• Irrigation Volume Calculator: https://occviz.com/CW3/IV/IV.html.The irrigation volume tool can be used to determine how much water grower is applying at each irrigation cycle. 
• Leaching Fraction based on salinity: https://occviz.com/CW3/LF/lf.html. The leaching fraction tool can determine how long the irrigation system needs to run for leaching salts.
• Pond Refill/ Runoff: https://occviz.com/CW3/PR/PR.html. The pond refill/runoff volume tool will help determine how much irrigation or rainfall is returning to the reservoir.
• Slow Sand Filter sizing tool: https://occviz.com/CW3/SSF/ssf.html. The slow sand filter sizing tool will help determine how large of a system is required to treat water.
• Pathogen Disease Risk Model: https://occviz.com/CW3/pathogen/pathogen.html. This tool can help to determine likely sources of disease and methods of spread in nursery operation.
• Pond Volume Calculator tool: https://occviz.com/CW3/pondCalculator/pond.html. The reservoir calculator tool can help determine the volume of water in a reservoir.
• Chlorine contact time tool: https://occviz.com/CW3/CT/CT.html. The chlorine contact time tool will help determine the adequate contact time for your chlorine-based disinfectants.
• Dilution Dosage: https://occviz.com/CW3/Cl/cl.html. This tool will help compute the correct dilution of chlorine for a stock tank and other applications.
• Coefficient of Uniformity calculator: https://occviz.com/CW3/CU/CU.html. The coefficient of uniformity tool can help determine if irrigation is being applied uniformly.
• Interception Efficiency: https://occviz.com/CW3/IE/IE.html. The interception efficiency tool can help to determine how much of the water applied makes it into the top of your container vs falling between containers when using overhead irrigation.

TMDL model selection tool https://occviz.com/tmdl/ (2016). A tool for the selection of TMDL development reports based on impairment and model used for development.

OccViz: Occoquan system real-time data analysis and visualization portal https://wqdata.owml.vt.edu and https://mwcog.owml.vt.edu (2013-2015). OccViz is an online real-time water resource data acquisition, curation, visualization, and analysis platform.

Talchabhadel, Rocky, Maskey, S., Gouli, M.R., Dahal, K., Thapa, A., Sharma, S., Dixit, A.M., Saurav Kumar. 2023. Multimodal multiscale characterization of cascading hazard on mountain terrain. Geomatics, Nat. Hazards Risk. https://doi.org/10.1080/19475705.2022.2162443

Quinn, Nigel W. T., Vamsi Sridharan, John Ramirez-Avila, Sanaz Imen, Huilin Gao, Rocky Talchabhadel, Saurav Kumar, and Walter McDonald. “Applications of GIS and Remote Sensing in Public Participation and Stakeholder Engagement for Watershed Management.” Socio-Environmental Systems Modelling 4 (October 17, 2022): 18149–18149. https://doi.org/10.18174/sesmo.18149

Sridharan, Vamsi .K.; Saurav Kumar; Swetha Madhur Kumar, S. Can Remote Sensing Fill the United States’ Monitoring Gap for Watershed Management? Water 2022, 14, 1985. https://doi.org/10.3390/w14131985

Sharma, Sanjib, Rocky Talchabhadel, Santosh Nepal, Ganesh R. Ghimire, Biplob Rakhal, Jeeban Panthi, Basanta R. Adhikari, Soni M. Pradhanang, Shreedhar Maskey and Saurav Kumar 2022. Increasing risk of cascading hazards in the central Himalayas. Nat. Haz. https://doi.org/10.1007/s11069-022-05462-0

Palmate, Santosh S., Saurav Kumar, Thomas Poulose, Girisha K. Ganjegunte, Vijayasatya N. Chaganti, and Zhuping Sheng. 2022 “Comparing the Effect of Different Irrigation Water Scenarios on Arid Region Pecan Orchard Using a System Dynamics Approach.” Agricultural Water Management 265 (May 1, 2022): 107547. https://doi.org/10.1016/j.agwat.2022.107547.

