Journal of Hydrology-Regional Studies最新文献

{"title":"Identifying flush and transport patterns driving particle export and elemental composition of stormwater from a German urban catchment","authors":"Karen L. Rojas-Gómez ,&nbsp;Jakob Benisch ,&nbsp;Björn Helm ,&nbsp;Dietrich Borchardt ,&nbsp;Peter Krebs","doi":"10.1016/j.ejrh.2026.103196","DOIUrl":"10.1016/j.ejrh.2026.103196","url":null,"abstract":"<div><h3>Study region</h3><div>Dresden, Germany</div></div><div><h3>Study focus</h3><div>Stormwater runoff transports particles and contaminants, which are highly mobile in the urban water system. Their export shows significant temporal variability described by pollutant flush types. Understanding this variability is essential for improving monitoring and proposing stormwater pollution control strategies at the urban catchment scale. Hence, we characterised the sediment export and element patterns from a stormwater outlet in Dresden (Germany) using both grab samples and high-resolution monitoring data during rainfall events.</div></div><div><h3>New hydrological insights from the region</h3><div>Our results showed that the stormwater discharge consisted mainly of fine (&lt; 63 µm) and inorganic sediments, representing ∼80 % of suspended sediments. Pairwise associations and a hierarchical cluster analysis revealed strong Kendall correlations among fine and coarse suspended sediments, their organic content, and elements (i.e., Al, Ba, Cu, Fe, Mg, Mn, Zn), indicating similar transport mechanisms. These variables clustered with turbidity, emphasizing its potential as an easily measurable proxy for evaluating the dynamics of particle-bound contaminants through continuous monitoring. Hydrological descriptors may explain the variability of flush types. In the analysed catchment, second flush events could be linked to preceding higher-intensity rainfall, highlighting the influence of antecedent conditions on transport dynamics. The occurrence of two pollutant flush types through the year and the existence of both anti-clockwise and clockwise hysteresis patterns provide insights into delayed transport mechanisms, highlighting the need for flexible infrastructure in stormwater management.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103196"},"PeriodicalIF":5.0,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079722","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}

{"title":"Watershed-scale hydrodynamic modeling of Hurricane Helene flooding in Southern Appalachians","authors":"Haochen Li ,&nbsp;Jon Hathaway ,&nbsp;Alberto Canestrelli","doi":"10.1016/j.ejrh.2026.103167","DOIUrl":"10.1016/j.ejrh.2026.103167","url":null,"abstract":"<div><div><strong>Study region:</strong> Southern Appalachian headwaters of western North Carolina and eastern Tennessee, USA</div><div><strong>Study focus:</strong> This study develops and applies the XLA-accelerated Water Model (XWM), a differentiable, well-balanced shallow-water solver implemented in JAX (a Python library), to hindcast Helene’s flooding at 10 m resolution over 20,208 km² (202 million cells). XWM couples rainfall–runoff and open-channel hydraulics on a single grid and uses a mixed-precision strategy (64-bit accumulators, 32-bit kernels) to run efficiently on GPUs. The (uncalibrated) model performance is evaluated against 30 United States Geological Survey (USGS) gauges, 2375 U.S. Army Corps of Engineers (USACE) high-water marks, and post-event National Oceanic and Atmospheric Administration (NOAA) and Civil Air Patrol (CAP) aerial imagery. The event inundation is compared with the Federal Emergency Management Agency (FEMA) National Flood Hazard Layer (NFHL).</div><div><strong>New hydrologic Insights:</strong> XWM (uncalibrated) reproduces hydrograph timing and shape across the domain (Pearson correlation coefficient <span><math><mrow><mi>r</mi><mo>&gt;</mo><mn>0</mn><mo>.</mo><mn>8</mn></mrow></math></span>) and matches surveyed high-water marks within <span><math><mo>±</mo></math></span>1 m (MAE of 0.71 m). Compared to FEMA’s NFHL, XWM predicts 40% more overbank inundation on low-order tributaries, a finding corroborated by post-event NOAA and CAP aerial imagery. These findings highlight hidden headwater flood exposure in steep Appalachian catchments and support integrating watershed-scale, meter-resolution hydraulics into regional risk assessments and emergency planning.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103167"},"PeriodicalIF":5.0,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079808","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}

