Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Understanding the basic relationships between rainfall and runoff is vital for effective management of flood water. The Lawra District of the Upper West Region, the driest region in Ghana, has experienced periodic and devastating flash floods resulting from high intensity short duration rainfall, a characteristic of semi-arid and arid regions. However all these go waste leading to lack of water during the long dry season. Many methodologies have been applied such as using Digital Elevation Model (DEM) for hydrological modelling and watershed delineation. In this work delineated catchment area computed is used in HEC-HMS for flood volume computation. Annual rainfall for 2009 (a flood year) of 1178.38mm (46.393in) gives a runoff of 1.134m (44.652in) and a volume of 36,065,515.893m3. However a volume of 31,313,221.5m3 was obtained for August, September and October (months with heaviest rainfall) alone. Lumped Hydrological modelling with remote sensing data and GIS techniques for flood volume computation is possible using temperature, rainfall and flow rates values.
Yaw Danquah Twumasi. 2015. \u201cComputing Flood Volume of Dikpe Catchment using HEC-HMS\u201d. Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 15 (GJHSS Volume 15 Issue B2): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 103
Country: Ghana
Subject: Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management
Authors: Yaw Danquah Twumasi, Rev. John Ayer, Edward Mathew Osei Jnr. (PhD/Dr. count: 0)
View Count (all-time): 137
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Publish Date: 2015 04, Wed
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Understanding the basic relationships between rainfall and runoff is vital for effective management of flood water. The Lawra District of the Upper West Region, the driest region in Ghana, has experienced periodic and devastating flash floods resulting from high intensity short duration rainfall, a characteristic of semi-arid and arid regions. However all these go waste leading to lack of water during the long dry season. Many methodologies have been applied such as using Digital Elevation Model (DEM) for hydrological modelling and watershed delineation. In this work delineated catchment area computed is used in HEC-HMS for flood volume computation. Annual rainfall for 2009 (a flood year) of 1178.38mm (46.393in) gives a runoff of 1.134m (44.652in) and a volume of 36,065,515.893m3. However a volume of 31,313,221.5m3 was obtained for August, September and October (months with heaviest rainfall) alone. Lumped Hydrological modelling with remote sensing data and GIS techniques for flood volume computation is possible using temperature, rainfall and flow rates values.
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