Poulose, Thomas, Saurav Kumar, Greg Torell. 2022 “Power storage using sand and engineered materials as an alternative for existing energy storage technologies.” Journal of Energy Storage Volume 51, 2022, 104381. https://doi.org/10.1016/j.est.2022.104381

Talchabhadel, Rocky, Helene McMillan, Santosh S. Palmate, Rosario Sanchez, Zhuping Sheng, and Saurav Kumar. 2021. "Current Status and Future Directions in Modeling a Transboundary Aquifer: A Case Study of Hueco Bolson" Water 13, no. 22: 3178. https://doi.org/10.3390/w13223178

Prajapati, Rajaram, Priya Silwal, Sudeep Duwal, Sandesh Shrestha, Aalok Sharma Kafle, Rocky Talchabhadel, and Saurav Kumar. 2021. “Detectability of Rainfall Characteristics over a Mountain River Basin in the Himalayan Region from 2000 to 2015 Using Ground- and Satellite-Based Products.” Theoretical and Applied Climatology, October. https://doi.org/10.1007/s00704-021-03820-9.

Xu, Jie, Rachel Phillips, Hugo Alarcon, and Saurav Kumar. 2021. “Current and Emergent Analytical Methods for Monitoring the Behavior of Agricultural Functional Nanoparticles in Relevant Matrices: A Review.” Current Opinion in Chemical Engineering 33: 100706. https://doi.org/10.1016/j.coche.2021.100706.

Sridharan, Vamsi Krishna, Nigel W. T. Quinn, Saurav Kumar, Steven C. McCutcheon, Ebrahim Ahmadisharaf, Xing Fang, Harry X. Zhang, and Andrew Parker. 2021. “Selecting Reliable Models for Total Maximum Daily Load Development: Holistic Protocol.” Journal of Hydrologic Engineering 26(10): 04021031.https://doi.org/10.1061/(ASCE)HE.1943-5584.0002102.

Maharjan, Manisha, Anil Aryal, Bijay Man Shakya, Rocky Talchabhadel, Bhesh R. Thapa, and Saurav Kumar. 2021. “Evaluation of Urban Heat Island (UHI) Using Satellite Images in Densely Populated Cities of South Asia.” Earth 2 (1). https://doi.org/10.3390/earth2010006.

Capt, Tallen, Ali Mirchi, Saurav Kumar, and W. Shane Walker. 2021. “Urban Water Demand: Statistical Optimization Approach to Modeling Daily Demand.” Journal of Water Resources Planning and Management 147 (2): 04020105. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001315.

Talchabhadel, Rocky, Jeeban Panthi, Sanjib Sharma, Ganesh R. Ghimire, Rupesh Baniya, Piyush Dahal, Mahendra B. Baniya, et al. 2021. “Insights on the Impacts of Hydroclimatic Extremes and Anthropogenic Activities on Sediment Yield of a River Basin.” Earth 2 (1). https://doi.org/10.3390/earth2010003.

Poulose, Thomas, Saurav Kumar, and Girisha K. Ganjegunte. 2021. “Robust Crop Water Simulation Using System Dynamic Approach for Participatory Modeling.” Environmental Modelling & Software 135 (January): 104899. https://doi.org/10.1016/j.envsoft.2020.104899.

Alger, Jessica, Alex Mayer, Saurav Kumar, and Alfredo Granados‐Olivas. 2020. “Urban Evaporative Consumptive Use for Water‐scarce Cities in the United States and Mexico.” AWWA Water Science 2 (5): 525. https://doi.org/10.1002/aws2.1185.

Nunoo, Robert, Paul Anderson, Saurav Kumar, and Jun-Jie Zhu. 2020. “Margin of Safety in TMDLs: Natural Language Processing-Aided Review of the State of Practice.” Journal of Hydrologic Engineering 25 (4): 04020002. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001889.

Kumar, Saurav, Adil Godrej, Harold Post, and Karl Berger. 2019. “The Value of Intensive Sampling—A Comparison of Fluvial Loads.” Water Resour. Manage. 33 (12): 4303–18. https://doi.org/10.1007/s11269-019-02369-7

Borah, Deva K., G. Padmanabhan, and Saurav Kumar. 2019. “Total Maximum Daily Load Analysis and Modeling: Assessment and Advancement.” Journal of Hydrologic Engineering 24 (11): 02019001. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001853.

