Journal of Hydrology-Regional Studies最新文献

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Integrated GIS-based multi-criteria approach for rainwater harvesting site selection in the Moulouya Basin, Morocco 基于gis的摩洛哥Moulouya流域雨水收集选址综合多准则方法
IF 5 2区 地球科学
Journal of Hydrology-Regional Studies Pub Date : 2026-04-01 Epub Date: 2026-01-16 DOI: 10.1016/j.ejrh.2026.103123
Amiri Mustapha , Qadem Zohair , Qadem Abdelghani , Ali Salem
{"title":"Integrated GIS-based multi-criteria approach for rainwater harvesting site selection in the Moulouya Basin, Morocco","authors":"Amiri Mustapha ,&nbsp;Qadem Zohair ,&nbsp;Qadem Abdelghani ,&nbsp;Ali Salem","doi":"10.1016/j.ejrh.2026.103123","DOIUrl":"10.1016/j.ejrh.2026.103123","url":null,"abstract":"<div><h3>Study region</h3><div>Upper and middle Moulouya basin, Morocco</div></div><div><h3>Study focus</h3><div>In Morocco's Moulouya basin, recurrent droughts and rising temperatures have intensified the demand for surface water and the unsustainable exploitation of groundwater, particularly for agricultural purposes.This study aims to identify potential zones for rainwater harvesting (RWH) to reduce water shortages and improve water resource management in the upper and middle Moulouya basin. Geographic Information Systems (GIS), Remote sensing (RS) and WETSPASS model were integerted with Analytical Hierarchy Process (AHP) and Multi-Influencing Factor (MIF) methodologies to produce suitability maps for RWH sites.</div></div><div><h3>New hydrogeological insights from the region</h3><div>The results classified the study zones into five suitability classes: \"unsuitable\" to \" very suitable\", with around very suitable area 1588 km² and 2228 km² in MIF and AHP method respectively. The integrated models were validated using the receiver operating characteristic (ROC) curve and correlation coefficient, revealing area under the curve (AUC) values of 0.87 for AHP and 0.93 for MIF. The correlation coefficient was 0.79 and 0.77 in MIF and AHP, respectively, indicating moderate to high predictive accuracy, respectively. The findings of this study provide a valuable tool for decision-makers, hydrologists and planners to address water management challenges in the Moulouya basin. The integrated approaches are applicable for basins in other areas with similar hydrogical conditions particularly in regions prone to severe drought.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103123"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145981423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Impacts of water supply leakage and inter-basin water transfer on groundwater dynamics in Greater Jakarta 供水渗漏和流域间调水对大雅加达地下水动态的影响
IF 5 2区 地球科学
Journal of Hydrology-Regional Studies Pub Date : 2026-04-01 Epub Date: 2026-01-14 DOI: 10.1016/j.ejrh.2026.103121
Wulan Seizarwati , Naota Hanasaki , Saritha Padiyedath Gopalan , Taikan Oki
{"title":"Impacts of water supply leakage and inter-basin water transfer on groundwater dynamics in Greater Jakarta","authors":"Wulan Seizarwati ,&nbsp;Naota Hanasaki ,&nbsp;Saritha Padiyedath Gopalan ,&nbsp;Taikan Oki","doi":"10.1016/j.ejrh.2026.103121","DOIUrl":"10.1016/j.ejrh.2026.103121","url":null,"abstract":"<div><h3>Study region</h3><div>Greater Jakarta in the Ciliwung-Cisadane River basin, Indonesia</div></div><div><h3>Study focus</h3><div>Over 80 % of Jakarta's domestic water supply is imported from the Citarum River basin. Although this supply theoretically meets 65 % of current domestic water demand, approximately 46.67 % is lost through pipeline leakage. Given the large volumes involved, both leakage and inter-basin water transfer (IBWT) must be explicitly accounted in simulating Jakarta's hydrology and water resources.