“Through
my research titled
‘Assessing Drought Propagation from Meteorological to Hydrological Drought
in Contrasting Climatic Zones in Sri Lanka: Past and Future,’ I explore
how droughts transition across stages and affect water systems in diverse
climates. The findings aim to advance global understanding of drought dynamics
and contribute to more effective water management and climate adaptation
strategies.”
“Through
my research titled
‘Assessing Drought Propagation from Meteorological to Hydrological Drought
in Contrasting Climatic Zones in Sri Lanka: Past and Future,’ I explore
how droughts transition across stages and affect water systems in diverse
climates. The findings aim to advance global understanding of drought dynamics
and contribute to more effective water management and climate adaptation
strategies.”
SAF Scholar, Bhutan
“My study, ‘Projecting Chubda
Glacier Lake Outburst Flood Risk in the Downstream Chamkhar Chhu Basin,
Bhutan,’ examines the potential threats posed by glacial hazards to
downstream communities. This research is intended to inform early warning
systems and climate-resilient planning in high-risk mountainous regions.”
“Driven by the need to understand climate
extremes in sensitive environments, my research, ‘Assessing Drought-to-Flood
Transitions in a Snow-fed Himalayan Basin: Attributed to Snowmelt and
Precipitation Variability Under Climate Change’, focuses on how shifting
climate patterns influence the occurrence of droughts followed by floods. The
study aims to inform early warning systems and promote adaptive water resource
planning in vulnerable mountain ecosystems.”
“With growing concerns over groundwater depletion and climate uncertainty, my research, ‘Integrating Remote Sensing and Hybrid Machine Learning for Developing a Gridded Groundwater Level Dataset for Different Climate Scenarios in Sri Lanka’, seeks to create high-resolution groundwater datasets using advanced data-driven techniques. This work aims to enhance groundwater monitoring and support sustainable water management under future climate scenarios.”
“With increasing challenges posed by climate change, my research, ‘Developing a High-Resolution Gridded Precipitation Dataset for Sri Lanka Based on Grid Sensitivity to Streamflow Estimations under Climate Vulnerability’, focuses on generating detailed precipitation datasets to improve streamflow predictions. This study aims to support more accurate hydrological modelling and strengthen climate-resilient water resource planning”.
“With the challenge of limited gauging data in many catchments, my research, ‘Integrating Remote Sensing and Supervised Machine Learning Techniques for Runoff Prediction in Ungauged Catchments through Spatiotemporal Catchment Similarity Analysis’, aims to develop accurate runoff predictions by leveraging remote sensing data and machine learning. This work supports improved hydrological forecasting and water resource management in data-scarce regions.”
“My research, ‘Dynamic Optimization of Water Allocation for Hydropower and Agricultural Productivity in a Sri Lankan Reservoir System under Future Climate Variability,’ focuses on enhancing the efficiency of water resource use by balancing hydropower generation and agricultural demands. It aims to support sustainable reservoir operation strategies in the face of climate uncertainty”.
Copyright © 2025 UNESCO Madanjeet Singh Centre for South Asia Water Management
WordPress Theme by WPZOOM