Hydrological modeling
Remote Sensing and GIS applications in surface water hydrology
Drought modeling
Climate change impact assessment
Reservoir operation
Soil erosion modeling
Applied machine learning
Groundwater, Wells, and Pumps, Centurion University of Technology and Management; Under-graduate course (~ 48 students); Spring 2022
Watershed Planning and Management, Centurion University of Technology and Management; Under-graduate course (~ 48 students); Spring 2022
Watershed Hydrology, Centurion University of Technology and Management; Under-graduate course (~ 46 students); Fall 2021
Integrated Watershed Management, Centurion University of Technology and Management; Under-graduate course (~ 37 students); Fall 2021
Geo-spatial applications in Watershed Management, Centurion University of Technology and Management; Under-graduate course (~ 26 students); Fall 2021
Engineering Drawing, assisted supervisor at IIT Kharagpur, Under-graduate course (~ 80 students); Spring 2020
River Basin Planning and Management, assisted supervisor at IIT Kharagpur, Post-graduate course (~ 30 students); Spring 2019; Spring 2020
Environmental Hydrology and Hydraulics, assisted supervisor at IIT Kharagpur, Post-graduate course (~ 30 students); Fall 2019, Fall 2020
Remote Sensing and GIS Applications, assisted supervisor at IIT Kharagpur, Post-graduate course (~ 10 students); Fall 2018; Fall 2019; Fall 2020
Dash, S.S.*, Sahoo, B., Raghuwanshi, N.S., An integrated reservoir operation framework for enhanced water resources planning. Scientific Reports, 13, 21720 (2023). https://doi.org/10.1038/s41598-023-49107-z [IF: 4.6] (Published)
Dash, S.S.*, Sahoo, B. and Raghuwanshi, N.S., 2023. Improved drought monitoring in teleconnection to the climatic escalations: A hydrological modeling-based approach. Science of the Total Environment, 159545. https://doi.org/10.1016/j.scitotenv.2022. [IF: 10.753] (Published)
Dash, S.S.*, Sahoo, B. and Raghuwanshi, N.S., 2021. SWAT Model Calibration Approaches in an Integrated Paddy-Dominated Catchment-Command. Agricultural Water Management, 278, 108138. [IF: 6.611] (Published)
Dash, S.S.*, Sahoo, B. and Raghuwanshi, N.S., 2022. An Adaptive Multi-Objective Reservoir Operation Scheme for Improved Supply-Demand Management. Journal of Hydrology. [IF: 6.708] (Published)
Padhiary, J., Patra, K.C., Dash, S.S. 2022. A Novel Approach to Identify the Drivers of Drought under Future Climate Change Scenario. Water Resources Management. [IF: 4.416] (Published)
Chen, H., Huang, J. J., Dash, S. S., Zhiqing, L., Gao, J. J., McBean, E., Singh, V. P. 2022. Development of a Three-Source Remote Sensing Model for Estimation of Urban Evapotranspiration. Advances in Water Resources. 104126 [IF: 4.510] (Published)
Chen, H., Huang, J. J., McBean, E., Dash, S. S., Li, H., Zhang, J., Zhiqing, L., Gao, J. J., Zhou, Z. 2022. Evapotranspiration partitioning based on field-stable oxygen isotope observations for an urban locust forest land. Ecohydrology. https://doi.org/10.1002/eco.2431 [IF: 3.166] (Published)
Chen, H., Huang, J. J., Dash, S. S., McBean, E., Wei, Y., Li, H. (2022). Assessing the impact of urbanization on urban evapotranspiration and its components using a novel four-source energy balance model. Agricultural and Forest Meteorology, 316, 108853. [IF: 6.424] (Published)
Murasingh, S., Kuttippurath, J., Dash, S. S., Raj, S., Remesan, R., Jha, M. K., & Kumar, P. (2022). Long-term trends and projections of hydrological fluxes under RCP climate change scenarios for a mountainous river catchment of northeast India. Journal of Water and Climate Change, 13(4), 1776-1789. [IF: 2.803] (Published)
Chen, C., Zhang, Q., Kashani, M. H., Jun, C., Bateni, S. M., Band, Dash, S. S., Chau, K. W. (2022). Forecast of rainfall distribution based on fixed sliding window long short-term memory. Engineering Applications of Computational Fluid Mechanics, 16(1), 248-261. [IF: 8.391] (Published)
