, R., P. Srivastava, and T. Veith. 2020. Application of the Soil and Water Assessment Tool (SWAT) at the Field-Scale: Categorizing Methods and Review of Applications. Transactions of the ASABE 63 (2): 513-522.
  30. Sangha, L., J. Lamba, H. Kumar, P. Srivastava, M. Dougherty, and R. Prasad. 2020. An innovative approach to rainwater harvesting for irrigation based on ENSO forecasts. Journal of Soil and Water Conservation 75(5): 565-578 doi:10.2489/jswc.2020.00085.
  31. Anandhi, A., K. Douglas-Mankin, P. Srivastava, R. Aiken, G. Senay, R. L. Leungand I. Chaubey. 2020. DPSIR-ESA Vulnerability Assessment (DEVA) Framework: Synthesis, Foundational Overview, and Expert Case Studies. Transactions of the ASABE, 63(3): 741-752.
  32. Arora, P., J. Lamba, P. Srivastava, and L. Kalin. 2019. Modeling Effectiveness of Broiler Litter Application Method for Reducing Phosphorus and Nitrogen Losses. Hydrology Research, 50 (4): 1047-1061.
  33. Mussie, M. S. Sen, and P. Srivastava. 2019. Comparison and Evaluation of Gridded Precipitation Datasets for Streamflow Simulation in Data Scarce Watersheds of Ethiopia. Journal of Hydrology https://doi.org/10.1016/j.jhydrol.2019.124168.
  34. Lamba, J., P. Srivastava, T.R. Way, and K. Malhotra. 2019. Effect of Broiler Litter Application Method on Metal Runoff from Pastures. Journal of Environmental Quality, 48 (6): 1856-1862.
  35. Mitra*, S., S. Singh*, and P. Srivastava. 2019. Sensitivity of Groundwater Components to Irrigation Withdrawals during Droughts on Agricultural Intensive Karst Aquifer in the Apalachicola-Chattahoochee Flint River Basin. Journal of Hydrologic Engineering, 24 (3), 05018032.
  36. Malhotra, K., J. Lamba, P. Srivastava, and S. Shepherd. 2018. Fingerprinting Suspended Sediment Sources in an Urbanized Watershed. Water, 10, 1573; doi:10.3390/w10111573.
  37. Singh*, S., A. Abebe, and P. Srivastava. 2018. Evaluation of Nonparametric and Parametric Statistical Procedures for Modeling and Prediction of Cluster-Correlated Hydroclimatic Data. Water Resources Research, 54(9): 6948-6964.
  38. Mitra*, S., P. Srivastava, and J. Lamba. 2018. Probabilistic Assessment of Projected Climatological Drought Characteristics over the Southeast USA. Climatic Change, 147(3-4): 601-615.
  39. Medina, H., D. Tian, P. Srivastava, A. Pelosi, and G. Chirico. 2018. Medium-range reference evapotranspiration forecasts for the contiguous United States based on multi-model numerical weather predictions. Journal of Hydrology, 562: 502-517.
  40. McGehee*, R. and P. Srivastava. 2018. Benchmarking reliable erosion indices from quarter-hour station data for climate studies in the southeastern United States. Journal of Soil and Water Conservation 73(4): 363-376.
  41. Han*, X., J. Liu, S. Mitra*, X. Li, P. Srivastava, S. Guzman*, and X. Chen. 2018. Selection of Optimal Scales for Soil Depth Prediction on Headwater Hillslopes: A Modeling Approach. CATENA, 163: 257-275.
  42. Duhan, D., A. Pandey, and P. Srivastava. 2018. Rainfall variability and its association with El Niño Southern Oscillation in Tons River Basin, India. Meteorology and Atmospheric Physics, 130 (4), 405-425.
  43. Lamba, J., P. Srivastava, S. Mitra*, and T. Way. 2018. Using soil phosphorus measurements to assess the effectiveness of subsurface-band application of broiler litter in reducing phosphorus leaching. Transactions of the ASABE 61(1): 133-138.
  44. Mitra*, S. and P. Srivastava. 2017. Spatial and temporal variability of droughts in the Southeast United States. Natural Hazards, 86(3): 1007-1038.
  45. Mishra*, N., P. Srivastava, and S. Singh. 2017. What do climate change projections say about future droughts in Alabama and Georgia? Transactions of the ASABE 60(4): 1139-1151.
