{"title":"利用 HBV-Light 半分布式概念水文模型估算埃塞俄比亚阿瓦什河流域上游的地下水补给量","authors":"A. Muauz , B. Berehanu , H. Bedru","doi":"10.1016/j.ejrh.2024.102018","DOIUrl":null,"url":null,"abstract":"<div><h3>Study region</h3><div>Upstream part of the Awash River basin, located central part of Ethiopia</div></div><div><h3>Study focus</h3><div>In this paper, we estimated the groundwater recharge using a semi-distributed, conceptual hydrological HBV-Light model. We used metrological and flow data from the Ethiopia Metrological Agency and the Ministry of Water and Energy, respectively. To simulate groundwater recharge over the reference period from 1988 to 2015 we merged these data with the conceptual HBV-Light rainfall-runoff model for calibration and validation. The average yearly precipitation from 1986 to 2015 was 1117 mm. Two calibration situations are examined to determine the level of uncertainty using a Monte Carlo approach with randomly generated parameter values.</div></div><div><h3>New hydrological insights for the region</h3><div>For a 20-year calibration period, several parameter values were observed and modeled flow equally well. Except for most parameters, good simulations were discovered with values that varied across vast ranges. A few parameters were well-defined (i.e., the optimum parameter values were within limited ranges). We also employed the regional sensitivity analysis (RSA) method to assess the sensitivity of model parameters and model. HBV-light and the generalized likelihood uncertainty estimation method were used for selecting its parameters. The results indicate that the calculated evapotranspiration is 79.5–80 % of the precipitation. Awash Melkakuntiro and Hombele’s calculated recharge rates are 220.8 mm/yr and 212.01 mm/yr, respectively. Thus, the average annual recharge for the study area is 216 (19.6 %) of the yearly precipitation. The study found that groundwater resource availability is strongly linked to current recharge rates. To improve the accuracy of groundwater recharge estimation, the HBV-Light model was employed. The study recommends enhancing data consistency and quality by expanding the hydrometeorological database and integrating real-time data for daily recharge calculations.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102018"},"PeriodicalIF":4.7000,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Utilizing the HBV-Light semi-distributed conceptual hydrological model to estimate groundwater recharge in the upstream part of the Awash River basin, Ethiopia\",\"authors\":\"A. Muauz , B. Berehanu , H. Bedru\",\"doi\":\"10.1016/j.ejrh.2024.102018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Study region</h3><div>Upstream part of the Awash River basin, located central part of Ethiopia</div></div><div><h3>Study focus</h3><div>In this paper, we estimated the groundwater recharge using a semi-distributed, conceptual hydrological HBV-Light model. We used metrological and flow data from the Ethiopia Metrological Agency and the Ministry of Water and Energy, respectively. To simulate groundwater recharge over the reference period from 1988 to 2015 we merged these data with the conceptual HBV-Light rainfall-runoff model for calibration and validation. The average yearly precipitation from 1986 to 2015 was 1117 mm. Two calibration situations are examined to determine the level of uncertainty using a Monte Carlo approach with randomly generated parameter values.</div></div><div><h3>New hydrological insights for the region</h3><div>For a 20-year calibration period, several parameter values were observed and modeled flow equally well. Except for most parameters, good simulations were discovered with values that varied across vast ranges. A few parameters were well-defined (i.e., the optimum parameter values were within limited ranges). We also employed the regional sensitivity analysis (RSA) method to assess the sensitivity of model parameters and model. HBV-light and the generalized likelihood uncertainty estimation method were used for selecting its parameters. The results indicate that the calculated evapotranspiration is 79.5–80 % of the precipitation. Awash Melkakuntiro and Hombele’s calculated recharge rates are 220.8 mm/yr and 212.01 mm/yr, respectively. Thus, the average annual recharge for the study area is 216 (19.6 %) of the yearly precipitation. The study found that groundwater resource availability is strongly linked to current recharge rates. To improve the accuracy of groundwater recharge estimation, the HBV-Light model was employed. The study recommends enhancing data consistency and quality by expanding the hydrometeorological database and integrating real-time data for daily recharge calculations.</div></div>\",\"PeriodicalId\":48620,\"journal\":{\"name\":\"Journal of Hydrology-Regional Studies\",\"volume\":\"56 \",\"pages\":\"Article 102018\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2024-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Hydrology-Regional Studies\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214581824003677\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"WATER RESOURCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology-Regional Studies","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214581824003677","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"WATER RESOURCES","Score":null,"Total":0}
Utilizing the HBV-Light semi-distributed conceptual hydrological model to estimate groundwater recharge in the upstream part of the Awash River basin, Ethiopia
Study region
Upstream part of the Awash River basin, located central part of Ethiopia
Study focus
In this paper, we estimated the groundwater recharge using a semi-distributed, conceptual hydrological HBV-Light model. We used metrological and flow data from the Ethiopia Metrological Agency and the Ministry of Water and Energy, respectively. To simulate groundwater recharge over the reference period from 1988 to 2015 we merged these data with the conceptual HBV-Light rainfall-runoff model for calibration and validation. The average yearly precipitation from 1986 to 2015 was 1117 mm. Two calibration situations are examined to determine the level of uncertainty using a Monte Carlo approach with randomly generated parameter values.
New hydrological insights for the region
For a 20-year calibration period, several parameter values were observed and modeled flow equally well. Except for most parameters, good simulations were discovered with values that varied across vast ranges. A few parameters were well-defined (i.e., the optimum parameter values were within limited ranges). We also employed the regional sensitivity analysis (RSA) method to assess the sensitivity of model parameters and model. HBV-light and the generalized likelihood uncertainty estimation method were used for selecting its parameters. The results indicate that the calculated evapotranspiration is 79.5–80 % of the precipitation. Awash Melkakuntiro and Hombele’s calculated recharge rates are 220.8 mm/yr and 212.01 mm/yr, respectively. Thus, the average annual recharge for the study area is 216 (19.6 %) of the yearly precipitation. The study found that groundwater resource availability is strongly linked to current recharge rates. To improve the accuracy of groundwater recharge estimation, the HBV-Light model was employed. The study recommends enhancing data consistency and quality by expanding the hydrometeorological database and integrating real-time data for daily recharge calculations.
期刊介绍:
Journal of Hydrology: Regional Studies publishes original research papers enhancing the science of hydrology and aiming at region-specific problems, past and future conditions, analysis, review and solutions. The journal particularly welcomes research papers that deliver new insights into region-specific hydrological processes and responses to changing conditions, as well as contributions that incorporate interdisciplinarity and translational science.