A5023317895- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrological Forecasting Using AI
- Climate variability and models
- Water resources management and optimization
- Precipitation Measurement and Analysis
- Hydrology and Drought Analysis
- Meteorological Phenomena and Simulations
- Plant Water Relations and Carbon Dynamics
- Computational Physics and Python Applications
- Water Governance and Infrastructure
- Energy Load and Power Forecasting
- Water-Energy-Food Nexus Studies
- Smart Agriculture and AI
- Artificial Intelligence and Decision Support Systems
- Cryospheric studies and observations
- Irrigation Practices and Water Management
- Advanced Computational Techniques and Applications
- Climate change impacts on agriculture
- Climate Change and Health Impacts
- Transboundary Water Resource Management
University of California, Merced
2023-2025
Indian Institute of Technology Bombay
2017-2024
Drought is a natural hazard with severe socio-economic consequences. For agro-based country like India, this may further deteriorate the circumstances, thereby urging for precise quantification. This paper about application of meteorological drought indices namely Standardized Precipitation Index (SPI), Effective (EDI) and Percent Normal (PNPI) over Marathwada division, Maharashtra, India. The 3-hourly (0.25° × 0.25°) gridded rainfall data collected from Multi-Source Weighted-Ensemble...
Abstract The commonly used precipitation-based drought indices typically rely on probability distribution functions that can be suitable when the data exhibit minimal discrepancies. However, in arid and semi-arid regions, precipitation often display significant discrepancies due to highly irregular rainfall patterns. Consequently, imposing any distributions for analysis such regions may not effective. To address this issue, study employs a novel index called Discrepancy Precipitation Index...
ABSTRACT Headwater watersheds and forests play a crucial role in ensuring water security for the western United States. Reducing forest biomass from current overgrown can mitigate severity impact of wildfires offer additional competing ecohydrological benefits. A reduction canopy interception transpiration following treatments lead to an increase available remaining trees runoff. However, management on balance be highly variable due differences climate, topography, location vegetation. In...
Estimation of precipitation is necessary for optimum utilization water resources and their appropriate management. The economy India being heavily dependent on agriculture becomes vulnerable due to lack adequate irrigation facilities. In this paper, a multiple linear regression model has been developed reckon annual over Cuttack district, Odisha, India. forecasts year considering data its three preceding years. testing was performed century-long dataset i.e. 1904-2002. Assuming the intercept...
ABSTRACT The objective of this study was the critical challenge accurately predicting water balance components in Upper Bhima River basin, which is also facing significant challenges due to climate change. A major faced studies inadequacy existing hydrological models account for effects storage structures. utilized variable infiltration capacity–routing application parallel computation discharge model with a newly developed structure scheme simulate historical (1999–2010) and future...
Abstract Recently, physically-based hydrological models have been gaining much popularity in various activities of water resources planning and management, such as assessment basin availability, floods, droughts, reservoir operation. Every model contains some parameters that must be tuned to the catchment being studied obtain reliable estimates from model. This study evaluated performance different evolutionary algorithms, namely genetic algorithm (GA), shuffled complex evolution (SCE),...
Accurate precipitation forecasting with sufficient lead time is a prerequisite for developing robust flood warning system (FWS), which very challenging, particularly in countries like India. This study evaluates the utility of TIGGE multimodel ensemble meteorological forecasts over Upper Bhima River basin and investigated hydrological through calibrated (VIC-RAPID) model followed by post-processing streamflow Bayesian average (BMA) approach. Results show that quality precipitation, simulated...
Reliable estimation of streamflow is crucial for developing effective water resources management strategies. However, there are several watersheds in India which ungauged or contain inconsistent data archives rainfall and discharge products, particularly small at daily scale. This paper investigates the efficacy remote sensing precisely Tropical Rainfall Measuring Mission (TRMM) on scale over upper Tungabhadra sub-basin, a tropical catchment India. precipitation dataset was corrected with...
In this study, the performance and hydrological utility of IMERG rainfall estimates over Upper Bhima River basin, India, are comprehensively evaluated using a VIC-RAPID hydrologic model. Moreover, bias-correction scheme based on long short-term memory (LSTM) neural network method is proposed, results compared with two commonly used techniques. Results indicated that spatial distribution observed well captured by IMERG; however, it showed general tendency overestimation, especially daily...