Journal of Hydrology-Regional Studies最新文献

Improving precipitation estimation and hydrological simulation in Tianshan Mountain basins via CNN-SE-EF fusion 基于CNN-SE-EF融合的天山流域降水估算与水文模拟

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.2026.103179

Biao Cao , Qiying Yu , Yungang Bai , Zhenlin Lu , Shuo Wang , Mingsheng Wang , Hongbin Zhang , Caihong Hu

{"title":"Improving precipitation estimation and hydrological simulation in Tianshan Mountain basins via CNN-SE-EF fusion","authors":"Biao Cao , Qiying Yu , Yungang Bai , Zhenlin Lu , Shuo Wang , Mingsheng Wang , Hongbin Zhang , Caihong Hu","doi":"10.1016/j.ejrh.2026.103179","DOIUrl":"10.1016/j.ejrh.2026.103179","url":null,"abstract":"<div><h3>Study region</h3><div>The Tianshan Mountains, a cold high-mountain, arid–humid transition zone with complex topography and mixed rain–snow runoff generation. We use 2000–2020 daily data from 19 stations as reference to evaluate and fuse multi-source precipitation for hydrologic application in the Tailan River basin and surrounding areas.</div></div><div><h3>Study focus</h3><div>We benchmark six precipitation products (CHM, CMORPH, ERA5-Land, GPM IMERG, PERSIANN, TRMM) using continuous (R², MAE, RMSE, BIAS) and event metrics (POD, FAR, CSI). To address nonlinear spatiotemporal structure and leverage atmospheric controls, we design a CNN–SE–EF fusion that couples a convolutional backbone with squeeze-and-excitation attention and five covariates (2-m temperature, 2-m dew point, 10-m wind u/v, surface pressure). Regional transferability is tested via extended triple collocation (ETC); hydrologic utility is assessed by forcing the Snowmelt Runoff Model (SRM).</div></div><div><h3>New hydrological insights for the region</h3><div>At low elevations, CHM and ERA5 perform best (lower FAR, higher POD/CSI, smaller MAE/RMSE, near-zero BIAS), whereas CMORPH and PERSIANN in high relief show higher false alarms and systematic underestimation. CNN–SE–EF outperforms CNN–SE and Bayesian averaging in R²/MAE/MSE, exhibits stronger cross-station stability, and delivers spatial skill superior to CLDAS v2.0 and GPCC. Fused precipitation improves SRM streamflow in the Tailan River (calibration/validation <em>R</em>² ≈ 0.76/0.91; volume bias ≈ 12.3 %), with remaining wet-season peak biases linked to simplified snow–ice and routing representations. The scheme is transferable to ungauged cold high-mountain basins.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103179"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173806","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

Reconstruction of groundwater-induced gravity effects using a physical hydrological model at Lhasa Station, Tibetan Plateau 利用物理水文模型重建青藏高原拉萨站地下水重力效应

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.2026.103188

Qianqian He , Min Zhao , Xiaodong Chen , Miaomiao Zhang , Wanhao Wang , Jianqiao Xu , Heping Sun

