Journal of Hydrology-Regional Studies最新文献

{"title":"Runoff simulation of the Kaidu River Basin based on the GR4J-6 and GR4J-6-LSTM models","authors":"Jing Yang ,&nbsp;Fulong Chen ,&nbsp;Aihua Long ,&nbsp;Huaiwei Sun ,&nbsp;Chaofei He ,&nbsp;Bo Liu","doi":"10.1016/j.ejrh.2024.102034","DOIUrl":"10.1016/j.ejrh.2024.102034","url":null,"abstract":"<div><h3>Study region</h3><div>The Kaidu River Basin originates from the southern slope of the Tienshan Mountains in the Xinjiang Uygur Autonomous Region, China.</div></div><div><h3>Study focus</h3><div>Accurate runoff simulation and prediction significantly affect flood control, drought resilience, and water resource allocation decisions. This study establishes the GR4J-6 model (modèle du Génie Rural à 4 paramètres Journalier-6, including a snowmelt module) and integrates it with the LSTM (Long Short-Term Memory) model to construct the hybrid GR4J-6-LSTM model and enhance the simulation accuracy of snowmelt runoff. A case study is conducted in the Kaidu River Basin to demonstrate the applicability of these models in cold and arid regions. The accuracy of the GR4J-6, LSTM, and GR4J-6-LSTM models is evaluated using Nash-Sutcliffe efficiency (NSE), Kling-Gupta Efficiency (KGE), and Root Mean Squared Error (RMSE) metrics. In addition, the contributions of each feature variable in the models are analyzed using the SHapley Additive exPlanations (SHAP) method to enhance the reliability of the results.</div></div><div><h3>New hydrological insights for the region</h3><div>The GR4J-6 model demonstrated good applicability in the Kaidu River Basin, with NSE, KGE, and RMSE values of 0.69, 0.79, and 39.39 m³/s during the validation period, respectively. The hybrid model GR4J-6-LSTM exhibited the highest comprehensive accuracy among all the models, with NSE, KGE, and RMSE values of 0.84, 0.87, and 28.79 m³/s, respectively. In the LSTM model, temperature and precipitation were found to significantly influence the simulated runoff, indicating that higher temperature and precipitation lead to increased runoff. In the GR4J-6-LSTM model, Tmin (minimum temperature) and the hydrological feature variable Qsim exhibited a strong positive correlation with simulated runoff, as Tmin and Qsim increased, they promoted stronger flow production. This study provides a framework for runoff simulation in snowmelt river basins, offering a reference for projecting extreme hydrological events under climate change.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102034"},"PeriodicalIF":4.7,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterization of drought propagation over the Tibetan Plateau","authors":"Di Wu ,&nbsp;Zeyong Hu","doi":"10.1016/j.ejrh.2024.102035","DOIUrl":"10.1016/j.ejrh.2024.102035","url":null,"abstract":"<div><h3>Study region</h3><div>This study was carried out on the Tibetan Plateau (TP), which contains multiple important ecosystems, is the source of many rivers in China, and is experiencing significant climate change.</div></div><div><h3>Study focus</h3><div>Clarifying drought propagation characteristics is crucial for understanding the mechanism of drought development and benefiting drought mitigation and early warning schemes. However, there is currently a notable lack of research on droughts on the TP and drought propagation characteristics on the TP have yet to be investigated. In this study, we investigated drought propagation time, probability, threshold, and the climatic factors associated with drought development based on the copula probability model and correlation, Bayesian network, and attribution analyses, allowing us to fill current research gaps.</div></div><div><h3>New hydrological insights for the region</h3><div>The research framework proposed in this study effectively reflected the characteristics of drought propagation. Our results showed that seasonality and aridity controlled the propagation time from meteorological drought (MD) to agricultural drought (AD), i.e., the time was shortest in summer (2.3<img>11.0 months) and in the humid zone (2.3<img>7 months); the same pattern was found for the propagation of MD to hydrological drought (HD), with the propagation time being 2.3<img>3.0 months in summer and 2.3<img>6 months in humid zones. The propagation probability for both AD and HD generally increased synchronously with the severity of MD, and also exhibited seasonal patterns, with the highest probability values in summer (0.59<img>0.90 for AD and 0.51<img>0.82 for HD). The highest propagation thresholds were also found in summer (−1.68 to −1.09 for AD and −1.68 to −1.36 for HD). The trends of both propagation time and probability were significant, and the probability of HD exhibited significant downward trends (−0.074 to −0.030/decade) across the TP. Precipitation was the dominant factor controlling the development of drought in most cases; however, other climatic factors, such as maximum temperature, solar radiation, and specific humidity, contributed 14.0 %<img>43.9 % of the variances of AD and HD.