ICT-Based Identification and Characterisation of Small Reservoirs in the Limpopo River Basin in Zimbabwe

Semi-arid conditions that prevail in the Limpopo basin in general and Zimbabwe in particular emphasise the importance of water storage. In this respect small reservoirs play a critical role in sustaining rural livelihoods. However, the management of small reservoirs in Zimbabwe is negatively affec...

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Main Authors: Mulengera, Patrick-M. Bahal’okwibale, Manzungu, Emmanuel, Kileshye Onema, Jean-Marie
Format: Otro
Language:Inglés
Published: Canadian Center of Science and Education 2012
Online Access:https://hdl.handle.net/10568/21588
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author Mulengera, Patrick-M. Bahal’okwibale
Manzungu, Emmanuel
Kileshye Onema, Jean-Marie
author_browse Kileshye Onema, Jean-Marie
Manzungu, Emmanuel
Mulengera, Patrick-M. Bahal’okwibale
author_facet Mulengera, Patrick-M. Bahal’okwibale
Manzungu, Emmanuel
Kileshye Onema, Jean-Marie
author_sort Mulengera, Patrick-M. Bahal’okwibale
collection Repository of Agricultural Research Outputs (CGSpace)
description Semi-arid conditions that prevail in the Limpopo basin in general and Zimbabwe in particular emphasise the importance of water storage. In this respect small reservoirs play a critical role in sustaining rural livelihoods. However, the management of small reservoirs in Zimbabwe is negatively affected by missing or poorly coordinated information relating to such key attributes as location, capacity, and environmental condition. A study was undertaken to identify and characterise small reservoirs in the Limpopo river basin in Zimbabwe. The objective of the study was to identify small reservoirs and characterise them in terms of capacity, and chlorophyll-a and turbidity indices, as proxies for measuring environmental degradation of catchments in which these are located. The study was carried out in Gwanda district that is located in South West Zimbabwe. Identification was done by processing Landsat TM 4-5 images of February-March and April-May 2009, using Geographical Information Systems. Time and cost considerations were the main factors in the selection of the technology and the images that were used. Field inspections were used to validate selected parameters from February to April 2011. A total of 256 small reservoirs, with an estimated total capacity of 17 million m3, were identified. The capacities of reservoirs were found to vary widely from around 4,000 m3 to over 650,000 m3. About half (46%) of the small reservoirs were found to be dry by May, just two months after the end of the wet season. Seven reservoirs, which represented 2% of the total number and 3% of the total capacity of reservoirs, were characterised as highly turbid. Twenty-three reservoirs, representing 9% of the total number and 3% of the total capacity of reservoirs, showed signs of environmental degradation in the catchments. The smallest reservoirs were found to be most vulnerable to environmental degradation. The study concluded that Information and Communication Technologies (ICTs) can successfully be used to identify and characterise small reservoirs in the data-poor Limpopo basin in Zimbabwe, and can be used by decentralised water institutions and River Basin Organisations (RBOs) to better manage available water resources for the benefit of rural communities found therein.
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spelling CGSpace215882024-01-23T12:04:41Z ICT-Based Identification and Characterisation of Small Reservoirs in the Limpopo River Basin in Zimbabwe Mulengera, Patrick-M. Bahal’okwibale Manzungu, Emmanuel Kileshye Onema, Jean-Marie Semi-arid conditions that prevail in the Limpopo basin in general and Zimbabwe in particular emphasise the importance of water storage. In this respect small reservoirs play a critical role in sustaining rural livelihoods. However, the management of small reservoirs in Zimbabwe is negatively affected by missing or poorly coordinated information relating to such key attributes as location, capacity, and environmental condition. A study was undertaken to identify and characterise small reservoirs in the Limpopo river basin in Zimbabwe. The objective of the study was to identify small reservoirs and characterise them in terms of capacity, and chlorophyll-a and turbidity indices, as proxies for measuring environmental degradation of catchments in which these are located. The study was carried out in Gwanda district that is located in South West Zimbabwe. Identification was done by processing Landsat TM 4-5 images of February-March and April-May 2009, using Geographical Information Systems. Time and cost considerations were the main factors in the selection of the technology and the images that were used. Field inspections were used to validate selected parameters from February to April 2011. A total of 256 small reservoirs, with an estimated total capacity of 17 million m3, were identified. The capacities of reservoirs were found to vary widely from around 4,000 m3 to over 650,000 m3. About half (46%) of the small reservoirs were found to be dry by May, just two months after the end of the wet season. Seven reservoirs, which represented 2% of the total number and 3% of the total capacity of reservoirs, were characterised as highly turbid. Twenty-three reservoirs, representing 9% of the total number and 3% of the total capacity of reservoirs, showed signs of environmental degradation in the catchments. The smallest reservoirs were found to be most vulnerable to environmental degradation. The study concluded that Information and Communication Technologies (ICTs) can successfully be used to identify and characterise small reservoirs in the data-poor Limpopo basin in Zimbabwe, and can be used by decentralised water institutions and River Basin Organisations (RBOs) to better manage available water resources for the benefit of rural communities found therein. 2012-08-15 2012-08-17T04:17:05Z 2012-08-17T04:17:05Z Other https://hdl.handle.net/10568/21588 en Open Access application/pdf Canadian Center of Science and Education Patrick-M. Bahal’okwibale Mulengera1, 2, Emmanuel Manzungu3 & Jean Marie Kileshye Onema Department of Civil Engineering, University of Zimbabwe, Harare, Zimbabwe Section des Sciences Exactes, Institut Supérieur Pédagogique de Walungu, Democratic Republic of the Congo Department of Soil Science and Agricultural Engineering, University of Zimbabwe, Harare, Zimbabwe WaterNet, Harare, Zimbabwe
spellingShingle Mulengera, Patrick-M. Bahal’okwibale
Manzungu, Emmanuel
Kileshye Onema, Jean-Marie
ICT-Based Identification and Characterisation of Small Reservoirs in the Limpopo River Basin in Zimbabwe
title ICT-Based Identification and Characterisation of Small Reservoirs in the Limpopo River Basin in Zimbabwe
title_full ICT-Based Identification and Characterisation of Small Reservoirs in the Limpopo River Basin in Zimbabwe
title_fullStr ICT-Based Identification and Characterisation of Small Reservoirs in the Limpopo River Basin in Zimbabwe
title_full_unstemmed ICT-Based Identification and Characterisation of Small Reservoirs in the Limpopo River Basin in Zimbabwe
title_short ICT-Based Identification and Characterisation of Small Reservoirs in the Limpopo River Basin in Zimbabwe
title_sort ict based identification and characterisation of small reservoirs in the limpopo river basin in zimbabwe
url https://hdl.handle.net/10568/21588
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