A5013639633- Climate variability and models
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Hydrology and Watershed Management Studies
- Solar Radiation and Photovoltaics
- Hydrological Forecasting Using AI
- Water resources management and optimization
- Water Systems and Optimization
- Remote Sensing in Agriculture
- Geotechnical Engineering and Underground Structures
- Climate Change and Health Impacts
- Urban Stormwater Management Solutions
Indian Institute of Technology Bombay
2022-2023
Indian Institute of Remote Sensing
2018-2020
Abstract In March 2022, large parts over the north Indian plains including breadbasket region, and southern Pakistan began experiencing prolonged heat, which continued into May. The event was exacerbated due to prevailing dry conditions in resulting devastating consequences for public health agriculture. Using attribution methods, we analyse role of human-induced climate change altering chances such an event. To capture extent impacts, choose March–April average daily maximum temperature...
Abstract. Remote sensing and hydrological models are one of the foremost tools for rapid comprehensive study flood hazards disasters in any parts world. Current is focused on severe 2018 Kerala flood, done using various remote data, geospatial combination hydrological/hydrodynamic/topographical models. Flood mapping with pre post floods datasets. For pre-Flood analysis, Normalized Difference Water Index (NDWI) map was prepared Google Earth Engine (GEE), Sentinel-2 images period Feb. 2017 to...
Abstract The extreme precipitation during August 2018 in Kerala, India was catastrophic, triggering one of the worst floods history. There is growing evidence human-induced climate change driving hydroclimatic extremes across globe. However, whether and to what degree flooding event Kerala influenced by has yet be fully understood. To this end, we present first formal attribution analysis event, using probabilistic (PEA) framework. Three methods (i) Historical HistoricalNat runs from CMIP6...
Abstract. Capacity studies of reservoirs are important to evaluate sedimentation and optimize reservoir operation schedule based on realistic assessment available storage. study at regular interval provide information about rate pattern between various levels, loss capacity due sedimentation, remaining time span reservoir, etc. In the present study, evaluation revised Gobind Sagar in Bilaspur district, Himachal Pradesh, India has been done using Google Earth Engine. Landsat 8 (OLI) data for...
Abstract. The design and analysis of potable water distribution pipe network is one the major task while planning any new city. Even finding effectiveness detecting anomaly in existing line a very important to cut down losses make all time efficient. This study makes an attempt evaluate Indian Institute Remote Sensing (IIRS) be developed under master plan 2022. development induces extra demand 67634 litres per day (lpd). Digital Globe image from Google Earth Pro used for creating base layer...
Abstract. Era-Interim (ECMWF Re- analysis) is a global reanalysis atmospheric product which being continuously updated in real time since 1979. It also termed as third generation product. The Era–Interim gives meteorological products like precipitation, temperature, etc. In the present work, 3-hourly for entire India compared with gridded data provided by IMD period 1979–2013 and APHRODITE 1979–2007, respectively. comparison done on seasonal basis seasons are taken based pattern of rainfall,...
<p>The role of global warming and climate change in altering the likelihood extreme weather events is becoming increasingly evident. Event attribution refers to collection frameworks that use observed data model simulations for quantifying contribution human-induced (anthropogenic) changing event probability. In this study, we present a multi-method analysis catastrophic precipitation flooding Kerala, India August 2018, resulted widespread destruction loss lives. Two methods-...