Effects of land use land cover change on streamflow of Akaki Catchment, Addis Ababa, Ethiopia
Evaluation of the hydrological impact of urbanization-induced land use land cover (LULC) changes for medium to large catchments is still an important research topic due to the lack of evidence to conclude about how local changes translate to impacts across scales. This study aims to provide evidence...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/130190 |
| _version_ | 1855530810068697088 |
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| author | Negash, E. D. Asfaw, Wegayehu Walsh, C. L. Mengistie, G. K. Haile, Alemseged Tamiru |
| author_browse | Asfaw, Wegayehu Haile, Alemseged Tamiru Mengistie, G. K. Negash, E. D. Walsh, C. L. |
| author_facet | Negash, E. D. Asfaw, Wegayehu Walsh, C. L. Mengistie, G. K. Haile, Alemseged Tamiru |
| author_sort | Negash, E. D. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Evaluation of the hydrological impact of urbanization-induced land use land cover (LULC) changes for medium to large catchments is still an important research topic due to the lack of evidence to conclude about how local changes translate to impacts across scales. This study aims to provide evidence on the effects of LULC change on the streamflow of the Akaki catchment that hosts Addis Ababa, the capital city of Ethiopia. Since the comparative performance of classification algorithms is poorly understood, we compared the performance of one parametric and five non-parametric machine learning methods for LULC mapping using Landsat imageries. To investigate the effect of LULC changes on streamflow, a semi-distributed HEC-HMS model was calibrated and validated using daily discharge data at multiple sites. Findings of this study showed that: (i) the accuracy of classification and regression tree (CART) was superior to the other classifiers, (ii) from 1990 to 2020, urban and forest cover increased at the expense of agricultural and bare land, (iii) the performance of the HEC-HMS model was acceptable at all stations during both the calibration and validation periods, and (iv) the mean annual and main rainy seasonal streamflow of the catchment experienced significant increases due to LULC change but the simulated streamflow changes highly varied with the type of LULC classifier. This study contributes to the limited evidence on how catchments, with rapidly developing cities are prone to hydrological regime changes that need to be recognized, understood and quantified, and incorporated into urban planning and development. |
| format | Journal Article |
| id | CGSpace130190 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1301902025-12-08T10:11:39Z Effects of land use land cover change on streamflow of Akaki Catchment, Addis Ababa, Ethiopia Negash, E. D. Asfaw, Wegayehu Walsh, C. L. Mengistie, G. K. Haile, Alemseged Tamiru land use change land cover change catchment areas stream flow urbanization rivers reservoirs hydrological factors machine learning models Evaluation of the hydrological impact of urbanization-induced land use land cover (LULC) changes for medium to large catchments is still an important research topic due to the lack of evidence to conclude about how local changes translate to impacts across scales. This study aims to provide evidence on the effects of LULC change on the streamflow of the Akaki catchment that hosts Addis Ababa, the capital city of Ethiopia. Since the comparative performance of classification algorithms is poorly understood, we compared the performance of one parametric and five non-parametric machine learning methods for LULC mapping using Landsat imageries. To investigate the effect of LULC changes on streamflow, a semi-distributed HEC-HMS model was calibrated and validated using daily discharge data at multiple sites. Findings of this study showed that: (i) the accuracy of classification and regression tree (CART) was superior to the other classifiers, (ii) from 1990 to 2020, urban and forest cover increased at the expense of agricultural and bare land, (iii) the performance of the HEC-HMS model was acceptable at all stations during both the calibration and validation periods, and (iv) the mean annual and main rainy seasonal streamflow of the catchment experienced significant increases due to LULC change but the simulated streamflow changes highly varied with the type of LULC classifier. This study contributes to the limited evidence on how catchments, with rapidly developing cities are prone to hydrological regime changes that need to be recognized, understood and quantified, and incorporated into urban planning and development. 2023-06 2023-04-30T23:19:10Z 2023-04-30T23:19:10Z Journal Article https://hdl.handle.net/10568/130190 en Open Access Springer Negash, E. D.; Asfaw, Wegayehu; Walsh, C. L.; Mengistie, G. K.; Haile, Alemseged Tamiru. 2023. Effects of land use land cover change on streamflow of Akaki Catchment, Addis Ababa, Ethiopia. Sustainable Water Resources Management, 9(3):78. [doi: https://doi.org/10.1007/s40899-023-00831-4] |
| spellingShingle | land use change land cover change catchment areas stream flow urbanization rivers reservoirs hydrological factors machine learning models Negash, E. D. Asfaw, Wegayehu Walsh, C. L. Mengistie, G. K. Haile, Alemseged Tamiru Effects of land use land cover change on streamflow of Akaki Catchment, Addis Ababa, Ethiopia |
| title | Effects of land use land cover change on streamflow of Akaki Catchment, Addis Ababa, Ethiopia |
| title_full | Effects of land use land cover change on streamflow of Akaki Catchment, Addis Ababa, Ethiopia |
| title_fullStr | Effects of land use land cover change on streamflow of Akaki Catchment, Addis Ababa, Ethiopia |
| title_full_unstemmed | Effects of land use land cover change on streamflow of Akaki Catchment, Addis Ababa, Ethiopia |
| title_short | Effects of land use land cover change on streamflow of Akaki Catchment, Addis Ababa, Ethiopia |
| title_sort | effects of land use land cover change on streamflow of akaki catchment addis ababa ethiopia |
| topic | land use change land cover change catchment areas stream flow urbanization rivers reservoirs hydrological factors machine learning models |
| url | https://hdl.handle.net/10568/130190 |
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