Identification of hydrologically homogenous watersheds and climate-vegetation dynamics in the Blue Nile Basin of Ethiopia
Identification of hydrologically homogenous watersheds in the Upper Blue Nile Basin of Ethiopia is challenging due to the large number of watersheds and the lack of consistent and reliable data. Traditional methods, such as expert-based classification, are time-consuming, subjective, and often not r...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
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IWA Publishing
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/169119 |
| _version_ | 1855531571300270080 |
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| author | Mihret, Temesgen Zimale, Fasikaw A Abeyou, Abeyou D. Ayalew, Ayenew Fohrer, Nicola |
| author_browse | Abeyou, Abeyou D. Ayalew, Ayenew Fohrer, Nicola Mihret, Temesgen Zimale, Fasikaw A |
| author_facet | Mihret, Temesgen Zimale, Fasikaw A Abeyou, Abeyou D. Ayalew, Ayenew Fohrer, Nicola |
| author_sort | Mihret, Temesgen |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Identification of hydrologically homogenous watersheds in the Upper Blue Nile Basin of Ethiopia is challenging due to the large number of watersheds and the lack of consistent and reliable data. Traditional methods, such as expert-based classification, are time-consuming, subjective, and often not reproducible. Therefore, this study aims to identify homogenous gauged watersheds using hydrometeorological and remote sensing data. In this study 76 watersheds were delineated from a 30-m digital elevation model (SRTM-DEM). Twelve watershed characteristics were selected to aid the classification process. Three homogenous climate regions were identified using rainfall data from 42 stations, and for each homogeneous climate region, gauged watersheds were identified. Principal component analysis (PCA) and K-means clustering were used for classification. The PCA reduced 12 watershed characteristics into three principal components using a threshold of 80% accounted variance and eigenvalues greater than one. K-means clustering classified the 76 watersheds into nine homogenous clusters. In the classified regions, vegetation dynamics within three decades have also been analyzed. This helped identify trends in vegetation cover and its spatial and temporal dynamics. The results of the investigation will potentially be used for runoff prediction of ungauged watersheds and for water resource management models in the future. |
| format | Journal Article |
| id | CGSpace169119 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | IWA Publishing |
| publisherStr | IWA Publishing |
| record_format | dspace |
| spelling | CGSpace1691192026-01-15T02:12:39Z Identification of hydrologically homogenous watersheds and climate-vegetation dynamics in the Blue Nile Basin of Ethiopia Mihret, Temesgen Zimale, Fasikaw A Abeyou, Abeyou D. Ayalew, Ayenew Fohrer, Nicola principal component analysis blue nile basin homogeneous watersheds k-means clustering principal component remote sensing indices vegetation dynamics Identification of hydrologically homogenous watersheds in the Upper Blue Nile Basin of Ethiopia is challenging due to the large number of watersheds and the lack of consistent and reliable data. Traditional methods, such as expert-based classification, are time-consuming, subjective, and often not reproducible. Therefore, this study aims to identify homogenous gauged watersheds using hydrometeorological and remote sensing data. In this study 76 watersheds were delineated from a 30-m digital elevation model (SRTM-DEM). Twelve watershed characteristics were selected to aid the classification process. Three homogenous climate regions were identified using rainfall data from 42 stations, and for each homogeneous climate region, gauged watersheds were identified. Principal component analysis (PCA) and K-means clustering were used for classification. The PCA reduced 12 watershed characteristics into three principal components using a threshold of 80% accounted variance and eigenvalues greater than one. K-means clustering classified the 76 watersheds into nine homogenous clusters. In the classified regions, vegetation dynamics within three decades have also been analyzed. This helped identify trends in vegetation cover and its spatial and temporal dynamics. The results of the investigation will potentially be used for runoff prediction of ungauged watersheds and for water resource management models in the future. 2024-03-01 2025-01-15T15:49:37Z 2025-01-15T15:49:37Z Journal Article https://hdl.handle.net/10568/169119 en Open Access application/pdf IWA Publishing Temesgen Mihret, Fasikaw A Zimale, Abeyou Abeyou, Ayenew D. Ayalew, Nicola Fohrer. (1/3/2024). Identification of hydrologically homogenous watersheds and climate-vegetation dynamics in the Blue Nile Basin of Ethiopia. Hydrology Research, 55 (3), pp. 280-300. |
| spellingShingle | principal component analysis blue nile basin homogeneous watersheds k-means clustering principal component remote sensing indices vegetation dynamics Mihret, Temesgen Zimale, Fasikaw A Abeyou, Abeyou D. Ayalew, Ayenew Fohrer, Nicola Identification of hydrologically homogenous watersheds and climate-vegetation dynamics in the Blue Nile Basin of Ethiopia |
| title | Identification of hydrologically homogenous watersheds and climate-vegetation dynamics in the Blue Nile Basin of Ethiopia |
| title_full | Identification of hydrologically homogenous watersheds and climate-vegetation dynamics in the Blue Nile Basin of Ethiopia |
| title_fullStr | Identification of hydrologically homogenous watersheds and climate-vegetation dynamics in the Blue Nile Basin of Ethiopia |
| title_full_unstemmed | Identification of hydrologically homogenous watersheds and climate-vegetation dynamics in the Blue Nile Basin of Ethiopia |
| title_short | Identification of hydrologically homogenous watersheds and climate-vegetation dynamics in the Blue Nile Basin of Ethiopia |
| title_sort | identification of hydrologically homogenous watersheds and climate vegetation dynamics in the blue nile basin of ethiopia |
| topic | principal component analysis blue nile basin homogeneous watersheds k-means clustering principal component remote sensing indices vegetation dynamics |
| url | https://hdl.handle.net/10568/169119 |
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