Kumar, M., Sahu, A. P., Sahoo, N., Dash, S. S., Raul., S. K., Panigrahi, B., 2021. Global-scale application of the RUSLE model: a comprehensive review . Hydrological Sciences Journal. [IF: 3.502] (Published)
Chen, H., Huang, J. J., Dash, S. S., Wei, Y. 2021. A Hybrid Deep Learning Framework with Physical Process Description for Simulation of Evapotranspiration . Journal of Hydrology. [IF: 6.708] (Published)
Mhaske, S.N., Pathak, K., Dash, S.S., Nayak, D.B., 2021. Assessment and management of soil erosion in the hilltop mining dominated catchment using GIS integrated RUSLE model. Journal of Environmental Management 294(11):112987 [IF: 8.910] (Published)
Chen, H., Huang, J. J., Dash, S. S., McBean, E., Li, H., Zhang, J. 2021. Assessing the effects of end-members determination on regional evapotranspiration simulation in trapezoidal framework based model. Agricultural and Forest Meteorology. (Accepted) [IF: 6.424] (Published)
Dash, S.S., Sahoo, B. and Raghuwanshi, N.S., 2020. How reliable are the evapotranspiration estimates by Soil and Water Assessment Tool (SWAT) and Variable Infiltration Capacity (VIC) models for catchment-scale drought assessment and irrigation planning? . Journal of Hydrology, p.125838. https://doi.org/10.1016/j.jhydrol.2020.125838 [IF: 6.708] (Published)
Dash, S.S., Sahoo, B. and Raghuwanshi, N.S., 2020. A Novel Embedded Pothole Module for Soil and Water Assessment Tool (SWAT) Improving Streamflow Estimation in Paddy-Dominated Catchments. Journal of Hydrology, p.125103. https://doi.org/10.1016/j.jhydrol.2020.125103 [IF: 6.708] (Published)
Dash, S. S., Sena, D. R., Mandal, U., Kumar, A., Kumar, G., Mishra, P, K., Rawat, M. 2020. A hydrological modelling-based approach for vulnerable area identification under changing climate scenarios. Journal of Water and Climate Change, doi: https://doi.org/10.2166/wcc.2020.202 [IF: 2.803] (Published)
Behera, M., Sena, D.R., Mandal, U., Kashyap, P.S., Dash, S.S. 2020. Integrated GIS-based RUSLE approach for quantification of potential soil erosion under future climate change scenarios. Environmental Monitoring and Assessment, 192(11), pp.1-18. [IF: 3.307] (Published)
Dash, S.S., Debnath, S. and Behera, M., 2020. Evaluation of Evapotranspiration Methods for Rice Yield Simulation in a Tropical River Basin. Int. J. Curr. Microbiol. App. Sci, 9(5), pp.2560-2566. (Published)
Dash, S. S., Sahoo, B., Raghuwanshi, N. S. 2019. A SWAT-Copula based approach for monitoring and assessment of drought propagation in an irrigation command. Ecological Engineering, 127: 417-430. [IF: 4.035] (Published)
Padhiary, J., Patra, K.C., Dash, S.S., Kumar, A.U. 2019. Climate change impact assessment on hydrological fluxes based on ensemble GCM outputs: a case study in eastern Indian River Basin. Journal of Water and Climate Change, https://doi.org/10.2166/wcc.2019.080 [IF: 2.803] (Published)
Behera, S. S., Ojha, C.S.P., Hari Prasad, K.S., Dash, S.S. 2023. Yield, water and carbon footprint of rainfed rice production under the lens of near-future climate change: A case study in the eastern coastal agro-climatic zone, Odisha, India. Environmental Monitoring and Assessment. [IF: 3.307] (Published)
Chen, H., Dash, S. S., Huang, J. J., McBean, E., Singh, V. P., Li, H., Zhang, J., Zhiqing, L., Gao, J. J., Zhou, Z. 2022. A nonlinear boundary two source trapezoid framework for estimation of land surface evapotranspiration. Hydrological Sciences Journal. [IF: 3.502] (Accepted)
Publications under review
Dash, S.S.*, Naik, B. and Kashyap, P.S., 2023.Assessment of Land Use/ Land Cover Change Derived Catchment Hydrologic Response: An Integrated Parsimonious Hydrological Modelling and Alteration Analysis Based Approach. Journal of Environmental Management.