</div></div><div><h3>New hydrological insight for this region</h3><div>This study presents a refined framework for assessing water allocation and groundwater management in urbanized basins by integrating domestic water supply leakage and IBWT into a distributed hydrological model. Simulations were conducted for the Ciliwung-Cisadane River basin, covering Jakarta, at 30-arcsecond (∼1 km) resolution for the 2004–2013 period. Two leakage mechanisms were modeled: (1) LEAK1, where leakage directly recharges groundwater, and (2) LEAK2, where leakage first infiltrates the soil layer. Multiple scenarios were analyzed, including a baseline condition, leakage influence, and IBWT effects. Results show that leakage contributes 35 %-41 % (95 % confidence interval) of total groundwater recharge, with higher contributions in urban areas. IBWT reduces Jakarta's domestic water deficit by 62.5 % and increases leakage volume by 12 %. The simulations also reveal an urban groundwater recycling process in which leaked water initially intended for domestic use is unintentionally reallocated to support industrial groundwater extraction. By explicitly incorporating these urban hydrological processes, this study provides more realistic, policy-relevant insights for sustainable water resources management.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103121"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145981421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hydrological performance of bioretention systems under constrained subsoil: A study based on three bioretention prototypes in Paris, France 约束底土条件下生物滞留系统的水文性能:基于法国巴黎三个生物滞留原型的研究
IF 5 2区 地球科学
Journal of Hydrology-Regional Studies Pub Date : 2026-04-01 Epub Date: 2026-01-13 DOI: 10.1016/j.ejrh.2026.103124
Tinghao Huang , Jérémie Sage , Emmanuel Berthier , Didier Técher , Philippe Dubois , Marie-Christine Gromaire
{"title":"Hydrological performance of bioretention systems under constrained subsoil: A study based on three bioretention prototypes in Paris, France","authors":"Tinghao Huang ,&nbsp;Jérémie Sage ,&nbsp;Emmanuel Berthier ,&nbsp;Didier Técher ,&nbsp;Philippe Dubois ,&nbsp;Marie-Christine Gromaire","doi":"10.1016/j.ejrh.2026.103124","DOIUrl":"10.1016/j.ejrh.2026.103124","url":null,"abstract":"<div><h3>Study region</h3><div>Paris Region, France</div></div><div><h3>Study focus</h3><div>Nature-based solutions, such as bioretention systems, are increasingly implemented for urban runoff management. This study combined continuous monitoring with field investigations of three bioretention prototypes in Paris Region to assess their hydrological performance under constrained subsoil conditions (limited or prohibited exfiltration), identify dominant hydrologic processes and explore ways to enhance them. The prototypes consisted of: 1) An unlined system with a hydraulic loading ratio (HLR) of 13 over clay subsoil, to assess how internal water storage (IWS) may enhance exfiltration; 2) Two lined systems, designed to evaluate whether combining a low HLR of 4, fine-textured substrate, and IWS can enhance evapotranspiration (ET) as the main volume reduction mechanism.</div></div><div><h3>New hydrologic insights</h3><div>The three systems achieved notable runoff reduction throughout the monitoring period, despite limited or null exfiltration. For the unlined system, volume reduction was largely driven by the thickness of the IWS, with sufficiently thick IWS enabling substantial exfiltration. For lined systems, it was controlled by ET, which appeared twice as high during dry periods. A capillary barrier between transition and drainage layers enhanced soil water retention in the unlined system, yet its ET remained lower than potential ET. Silt loam substrate in lined systems supported vegetation but led to cracking issues which were mitigated by IWS. Additionally, potential water intrusion from perched groundwater lenses was identified.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103124"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145981420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Remote sensing-enabled machine learning for modeling turbidity in regulating lakes and reservoirs across inter-basin under Google Earth Engine 基于遥感的机器学习在谷歌地球引擎下跨流域调节湖泊和水库浊度建模
IF 5 2区 地球科学
Journal of Hydrology-Regional Studies Pub Date : 2026-04-01 Epub Date: 2026-01-24 DOI: 10.1016/j.ejrh.2026.103150