{"title":"Decoupling evolution of water scarcity —— Based on improved water scarcity footprint considering quantity, quality and environmental flow requirement","authors":"Zhiliang Xu ,&nbsp;Changxin Xu ,&nbsp;Li Yang ,&nbsp;Xueli Chen ,&nbsp;Malin Song","doi":"10.1016/j.ejrh.2026.103155","DOIUrl":"10.1016/j.ejrh.2026.103155","url":null,"abstract":"<div><h3>Study region</h3><div>This study focuses on mainland China, covering 30 provinces.</div></div><div><h3>Study focus</h3><div>To explore the relationship between water scarcity induced by water use, rather than water use volume per se, and economic growth, this study establishes an improved integrated water scarcity footprint (<span><math><mi>IWSF</mi></math></span>) considering water quantity, quality and environmental flow requirements (<span><math><mi>EFR</mi></math></span>). Building on a comparison with the conventional water footprint (<span><math><mi>WF</mi></math></span>) at the sectoral level, the study examines the evolution of decoupling from economic growth, the underlying driving effects, and their heterogeneity across industries.</div></div><div><h3>New hydrological insights for the region</h3><div>The water footprint results show that, at both the regional and sectoral levels, <span><math><mi>IWSF</mi></math></span> is greater than <span><math><mi>WF</mi></math></span> in northern provinces, whereas the opposite pattern is observed in southern provinces. Decoupling results show that, 2007–2012, <span><math><mi>IWSF</mi></math></span> decoupling was weaker than <span><math><mi>WF</mi></math></span>, while the opposite occurred in 2012–2017; Water use intensity was the key determinant of <span><math><mi>IWSF</mi></math></span> decoupling patterns; The reduction in water use intensity driven by pollution control was key to achieving strong <span><math><mi>IWSF</mi></math></span> decoupling in 2012–2017, with the primary and secondary industries contributing the most. These results indicate that the newly developed <span><math><mi>IWSF</mi></math></span> successfully captures the contribution of water pollution to water scarcity and its decoupling, whereas <span><math><mi>WF</mi></math></span>, which considers only absolute water withdrawal, cannot. This study highlights the necessity of addressing water scarcity from the perspective of impact-oriented water use.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103155"},"PeriodicalIF":5.0,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079804","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}

{"title":"A machine learning framework for runoff simulation in small catchments: Integrating atmosphere–ocean–land large-scale indices and catchment variables","authors":"Chenzhi Ma ,&nbsp;Jing Chen ,&nbsp;Junqiang Yao ,&nbsp;Zhi Li","doi":"10.1016/j.ejrh.2026.103181","DOIUrl":"10.1016/j.ejrh.2026.103181","url":null,"abstract":"<div><h3>Study region</h3><div>Cherchen River catchment.</div></div><div><h3>Study focus</h3><div>This study presents a machine learning framework that integrates Extra Trees with Shapley Additive Explanations for variable selection, and adopts an Extended Long Short-Term Memory network as the core model for monthly runoff simulation. The framework considers multiple variables including atmosphere–ocean–land large-scale indices and catchment variables, and effectively identifies the top 10 key variables for runoff simulation from 756 variables. This study focuses on developing a runoff simulation framework for small catchments that generalizes across diverse hydrological conditions, while remaining effective under high dimensional inputs and limited local hydrological data.</div></div><div><h3>New hydrologic Insights</h3><div>In the Cherchen River catchment, annual runoff exhibited a significant increasing trend of 7.29 m³ s⁻¹ a⁻¹ from 1991 to 2021. Runoff variation is strongly influenced by local meteorological and hydrothermal conditions, such as wind speed and air temperature, and is also significantly associated with sea surface temperature variability in the Indian Ocean Warm Pool. In addition, large-scale circulation patterns, including the East Asian trough, the Northern Hemisphere polar vortex, and the mid-tropospheric geopotential height field over the Tibetan Plateau, play a secondary role relative to these factors. The framework proposed in this study achieves robust performance on the annual (MAE = 1.27 ×10⁷m³, RMSE = 1.34 ×10⁷m³, and R² = 0.99) and monthly (MAE = 7.03 ×10⁶m³, RMSE = 8.83 ×10⁶m3, and R² = 0.95) scales.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103181"},"PeriodicalIF":5.0,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079702","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}