Pandey, C. B., Srivastava, A., Dash, S. S., Kanak, N. 2023. Characterizing Land use/land Cover Change dynamics by an Enhanced Random Forest Machine Learning Model: A Google Earth Engine Implementation. Remote Sensing.
Kumar, M., Sahu, A. P., Dash, S. S.*, Raul, S. K. 2023. Long-Term Spatiotemporal Soil Moisture Variation in the Lower Mahanadi River Basin: A Hydrological Modeling based approach. Environment, Development and Sustainability.
Kumar, M., Sahu, A. P., Sahoo, N., Dash, S. S*., Tinde, L., Sahoo, B, C., 2022. State-of-Art for Global Rainfall Erosivity Estimation: A Comprehensive Review. Hydrological Sciences Journal.
1. Zhao, M., Dash, S. S., O'Loughlin, F., National to Regional Scale Water Quality Mapping: A Remote Sensing-based Approach. 2024. Journal of Environmental Management.
Dash, S.S., Basu, B., O'Loughlin, F., Bruenn, M. Remote-sensing Derived Urbanization Response to Demographic Projection in Ireland (2023), AGU Fall Meeting 2023.
Dash, S.S., Basu, B., O'Loughlin, F., Bruenn, M. Identification of extent and drivers of urbanisation in Ireland: A remote sensing-based approach, (2023), EGU meeting 2023.
Panda, P. K., Dash, S. S., Sankalp, S., Chakravarty, S., Barik, K. 2022. Adequacy of satellite data products in crop yield mapping using geospatial approach. ISCA conference, 2022.
Dash, S.S., Sahoo, B., Raghuwanshi, N. S. (2021) An Integrated Hydrological Modeling based Approach for Quantification of Agricultural Drought, AGU’s Fall Meeting 2021.
Dash, S.S., Sahoo, B., Raghuwanshi, N. S. (2020) Adequacy of HRU and Grid-based Hydrological Models for Streamflow Simulation in a Paddy-Dominated Agricultural Catchment, AGU’s Fall Meeting 2020.
Dash, S.S., Sahoo, B., Raghuwanshi, N. S. (2020) Enhancing the Prediction Accuracy of Reservoir Inflow Under Ungauged Catchment-Command Scenario Using SWAT-SVM Coupled Model, HYDRO 2020 International, National Institute of Technology.
Dash, S.S., Sahoo, B., Raghuwanshi, N. S. (2018) Comparative Assessment of Model Uncertainties in Streamflow Estimation from a Paddy-Dominated Integrated Catchment-Reservoir Command, AGU’s Fall Meeting 2018, December 10-14, Washington, D.C.
Murasingh, S., Jha, M.K., Dash, S.S., Jayanarayanan, K. (2018) Evaluation of daily and monthly streamflow simulation for a hilly watershed of North-East India, AGU’s Fall Meeting 2018, December 10-14, Washington, D.C.
Dash, S.S., Sahoo, B., Raghuwanshi, N. S. (2018) A Bivariate SWAT-Copulas-based approach for detection of agricultural drought year in a tropical canal command, 2018 International SWAT Conference, IIT Madras, Chennai, India, January 8-12, 2018.