Can Yang , Jinyue Chen , Guoqiang Wang , Shilong Ren , Yanbo Peng , Yi Li , Jilin Men , Lei Fang , Chongyang Wang , Wanting Wang , Zhenyu Gao , Qingzhu Zhang , Qiao Wang
{"title":"Remote sensing-enabled machine learning for modeling turbidity in regulating lakes and reservoirs across inter-basin under Google Earth Engine","authors":"Can Yang ,&nbsp;Jinyue Chen ,&nbsp;Guoqiang Wang ,&nbsp;Shilong Ren ,&nbsp;Yanbo Peng ,&nbsp;Yi Li ,&nbsp;Jilin Men ,&nbsp;Lei Fang ,&nbsp;Chongyang Wang ,&nbsp;Wanting Wang ,&nbsp;Zhenyu Gao ,&nbsp;Qingzhu Zhang ,&nbsp;Qiao Wang","doi":"10.1016/j.ejrh.2026.103150","DOIUrl":"10.1016/j.ejrh.2026.103150","url":null,"abstract":"<div><h3>Study region</h3><div>Two lakes and six reservoirs (Lake Nansi, Lake Dongping, Xiashan Reservoir, Menlou Reservoir, Mishan Reservoir, Datun Reservoir, Donghu Reservoir, and Shuangwangcheng Reservoir) along the Eastern Route of the South-to-North Water Diversion Project.</div></div><div><h3>Study focus</h3><div>A turbidity retrieval model was developed using Landsat OLI imagery and four machine learning models (RF; XGBoost; SVR; MLP) to analyze the spatiotemporal variations during 2013–2023. Furthermore, meteorological, land use, and socio-economic data were integrated to identify natural and anthropogenic factors driving long-term water quality evolution.</div></div><div><h3>New hydrological insights for the region</h3><div>(1) Machine learning models showed superior accuracy and generalizability in turbidity estimation, with RF achieving the best performance (R² = 0.89, RMSE = 0.10 NTU). (2) From 2013–2023, turbidity across all lakes and reservoirs exhibited a decreasing trend (-0.26 NTU/year). Spatially, the turbidity of mixed lakes (14.33–17.41 NTU) &gt; mixed reservoirs (11.07–16.48 NTU) &gt; regulating reservoirs (10.18–15.17 NTU). (3) During water diversion period, turbidity was lower in mixed reservoirs (11.69 vs. 13.58 NTU) but higher in mixed lakes (16.29 vs. 14.35 NTU) compared with non-diversion period, whereas regulating reservoirs exhibited no significant differences (12.88 vs. 12.50 NTU). (4) Turbidity variations across different lake and reservoir types were driven by the combined effects of natural and anthropogenic factors, although the dominant drivers varied significantly among waterbody types.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103150"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Variation characteristics of water reserves in high mountains and surrounding areas in Arid Central Asia 中亚干旱区高山及周边地区水量变化特征
IF 5 2区 地球科学
Journal of Hydrology-Regional Studies Pub Date : 2026-04-01 Epub Date: 2026-01-16 DOI: 10.1016/j.ejrh.2026.103138
Bing Bai , Ping Yue , Xueyuan Ren , Qiang Zhang , Tiejun Zhang , Xin Zhang
{"title":"Variation characteristics of water reserves in high mountains and surrounding areas in Arid Central Asia","authors":"Bing Bai ,&nbsp;Ping Yue ,&nbsp;Xueyuan Ren ,&nbsp;Qiang Zhang ,&nbsp;Tiejun Zhang ,&nbsp;Xin Zhang","doi":"10.1016/j.ejrh.2026.103138","DOIUrl":"10.1016/j.ejrh.2026.103138","url":null,"abstract":"<div><h3>Study region</h3><div>Arid Central Asia.</div></div><div><h3>Study focus</h3><div>We investigated 2003–2021 trends in air temperature, precipitation, and evapotranspiration (ET) across Arid Central Asia and its high-mountain regions. Using terrestrial water storage derived from GRACE, we applied robust trend analysis and significance testing to quantify spatiotemporal variability at monthly, seasonal, and interannual scales. We further revealed contrasting terrestrial water storage responses in high-mountain areas and adjacent representative subregions under both co-directional and counter-directional changes in the climate driving and ecological vegetation regulation.