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GIS-Based flood prediction of the Black Volta in a climate change scenario. case study:the Dikpe catchment in the Lawra District of the Upper West Region

A thesis submitted to the Department of Geometric Engineering, Kwame Nkrumah University of Science and Technology in partial fulfillment for the degree of Master of Science, 2013

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Main Author: Danquah, Twumasi Yaw
Format: Thesis
Language:English
Published: 2016
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access_status_str Open Access
author Danquah, Twumasi Yaw
author_browse Danquah, Twumasi Yaw
author_facet Danquah, Twumasi Yaw
author_sort Danquah, Twumasi Yaw
collection Thesis
description A thesis submitted to the Department of Geometric Engineering, Kwame Nkrumah University of Science and Technology in partial fulfillment for the degree of Master of Science, 2013
format Thesis
id oai:ir.knust.edu.gh:123456789/8811
institution KNUST (Ghana)
language English
last_indexed 2026-06-10T12:31:19.760Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana)
publishDate 2016
publishDateRange 2016
publishDateSort 2016
record_format dspace
source_str KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana)
spelling oai:ir.knust.edu.gh:123456789/8811 GIS-Based flood prediction of the Black Volta in a climate change scenario. case study:the Dikpe catchment in the Lawra District of the Upper West Region Danquah, Twumasi Yaw A thesis submitted to the Department of Geometric Engineering, Kwame Nkrumah University of Science and Technology in partial fulfillment for the degree of Master of Science, 2013 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 flood resulting from high intensity short duration rainfall, a characteristics of semi-arid and arid regions... KNUST 2016-04-15T11:39:16Z 2023-04-20T10:51:28Z 2016-04-15T11:39:16Z 2023-04-20T10:51:28Z 2013-08-15 Thesis https://ir.knust.edu.gh/handle/123456789/8811 en application/pdf
spellingShingle Danquah, Twumasi Yaw
GIS-Based flood prediction of the Black Volta in a climate change scenario. case study:the Dikpe catchment in the Lawra District of the Upper West Region
title GIS-Based flood prediction of the Black Volta in a climate change scenario. case study:the Dikpe catchment in the Lawra District of the Upper West Region
title_full GIS-Based flood prediction of the Black Volta in a climate change scenario. case study:the Dikpe catchment in the Lawra District of the Upper West Region
title_fullStr GIS-Based flood prediction of the Black Volta in a climate change scenario. case study:the Dikpe catchment in the Lawra District of the Upper West Region
title_full_unstemmed GIS-Based flood prediction of the Black Volta in a climate change scenario. case study:the Dikpe catchment in the Lawra District of the Upper West Region
title_short GIS-Based flood prediction of the Black Volta in a climate change scenario. case study:the Dikpe catchment in the Lawra District of the Upper West Region
title_sort gis based flood prediction of the black volta in a climate change scenario case study the dikpe catchment in the lawra district of the upper west region
url https://ir.knust.edu.gh/handle/123456789/8811
work_keys_str_mv AT danquahtwumasiyaw gisbasedfloodpredictionoftheblackvoltainaclimatechangescenariocasestudythedikpecatchmentinthelawradistrictoftheupperwestregion