Asadi, Mojtaba, Abbasali TaghaviGhalesari, and Saurav Kumar. 2019. “Machine Learning Techniques for Estimation of Los Angeles Abrasion Value of Rock Aggregates.” European Journal of Environmental and Civil Engineering, November, 1–14. https://doi.org/10.1080/19648189.2019.1690585.

Quinn, Nigel W. T., Saurav Kumar, and Sanaz Imen. 2019. “Overview of Remote Sensing and GIS Uses in Watershed and TMDL Analyses.” Journal of Hydrologic Engineering 24 (4): 02519002. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001742.

Quinn, Nigel W. T., Saurav Kumar, Rosanna La Plante, and Francisco Cubas. 2019. “Tool for Searching USEPA’s TMDL Reports Repository to Analyze TMDL Modeling State of the Practice.” Journal of Hydrologic Engineering 24 (9): 04019026. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001805.

Fathi, Aria, S Mohsen Haeri, Mehran Mazari, Arash Hosseini, Saurav Kumar, and Cheng Zhu. 2019. “Estimation of Rocking Capacity of Soil-Structure Systems Using a Hybrid Inverse Solver.” SN Applied Sciences 1 (7): 703. https://doi.org/10.1007/s42452-019-0724-9.

Kumar, Saurav, Glenn E. Moglen, Adil N. Godrej, Thomas J. Grizzard, and Harold E. Post. 2018. “Trends in Water Yield under Climate Change and Urbanization in the US Mid-Atlantic Region.” Journal of Water Resources Planning and Management 144 (8): 05018009. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000937.

Ganjegunte, Girisha K, John A Clark, Megha N Parajulee, Juan Enciso, and Saurav Kumar. 2018. “Salinity Management in Pima Cotton Fields Using Sulfur Burner.” Agrosystems, Geosciences & the Environment 1. https://doi.org/10.2134/age2018.04.0006.

Kumar, Saurav, Adil N Godrej, and Thomas J Grizzard. 2016. “Pre-Development Conditions to Assess the Impact of Growth in an Urbanizing Watershed in Northern Virginia.” J. Hydrol. 540 (September): 1066–77. https://doi.org/10.1016/j.jhydrol.2016.07.011.

Kumar, Saurav, Adil N Godrej, and Thomas J Grizzard. 2015. “A Web-Based Environmental Decision Support System for Legacy Models.” Journal of Hydroinformatics 17 (6): 874–90. https://doi.org/10.2166/hydro.2015.007.

Kumar, Saurav, Adil N Godrej, and Thomas J Grizzard. 2013. “Watershed Size Effects on Applicability of Regression-Based Methods for Fluvial Loads Estimation.” Water Resour. Res. 49 (11): 7698–7710. https://doi.org/10.1002/2013WR013704. 

Kumar, S. The promise of aerial imaging for water resources management and the Roorkee Water Conclave, IIT Roorkee, India March 2, 2022. (Keynote address)

S. Kumar.Panelist on the Panel Session titled “TMDL Analysis and Modeling: State-of-the-Art and State-of-the-Practice” in 2021 EWRI World Environment and Water Resources Congress. June 7, 2021

S. Kumar. Ongoing Experiments with Water System Modeling for Encouraging Participation and Integrating Remotely Sensed Data. Online Seminar to Dryland Critical Zone Group members. Feb 26, 2021. 

S. Kumar. Using TMDL reports to better understand water quality modeling. Online webinar to the Association of Clean Water Administrators. Feb 17, 2021.

Kumar, S. Water Resources Management Embracing the Data Deluge.  Indian Water Resources Society (IWRS), February 16-19, 2018: Roorkee, India (Keynote address)

Kumar, S., Water Resources Management in the Internet Age: Embracing the Data Deluge. SDSMT, February 2016: Rapid City, SD (Seminar)

Kumar, S. Water resources data analysis and web-based visualization. U.S. Geological Service Virginia Water Science Center, May 2014: Richmond, VA

Kumar, S. Water resources data management and modeling for the internet age. Utah State University, November 2013: Logan, UT

Kumar, S. Web-GIS, water resources modeling, and stakeholders. Nanyang Technological University, July 2011: Singapore

ASCE MOP 150: Total Maximum Daily Load Development and Implementation: Models, Methods, and Resources https://ascelibrary.org/doi/abs/10.1061/9780784415948.