</div></div><div><h3>New hydrogeological insights from the region</h3><div>This work provides new insights into the variability of terrestrial water storage anomalies across multiple time scales in arid Central Asia and in high elevation regions that function as inland water towers. We use terrestrial water storage derived from GRACE together with reanalysis products. Under regional warming, explanations of mountain terrestrial water storage that rely only on precipitation and evapotranspiration are insufficient, because abundant runoff from snow and glacier melt prevents a clean closure of surface and subsurface water budgets. GRACE offers an integrated, observation based measure of all water compartments and therefore adds a valuable large scale perspective. We find a marked decline of terrestrial water storage in the Tianshan Mountains of −11.13 cm/a, whereas the Kunlun and Qilian Mountains ranges show increases of 7.81 cm/a and 5.18 cm/a, respectively. A comparison of the Oases located in the Hexi Corridor and the Tarim Basin as defined in this study indicates that human activities do not always deplete water resources. With sound planning and effective institutions, well designed interventions can enhance watershed water retention and storage capacity.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103138"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145981427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analyzing historical snow trends in interior Alaska 分析阿拉斯加内陆的历史降雪趋势
IF 5 2区 地球科学
Journal of Hydrology-Regional Studies Pub Date : 2026-04-01 Epub Date: 2026-01-16 DOI: 10.1016/j.ejrh.2025.103065
Anna M. Wagner , Katrina E. Bennett , Ross E. Alter , Elias J. Deeb , Nawa Raj Pradhan
{"title":"Analyzing historical snow trends in interior Alaska","authors":"Anna M. Wagner ,&nbsp;Katrina E. Bennett ,&nbsp;Ross E. Alter ,&nbsp;Elias J. Deeb ,&nbsp;Nawa Raj Pradhan","doi":"10.1016/j.ejrh.2025.103065","DOIUrl":"10.1016/j.ejrh.2025.103065","url":null,"abstract":"<div><h3>Study region</h3><div>The Chena River watershed in Interior Alaska, USA</div></div><div><h3>Study focus</h3><div>This study examines 40 years (water years 1982–2021) of snowpack characteristics to consider its hydrological implications in the 5350 km² Chena River basin. Using observations and a fine-scale physics model, we analyzed trends of snow water equivalent (SWE), snow onset and disappearance, and snow cover duration (SCD).</div></div><div><h3>New hydrological insights for the region</h3><div>Results indicate a decline in SWE across the modeled domain, averaging a decrease of 3 mm per decade, with larger decreases (up to 10 mm per decade) at lower elevations. While domain-averaged SWE trends were not statistically significant, observed SCD showed statistically significant decreases: −5.2, −5.0, and −4.4 days per decade at Teuchet Creek, Fairbanks F.O., and Little Chena Ridge, respectively. Notably, observations at SNOTEL stations and modeling revealed no statistically significant change in domain-averaged Rain-on-Snow (ROS) events over the 40-year period, contrasting some regional future estimates of increased ROS frequency. Peak streamflow did not consistently correlate with peak SWE levels, suggesting that other environmental factors such as ROS events and rapid temperature increases (e.g., a 10°C spike observed in 1992) are key drivers of hydrological outcomes. These findings improve understanding of complex subarctic hydrological processes impacting permafrost and highlight the need for adaptive water resource management to mitigate multi-factor risks like flooding and wildfire, requiring proactive planning.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103065"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145981422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Tracing nitrate fate in Malta’s hydrogeological system using an intensive vadose-groundwater monitoring network 利用密集的水汽-地下水监测网络追踪硝酸盐在马耳他水文地质系统中的去向
IF 5 2区 地球科学
Journal of Hydrology-Regional Studies Pub Date : 2026-04-01 Epub Date: 2026-02-02 DOI: 10.1016/j.ejrh.2026.103162
Luca Laudi , Ofer Dahan , Manuel Sapiano , Michael Schembri , Luke Galea , Ella Busuttil , John Mangion , Tuvia Turkeltaub
