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Renji REMESAN

Assistant Professor · Indian Institute of Technology Kharagpur

Portrait of Renji REMESAN
Institution
Indian Institute of Technology Kharagpur
Country
India
Qualification
PhD, University of Bristol

Areas of interest

land surface processes & environment Climate Impacts on Water Resources Catchment modelling and management Hydroinformatics

Biography

Renji Remesan is an assistant professor in water resources management and has over 10 years’ teaching, research and outreach experience. His research focusses on studies of hydrological processes and understanding the effects of interactions between water, atmosphere and landscape under current and future climate/land use conditions. He has work experiences with different UK universities (University of Bristol, University of Hull, Cranfield University and Centre for Ecology and Hydrology, Wallingford) on different projects relating to water and land resources. He has several quality publications in peer-reviewed, international journals and been part of some funded research projects.

Research Project

PAVITR- Potential and Validation of Sustainable Natural and Advance Technologies for Water and Wastewater Treatment, Monitoring and Safe Water Reuse in India Department of Science and Technology(DST) 2019-2022 (As Co-PI)

Vulnerability and Risk Assessment due to Various Environmental Drivers in a Climate Change Scenario over Eastern India [DST, Climate Change Programme (SPLICE), As Co-PI]

Evaluating connectivity of Coupled Hydrologic-land Use-Human Systems through pathogen transport modeling (SRIC- ISIRD, 2017-2020, As PI)

Development and Evaluation of Real-Time River-

Key Publications/Reports

Das A, Gupta A.K, Remesan R. 2020. Current trends and prospects of Sediment deposition and distribution modeling in reservoirs. Proceedings ICE: Water management, (inpress)

Remesan R, Begam S and Holman I. 2018. Effect of baseline snowpack assumptions in the HySIM model in predicting future hydrological behaviour of a himalayan catchment. Hydrology Research 50 (2): 691-708

Remesan R, Bray M and Mathew J. 2018. PCA and Cluster Analysis as Data Selection Indicators in Hybrid Rainfall-Runoff Modelling. Journal of Environmental Informatics. 31(2) 137-152

Soundharajan, B., Adeloye, A.J. and Remesan, R. 2016. Evaluating the variability in surface water reservoir planning characteristics during climate change impacts assessment. Journal of Hydrology. 538, 625–639. http://dx.doi.org/10.1016/j.jhydrol.2016.04.051

Remesan R, Holman, I., Chatrabgoun O, Daneshkhah, A, 2016. Modeling flood characterizations with parametric and minimum information Pair-Copula. Journal of Hydrology. 540, 469–487 http://dx.doi.org/10.1016/j.jhydrol.2016.06.044