Total Maximum Daily Load Analysis and Modeling: Assessment of the Practice https://doi.org/10.1061/9780784414712.

Moqsadur Rahman, Saurav Kumar, Santosh Palmate, and M. Shahriar Hossain. Self-supervised Learning for Hyperspectral Images of Trees. ACM SIGKDD Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data (DLP-KDD 2022). August 2022.Hyperspectral_Images_Embedding_2022.pdf

Fathi, A., M. Mazari, M. Saghafi, A. Hosseini, and S. Kumar, (2019). Parametric Study of Pavement Deterioration Using Machine Learning Algorithms. In Airfield and Highway Pavements 2019: Innovation and Sustainability in Highway and Airfield Pavement Technology (pp. 31-41). Reston, VA: American Society of Civil Engineers. doi: 10.1061/9780784482476.004

Majsztrik, JC, DR Hitchcock, S Kumar, D Sample, SA White. 2018. Clean WateR3: Developing Tools to Help Specialty Crop Growers Understand the Costs and Benefits of Recycling Water. Acta Horticulturae. Proceedings of the 3rd International Symposium on Woody Ornamentals of the Temperate Zone, Number 1191, 187-192. doi: 10.17660/ActaHortic.2018.1191.26 

Kumar, S., Godrej, A., and Grizzard, T. (2014). Extending the Occoquan reservoir water quality model for stakeholder involvement. International Conference on Hydroinformatics. http://academicworks.cuny.edu/cc_conf_hic/398

Kumar, S., Godrej, A., Grizzard, T., Post, H., and Bartlett, J. (2014). A web-based water resources analysis portal for the Occoquan watershed. International Conference on Hydroinformatics. http://academicworks.cuny.edu/cc_conf_hic/400 

Kumar, S., A. Godrej, and T. Grizzard (2014). Using locally distributed computing to aid water quality modeling. In: Ames, D.P., Quinn, N.W.T., Rizzoli, A.E. (Eds.), Proceedings of the 7th International Congress on Environmental Modelling and Software, June 15-19, San Diego, California, USA. ISBN: 978-88-9035-744-2

Kumar, S., A. Godrej, and T. Grizzard (2014). An extendable experiment with GIS and ICT to make environmental data and modeling user-friendly and accessible. In: Ames, D.P., Quinn, N.W.T., Rizzoli, A.E. (Eds.), Proceedings of the 7th International Congress on Environmental Modelling and Software, June 15-19, San Diego, California, USA. ISBN: 978-88-9035-744-2

S. Kumar and R. Talchabhadel, IN42A-01Using PlanetScope Data for BMP Identification and Assessment. AGU Fall meeting, Chicago 15 December 2022

Talchabhadel, R., S. Kumar., E. Rhodes, S. Playmate, and E Racine, GC36B-02- A Bayesian belief Network (BN) approach to explore the nexus between land cover changes, socioeconomic factors, and hydroclimate. 2022 AGU Fall meeting, Chicago 14 December 2022

Johnson A., S. Kumar, P. Aron, I. Uribe, S. Palmate, and W Weiss, H35G-04 An Exploration of Nutrient Management Case Studies to Assess the Impacts of BMPs 2022. AGU Fall meeting, Chicago 14 December 2022

Palmate, S., S. Kumar, R. Talchabhadel, and E. Mokari. A system dynamic approach for managing transboundary water systems. 2022 iEMSs Biennial Meeting, Brussels, 4th – 8th of July

Palmate, S., and S. Kumar. Wetland likelihood mapping of transboundary Himalaya using maximum entropy. ASCE-EWRI Water Congress, Atlanta June 5-8, 2022

Talchabhadel, R., P. Pradhan, K. Dahal, E. Rhodes, and S. Kumar. The effects of warming temperatures, groundwater decline, and altered precipitation on crop productivity across the Ogallala Aquifer in Texas. ASCE-EWRI Water Congress, Atlanta June 5-8, 2022

Talchabhadel, R., Sharma, S., and Kumar, S.: Understanding multiscale drivers of natural hazards, cascading failures, and risk management strategies within a multisector system, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3029, https://doi.org/10.5194/egusphere-egu22-3029, 2022