{"title":"Tracing nitrate fate in Malta’s hydrogeological system using an intensive vadose-groundwater monitoring network","authors":"Luca Laudi ,&nbsp;Ofer Dahan ,&nbsp;Manuel Sapiano ,&nbsp;Michael Schembri ,&nbsp;Luke Galea ,&nbsp;Ella Busuttil ,&nbsp;John Mangion ,&nbsp;Tuvia Turkeltaub","doi":"10.1016/j.ejrh.2026.103162","DOIUrl":"10.1016/j.ejrh.2026.103162","url":null,"abstract":"<div><h3>Study region:</h3><div>Maltese Islands</div></div><div><h3>Study focus:</h3><div>This study integrates five years of vadose zone (VZ) and groundwater monitoring to identify the dominant non-point sources of nitrate pollution across various agricultural systems. A network of 16 VZ monitoring stations was installed beneath six representative crops (potatoes, fodder, vegetables, vineyards, greenhouses, and orchards) to quantify nitrate buildup and storage. Groundwater samples were collected from the three major aquifer systems of Malta. The analysis couples chemical monitoring with Modified DRASTIC vulnerability modelling to determine how VZ properties, land use, and geological structure influence nitrate delivery to groundwater.</div></div><div><h3>New hydrological insights for the region:</h3><div>The results show that nitrate accumulation in the VZ varies strongly with crop type and geology. Potato cultivation produces the highest VZ nitrate storage and is the dominant source of nitrate loading to the MSLA, while intensive vegetable and greenhouse farming create local contamination hotspots above the Blue Clay and Coastal aquifers. Orchards and vineyards exhibit substantially lower nitrate buildup. Modified DRASTIC modelling highlights VZ thickness and nitrate storage as key controls on aquifer vulnerability. These findings clarify the coupled role of land use and subsurface structure in governing nitrate transport, providing a practical framework for identifying non-point nitrate pollution sources and enhancing groundwater management.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103162"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Regional patterns of streamflow persistence, complexity, and chaos indicators within the United States 美国境内河流持续性、复杂性和混乱指标的区域模式
IF 5 2区 地球科学
Journal of Hydrology-Regional Studies Pub Date : 2026-04-01 Epub Date: 2026-02-03 DOI: 10.1016/j.ejrh.2026.103184
Krzysztof Raczyński , Katarzyna Grala , Katarzyna Baran-Gurgul , John Cartwright , Jamie Dyer
{"title":"Regional patterns of streamflow persistence, complexity, and chaos indicators within the United States","authors":"Krzysztof Raczyński ,&nbsp;Katarzyna Grala ,&nbsp;Katarzyna Baran-Gurgul ,&nbsp;John Cartwright ,&nbsp;Jamie Dyer","doi":"10.1016/j.ejrh.2026.103184","DOIUrl":"10.1016/j.ejrh.2026.103184","url":null,"abstract":"<div><h3>Study Region</h3><div>Streamflow records from 3135 gauging stations across the United States and Puerto Rico (1970–2023) were analyzed. Daily discharge was aggregated into non-overlapping calendar weekly, monthly, quarterly, and annual series; within each period <em>Q</em><sub><em>min</em></sub>, <em>Q</em><sub><em>avg</em></sub>, and <em>Q</em><sub><em>max</em></sub> were computed as the minimum, mean and maximum of daily discharge, respectively.</div></div><div><h3>Study Focus</h3><div>Streamflow integrates climatic, hydrological, and anthropogenic influences. This study characterizes how memory, complexity, and chaos indicators in streamflow vary across regions, flow regimes, and time scales. Fractal and multifractal analyses, recurrence-quantification metrics, and largest Lyapunov exponents are computed for each gauge and aggregation scale, then summarized with fuzzy C-means clustering to derive regional dynamical regimes.</div></div><div><h3>New Hydrological Insights for the Region</h3><div>Hurst exponents mostly between 0.75 and 0.95 indicate widespread long-range dependence, strongest for <em>Q</em><sub><em>min</em></sub>. Multifractality intensifies with temporal aggregation and is greatest for <em>Q</em><sub><em>max</em></sub>, reflecting enhanced variability in extremes. Recurrence analysis reveals a trade-off between strong recurrence structure and high dynamical complexity, with <em>Q</em><sub><em>avg</em></sub> comparatively stable across scales. Positive largest Lyapunov exponents suggest low-dimensional chaos embedded within