Assessment of the impact of rainfall uncertainties on the groundwater recharge estimations of the Tikur-Wuha watershed, rift valley lakes basin, Ethiopia
Spatial recharge estimation uncertainty is directly proportional to uncertainty in input precipitation data Thus, the main objective of this study was to investigate the recharge uncertainty by using improved spatial rainfall observations. The physically based fully distributed hydrological model We...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024003426 |
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| author | Tsegamlak Diriba Beyene Fasikaw Atanaw Zimale Sirak Tekleab Gebrekristos Dessie Nedaw |
| author_facet | Tsegamlak Diriba Beyene Fasikaw Atanaw Zimale Sirak Tekleab Gebrekristos Dessie Nedaw |
| author_sort | Tsegamlak Diriba Beyene |
| collection | DOAJ |
| description | Spatial recharge estimation uncertainty is directly proportional to uncertainty in input precipitation data Thus, the main objective of this study was to investigate the recharge uncertainty by using improved spatial rainfall observations. The physically based fully distributed hydrological model WetSpa was used to simulate 20,000 possible combinations of parameters for two model setup. The M1 model setup was developed based on the rainfall measurements obtained from rain gauge stations scattered in and around the Tikur-Wuha watershed in Ethiopia, while M2 model setup was developed using bias-corrected satellite rainfall estimates (SREs) based on Climate Hazards Group InfraRed Precipitation (CHIRP) merged with relevant ground station records. The required parameter combinations were generated using Monte Carlo simulation stratified by applying Latin Hypercube Sampling (LHS). One hundred best performing parameter combinations were selected for each model to generate spatial recharge statistics and assess the resulting uncertainty in the recharge estimates. The results revealed that enhanced spatial recharge estimates can be produced through improved CHIRP-based SREs. The long-term mean annual recharge (218.29 mm) in the Tikur-Wuha watershed was estimated. Model parameter calibration performed using discharge measurements obtained from the Wosha rain gauge station located in the subcatchment area of the Tikur-Wuha watershed had a Nash-Sutcliffe efficiency of 0.56. Seventy percent of the watershed showed a coefficient of variation (Cv) < 0.15 for M2, while 90 % of the area exhibited a Cv < 0.15 for M1. Furthermore, the study findings highlighted the importance of improving evapotranspiration data accuracy to reduce the uncertainty of recharge estimates. However, the uncontrolled irrigation water uses and the total recharge coming from the irrigation fields scattered across the Tikur-Wuha watershed were not considered in the study, which is a limitation of the study. Future studies should consider the contribution made by irrigation water to the total recharge of the watershed. |
| first_indexed | 2024-03-08T06:55:05Z |
| format | Article |
| id | doaj.art-851eae2b19944ef2af23a035eb53a7a1 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-08T06:55:05Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-851eae2b19944ef2af23a035eb53a7a12024-02-03T06:36:54ZengElsevierHeliyon2405-84402024-01-01102e24311Assessment of the impact of rainfall uncertainties on the groundwater recharge estimations of the Tikur-Wuha watershed, rift valley lakes basin, EthiopiaTsegamlak Diriba Beyene0Fasikaw Atanaw Zimale1Sirak Tekleab Gebrekristos2Dessie Nedaw3Africa Center of Excellence for Water Management, Addis Ababa University, Addis Ababa, Ethiopia; School of Hydraulic and Water Resources Engineering, Dilla University, Dilla, Ethiopia; Corresponding author. Africa Center of Excellence for Water Management, Addis Ababa University, Addis Ababa, Ethiopia.Africa Center of Excellence for Water Management, Addis Ababa University, Addis Ababa, Ethiopia; Faculty of Civil and Water Resources Engineering, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, EthiopiaEthiopian Institute of Water Resources, Addis Ababa University, Addis Ababa, EthiopiaAfrica Center of Excellence for Water Management, Addis Ababa University, Addis Ababa, Ethiopia; School of Earth Sciences, Addis Ababa University, Addis Ababa, EthiopiaSpatial recharge estimation uncertainty is directly proportional to uncertainty in input precipitation data Thus, the main objective of this study was to investigate the recharge uncertainty by using improved spatial rainfall observations. The physically based fully distributed hydrological model WetSpa was used to simulate 20,000 possible combinations of parameters for two model setup. The M1 model setup was developed based on the rainfall measurements obtained from rain gauge stations scattered in and around the Tikur-Wuha watershed in Ethiopia, while M2 model setup was developed using bias-corrected satellite rainfall estimates (SREs) based on Climate Hazards Group InfraRed Precipitation (CHIRP) merged with relevant ground station records. The required parameter combinations were generated using Monte Carlo simulation stratified by applying Latin Hypercube Sampling (LHS). One hundred best performing parameter combinations were selected for each model to generate spatial recharge statistics and assess the resulting uncertainty in the recharge estimates. The results revealed that enhanced spatial recharge estimates can be produced through improved CHIRP-based SREs. The long-term mean annual recharge (218.29 mm) in the Tikur-Wuha watershed was estimated. Model parameter calibration performed using discharge measurements obtained from the Wosha rain gauge station located in the subcatchment area of the Tikur-Wuha watershed had a Nash-Sutcliffe efficiency of 0.56. Seventy percent of the watershed showed a coefficient of variation (Cv) < 0.15 for M2, while 90 % of the area exhibited a Cv < 0.15 for M1. Furthermore, the study findings highlighted the importance of improving evapotranspiration data accuracy to reduce the uncertainty of recharge estimates. However, the uncontrolled irrigation water uses and the total recharge coming from the irrigation fields scattered across the Tikur-Wuha watershed were not considered in the study, which is a limitation of the study. Future studies should consider the contribution made by irrigation water to the total recharge of the watershed.http://www.sciencedirect.com/science/article/pii/S2405844024003426GroundwaterRechargeUncertaintyWetSpaTikur-wuha |
| spellingShingle | Tsegamlak Diriba Beyene Fasikaw Atanaw Zimale Sirak Tekleab Gebrekristos Dessie Nedaw Assessment of the impact of rainfall uncertainties on the groundwater recharge estimations of the Tikur-Wuha watershed, rift valley lakes basin, Ethiopia Heliyon Groundwater Recharge Uncertainty WetSpa Tikur-wuha |
| title | Assessment of the impact of rainfall uncertainties on the groundwater recharge estimations of the Tikur-Wuha watershed, rift valley lakes basin, Ethiopia |
| title_full | Assessment of the impact of rainfall uncertainties on the groundwater recharge estimations of the Tikur-Wuha watershed, rift valley lakes basin, Ethiopia |
| title_fullStr | Assessment of the impact of rainfall uncertainties on the groundwater recharge estimations of the Tikur-Wuha watershed, rift valley lakes basin, Ethiopia |
| title_full_unstemmed | Assessment of the impact of rainfall uncertainties on the groundwater recharge estimations of the Tikur-Wuha watershed, rift valley lakes basin, Ethiopia |
| title_short | Assessment of the impact of rainfall uncertainties on the groundwater recharge estimations of the Tikur-Wuha watershed, rift valley lakes basin, Ethiopia |
| title_sort | assessment of the impact of rainfall uncertainties on the groundwater recharge estimations of the tikur wuha watershed rift valley lakes basin ethiopia |
| topic | Groundwater Recharge Uncertainty WetSpa Tikur-wuha |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024003426 |
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