Kumar, S., R. Talchabhadel, and D. Cheu. BMP-Net: Deep-learning models to identify BMPs. AGU Fall Meeting 2021, New Orleans, LA, USA. 13–17 December 2021. https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/869490

Talchabhadel, Rocky, Kshitij Dahal, and Saurav Kumar. Spatial downscaling of coarse resolution satellite-based precipitation estimates (SPEs) to 1 km using Machine Learning In The 3rd NOAA Workshop on Leveraging AI in Environmental Sciences, 13–17 September 2021.

Majsztrik, J., S. Kumar, B. Pitton, L. Oki, D. Hitchcock, D. Sample, and S. White.  Tools for growers to efficiently manage water for specialty crop production.  American Society for Horticultural Sciences Annual Conference. Las Vegas, NV, USA. July 21-25 2019

Kobayashi Y., and S. Kumar. Using an Aerial Multispectral Sensor in Urban Areas for Assessing Changes over Time. World Environment and Water Resources Congress, Pittsburgh, PA. May 19-23 2019

Atwah, W., Jahan N, and S. Kumar. A comparison between four different regression based fluvial load estimation methods with an extensive sampling based direct load estimation method. World Environment and Water Resources Congress, Pittsburgh, PA. May 19-23 2019

Kumar, S., A. Godrej, J. Little, and H. Post. Next steps in reservoir monitoring and modeling: Connectivity and actionable visualizations. IWA Symposium on Lake and Reservoir Management (IWA L&RM 2015) August 4-7, 2015: Pembroke, VA

Kobayashi, Y., S. Kumar, W. Atwah, A. Ellerson, G. Ganjegunte. Model to Improve Decision Making for Farms Dealing with Salinity in the South-West Region. 9th International Congress on Environmental Modelling and Software, June 25-28, 2018, Fort Collins, CO.

Kumar, S. TRS Tool – Using Data Mining and Natural Language Processing to Assess the State of TMDL Development. 9th International Congress on Environmental Modelling and Software, June 25-28, 2018, Fort Collins, CO

Kobayashi, Y., S. Kumar, W. Atwah, A. Ellerson, G. Ganjegunte. A Bayesian Network Based Model for Decision Making on a Farm Scale Impacted by Salinity. World Environmental and Water Resources Congress 2018, June 3-7, 2018: Minneapolis, MN

Kumar, S., Atwah, W. State-of-Practice of Remote Sensing for Total Maximum Daily Load Modeling. World Environmental and Water Resources Congress 2018, June 3-7, 2018: Minneapolis, MN

Atwah, W., S. Kumar, A. Ellerson, Y. Kobayashi. Using an Aerial Multispectral Sensor in Urban Areas for Assessing Changes over Time. World Environmental and Water Resources Congress 2018, June 3-7, 2018: Minneapolis, MN

Kumar, S., N. Quinn, and S. Mubako. Innovations in use of GIS and remote sensing for TMDL analysis and modeling. World Environmental and Water Resources Congress 2017, May 21-25, 2017: Sacramento, CA

Kumar, S., G. Moglen, A. Godrej, T. Grizzard, H. Post, and M. Barandouzi. The Occoquan Watershed: trends from 40 years of observation during a time of changing land use and climate. The EWRI Watershed Management Symposium 2015, August 5-7, 2015: Reston, VA

Kumar, S. OccViz v2.0: A modern, interactive water quality and quantity data management and visualization platform. The 3rd CUAHSI Conference on Hydroinformatics, July 15-17, 2015: Tuscaloosa, AL

Kumar, S., A. Godrej, and T. Grizzard. A web-based water resources analysis portal for the Occoquan watershed. The 11th International Conference on Hydroinformatics, August 17 to 21, 2014: New York

Kumar, S., A. Godrej, and T. Grizzard. Extending the Occoquan reservoir water quality model for stakeholder involvement. Th 11th International Conference on Hydroinformatics, August 17 to 21, 2014: New York

Kumar, S., A. Godrej, and T. Grizzard. An extendable experiment with GIS and ICT to make environmental data and modeling user-friendly and accessible. The 7th International Congress on Environmental Modelling and Software (iEMSs), June 15-19, 2014: San Diego, California