  46. Singh*, S., P. Srivastava, S. Mitra*, and A. Abebe. 2017. Evaluation of Water-Use Policies for Baseflow Recovery during Droughts in an Agricultural Intensive Karst Watershed: Case study of the Lower Apalachicola-Chattahoochee-Flint River Basin, Southeastern USA. Hydrological Processes, 31(21): 3628-3644.
  47. Singh*, S., P. Srivastava, A. Abebe, and S. Mitra*. 2016. Climate Variability and Irrigation Impacts on Streamflows in a Karst Watershed- A Systematic Evaluation. J. of Hydrology: Regional Studies J. of Hydrology: Regional Studies, 8: 274-286.
  48. Sharma*, S., P. Srivastava, X. Fang, and L. Kalin. 2016. Hydrologic Simulation Approach for El Niño Southern Oscillation (ENSO)-Affected Watershed with Limited Rain Gauge Stations. Hydrological Sciences Journal, 61(6): 991-1000.
  49. Sharda*, V. and P. Srivastava. 2016. Value of ENSO-forecasted drought information for the management of small to mid-size communities. Transactions of the ASABE, 59(6): 1733-1744.
  50. Chaubey, I., D.D. Bosch, R. Munoz-Carpena, R. Daren Harmel, K. Douglas-Mankin, A.P. Nejadhashemi, P. Srivastava, and A. Shirmohammadi. 2016. Climate change: A call for adaptation and mitigation strategies. Transactions of the ASABE, 59(6): 1709-1713.
  51. Mirhosseini*, G. and P. Srivastava. 2016. Effect of Irrigation and Climate Variability on Water Quality of Coastal Watersheds - A Case Study in Alabama. J. Irrig. Drain Eng., 2016, 142(2): 05015010.
  52. Kang, M.S., P. Srivastava, J.H. Song, J. Park, Y. Her, S.M. Kim, and I. Song. 2016. Development of a component-based modeling framework for agricultural water-resource management. Water 2016, 8(8), 351; doi:10.3390/w8080351.
  53. Mitra*, S., P. Srivastava, and S. Singh*. 2016. Effect of irrigation pumpage during drought on karst aquifer systems in highly agricultural watersheds: example of the Apalachicola-Chattahoochee-Flint river basin, southeastern USA. Hydrogeology Journal, 24(6): 1565-1582.
  54. Noori, N., L. Kalin, S. Sen*, P. Srivastava, C. Lebleu. 2016. Identifying Areas Sensitive to Land Use/Land Cover Change for Downstream Flooding in a Coastal Alabama Watershed. Regional Environmental Change, 2016, DOI 10.1007/s10113-016-0931-5.
  55. Elias, E., H. Rodriguez, P. Srivastava, M. Dougherty, D. James, and R. Smith. 2016. Impacts of Forest to Urban Land Conversion and ENSO Phase on Water Quality of a Public Water Supply Reservoir. Forests 2016, 7, 29; doi:10.3390/f7020029.
  56. Sharma*, S. and P. Srivastava. 2016. Teleconnection of Instream Total Organic Carbon Loads with El Niño Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), and Pacific Decadal Oscillation (PDO). Transactions of the ASABE. 59(1): 81-95. (doi: 10.13031/trans.59.10980).
  57. Singh*, S., P. Srivastava, A. Abebe, and S. Mitra. 2015. Baseflow response to climate variability induced droughts in the Apalachicola-Chattahoochee-Flint River Basin, U.S.A. Journal of Hydrology, 528: 550-561.
  58. Mirhosseini*, G., P. Srivastava, and A. Sharifi. 2015. Developing Probability-Based IDF Curves Using Kernel Density Estimator. J. Hydrol. Eng., 10.1061/(ASCE)HE.1943-5584.0001160, 04015002.
  59. Sharma*, S., P. Srivastava, L. Kalin, X. Fang, and E. Elias. 2015. Performance Comparison of Adoptive Neuro-Fuzzy Inference System (ANFIS) with Loading Simulation Program C++ (LSPC) Model for Streamflow Simulation in El Niño Southern Oscillation (ENSO) Affected Watershed. Expert Systems with Applications, 42(4): 2213-2223.