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102035"},"PeriodicalIF":4.7,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Satellite observations of surface water dynamics and channel migration in the Yellow River since the 1980s","authors":"Panpan Chen ,&nbsp;Zhigang Cao ,&nbsp;Chen Yang ,&nbsp;Zhiqiang Qiu ,&nbsp;Xingjian Guo ,&nbsp;Hongtao Duan","doi":"10.1016/j.ejrh.2024.102029","DOIUrl":"10.1016/j.ejrh.2024.102029","url":null,"abstract":"<div><h3>Study region</h3><div>the Yellow <em>River</em> (YR) in China.</div></div><div><h3>Study focus</h3><div>Due to climate <em>change</em> and human activities, YR channel morphology has undergone significant spatiotemporal variations. Yet, a comprehensive understanding of channel migration in YR and its driving factors remains unclear. Here, we developed a multi-index water extraction method to track the changes in surface water and river channel migration of YR based on Landsat imagery since the 1980s.</div></div><div><h3>New hydrological insights for the region</h3><div>We find that the <em>average</em> surface water area of YR over the past four decades is 4013 km², with 73.5 % of permanent surface water. Notably, the surface water extent has experienced a 9 % increase since the 1980s, while the river channel has undergone a 12.2 % decrease. The YR channel’s centerline exhibits diverse change patterns across the entire basin, which can be broadly categorized into six types ranging from unchanged to reverse migration. We identify that climate, particularly temperature and precipitation, contributed 71 % of channel changes in the upper reaches, while 65 % of changes in the lower reaches are from human activities, including reservoir operations and water management policies. Our results unveil the variations in water extent and channel migration of the YR, offering new insights into the interactions between channel migration and climate change and human activities in the YR over the past four decades.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102029"},"PeriodicalIF":4.7,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of the source and mechanisms of groundwater recharge for the southern sections of the western Afar rift margin and associated rift floor","authors":"Dereje Gidafie ,&nbsp;Dessie Nedaw ,&nbsp;Tilahun Azagegn ,&nbsp;Bekele Abebe ,&nbsp;Alper Baba","doi":"10.1016/j.ejrh.2024.102037","DOIUrl":"10.1016/j.ejrh.2024.102037","url":null,"abstract":"<div><h3>Study area</h3><div>Southern Sections of Western Afar rift margin and associated rift floor<em>.</em></div></div><div><h3>Study focus</h3><div>The purpose of this study is to identify the source and mechanisms of groundwater recharge based on geological, hydrochemical, and environmental isotope studies.</div></div><div><h3>New hydrogeological insights</h3><div>The investigation illustrate that the columnar jointed basalt was extended from the plateau to the rift margin. In addition, transverse structures trending NW-SE and NE-SW connect the plateau to the rift margin and the marginal grabens to the rift floor. The hydrochemical interpretations with EC and TDS shows that the groundwater from the plateau has evolved from Ca-dominated and slightly mineralized to Na-dominated and highly mineralized to the rift floor. Isotopically, the deep groundwater systems are depleted in the entire physiography in contrast to the shallow groundwater systems. Radon measurements are higher at the outlets of the marginal grabens and between the rift margin and the rift floor, suggesting groundwater feeds the river. A comprehensive analysis of the aforementioned results suggests that the deep circulating groundwater is recharged in the plateau and escarpment and chemically altered with increasing depth and along its preferential flow path into the rift floor. Therefore, the plateau area is the main source of recharge for the western Afar rift margin and associated rift floor, due to the presence of preferential pathways, mainly the columnar jointed basalts and cross-structures.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102037"},"PeriodicalIF":4.7,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative characterization, spatiotemporal evolution, and analysis of driving factors of daily dry-wet abrupt alternation: A case study of the Ganjiang River Basin","authors":"Guangxu Liu ,&nbsp;Aicun Xiang ,&nbsp;Zhiwei Wan ,&nbsp;Longqi Zhang ,&nbsp;Jie Wu ,&nbsp;Zheng Xie","doi":"10.1016/j.ejrh.2024.102030","DOIUrl":"10.1016/j.ejrh.2024.102030","url":null,"abstract":"<div><h3>Study Region</h3><div>This study focuses on the Ganjiang River Basin, a major tributary of the Poyang Lake located in southern China.</div></div><div><h3>Study Focus</h3><div>With the growing frequency of extreme weather events driven by climate change, there is increased attention on compound disasters such as Dry-Wet Abrupt Alternation (DWAA). This study aims to quantify and define DWAA in the Ganjiang River Basin by developing and applying a DWAA Index (DWAAI) using a percentile threshold method. The objective is to investigate the spatiotemporal characteristics and patterns of DWAA in the region. Precipitation data from 12 meteorological stations were analyzed to track these events from 1970 to 2019.