{"title":"Reconstruction of groundwater-induced gravity effects using a physical hydrological model at Lhasa Station, Tibetan Plateau","authors":"Qianqian He , Min Zhao , Xiaodong Chen , Miaomiao Zhang , Wanhao Wang , Jianqiao Xu , Heping Sun","doi":"10.1016/j.ejrh.2026.103188","DOIUrl":"10.1016/j.ejrh.2026.103188","url":null,"abstract":"<div><h3>Study region</h3><div>Lhasa Superconducting Gravimeter (SG) Observatory, Lhasa River alluvial plain</div></div><div><h3>Study focus</h3><div>The Lhasa SG Observatory is the only continuously operating SG station on the Tibetan Plateau. Surrounded by thick Quaternary sediments, this site provides a critical window into the interactions between tectonic processes and hydrological mass redistribution. Precisely isolating gravity interference caused by local groundwater storage changes is essential for detecting subtle geodynamic signals, such as crustal thickening. We integrated high-precision SG observations, meteorological forcing, and in-situ groundwater levels (2010–2020) into a 1D physically-based Richards equation framework. We reconstructed the spatiotemporal evolution of soil moisture within the 3-meter unsaturated zone to accurately quantify the gravity effects induced by localized hydrological dynamics.</div></div><div><h3>New hydrological insights for the region</h3><div>The physical model’s reconstruction exhibits strong consistency with SG residuals at an hourly scale (cross-correlation coefficient: 0.62), significantly outperforming global hydrological products like ERA5 (0.18) and GLDAS (0.55). Groundwater-induced gravity fluctuations reach an amplitude of 10.62 <em>μGal</em> (1 <em>μGal</em> = 1⋅10<sup>−8</sup> <em>m s</em><sup>− 2</sup>), sufficient to mask contemporaneous tectonic signatures. Crucially, long-term regression identifies a persistent gravity decline of approximately –0.27 ± 0.002 <em>μGal</em>·<em>a</em><sup>⁻¹</sup> driven by continuous groundwater depletion. This trend accounts for nearly 14 %–40 % of the observed absolute gravity variation rate. Neglecting station-scale hydrological corrections can thus lead to substantial misjudgments of crustal thickening rates and Moho subsidence magnitudes on the Tibetan Plateau.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103188"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173846","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

Assessing coastal groundwater flooding due to groundwater emergence caused by Sea Level Rise in Cork City, Ireland 评估爱尔兰科克市海平面上升引起的地下水出现导致的沿海地下水洪水

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.2026.103205

Mohamad Soboh , Anthony Beese , Michael O’Shea

{"title":"Assessing coastal groundwater flooding due to groundwater emergence caused by Sea Level Rise in Cork City, Ireland","authors":"Mohamad Soboh , Anthony Beese , Michael O’Shea","doi":"10.1016/j.ejrh.2026.103205","DOIUrl":"10.1016/j.ejrh.2026.103205","url":null,"abstract":"<div><h3>Study region</h3><div>Cork City, Ireland, a tidally influenced urban environment at the head of Cork Harbour.</div></div><div><h3>Study focus</h3><div>Groundwater flooding risk in coastal cities is projected to intensify under sea-level rise (SLR). This study quantifies current and future groundwater flooding hazards in Cork City by analysing continuous water level data from three river gauges and six groundwater wells using Fast Fourier Transform to characterise tidal signal propagation. A groundwater model (FEFLOW) was developed, calibrated, and validated to simulate groundwater responses to tidal forcing and SLR scenarios. Model outputs were integrated into a geospatial framework to map maximum hydraulic heads and identify spatial vulnerability zones by comparing simulated heads with ground elevations.</div></div><div><h3>New Hydrological Insights for the Region</h3><div>Tidal fluctuations have a significant impact on groundwater levels near the river, with their amplitude diminishing and reducing with increasing distance inland. Groundwater retains 70–100 % of the river level fluctuations. Under current conditions, ∼10 % of the city experiences groundwater levels above ground, rising to ∼25 % during extreme river events. SLR projections show strong non-linear vulnerability growth: + 0.5 m SLR affects ∼65 % of the city; + 1.0 m SLR affects ∼90 %. Aquitard discontinuities, shallow water tables, buried channels, and leakage from ageing water mains amplify risk. Historical SLR rates in Cork Harbour (2.2 mm/year) exceed assumed values, suggesting critical thresholds may occur sooner. These findings may help decision–makers to develop sustainable groundwater management strategies in the area.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103205"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174223","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

The increasing flashiness in the Czech Republic: Natural variability or recent climate change? 捷克共和国日益耀眼的光芒：自然变异还是最近的气候变化？

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.2026.103159

Dominika Honzíčková , Monika Šulc Michalková , Marco Borga , Rudolf Brázdil , Petr Štěpánek , Pavel Zahradníček , Pavel Coufal , Zdeňka Geršlová , Martin Caletka