  60. Singh*, H.V., L. Kalin, A. Morrison, P. Srivastava, G. Lockaby, and S. Pan. 2015. Post-Validation of SWAT Model in a Coastal Watershed for Predicting Land Use/Cover Change Impacts. Hydrology Research, 46(6):  837-853.
  61. Lamba*, J., T.R. Way, P. Srivastava, and D.B. Watts. 2015. A Method for Subsurface-Banding Poultry Litter in Plots Not Accessible with Conventional Field Equipment. Applied Engineering in Agriculture. 31(4): 555-558.
  62. Sharma*, S., P. Srivastava, X. Fang, L. Kalin. 2015. Long-Range Hydrologic Forecasting in El Niño Southern Oscillation-Affected Coastal Watersheds: Comparison of Climate Model and Weather Generator Approach. Journal of Hydrologic Engg., 20(12), 10.1061/(ASCE)HE.1943-5584.0001198.
  63. Sharma*, S., P. Srivastava, X. Fang, and L. Kalin. 2014. Total Organic Carbon Load Simulation with El Niño Southern Oscillation Using Hybrid and Fuzzy Logic Approaches. Transactions of the ASABE, 57(4): 1071-1085.
  64. Mitra*, S., P. Srivastava, S. Singh, and D. Yates. 2014. Effect of ENSO-induced Climate Variability on Groundwater Levels in the Lower Apalachicola-Chattahoochee-Flint River Basin. Transactions of the ASABE, 57(5): 1393-1403.
  65. Mirhosseini*, G., P. Srivastava, and X. Fang. 2014. Developing Rainfall Intensity-Duration-Frequency (IDF) Curves for Alabama under Future Climate Scenarios using Artificial Neural Network (ANN). J. Hydrol. Eng., 19(11), 04014022.
  66. Elias, E., D. Laband, M. Dougherty, G. Lockaby, P. Srivastava, and H. Rodriguez. 2014. The public water supply protection value of forests: A watershed-scale ecosystem services analysis based upon total organic carbon. Open Journal of Ecology, 4(09): 517-531. doi: 10.4236/oje.2014.49042.
  67. Lamba*, J., P. Srivastava, T. Way, S. Sen*, C. W. Wood, and K. Yoo. 2013. Nutrient Loss in Leachate and Surface Runoff from Surface-Broadcast and Subsurface-Banded Broiler Litter. J. Environ. Qual. 42:1574-1582.
  68. Niraula*, R., L. Kalin, P. Srivastava, and C. Anderson. 2013. Identifying Critical Source Areas of Nonpoint Source Pollution with SWAT and GWLF. Ecological Modelling 268:123-133.
  69. Bolson, J., C. Martinez, N. Breuer, P. Srivastava, and P. Knox. 2013. Climate information use among southeast US water managers: beyond barriers and toward opportunities. Regional Environmental Change 13 (Suppl. 1): 141-151.
  70. Mirhosseini*, G., P. Srivastava, and L. Stefanova. 2013. The impact of climate change on rainfall Intensity-Duration-Frequency (IDF) curves in Alabama. Regional Environmental Change 13 (Suppl. 1): S25-S33.
  71. Sharda*, V., P. Srivastava, L. Kalin, K. Ingram, and M. Chelliah. 2013. Development of Community Water Deficit Index: Drought-Forecasting Tool for Small- to Mid-Size Communities of the Southeastern United States. Journal of Hydrologic Engineering, 18(7): 846-858.
  72. Isik, S., L. Kalin, J.E. Schoonover, P. Srivastava, and B.G. Lockaby 2013. Modeling effects of changing land use/cover on daily streamflow: An Artificial Neural Network and curve number based hybrid approach, Journal of Hydrology, 485: 103-112.
  73. Elias*, E., M. Dougherty, P. Srivastava, and D. Laband. 2013. The impact of forest to urban land conversion on streamflow, total nitrogen, total phosphorus, and total organic carbon inputs to the Converse reservoir, Southern Alabama, USA. Urban Ecosystems 16:79-107.
  74. Sharma*, S., P. Srivastava, X. Fang, and L. Kalin. 2012. Incorporating Climate Variability for Point Source Discharge Permitting in a Complex River System. Transactions of the ASABE, 55(6): 2213 - 2228.
  75. Lamba*, J., T. Way, P. Srivastava, S. Sen*, C.W. Wood, and K. Yoo. 2012. Surface Transport of Nutrients from Surface-Broadcast and Subsurface-Banded Broiler Litter. Transactions of the ASABE 55(3): 995-1002.