{"title":"Scale-dependent flood response to land use dynamics in the Jinxiuchuan Reservoir watershed, China","authors":"Yinuo Wang ,&nbsp;Yufei Jiao ,&nbsp;Xiaonong Hu ,&nbsp;Chuanshun Zhi ,&nbsp;Fulin Li ,&nbsp;Jiahao Cheng","doi":"10.1016/j.ejrh.2026.103182","DOIUrl":"10.1016/j.ejrh.2026.103182","url":null,"abstract":"<div><h3>Study region</h3><div>Jinxiuchuan Reservoir watershed (JRW), located in the southern mountainous area of Jinan City, Shandong Province, China.</div></div><div><h3>Study focus</h3><div>This study investigates the flood response to land use/land cover (LULC) changes in the JRW. Using the distributed HEC-HMS hydrological model, flood simulations were conducted at both the watershed and sub-watershed scales under four LULC scenarios for 1990, 2000, 2010, and 2020, quantifying the impacts of urbanization-induced LULC changes on flood volume and peak discharge.</div></div><div><h3>New hydrological insights for the region</h3><div>The results reveal distinct differences in the response magnitude of floods of different sizes under LULC changes, as well as pronounced spatial heterogeneity at the sub-watershed scale. At the watershed scale, LULC changes exert the strongest influence on small-volume and small-peak floods, while large-magnitude floods show weaker responses. At the sub-watershed scale, the southern sub-watersheds exhibit stronger responses due to more substantial land cover changes. Additionally, CN values and impervious surface ratios show overall significant positive correlations at the watershed scale, with stronger relationships for small- and medium-magnitude floods, but weaker for large floods. In sub-watershed W410, a localized deviation was observed, characterized by a slight increase in impervious surface ratio and a marginal decrease in CN, which is consistent with the spatial heterogeneity of hydrological responses under mixed land surface conditions.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103182"},"PeriodicalIF":5.0,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079704","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}

{"title":"Driving mechanisms and nonlinear responses of ecological drought in Northern China's Agro-Pastoral Ecotone","authors":"Yaoyuan Fan ,&nbsp;Jian Zhang ,&nbsp;Asim Biswas ,&nbsp;Siyi Cheng ,&nbsp;Xiaoran Ren ,&nbsp;Chunhui Zhan","doi":"10.1016/j.ejrh.2026.103174","DOIUrl":"10.1016/j.ejrh.2026.103174","url":null,"abstract":"<div><h3>Study region</h3><div>Northern China's Agro-Pastoral Ecotone (APENC, 2000–2022) was selected as a climatically sensitive transition belt from semi-arid to semi-humid conditions.</div></div><div><h3>Study focus</h3><div>We developed a kernel Temperature–Vegetation Dryness Index (kTVDI) that exploits the kernel Normalized Difference Vegetation Index to overcome spectral saturation, and coupled it with XGBoost–SHAP and Generalized Additive Models to decode nonlinear drought drivers. Validated against an independent soil moisture dataset, kTVDI demonstrated superior sensitivity (ρ = −0.604 vs. −0.533 for TVDI) and stronger agreement with solar-induced chlorophyll fluorescence (SIF), supporting its use as an improved ecological drought indicator. Over 2000–2022 regional drought declined significantly (–1.328 × 10⁻³ yr⁻¹, p &lt; 0.01), but spatial heterogeneity persisted: south-eastern alleviation vs. north-western intensification.</div></div><div><h3>New hydrological insights for the region</h3><div>Temperature universally dominates (32.92–52.24 % SHAP importance), yet land-use/land-cover restructures secondary controls: vegetated systems exhibit evapotranspiration-regulated water balance, whereas deserts display precipitation-limited dynamics amplified by human disturbance. Critical thresholds marking energy–water regime shifts are 6.6 °C for temperature, 387 mm yr⁻¹ for evapotranspiration and 54.2 % for relative humidity. Interaction analysis further reveals land-use-specific synergies (humidity–soil in croplands, soil–topography in forests, topography–precipitation–human activity in deserts), underscoring ecosystem-dependent vulnerability. This interpretable framework advances process-based drought understanding in ecotones and furnishes quantitative thresholds for adaptive management under global change.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103174"},"PeriodicalIF":5.0,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079701","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}