</div></div><div><h3>New Hydrological Insights For the region</h3><div>The results of this study provide new insights into DWAA dynamics in the Ganjiang River Basin. Key findings include: (i) The DWAAI effectively captures the extremes of Dry-Wet Abrupt Alternations, especially at the 1st and 99th percentiles; (ii) The basin experienced 37–48 dry-to-wet events (DtWs) during the study period, with higher frequencies observed in the central-eastern, western, and northern mountainous areas, and lower frequencies in the southern regions; (iii) Wet-to-dry events (WtDs) were less common than DtWs and exhibited a distinct spatial and temporal shift from the southern mountains toward the central basin; (iv) Temperature was identified as the dominant factor influencing DWAAI changes, while large-scale atmospheric patterns such as AO, ENSO, PDO, and Sunspot activity showed insignificant correlations. These findings offer critical insights for improving water resource management and climate adaptation efforts in the region.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102030"},"PeriodicalIF":4.7,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting future evapotranspiration based on remote sensing and deep learning","authors":"Xin Zheng ,&nbsp;Sha Zhang ,&nbsp;Shanshan Yang ,&nbsp;Jiaojiao Huang ,&nbsp;Xianye Meng ,&nbsp;Jiahua Zhang ,&nbsp;Yun Bai","doi":"10.1016/j.ejrh.2024.102023","DOIUrl":"10.1016/j.ejrh.2024.102023","url":null,"abstract":"<div><h3>Study region</h3><div>The watersheds of the four flux sites in the United States were selected as the study areas for this research.</div></div><div><h3>Study focus</h3><div>This study validates the efficiency of Convolutional Long Short-Term Memory Network (ConvLSTM) models for site-scale <span><math><msub><mrow><mi>ET</mi></mrow><mrow><mi>a</mi></mrow></msub></math></span> prediction. We enhanced the ConvLSTM model by adding a Spatial Pyramid Pooling module (SPPM) and a Multi-head Self-Attention Module (MSA-Module), creating the Multi-head Self-Attention ConvLSTM (MSA-ConvLSTM) model, which we applied to predicting regional-scale actual evapotranspiration (<span><math><msub><mrow><mi>ET</mi></mrow><mrow><mi>a</mi></mrow></msub></math></span>). This study aims to investigate whether the MSA-ConvLSTM model can enhance the accuracy of predicting regional-scale <span><math><msub><mrow><mi>ET</mi></mrow><mrow><mi>a</mi></mrow></msub></math></span>, considering multiple feature variables. Furthermore, we evaluated different performance indicators, discussed possible reasons for errors in regional <span><math><msub><mrow><mi>ET</mi></mrow><mrow><mi>a</mi></mrow></msub></math></span> prediction, and conducted sensitivity analysis of the model characteristics.</div></div><div><h3>New hydrological insights for the region</h3><div>The MSA-ConvLSTM model accurately predicts the future state of <span><math><msub><mrow><mi>ET</mi></mrow><mrow><mi>a</mi></mrow></msub></math></span>. The average <span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> was 0.81, which is 11.6 % and 5.5 % higher than those of the ConvLSTM and Self-Attention ConvLSTM (SA-ConvLSTM) models, respectively. The average RMSE is 11.94 mm/m, which is 21.5 % and 13.7 % lower than ConvLSTM and SA-ConvLSTM, respectively. The average MAE is 9.46 mm/m, which is 21.3 % and 13 % lower than ConvLSTM and SA-ConvLSTM, respectively. Incorporating of a multi-head self-attention module enhances the model’s capacity for comprehensive understanding of input data features. This improvement allows the model to better adapt to feature relationships at varying scales and angles, enhancing its representational capacity and enabling effective adaptation to complex environmental changes.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102023"},"PeriodicalIF":4.7,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Groundwater-surface water exchanges in an alluvial plain in southern France subjected to pumping: A coupled multitracer and modeling approach","authors":"Jérôme Texier ,&nbsp;Julio Gonçalvès ,&nbsp;Thomas Stieglitz ,&nbsp;Christine Vallet-Coulomb ,&nbsp;Jérôme Labille ,&nbsp;Vincent Marc ,&nbsp;Angélique Poulain ,&nbsp;Philippe Dussouillez","doi":"10.1016/j.ejrh.2024.101995","DOIUrl":"10.1016/j.ejrh.2024.101995","url":null,"abstract":"<div><h3>Study region</h3><div>The study was conducted in an alluvial plain between the Rhône and the Ouvèze Rivers (in the southeast of France) extensively exploited for drinking water. The research area is characterized by significant groundwater-surface interactions influenced by groundwater pumping activities.</div></div><div><h3>Study focus</h3><div>The aim of this study is to enhance the understanding of interactions between rivers and alluvial aquifers by combined multi-tracer and numerical modeling approaches. Over an 18-month period, groundwater temperature, piezometric levels, and river surface water levels were continuously monitored. Field campaigns focused on conductivity, stable isotopes of water, and radon-222 activity concentration in both groundwater and surface water. Radon-222 was used to quantify water exchanges between the river and the aquifer. A MODFLOW model, calibrated using piezometric data and PEST, was employed to simulate groundwater flow and reactive transport of radon-222 using MT3DMS.