A5074535896- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Hydrology and Sediment Transport Processes
- Soil erosion and sediment transport
- Hydrology and Drought Analysis
- Tropical and Extratropical Cyclones Research
- Groundwater and Watershed Analysis
- Geophysics and Gravity Measurements
- Land Use and Ecosystem Services
- Disaster Management and Resilience
- Fish Ecology and Management Studies
- Fish biology, ecology, and behavior
- Water Quality Monitoring Technologies
- Landslides and related hazards
- Oceanographic and Atmospheric Processes
- Species Distribution and Climate Change
- Hydrological Forecasting Using AI
- Underwater Acoustics Research
- Infrastructure Resilience and Vulnerability Analysis
University of Leeds
2019-2024
Abstract Over the last two decades, several data sets have been developed to assess flood risk at global scale. In recent years, some of these become detailed enough be informative national scales. The use nationally could enormous benefits in areas lacking existing information and allow better management decisions disaster response. this study, we evaluate usefulness for assessing five countries: Colombia, England, Ethiopia, India, Malaysia. National assessments are carried out each...
Abstract Large river hydrodynamics studies inform global and regional issues pertaining to biogeochemical cycling, ecology, water availability, flood risk. Such rely increasingly on satellite measurements, but these are limited by resolution, coverage, uncertainty their inability directly measure bathymetry or discharge. We obtain new in situ data covering 650 km of the Congo's main stem, including elusive discharge measurements that complement space‐borne sets. Our key findings relate our...
Identifying and understanding the value of citizen science to improve flood modeling is importance risk management. However, there are few studies that explore data, with most focusing on evaluating accuracy data. This research articulates added data in studies. During events, scientists measured river water levels at selected sites along a main reach Big Akaki River Addis Ababa, Ethiopia. They also provided information estimate discharge ungauged tributaries. The acquired was used force...
Introduction: Cities located in lower income countries are global flood risk hotspots. Assessment and management of these risks forms a key part climate adaptation efforts. City scale assessments necessitate hazard information, which is challenging to obtain localities because data quality/scarcity issues, the complex multi-source nature urban dynamics. A growing array datasets provide an attractive means closing gaps, but their suitability for this context remains relatively unknown....
Abstract Small Island Developing States (SIDS) are acknowledged as particularly vulnerable to extreme climate events; however, the realities for transport infrastructure and bridges still poorly studied. Assessing in this context can be challenging due data scarcity, a lack of local standards, uncertainty change. While designed connect networks, they also carry energy, water, communication making them critical cascading failure points worthy special attention terms risk assessment resilience...
Identifying and understanding the value of citizen science to improve flood modeling is importance risk management. However, there are few studies that explore data, with most focusing on evaluating accuracy data collected. This research articulates added in modelling studies. During events, scientists recorded river water levels at multiple points along a reach Big Akaki River Addis Ababa, Ethiopia. The were engaged generating flows ungauged tributaries. acquired was used force...
Over the last two decades, several datasets have been developed to assess flood risk at global scale. In recent years, some of these become detailed enough be informative national scales. The use nationally could enormous benefits in areas lacking existing information and allow better management decisions disaster response. this study, we evaluate usefulness data for assessing five countries: Colombia, England, Ethiopia, India, Malaysia. National assessments are carried out each countries...
A reach-scale high resolution digital elevation model (DEM) of the Congo’s main stem bathymetry is presented. The Bathymetry DEM covers a multichannel reach situated in Cuvette Centrale, and developed from series in-situ measurements bathymetry, water surface discharge that were obtained during CRuHM fieldtrip summer 2017. stem’s complex network channel threads requires modelling methodology capable intelligently interpolating raw measurements. must also estimate significant portion since it...
<p>Landslide dams occur when the debris from a landslide blocks, fully or partially, river channel floodplain. The event often occurs during periods of heavy, intense rainfall, for example hurricanes and tropical storms. This means that blocked is usually at high flow dam occurs, resulting in large volumes water building up behind dam. Due to unconsolidated nature material blocking it, it does not take long fail, releasing an enormous pulse flood down system. can cause damage...