"Publication Alert! || Land and Atmospheric Drivers of the 2023 Flood in India"
Research Interests
Multi-hydrological modelling
Hydrology & Climate change
Compound and extreme events
Remote Sensing and GIS applications
Technical Expertise
Research work & Projects
Project Name: Multimodel Intercomparison Project.
Under the Supervision of Prof. Vimal Mishra.
We used 0.25° gridded meteorological observations and five hydrological models (i.e. VIC, CLM, Noah-MP, H08, and CWatM) to construct water budget estimates and model inter-comparison in the Indian sub-continental river basins for the 1951–2016 period. Major findings are: (a) Multimodal ensemble mean performs better than the individual models. (b) Transboundary river basins (Brahmaputra, Ganga, and Indus) have the highest water yield. (c) West Coast, Brahmaputra, and Brahmani are the three wettest river basins.
Project Name: Scatterometer utilization project. (SAC-ISRO).
Under the Supervision of Dr P. K Gupta and Rohit Pradhan.
We developed a model to estimate river water level using Scatterometer datasets at multiple locations in the Brahmaputra river basin. We also performed a sensitivity analysis of C and Ku band Scatterometers for river water level estimation.
Project Name: National Wetland Inventory and Assessment (NWIA-II):
Under the SARITA Project (EPSA- SAC - ISRO)
We developed a semi-automated GIS-based model to map, identify and analyse wetlands in Indian regions. We simply need to give pre- and post-monsoon B, G, R, and NIR bands from any Satellite MSS product (such as LISS-3 (Resourcesat), Landsat, and Sentinel). Wetland boundaries, wetland vegetation, turbidity for pre and post-monsoon, maximum wetland boundary, wetland points, total wetland vegetation, and wetland types will be returned in the output. It will also automatically update the previous wetland database if one is provided.
Project Name: DST Climate Change:
Under the Supervision of Prof. Vimal Mishra.
Project Name: B.Tech. Thesis
Assessment of runoff pattern and relationship to sediment yield of Bhagirathi–Alaknanda river basin using geospatial techniques.
We analysed the runoff pattern and its correlation with sediment yield for the Bhagirathi-Alaknanda river basin. Using geospatial techniques, we explored the intricate dynamics of water flow and sediment transport. Additionally, our study included a vulnerability assessment for hydropower projects, revealing that several projects face significant risk due to excessive sediment yields in the near future. This research contributes valuable insights for sustainable water resource management and informed regional decision-making.