GIS-Based Flood Prediction of Black Volta in a Climate Change Scenario - Twumasi, Yaw Danquah
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Increasing temperatures in the Lawra District of the Upper West Region (the driest region in Ghana) has caused devastating flash floods resulting from high intensity short duration rainfalls. These are characterized by annual mean rainfall intensities above 1000mm. However using Digital Elevation Model (DEM) for Hydrological Modelling and watershed delineation with remote sensing data and GIS techniques, for flood forecasting, requires an understanding of the basic relationships between rainfall and runoff for effective management of flood water. Eight Statistical tools; Time Series, Trend…mehr

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Produktbeschreibung
Increasing temperatures in the Lawra District of the Upper West Region (the driest region in Ghana) has caused devastating flash floods resulting from high intensity short duration rainfalls. These are characterized by annual mean rainfall intensities above 1000mm. However using Digital Elevation Model (DEM) for Hydrological Modelling and watershed delineation with remote sensing data and GIS techniques, for flood forecasting, requires an understanding of the basic relationships between rainfall and runoff for effective management of flood water. Eight Statistical tools; Time Series, Trend Analysis, Moving Average, Weighted Moving Average, Exponential Smoothing, Percentage Growth and Seasonality, are statistical analyses conducted on 31 years of data each on temperature, rainfall and flow rates for their correlation and variability, in predicting these floods in an ever changing climate scenarios on the Black Volta.
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Autorenporträt
Lecturer in the Civil Engineering Department of Wa Polytechnic, Ghana. Born on 27th July 1978 to Isaac Nsiah-Twumasi and Cecilia Nsiah Twumasi. Married to Lordlina Danquah Twumasi and blessed with a daughter. Did my BSc and MSc in Geoditic and Geomatic Engineering respectively at KNUST, with keen interest in Climate and Environment.