Eco-Hydro-Climate (EHC) Research Group
The Eco-Hydro-Climate (EHC) Research Group at the Department of Hydrology focuses on understanding the interactions of ecosystems, water and climate under changing climate and human influences.
Ecohydroclimatology is an emerging frontier in earth system science that focuses on the interactions of water, climate, and ecosystems, as well as their implications to society. As anthropogenic climate change continues to warm Earth’s surface, the quantity of water stored as snow in our mountain reservoirs is decreasing rapidly. At the same time, disturbance events such as wildfire, drought, and forest harvest are increasing. To promote a more resilient future in natural resource management, it is critical we understand the mechanisms, processes, and interactions between water, climate, ecosystems, and society.
Research Areas
- Ecosytem - Water - Climate Interactions
- Eco-hydrological resilience analysis
- Hydrological modelling
- Climate change impact assessment
- Machine learning/AI
- Hydroclimatic extremes (droughts, floods)
Team
Lead
Dr. Ashutosh Sharma
ResearchGate - Ashutosh Sharma’s Group
PhD Students
| Name | Topic |
|---|---|
| Vijaykumar Bejagam (PMRF) | Ecosystem and Hydrological Modeling |
| Nikunj Mangukiya | Machine learning and flood forecasting |
| Pooja Patle | Watershed management |
M Tech Students
Present
| Name | Topic |
|---|---|
| Tapobeeva Sahoo | Compound Extremes |
| Akriti Singh | Ecosystem Functioning and Groundwater |
| Siddig Berma (co-supervisor) | Hydrological modeling |
Graduated
| Name | Topic | Year |
|---|---|---|
| Apurv Vishwakarma | Climate Change Assessment | 2022 |
| Vivek Kumar (co-supervisor) | Hydrological modeling (SWAT) | 2022 |
Research Publications
- Vijaykumar Bejagam, Ashutosh Sharma (2022) Impact of climatic changes and anthropogenic activities on ecosystem net primary productivity in India during 2001–2019, Ecological Informatics. DOI: https://doi.org/10.1016/j.ecoinf.2022.101732
- 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.