Surface water availability in ungauged catchments of Sub-Saharan Africa: A case study from Luwombwa sub-catchment, Zambia
Gespeichert in:
| Titel: | Surface water availability in ungauged catchments of Sub-Saharan Africa: A case study from Luwombwa sub-catchment, Zambia |
|---|---|
| Autoren: | Dickson Mwelwa, Tewodros M. Tena, Alick Nguvulu, Phenny Mwaanga, Gebeyehu Taye |
| Quelle: | Water Science, Vol 39, Iss 1, Pp 42-57 (2025) |
| Verlagsinformationen: | Taylor & Francis Group, 2025. |
| Publikationsjahr: | 2025 |
| Bestand: | LCC:Hydraulic engineering LCC:Environmental technology. Sanitary engineering |
| Schlagwörter: | Ungauged catchment, hydrological modelling, water availability, evaporation, surface runoff, Hydraulic engineering, TC1-978, Environmental technology. Sanitary engineering, TD1-1066 |
| Beschreibung: | Improving streamflow prediction reliability under limited hydrological observations is important for achieving sustainable water resources management of a river catchment. Inadequate baseline information about a catchment hydrological characteristic has hindered efficient water availability analysis and planning for water use, demand, and allocation among competing water users. The United Nations is globally implementing Sustainable Development Goals such as No. 6 (SDG-6) with emphasis on the need of having access to clean water and sanitation for all by 2030 which highly depend on water resources availability. The purpose of this study was to analyse and predict water availability in the Luwombwa sub-catchment through the application of the Soil and Water Assessment Tool (SWAT) based on its capability to simulate a wide range of hydrological processes of the sub-catchment of 7,363 km2 considering past, present, and future climate scenarios. The results of the model performance achieved Nash-Sutcliffe Efficiency (NSE) of 0.74, a coefficient of determination (R2) of 0.77 and a Percent Bias (PBIAS) of 3.84 during the model calibration period (2017–2022). During model validation period (2009–2015), performance evaluations achieved were NSE of 0.66, R2 of 0.67 and PBIAS of 5.67 at the catchment outlet. The model’s estimated water balance components were precipitation of 1107.7 mm comparable to the observed 1100.6 mm long-term average annual precipitation within the region, 63% evapotranspiration and 18% runoff while the combined percolation and deep recharge accounted for 19% of the annual precipitation. The results indicated the reliability of the model to predict catchment surface water availability, which provides baseline information for sustainable water resources management such as development of catchment management plans, water budget, and allocation. Therefore, the scientific insights from this study are capable of informing and enhancing the implementation process of the SDG-6 globally especially in Sub-Saharan regions. |
| Publikationsart: | article |
| Dateibeschreibung: | electronic resource |
| Sprache: | English |
| ISSN: | 2357-0008 |
| Relation: | https://doaj.org/toc/2357-0008 |
| DOI: | 10.1080/23570008.2024.2439586 |
| Zugangs-URL: | https://doaj.org/article/5f4232d569cb4f9ba2039b5cf65935e2 |
| Dokumentencode: | edsdoj.5f4232d569cb4f9ba2039b5cf65935e2 |
| Datenbank: | Directory of Open Access Journals |
Nájsť tento článok vo Web of Science | Abstract: | Improving streamflow prediction reliability under limited hydrological observations is important for achieving sustainable water resources management of a river catchment. Inadequate baseline information about a catchment hydrological characteristic has hindered efficient water availability analysis and planning for water use, demand, and allocation among competing water users. The United Nations is globally implementing Sustainable Development Goals such as No. 6 (SDG-6) with emphasis on the need of having access to clean water and sanitation for all by 2030 which highly depend on water resources availability. The purpose of this study was to analyse and predict water availability in the Luwombwa sub-catchment through the application of the Soil and Water Assessment Tool (SWAT) based on its capability to simulate a wide range of hydrological processes of the sub-catchment of 7,363 km2 considering past, present, and future climate scenarios. The results of the model performance achieved Nash-Sutcliffe Efficiency (NSE) of 0.74, a coefficient of determination (R2) of 0.77 and a Percent Bias (PBIAS) of 3.84 during the model calibration period (2017–2022). During model validation period (2009–2015), performance evaluations achieved were NSE of 0.66, R2 of 0.67 and PBIAS of 5.67 at the catchment outlet. The model’s estimated water balance components were precipitation of 1107.7 mm comparable to the observed 1100.6 mm long-term average annual precipitation within the region, 63% evapotranspiration and 18% runoff while the combined percolation and deep recharge accounted for 19% of the annual precipitation. The results indicated the reliability of the model to predict catchment surface water availability, which provides baseline information for sustainable water resources management such as development of catchment management plans, water budget, and allocation. Therefore, the scientific insights from this study are capable of informing and enhancing the implementation process of the SDG-6 globally especially in Sub-Saharan regions. |
|---|---|
| ISSN: | 23570008 |
| DOI: | 10.1080/23570008.2024.2439586 |