Kumar, S., A. Godrej, and T. Grizzard. Using locally distributed computing to aid water quality modeling. The 7th International Congress on Environmental Modelling and Software (iEMSs), June 15-19, 2014: San Diego, California

Kumar, S., A. Godrej, and T. Grizzard. Making water resources data and modeling tools accessible to local stakeholders: An ongoing experiment in the Occoquan watershed. The 2013 CUAHSI Conference on Hydroinformatics and Modeling, July, 2013: Logan, UT

Kumar, S., A. Godrej, and T. Grizzard. Going from environmental-data to knowledge using GIS and modern web techniques. The National Capital Region Water Resources Symposium, April, 2013: Washington D.C.

Kumar, S., Z. Xing, and E.Y.M. Lo. Application of 3D hydrodynamic model coupled to an ecological model to the Kranji reservoir. Nanyang Technological University-Stanford University Symposium on the Environment 2005: Singapore

Talchabhadel, R., S. Sharma, S. Kumar., and R. Prajapati. INV44B-03Nexus perspective on multiscale drivers of natural hazards, cascading failures, and risk management strategies within a multisector system. AGU Fall meeting, Chicago 15 December 2022

K. Herrera, M. Mauritz, L. Jin, S. Kumar, and G. Ganjegunte, B14A-02Establishing Satellite-Derived Vegetation Index Baselines to Understand Pecan Orchard Water-Stress and Productivity in an Arid Environment. Monday, 2022 AGU Fall meeting, Chicago 14 December 2022

Dahal, K., Guang Liu, K. Gnyawali, R. Talchabhadel, S. Kumar. Framework for multi-hazards susceptibility assessment in Google Earth Engine. AGU Fall Meeting 2021, New Orleans, LA, USA. 13–17 December 2021. https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/828783

Talchabhadel, R., S. Kumar, and C. Sanchez. Urban heating, thermal exposure, and heat waves. AGU Fall Meeting 2021, New Orleans, LA, USA. 13–17 December 2021. https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/831543

Talchabhadel, R., H. McMillan, S. Palmate, R. Sanchez, Z. Sheng, and S. Kumar. Current Status and Future Directions in Modeling a transboundary aquifer: a case study of Hueco Bolson. AGU Fall Meeting 2021, New Orleans, LA, USA. 13–17 December 2021. https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/830950

Talchabhadel, Rocky, Kshitij Dahal, and Saurav Kumar. Machine Learning to Estimate Precipitation with Satellite-based and Gauged Observations In The 3rd NOAA Workshop on Leveraging AI in Environmental Sciences, 13–17 September 2021.

Howlider, H., Kumar, S., Poulose, T., and Pennington, D . Using Multi-Temporal Satellite Imagery and Machine Learning to Predict Crop Types in Middle Rio Grande. US-Mexico Border Summit., Las Cruces, NM. April 24 2019

Poulose, T., Kumar, S., Kobayashi, Y., Ortiz, K., Atwah, W.,Howlider, H., and Ganjegunte, G. Using Landsat 7 Data to Understand Changes in Cropping Patterns Over the Middle Rio Grande Basin. Water Symposium, El Paso, TX. January 8 2019

Kobayashi, Y., Kumar, S., Atwah, W., Ellerson, A., Poulose, T., and Ganjegunte, G. Improving the output of a farm field model through data assimilation. Water Symposium, El Paso, TX. January 8, 2019

Alger, J., A. Mayer, S. Kumar, A. Granados Olivas. Evapotranspiration in the Middle Rio Grande Region; Estimates for Urban Environments. Water Symposium and USDA Middle Rio Grande Basin Water Management Meeting, El Paso, TX. Jan 8, 2020

Kobayashi, Y., Kumar, S., Atwah, W., Ellerson, A., and Ganjegunte, G. Using a bayesian network based model to improve decision making for farms dealing with salinity. Water Symposium, El Paso, TX. January 8, 2018

Kumar, S., A. Godrej, and T. Grizzard. Extending a watershed and reservoir water quality model for stakeholder involvement with EDSS. Singapore International Water Week 2011: Singapore