Assessment of sedimentation in Tuli – Makwe Dam using remotely sensed data

A remote sensing approach was used to assess sedimentation in Tuli-Makwe Dam in the semi-arid Mzingwane Catchment in the Matebeleland South province of Zimbabwe. The loss in reservoir gross capacity due to sediment deposition for a period of 47 years since the construction of the dam in 1966 to 2...

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Main Authors: Elvis Tawanda Mupfiga, Richard Munkwakwata, Bester Mudereri, Upenyu Naume Nyatondo
Other Authors: Department of Land and Water Resources Management, Faculty of Natural Resources Management and Agriculture, Midlands State University, P Bag 9055, Gweru, Zimbabwe
Format: research article
Language:English
Published: Academic Journals 2023
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Online Access:https://cris.library.msu.ac.zw//handle/11408/5611
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author Elvis Tawanda Mupfiga
Richard Munkwakwata
Bester Mudereri
Upenyu Naume Nyatondo
author2 Department of Land and Water Resources Management, Faculty of Natural Resources Management and Agriculture, Midlands State University, P Bag 9055, Gweru, Zimbabwe
author_facet Department of Land and Water Resources Management, Faculty of Natural Resources Management and Agriculture, Midlands State University, P Bag 9055, Gweru, Zimbabwe
Elvis Tawanda Mupfiga
Richard Munkwakwata
Bester Mudereri
Upenyu Naume Nyatondo
author_sort Elvis Tawanda Mupfiga
collection DSpace
description A remote sensing approach was used to assess sedimentation in Tuli-Makwe Dam in the semi-arid Mzingwane Catchment in the Matebeleland South province of Zimbabwe. The loss in reservoir gross capacity due to sediment deposition for a period of 47 years since the construction of the dam in 1966 to 2013 was determined to be 3.371 Mm3 which translate to 40.84 % gross capacity loss. The revised capacity of the dam is estimated at 4.883 Mm3. The annual rate of sedimentation was calculated to be 0.87 % per annum which translates to 0.0717 Mm3 per annum. The specific sediment yield over Tuli- Makwe catchment was calculated to be 110.63 tonnes / km2 / year. The result of the sedimentation analysis is typical of small reservoirs in semi-arid regions in Southern Africa. The sedimentation results for Tuli-Makwe reservoir using the remote sensing approach for 2013 are comparable with the sedimentation results from the 2012 hydrographic survey. The results further confirm the applicability of remote sensing for sedimentation analysis for small reservoirs in semi-arid regions. Assuming a uniform sedimentation rate, current trends suggest that Tuli-Makwe reservoir may be filled up in the next sixty eight years from 2013, however the useful capacity of the reservoir may be lost in much less time.
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spelling ir-11408-56112023-05-05T06:45:33Z Assessment of sedimentation in Tuli – Makwe Dam using remotely sensed data Elvis Tawanda Mupfiga Richard Munkwakwata Bester Mudereri Upenyu Naume Nyatondo Department of Land and Water Resources Management, Faculty of Natural Resources Management and Agriculture, Midlands State University, P Bag 9055, Gweru, Zimbabwe Department of Land and Water Resources Management, Faculty of Natural Resources Management and Agriculture, Midlands State University, P Bag 9055, Gweru, Zimbabwe Department of Livestock and Wildlife Management, Faculty of Natural Resources Management and Agriculture, Midlands State University, P Bag 9055, Gweru, Zimbabwe. Department of Environmental Science and Technology, Chinhoyi University of Technology, Private Bag 7724, Chinhoyi, Zimbabwe. Reservoir sedimentation Remote sensing Reservoir capacity loss A remote sensing approach was used to assess sedimentation in Tuli-Makwe Dam in the semi-arid Mzingwane Catchment in the Matebeleland South province of Zimbabwe. The loss in reservoir gross capacity due to sediment deposition for a period of 47 years since the construction of the dam in 1966 to 2013 was determined to be 3.371 Mm3 which translate to 40.84 % gross capacity loss. The revised capacity of the dam is estimated at 4.883 Mm3. The annual rate of sedimentation was calculated to be 0.87 % per annum which translates to 0.0717 Mm3 per annum. The specific sediment yield over Tuli- Makwe catchment was calculated to be 110.63 tonnes / km2 / year. The result of the sedimentation analysis is typical of small reservoirs in semi-arid regions in Southern Africa. The sedimentation results for Tuli-Makwe reservoir using the remote sensing approach for 2013 are comparable with the sedimentation results from the 2012 hydrographic survey. The results further confirm the applicability of remote sensing for sedimentation analysis for small reservoirs in semi-arid regions. Assuming a uniform sedimentation rate, current trends suggest that Tuli-Makwe reservoir may be filled up in the next sixty eight years from 2013, however the useful capacity of the reservoir may be lost in much less time. 7 12 230 238 2023-05-05T06:45:33Z 2023-05-05T06:45:33Z 2016-12 research article https://cris.library.msu.ac.zw//handle/11408/5611 10.5897/JSSEM2016.0563 en Journal of Soil Science and Environmental Management 2141-2391 open Academic Journals
spellingShingle Reservoir sedimentation
Remote sensing
Reservoir capacity loss
Elvis Tawanda Mupfiga
Richard Munkwakwata
Bester Mudereri
Upenyu Naume Nyatondo
Assessment of sedimentation in Tuli – Makwe Dam using remotely sensed data
title Assessment of sedimentation in Tuli – Makwe Dam using remotely sensed data
title_full Assessment of sedimentation in Tuli – Makwe Dam using remotely sensed data
title_fullStr Assessment of sedimentation in Tuli – Makwe Dam using remotely sensed data
title_full_unstemmed Assessment of sedimentation in Tuli – Makwe Dam using remotely sensed data
title_short Assessment of sedimentation in Tuli – Makwe Dam using remotely sensed data
title_sort assessment of sedimentation in tuli – makwe dam using remotely sensed data
topic Reservoir sedimentation
Remote sensing
Reservoir capacity loss
url https://cris.library.msu.ac.zw//handle/11408/5611
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AT richardmunkwakwata assessmentofsedimentationintulimakwedamusingremotelysenseddata
AT bestermudereri assessmentofsedimentationintulimakwedamusingremotelysenseddata
AT upenyunaumenyatondo assessmentofsedimentationintulimakwedamusingremotelysenseddata