  76. Sen*, S., P. Srivastava, P.A. Vadas, and L. Kalin. 2012. Watershed-level Comparison of Predictability and Sensitivity of Two Phosphorus Models. Journal of Environmental Quality, 41:1642-1652.
  77. Sharma*, S., S. Isik, P. Srivastava, and L. Kalin. 2012. Deriving Spatially-Distributed Precipitation Data Using Artificial Neural Network and Multi-Linear Regression Models. J. Hydrol. Eng., 18(2), 194-205.
  78. Sharda*, V., P. Srivastava, K. Ingram, M. Chelliah, and L. Kalin. 2012. Quantification of El Niño Southern Oscillation (ENSO) Impact on Precipitation and Stream flows for Improved Management of Water Resources in Alabama. Journal of Soil and Water Conservation, 67(3): 158-172.
  79. Niraula*, R., L. Kalin, R. Wang*, P. Srivastava. 2012. Determining Nutrient and Sediment Critical Source Areas with SWAT Model: Effect of Lumped Calibration. Transactions of the ASABE, 55(1): 1-11.
  80. Sen*, S., P. Srivastava, T.P. Clement, J.H. Dane, and H. Meng. 2011. Simulating pasture hillslope hydrologic response using HIRO2 model. Journal of Soil and Water Conservation, 66(6):411-422.
  81. Way, T., J. Lamba*, and P. Srivastava. 2011. A method for installing zero-tension pan and wick lysimeters in soil. Applied Engineering in Agriculture, 27(5): 747-755.
  82. Mondal*, P., P. Srivastava, L. Kalin, and S.N. Panda. 2011. Ecologically-sustainable surface water withdrawal for cropland irrigation through incorporation of climate variability. J. Soil and Water Conservation 66(4):221-232; doi:10.2489/jswc.66.4.221.
  83. Singh*, H.V., L. Kalin, and P. Srivastava. 2011. Effect of soil data resolution on identification of critical source areas of sediment. Journal of Hydrologic Engineering doi:10.1061/(ASCE)HE.1943-5584.0000318.
  84. Campbell, C., J. Fulton, T. McDonald, W. Wood, W. Zech, and P. Srivastava. 2010. Spinner-disc technology to enhance the application of litter. Applied Engineering in Agriculture, 26(5): 759-767.
  85. Srivastava, P., A.K. Gupta*, and L. Kalin. 2010. An ecologically-sustainable surface water withdrawal framework for cropland irrigation - a case study in Alabama. Environmental Management, 46(2): 302-313.
  86. Sen*, S., P. Srivastava, J. Dane, K. Yoo, and J. Shaw. 2010. Spatial-temporal variability and hydrologic connectivity of runoff generation areas in a North Alabama pasture - implications for phosphorus transport. Hydrological Processes, 24(3): 342-356.
  87. Srivastava, P., S. Sanders*, J.H. Dane, Y. Feng, J. Basile, and M.O. Barnett. 2009. Miscible displacement column studies to evaluate the sorption and mobility of sulfadimethoxine and ormetoprim in soil. Vadose Zone Journal, 8(1):32-41.
  88. Sen*, S., P. Srivastava, K. Yoo, J. Dane, J. Shaw, and M.S. Kang*. 2008. Runoff Generation Mechanisms in Pastures of the Appalachian Plateau Region of Alabama - A Field Investigation. Hydrological Processes 22(21):4222-4232.
  89. Sanders*, S., P. Srivastava, Y. Feng, J.H. Dane, J. Basile, and M.O. Barnett. 2008. Sorption of veterinary antimicrobials sulfadimethoxine and ormetoprim in soil. Journal of Environmental Quality, 37(4): 1510-1518.
  90. Kang*, M.S., P. Srivastava, T. Tyson, J. Fulton, K. Yoo, and W.F. Owsley. 2008. GIS-based decision support system for poultry litter management. Computers and Electronics in Agriculture 64(2):212-224.
  91. Bhattarai*, G., P. Srivastava, L. Marzen, D. Hite, and L. Hatch. 2008. Assessment of economic and water quality impacts of land use change using a simple bioeconomic model. Environmental Management. Environmental Management, 42(1): 122-131.
