Research

My research aims at advancing the understanding of hydro-climatology and its interaction with other natural-human systems. Specifically, my research work has focused on the resilience analysis of ecohydrological systems at different spatial scales, hydrological modeling, and climate change impact assessment.

I utilize remote sensing dataset and machine learning tools to solve the hydrological problems such as risk and resilience analysis, hydrologic predictions.

My research interests are:


Publications

You can also find updated list of my papers on my Google Scholar profile.

Journal Articles

  1. Ashutosh Sharma, Anupal Baruah, Nikunj Mangukiya, Gilbert Hinge, and Biswadeep Bharali (2022) Evaluation of Gangetic dolphin habitat suitability under hydroclimatic changes using a coupled hydrological-hydrodynamic approach. Ecological Informatics, 69, 101639.
  2. Nikunj K. Mangukiya and Ashutosh Sharma (2022) Flood risk mapping for the lower Narmada basin in India: a machine learning and IoT-based framework. Natural Hazards, 1-20.
  3. Dubey, S., Sharma, A., Panchariya, V. K., Goyal, M. K., Surampalli, R. Y., & Zhang, T. C. (2021). “Regional sustainable development of renewable natural resources using Net Primary Productivity on a global scale”. Ecological Indicators, 127, 107768.
  4. Ma, K., Feng, D., Lawson, K., Tsai, W. P., Liang, C., Huang, X., Sharma, A & Shen, C. (2021). Transferring Hydrologic Data Across Continents–Leveraging Data-Rich Regions to Improve Hydrologic Prediction in Data-Sparse Regions. Water Resources Research, 57(5), e2020WR028600.
  5. Che-Castaldo, J. P., Cousin, R., Daryanto, S., Deng, G., Feng, M. L. E., Gupta, R. K., … & Matteson, D. S. (2021). Critical Risk Indicators (CRIs) for the electric power grid: A survey and discussion of interconnected effects. arXiv preprint arXiv:2101.07771.
  6. Ashutosh Sharma and Manish Kumar Goyal (2020) “Assessment of Drought Trend and Variability in India using Wavelet Transform”, Hydrological Sciences Journal, 65(9), 1539-1554.
  7. Ashutosh Sharma and Manish Kumar Goyal (2019) “Assessment of the Changes in Precipitation and Temperature in Teesta River Basin in Indian Himalayan Region under Climate Change”, Atmospheric Research, 231, 104670.
  8. Srinidhi Jha, Jew Das, Ashutosh Sharma, Budhaditya Hazra and Manish Kumar Goyal (2019) “Probabilistic evaluation of vegetation drought likelihood and its implications to resilience across India”, Global and Planetary Change, 176, 23-35.
  9. Manas Khan, Ashutosh Sharma and Manish Kumar Goyal (2019) “Assessment of future water provisioning and sediment load under climate and LULC change scenarios in a peninsular river basin, India”, Hydrological Sciences Journal, 64(4), 405-419.
  10. Ashutosh Sharma and Manish Kumar Goyal (2018) “District-level assessment of the ecohydrological resilience to hydroclimatic disturbances and its controlling factors in India”, Journal of Hydrology, 564, 1048–1057.
  11. Ashutosh Sharma and Manish Kumar Goyal (2018) “Assessment of ecosystem resilience to hydroclimatic disturbances in India”, Global Change Biology, 24(2), e432–e441.
  12. Jhilam Sinha, Ashutosh Sharma, Manas Khan, and Manish Kumar Goyal (2018) “Assessment of the impacts of climatic variability and anthropogenic stress on hydrologic resilience to warming shifts in Peninsular India”, Scientific Reports, 8(1), 1383.
  13. Manish Kumar Goyal, Venkatesh Panchariya, Ashutosh Sharma, and Vishal Singh (2018) “Comparative assessment of SWAT model performance in two distinct catchments under various DEM scenarios of varying resolution, sources and resampling methods”, Water Resources Management, 32(2), 805–825.
  14. Manish Kumar Goyal, Ashutosh Sharma, Konstantinos Katsifarakis (2017) “Prediction of flow rate of Karstic springs using Support Vector Machines”, Hydrological Sciences Journal, 62(13), 2175-2186.
  15. Vishal Singh, Ashutosh Sharma and Manish Kumar Goyal (2017) “Projection of hydro-climatological changes over eastern Himalayan catchment by the evaluation of RegCM4 RCM and CMIP5 GCM models”, Hydrology Research, 50(1), 117-137.
  16. Manish Kumar Goyal and Ashutosh Sharma (2016) “A Fuzzy c-Means approach regionalization for analysis of meteorological drought homogeneous regions in Western India”, Natural Hazards, 84: 1831:1847.
  17. Ashutosh Sharma and Manish Kumar Goyal (2016) “A comparison of three soft computing techniques, Bayesian regression, support vector regression, and wavelet regression, for monthly rainfall forecast”, Journal of Intelligent Systems, De Gruyter, DOI: 10.1515/jisys-2016-0065.
  18. Ashutosh Sharma and Manish Kumar Goyal (2016) “Bayesian network for monthly rainfall forecast: a comparison of K2 and MCMC algorithm”, International Journal of Computers and Applications, Taylor and Francis, 38(4), 199-206.

Book Chapters

  1. Manish Kumar Goyal, Ashutosh Sharma, and Rao Y. Surampalli (2020) ”Remote Sensing and GIS Applications in Sustainability”, Chapter 28 in Sustainability : Fundamentals and Applications. Edited by : R. Y. Surampalli, T. C. Zhang, M. K. Goyal, S. K. Brar and R. D. Tyagi.
  2. Ashutosh Sharma, Manish Kumar Goyal and Deepak Jhajharia (2017) “Application of machine learning techniques in drought forecast”, Chapter 20 in Sustainable Holistic Water Resources Management in a Changing Climate, Pages 351-365, M/S Jain Brothers, New Delhi, Edited by : K. S. Raju and A. Vasan
  3. Manish Kumar Goyal and Ashutosh Sharma (2017) “Regionalization of drought prediction”, Chapter 15 in Handbook of Drought and Water Scarcity : Principles of Drought and Water Scarcity. Vol. 1, 253–278, Taylor and Francis, Edited by S. Eslamian and F. A. Eslamian.

Media highlights of the work (selected)


Selected Research Outputs