</div></div><div><h3>New hydrological insights for the region</h3><div>The study reveals that river water recharges the aquifer, with radon-222 data delineating this recharge zone. The methodology extended the interpretation of periodic groundwater temperature signals to isotopic signals, allowing the identification of dispersivity and Darcy's velocity. The Ouvèze River was found to contribute approximately 55 % of the pumping water supply, alongside the Rhône. These findings provide valuable insights for sustainable water resource management, demonstrating the relevance of using natural tracers in scenarios where artificial tracers are impractical.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 101995"},"PeriodicalIF":4.7,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of dominant drivers of streamflow spatiotemporal variations in typical mountainous areas in the Hexi Corridor, China","authors":"Lemin Wei ,&nbsp;Wenzhi Zhao ,&nbsp;Chuandong Wu ,&nbsp;Xiangyan Feng ,&nbsp;Dacheng Song","doi":"10.1016/j.ejrh.2024.102024","DOIUrl":"10.1016/j.ejrh.2024.102024","url":null,"abstract":"<div><h3>Study region</h3><div>Typical mountain areas in the Hexi Corridor, China.</div></div><div><h3>Study focus</h3><div>Water security and ecosystem sustainability of arid inland river basins are highly dependent on upstream streamflow. However, due to the complex geographical environment and limited observation data in the study region, the attribution of spatiotemporal variations in streamflow influenced by climate change and/or human activities remains unclear. Here, we used partial least squares regression (PLSR) and the Budyko framework to unravel the dominant drivers of spatiotemporal variation in streamflow over the past 30 yr.</div></div><div><h3>New hydrological insight for the region</h3><div>Precipitation, topographic wetness index, slope, forest land, gross primary productivity, hydrological connectivity, soil organic carbon content, silt content, relative relief, <em>NDVI</em> and gravel content dominated spatial variation in streamflow. Temporal variation of streamflow was sensitive to precipitation and land surface. Specifically, increased precipitation and land surface alteration dominated the increase in streamflow in 50 % of the watersheds and the decrease in streamflow in 33 % of them, respectively. Further, land surface alteration was dominated by expansion of agricultural and built-up areas, weakened hydrological connectivity, increased landscape aggregation and forest cover. Controlling agricultural and built-up areas and the scale of afforestation, and focusing on the dynamics of hydrological connectivity and landscape patterns in the upstream reaches are imperative to maintain the security and sustainability of water resources in the arid inland river basins.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102024"},"PeriodicalIF":4.7,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal desynchronization in the propagation from meteorological to soil moisture drought in the Loess Plateau, China","authors":"Mingqiu Nie ,&nbsp;Shengzhi Huang ,&nbsp;Xin-Min Zeng ,&nbsp;Jian Peng ,&nbsp;Ganggang Bai","doi":"10.1016/j.ejrh.2024.102025","DOIUrl":"10.1016/j.ejrh.2024.102025","url":null,"abstract":"<div><h3>Study Region</h3><div>The Loess Plateau (LP) of China</div></div><div><h3>Study Focus</h3><div>Meteorological drought (MD) would propagate to soil moisture drought (SMD) with spatiotemporal desynchronization. The spatial desynchronization between them has frequently been ignored in previous studies due to limitation of identified droughts, which did not consider their 3-dimensional (3D, i.e. longitude, latitude and time) properties. This study presents a 3D perspective on the spatiotemporal desynchronization in the propagation from meteorological to soil moisture drought in the the Loess Plateau (LP) of China, using an improved drought matching method. Event Synchronization (ES) is extended to determine temporal linkage of the two types of droughts and spatial connection is tested using overlapping area.</div></div><div><h3>New Hydrological Insights for the Region</h3><div>The results showed that: (1) the improved method is reasonable for identifying MDs that trigger SMDs, down to specific clusters; (2) 8 SMDs preceded MDs 1 month, while approximately 79 % of SMDs did not recover after the determination of MDs; (3) severity of MD is an impact factor on recovery lag, while antecedent soil moisture dominates onset lag with the relative importance of approximately 50 %; and (4) incompletely overlap in migration trajectory between the two types of droughts was mainly caused by temperature, followed by antecedent soil moisture and potential evapotranspiration, with relative importance of 55 %, 14 % and 12 %, respectively.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102025"},"PeriodicalIF":4.7,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"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 ,&nbsp;B. Berehanu ,&nbsp;H. Bedru","doi":"10.1016/j.ejrh.2024.102018","DOIUrl":"10.1016/j.ejrh.2024.102018","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":4.7,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}