Bio
Dr. Saubhagya Singh Rathore is a watershed hydrologist in the Environmental Sciences Division at 91做厙 (ORNL). With a background in numerical and analytical modeling of hydrologic systems, Dr. Rathore is dedicated to studying the intricate flow and transport dynamics within inland and coastal watersheds.
Dr. Rathore leverages advanced computational models to investigate the complexities of water flow, availability, and quality across diverse hydrologic landscapes. His work integrates process-based models and data to assess the impacts of external drivers, both natural and human-induced, on watershed hydrology. Through his research, he aims to enhance predictive capabilities for sustainable water resource management and inform decision-making in coupled natural and built environments.
Professional Experience
2024 - present: R&D Staff, Environmental Sciences Division, Oak Ridge National Lab
2021 2024: Associate R&D Staff, Environmental Sciences Division, Oak Ridge National Lab
2020 2021: Post Doctoral Researcher, Environmental Sciences Division, Oak Ridge National Lab
2019 2020: Instructor of Record, College of Engineering, Georgia Institute of Technology
Awards
- Honorable Mention (2nd place), UCOWR Ph.D. Dissertation Award (2021)
- Outstanding Graduate Student Instructor for Civil and Environmental Engineering (2019)
- Best Resident Advisor of the Year, Department of Housing, Georgia Tech (2019)
- NAFSA Advocate - nominated by Georgia Tech, Capitol Hill, Washington D.C. (2018)
- Undergraduate Research Award, IIT Bombay (2013)
Education
2020: Ph.D., Civil Engineering, Georgia Institute of Technology
Development of seawater-freshwater interface in heterogeneous coastal aquifers
Ph.D. Dissertation advisor: Jian Luo and Aris Georgakakos
2017: M.S., Civil Engineering, Georgia Institute of Technology
Concentration: Environmental Fluid Mechanics and Water Resources Engineering
2014: B.Tech., Civil Engineering (Honors), Indian Institute of Technology Bombay
B.Tech. Dissertation advisor: T.I. Eldho
Professional Service
Manuscript Reviewer
Nature Scientific Reports, Geophysical Research Letters, Water Resources Research, Journal of Hydrology, Journal of Contaminant Hydrology, Environmental Modeling and Software
Proposal Reviewer
- DOE-ESS Panel Reviewer (2023, 2024)
Professional Society Service
- Session convener: Advances in Coastal Hydrology: Processes and Impacts, AGU Fall Meeting, 2019
- Session convener: Groundwater-Surface Water Interactions: Integrating Physical, Biological, and Chemical Patterns and Processes Across Systems and Scales, AGU Fall Meeting, 2022
Georgia Institute of Technology
- Student Advisor: Honor Advisory Council, Office of Student Integrity, 2015-2019
- Graduate Teaching Fellow: Center for Teaching and Learning, 2019
Professional Affiliations
American Geophysical Union
Publications
Other Publications
- Rathore, S.S., Svyatskii, D.S., Coon E. T., Son, K., and Painter, S.L. (2024) Modeling the effects of artificial drainage on agriculture-dominated watersheds using a fully distributed integrated hydrology model. Water Resources Research, 60, e2023WR035993,
- Rathore, S.S., Coon E. T., and Painter, S.L. (2024) A Stream-aligned Mixed Polyhedral Meshing Strategy for Integrated Surface- Subsurface Hydrological Models Computers & Geosciences, July 2024, 105617,
- Perez, G., Coon, E.T., Rathore, S.S., Le, P.V.V. (2024), Advancing process-based flood frequency analysis for assessing flood hazard and population flood exposure. Journal of Hydrology, 639: 131620,
- Le, P. V. V., Rathore, S. S., Coon, E. T., Ward, A., Haggerty, R., and Painter, S. L. (2024) Hydrologic connectivity and dynamics of solute transport in a mountain stream: Insights from a long-term tracer test and multiscale transport modeling informed by machine learning. Journal of Hydrology, 639, 131562.
- Rathore, S.S., Ward, A.S. and Painter, S.L., (2023) Numerical evaluation of photosensitive tracers as a strategy for separating surface and subsurface transient storage in streams Journal of Hydrology, 624, p.129931.
- Le, P.V., Rathore, S.S. and Painter, S.L., (2023) A multiscale model for solute transport in stream corridors with unsteady flow Journal of Hydrology, 622, p.129670.
- Rathore, S.S., Schwartz, G.E., Brooks, S.C. and Painter, S. L., (2022) Joint estimation of biogeochemical model parameters from multiple experiments: A Bayesian approach applied to mercury methylation Environmental Modelling & Software, 155, p.105453.
- Schwartz, G.E., Muller, K.A., Rathore, S.S., Wilpiszeski, R.L., Carrell, A.A., Cregger, M.A., Elias, D.A., Podar, M., Painter, S.L., Brooks, S.C., (2022) Incorporating Variable Sediment Microbial Activity into Methylmercury Production Kinetics Modeling Environmental Science: Processes & Impacts.
- Rathore, S. S., Jan, A., Coon, E., Painter S. L. (2021), On the Reliability of Parameter Inferences in a Multiscale Model for Transport in Stream Corridors Water Resources Research, 57,
- Rathore, S. S., Lu, C., & Luo, J. (2020). A semi-analytical method to fast delineate seawaterfreshwater interface in twodimensional heterogeneous coastal aquifers Water Resources Research, 56, e2020WR027197.
- Rathore, S. S., Tang, Y., Lu, C., & Luo, J. (2020) A Simplified Equation of Approximate Interface Profile in Stratified Coastal Aquifers Journal of Hydrology, 124249.
- Tang, Y., Rathore, S. S., Lu, C., & Luo, J. (2020) Development of groundwater lens for transient recharge in strip islands Journal of Hydrology, 590, 125209.
- Lu, C., Cao, H., Ma, J., Shi, W., Rathore, S. S., Wu, J., & Luo, J. (2019) A proofofconcept study of using a less permeable slice along the shoreline to increase fresh groundwater storage of oceanic islands: Analytical and experimental validation Water Resources Research, 55,&紳莉莽梯;&紳莉莽梯;6450&紳莉莽梯;6463.&紳莉莽梯;
- Rathore, S. S., Zhao, Y., Lu, C., & Luo, J. (2018). Defining the effect of stratification in coastal aquifers using a new parameter. Water Resources Research, 54(9).
- Rathore, S. S., Zhao, Y., Lu, C., & Luo, J. (2018). Analytical analysis of the temporal asymmetry between seawater intrusion and retreat. Advances in Water Resources, 111, 121-131.
- Zhao, Y., Rathore, S. S., Liu, M., & Luo, J. (2018). Joint Bayesian Inversion for Analyzing Conservative and Reactive Breakthrough Curves Journal of Hydrology, 567, 446-456.
- Lu, C., Wang, Z., Zhao, Y., Rathore, S. S., Huo, J., Tang, Y., et al. (2018). A mobile-mobile transport model for simulating reactive transport in connected heterogeneous fields. Journal of Hydrology, 560, 97-108.