Hydrologic modeling

Hydrologic modeling is used to answer environmental transport questions where water excess, scarcity, or dissolved or solid content is of primary importance (Selley and Plimer, 2005).

Sources

Selley, R. C., Cocks, L. R. M., & Plimer, I. R. (2005). Encyclopedia of geology. Elsevier Academic. https://www.sciencedirect.com/referencework/9780081029091/encyclopedia-…

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On a sweltering summer day along the banks of the Mekong River, villagers in Laos watched nervously as water levels fell dramatically. Upstream, hydropower dams in China had altered the river’s flow, leaving communities downstream scrambling for water to irrigate crops, sustain fisheries, and meet drinking needs. This scene is far from unique. Across the world, transboundary rivers are flashpoints of tension, where one country’s energy or agricultural ambitions can ripple downstream, affecting millions of people (UNESCO 2023). Global water stress is escalating at an unprecedented pace.

Interview with Felix Kasiti, PhD Researcher, University of Stirling

I am currently a PhD candidate at the University of Stirling in Scotland, funded by the Natural Environmental Research Council through the IAPETUS DTP. My research focuses on using SAR Polarimetry to map and monitor floods in Scotland and Guyana. Additionally, I use ground radar to understand signal interactions under simulated flooding conditions, aiming to improve flood detection. My goal is to enhance the management and protection of floodplains and wetlands through advanced radar satellite technology and field-tested methodologies. Before my PhD, I worked as an assistant hydrologist at the SERVIR Eastern and Southern Africa project at the Regional Centre for Mapping of Resources for Development in Nairobi, Kenya, from 2019 to 2022. In this position, I led the development of an operational hydrological model that improved access to hydrological data for ungauged rivers in East Africa. I was also the lead hydrologist in the implementation of a flood early warning system in Malawi, integrating ground measurements and satellite-derived water level data to issue flood forecasts.

Interview with Felix Kasiti, PhD Researcher, University of Stirling

I am currently a PhD candidate at the University of Stirling in Scotland, funded by the Natural Environmental Research Council through the IAPETUS DTP. My research focuses on using SAR Polarimetry to map and monitor floods in Scotland and Guyana. Additionally, I use ground radar to understand signal interactions under simulated flooding conditions, aiming to improve flood detection. My goal is to enhance the management and protection of floodplains and wetlands through advanced radar satellite technology and field-tested methodologies. Before my PhD, I worked as an assistant hydrologist at the SERVIR Eastern and Southern Africa project at the Regional Centre for Mapping of Resources for Development in Nairobi, Kenya, from 2019 to 2022. In this position, I led the development of an operational hydrological model that improved access to hydrological data for ungauged rivers in East Africa. I was also the lead hydrologist in the implementation of a flood early warning system in Malawi, integrating ground measurements and satellite-derived water level data to issue flood forecasts.

Capacity Building and Training Material

Operational Systems of the SASWE

The Operational Systems of SASWE Research Group website is an online application and decision-support resource showcasing the operational tools and modelling systems developed by the SASWE Research Group at the University of Washington. It features a portfolio of satellite-based operational systems and decision support platforms designed for water resources assessment, reservoir and dam management, river basin forecasting, irrigation advisory, and hydrological monitoring.

Operational Systems of the SASWE

The Operational Systems of SASWE Research Group website is an online application and decision-support resource showcasing the operational tools and modelling systems developed by the SASWE Research Group at the University of Washington. It features a portfolio of satellite-based operational systems and decision support platforms designed for water resources assessment, reservoir and dam management, river basin forecasting, irrigation advisory, and hydrological monitoring.

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