  92. Johnson, T.E., J.N. McNair, P. Srivastava, and D.D. Hart. 2007. Stream ecosystem responses to spatially variable land cover: A model with implications for riparian restoration. Freshwater Biology 52(4): 680-695.
  93. Srivastava, P., K.W. Migliaccio, and J. Šimunek. 2007. Landscape models for simulating water quality at point, field, and watershed scales. Invited Manuscript for Centennial Issue of Transactions of the ASABE 50(5): 1683-1693.
  94. Migliaccio, K.W. and P. Srivastava. 2007. Hydrologic components of watershed-scale models. Invited Manuscript for Centennial Issue of Transactions of the ASABE 50(5): 1695-1703.
  95. Butler*, G.A. and P. Srivastava. 2007. An Alabama BMP database for evaluating water quality impacts of alternative management practices. Applied Engineering in Agriculture 23(6): 727-736.
  96. Srivastava, P., J.N. McNair, and T.E. Johnson. 2006. Comparison of mechanistic and neural network approaches for stream flow modeling in an agricultural watershed. Journal of the American Water Resources Association (JAWRA) 42(2):545-563.
  97. Yagow, G., B. Wilson, P. Srivastava, and C. Obropta. 2006. Use of biological indicators for TMDL development and implementation. Transactions of the ASABE 49(4): 1023-1032.
  98. Kang*, M.S., P. Srivastava, J. Fulton, T. Tyson, F. Owsley, and K.H. Yoo. 2006. Optimal Poultry Litter Management through GIS-based Transportation Analysis System. Journal of the Korean Society of Agricultural Engineers (JKSAE) 48(7): 73-86. (In English)
  99. Khalequzzaman, M., P. Srivastava, and F.S. Faruque. 2004. The Indian river-linking project: a geologic, hydrologic, ecologic, and socio-economic perspective. In Proceedings of the International Conference on Regional Cooperation on Transboundary Rivers: Impact of the Indian River-linking Project. December 17-19, 2004, Dhaka, Bangladesh. (Peer-reviewed proceeding).
  100. Srivastava, P., J.M. Hamlett, and P.D. Robillard. 2003. Watershed Optimization of Agricultural Best Management Practices: Continuous Simulation vs. Design Storms. Journal of the American Water Resources Association, 39(5): 1043-1054.
  101. Srivastava, P., J.M. Hamlett, P.D. Robillard, and R.L. Day. 2002. Watershed optimization of best management practices using AnnAGNPS and a genetic algorithm. Water Resources Research, 38(3): 1-14.
  102. Srivastava, P., R.L. Day, P.D. Robillard, and J.M. Hamlett. 2001. AnnGIS: Integration of GIS and a continuous simulation model for non-point source pollution assessment. Transactions in GIS 5(3): 221-234.
  103. Chaubey, I., P. Srivastava, L. Han, S.N. Addy and X. Yin. 2000. Using GIS, remote sensing and water quality modeling to estimate animal waste pollution potential. P.K. Bollich (ed.). In Proc. Agricultural Water Quality and Quantity: Issues for the 21st Century 136-143. (Peer-reviewed proceeding).
  104. Srivastava, P., T.A. Costello, D.R. Edwards, and J.A. Ferguson.  1998.  Validating a vegetative filter strip performance model.  Transactions of the ASAE. 41(1): 89-95. 
  105. Edwards, D.R., P.A. Moore, Jr., T.C. Daniel, P. Srivastava, and D.J. Nichols.  1997.  Vegetative filter strip removal of metals in runoff from poultry litter-amended fescue grass plots.  Transactions of the ASAE. 40(1): 121-127.
  106. Srivastava, P., T.A. Costello, and D.R. Edwards.  1996.  A direct, approximate solution to the modified Green-Ampt infiltration equation.  Transactions of the ASAE. 39(4): 1411-1413.
  107. Srivastava P., D.R. Edwards, T.C. Daniel, P.A. Moore Jr. and T.A. Costello.  1996.  Performance of vegetative filter strips with varying pollutant source and filter strip lengths.  Transactions of the ASAE. 39(6): 2231-2239.
  108. Edwards D.R., P.A. Moore, Jr., T.C. Daniel, and P. Srivastava.  1996.  Poultry litter treated effects on quality of runoff from fescue plots.  Transactions of the ASAE.  39(1): 105-110.

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