{"title":"Synergistic architecture of conventional GRACE filters: Global generality to region-specific optimal filtering via multiscale hydrologic validation","authors":"Xiaohui Wu,&nbsp;Yunlong Wu,&nbsp;Sulan Liu,&nbsp;Qi Liu,&nbsp;Danyi Hu","doi":"10.1016/j.ejrh.2026.103180","DOIUrl":"10.1016/j.ejrh.2026.103180","url":null,"abstract":"<div><h3>Study region</h3><div>This study is global in scope, providing a framework with regional applicability. We validate the methodology across 40 river basins and Lakes Victoria and Nasser, ensuring broad relevance under diverse hydrological conditions.</div></div><div><h3>Study focus</h3><div>This study aims to evaluate the performance of traditional spatial-domain decorrelation filters at the basin scale. We proposed a collaborative filtering framework to integrate and enhance filter stability while addressing the boundary issues inherent in conventional filters. We summarized the operational principles of the collaborative filter and provided filtering recommendations across different latitudes, offering more robust solutions for small-scale regions.</div></div><div><h3>New hydrological insights for the region</h3><div>Our analysis reveals that the synergistic architecture effectively overcomes boundary effects inherent in traditional filters through a latitude-dependent strategy. The proposed YAV mode is critical for low-latitude regions, effectively mitigating high-frequency striping noise to recover masked tropical signals and enable the monitoring of small-scale lakes. Conversely, the SAY and SAV modes ensure signal stability in mid-to-high latitudes by avoiding leakage. Quantitative results demonstrate that this framework improves the proportion of high signal-to-noise ratio results by 10 %–15 % in noise-prone areas. Ultimately, this approach enhances the detection of extreme hydrological events and offers a robust, extendable baseline for future gravity missions.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103180"},"PeriodicalIF":5.0,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079828","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}