persistent dynamics. Clustering of multifractality and recurrence metrics yields three coherent regimes: a high-persistence, low-entropy regime in the western and central United States (including Alaska), a transitional regime in the Great Plains and Appalachia, and a higher-entropy regime in the northeastern and Gulf Coast areas (including Puerto Rico). Taken together, these typologies support region-specific forecasting and water-management strategies under climate and land-use change by indicating where persistence-dominated dynamics favor long-memory model structures and where higher entropy implies shorter predictability horizons and a stronger role for probabilistic or ensemble forecasting.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103184"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Discharge-based classifications of spatio-temporal patterns of potentially gaining and losing subcatchments in the Bode River catchment, Central Germany 德国中部波德河流域潜在增减子集水区的基于流量的时空格局分类
IF 5 2区 地球科学
Journal of Hydrology-Regional Studies Pub Date : 2026-04-01 Epub Date: 2026-01-22 DOI: 10.1016/j.ejrh.2026.103161
Chao Lei , Stefano Basso , Matthew J. Cohen , Andreas Musolff , Larisa Tarasova , Christian Schmidt
{"title":"Discharge-based classifications of spatio-temporal patterns of potentially gaining and losing subcatchments in the Bode River catchment, Central Germany","authors":"Chao Lei ,&nbsp;Stefano Basso ,&nbsp;Matthew J. Cohen ,&nbsp;Andreas Musolff ,&nbsp;Larisa Tarasova ,&nbsp;Christian Schmidt","doi":"10.1016/j.ejrh.2026.103161","DOIUrl":"10.1016/j.ejrh.2026.103161","url":null,"abstract":"<div><h3>Study Region</h3><div>Bode River catchment in Central Germany</div></div><div><h3>Study Focus</h3><div>Streamflow shortages driven by low runoff yield and water losses from streams to groundwater are gaining attention amid rising water demand and climate change, which threaten ecosystems and water security. To identify the former phenomena at the subcatchment scale, we present a transferable conceptual approach that classifies subcatchments as high-yield (potentially gaining hotspots) or low-yield (potentially losing hotspots) based on whether their specific discharge exceeds or falls below the catchment average. The method is tested on 18 gauged subcatchments of the Bode River catchment in Central Germany across long-term, annual, and monthly timescales.</div></div><div><h3>New Hydrological Insights for the Region</h3><div>Lowland agricultural subcatchments are predominantly low-yield at the long-term scale, whereas mountainous forested/seminatural subcatchments are mainly high-yield. Comparison with a well-established water balance approach confirms the method’s ability to identify potentially gaining and losing hotspots while reducing uncertainty, as it relies solely on observed discharge rather than precipitation and evapotranspiration data, which are often uncertain. Seasonal analysis reveals dynamic transitions between yield states that the water balance method cannot capture: high-yield subcatchments tend to shift to low-yield in summer, while low-yield subcatchments show higher relative discharge during the same period. Annual analyses also indicate that high-yield mountainous subcatchments are more resilient to prolonged dry conditions. This study provides a proof-of-concept for a simple and transferable approach, which relies on discharge observations only to obtain spatially and temporally differentiated insights into water yield and potentially gaining and losing conditions across gauged catchments.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103161"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146024549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multidimensional assessment framework for water resources allocation 水资源配置多维评估框架
IF 5 2区 地球科学
Journal of Hydrology-Regional Studies Pub Date : 2026-04-01 Epub Date: 2026-01-23 DOI: 10.1016/j.ejrh.2026.103170
Chen Niu, Jianxia Chang, Yimin Wang, Aijun Guo, Xuebin Wang, Xuejiao Meng, Zhehao Li
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