{"title":"Effects of ecological and environmental factors on water use efficiency of major terrestrial ecosystem in China","authors":"Ping Yue ,&nbsp;Xueyuan Ren ,&nbsp;Qiang Zhang ,&nbsp;Jinhu Yang ,&nbsp;Suping Wang ,&nbsp;Jianshun Wang ,&nbsp;Xiaoyun Liu","doi":"10.1016/j.ejrh.2026.103176","DOIUrl":"10.1016/j.ejrh.2026.103176","url":null,"abstract":"<div><h3>Study region</h3><div>China, based on eddy covariance (EC) measurements from 52 flux sites (176 site-years) covering forest, grassland, and cropland ecosystems.</div></div><div><h3>Study focus</h3><div>This study investigates spatial variation in annual water use efficiency (<em>WUE</em>) – a key indicator of carbon-water interactions – across Chinese terrestrial ecosystems, previously unanalyzed using EC data. We assessed the distribution of <em>WUE</em> and its responses to physiological, climatic (temperature, precipitation), soil-atmospheric (soil water content, vapor pressure deficit, soil drought stress index), and ecosystem drivers (leaf area index), with emphasis on differences among forest, grassland, and cropland.</div></div><div><h3>New hydrological insights for the region</h3><div>Growing season <em>WUE</em> averaged 1.67 ± 0.55 g C kg⁻¹ H₂O across all site-years. Forests exhibited significantly higher <em>WUE</em> (2.13 ± 0.26 g C kg⁻¹ H₂O) compared to croplands (1.61 ± 0.39 g C kg⁻¹ H₂O) and grasslands (1.56 ± 0.47 g C kg⁻¹ H₂O). <em>WUE</em> responded positively to increases in temperature, precipitation, and soil water content, both directly and indirectly via enhanced leaf area index; forests showed the lowest sensitivity. Threshold annual soil drought stress index (<em>DSI</em>) values of 0.38 (forest), 0.45 (grassland), and 0.52 (cropland) differentiated wet and drought conditions. Ecosystem carbon-water coupling is primarily governed by surface conductance (<em>Gs</em>). These findings reveal fundamental spatial patterns of <em>WUE</em> and provide a novel approach for regional carbon budget assessments.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103176"},"PeriodicalIF":5.0,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079805","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}

{"title":"Arid climate and seawater intrusion amplify the threat of sulfate rather than nitrate in the coastal aquifer of China's Yellow River Delta","authors":"Li Zhang ,&nbsp;Jinli Cui ,&nbsp;Xueqing Zhang ,&nbsp;Xingxing Du ,&nbsp;Suhua Meng ,&nbsp;Xiangxiang Cui","doi":"10.1016/j.ejrh.2026.103169","DOIUrl":"10.1016/j.ejrh.2026.103169","url":null,"abstract":"<div><h3>Study region</h3><div>The Yellow River Delta located in Shandong Province, northern China.</div></div><div><h3>Study focus</h3><div>The contamination dynamics and potential sources of groundwater SO₄^2- and NO₃^- are potentially affected by two worldwide issues: climate change-induced precipitation and seawater intrusion. This study investigated how seasonal precipitation and seawater intrusion impact SO₄^2- and NO₃^- in the coastal groundwater of the Yellow River Delta.</div></div><div><h3>New hydrological insights for the region</h3><div>The results indicated significant degradation in the groundwater quality, with 95 % of the samples exceeding China's drinking water standard for SO₄^2- (mean concentration: 829 mg/L), and 27 % exceeding the standard for NO₃^- (mean concentration: 55.0 mg/L). Health risk assessment confirmed nonnegligible noncarcinogenic risks, which were exacerbated by an arid climate. Notably, the risk was attributed primarily to overlooked SO₄^2- rather than NO₃^-. Isotopic analysis using a Bayesian isotope mixing model revealed that SO₄^2- was derived mainly from evaporite dissolution (47.3 ± 19.7 %), followed by sewage (14.8 ± 6.9 %) and seawater (12.3 ± 3.9 %). This contamination was further promoted by seawater intrusion via stronger evaporite dissolution processes, particularly during the early rainy season. In contrast, NO₃^- was less sensitive to rainfall variation and seawater intrusion and was primarily affected by anthropogenic activities, including those related to sewage (57.9 ± 10.9 %), soil nitrogen (29.0 ± 8.7 %) and fertilizers (8.3 ± 3.1 %). Our work confirmed that the flocculation of SO₄^2- and NO₃^- in coastal groundwater is influenced by natural processes and surface anthropogenic activities driven by seasonal precipitation, more strongly affecting on SO₄^2- than NO₃^- from seawater intrusion. The spatiotemporal findings establish a quantitative framework for managing vulnerable coastal groundwater systems in deltaic regions worldwide that face simultaneous challenges of seawater intrusion and anthropogenic pressure.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103169"},"PeriodicalIF":5.0,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079810","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}

{"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":"2026-01-24","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}