{"title":"The increasing flashiness in the Czech Republic: Natural variability or recent climate change?","authors":"Dominika Honzíčková , Monika Šulc Michalková , Marco Borga , Rudolf Brázdil , Petr Štěpánek , Pavel Zahradníček , Pavel Coufal , Zdeňka Geršlová , Martin Caletka","doi":"10.1016/j.ejrh.2026.103159","DOIUrl":"10.1016/j.ejrh.2026.103159","url":null,"abstract":"<div><h3>Study region</h3><div>This study examines catchments in the Czech Republic that have generated flash floods in the past, with a focus on hydrological response and physiographic parameters.</div></div><div><h3>Study focus</h3><div>The hydrological response of events with peak discharges exceeding the one-year return period during the summer half-year was evaluated using the flashiness index. Catchments were categorized into clusters I–III based on physiographic parameters, employing principal component analysis and k-medoids clustering. To evaluate Czech flash floods, a descriptive flashiness metric was computed for both the Czech and European flash-flood datasets, enabling cross-regional comparison.</div></div><div><h3>New hydrological insights for the region</h3><div>The results revealed an increase in 1-h flashiness during the recent period from 2018 to 2023 compared to 2005–2010, observed across all three clusters. The highest flashiness values were recorded in a group of small, steep catchments characterized by high terrain roughness, maximum elevations, a dense river network, and compact shape. A comparison of flash floods in the Czech Republic with those in Europe and the Mediterranean indicated that Czech flash floods generally exhibit lower unit peak discharge and 1-h flashiness values, although they can occasionally reach extreme intensities significant within the European and Mediterranean contexts.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103159"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173870","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

Scale-dependent flood response to land use dynamics in the Jinxiuchuan Reservoir watershed, China 金秀川水库流域土地利用动态的尺度依赖性洪水响应

IF 5 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2026-04-01 Epub Date: 2026-01-27 DOI: 10.1016/j.ejrh.2026.103182

Yinuo Wang , Yufei Jiao , Xiaonong Hu , Chuanshun Zhi , Fulin Li , Jiahao Cheng

{"title":"Scale-dependent flood response to land use dynamics in the Jinxiuchuan Reservoir watershed, China","authors":"Yinuo Wang , Yufei Jiao , Xiaonong Hu , Chuanshun Zhi , Fulin Li , 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":"2026-04-01","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}

引用次数: 0

Watershed-scale hydrodynamic modeling of Hurricane Helene flooding in Southern Appalachians 阿巴拉契亚南部海伦飓风洪水的流域尺度水动力模拟

IF 5 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2026-04-01 Epub Date: 2026-01-28 DOI: 10.1016/j.ejrh.2026.103167

Haochen Li , Jon Hathaway , Alberto Canestrelli

{"title":"Watershed-scale hydrodynamic modeling of Hurricane Helene flooding in Southern Appalachians","authors":"Haochen Li , Jon Hathaway , 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 km<sup>2</sup> (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>></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":"2026-04-01","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}

引用次数: 0

Introducing the STOP-SaltWind framework enhanced by deep neural networks to investigate aerosol dispersion in Lake Urmia Basin 引入深度神经网络增强的stop - salwind框架，研究乌尔米亚湖流域的气溶胶扩散

IF 5 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2026-04-01 Epub Date: 2026-01-31 DOI: 10.1016/j.ejrh.2026.103127

Aylar Azizi , Amir Asadi Vaighan , Sina Sadeghfam , Rahman Khatibi

{"title":"Introducing the STOP-SaltWind framework enhanced by deep neural networks to investigate aerosol dispersion in Lake Urmia Basin","authors":"Aylar Azizi , Amir Asadi Vaighan , Sina Sadeghfam , Rahman Khatibi","doi":"10.1016/j.ejrh.2026.103127","DOIUrl":"10.1016/j.ejrh.2026.103127","url":null,"abstract":"<div><h3>Study region</h3><div>Aerosol dispersion is investigated in this study at the basin of Lake Urmia in Iran following its disappearance in 2023, a disaster triggered by mismanagement and the absence of effective planning.</div></div><div><h3>Study focus</h3><div>The study introduces the STOP-SaltWind framework composed of six consensually-selected data layers processed by a scoring system of rates and weights, including: Temperature, Precipitation, Salt (Normalised Difference Salinity Index) and Wind speed. Their information content is assessed through correlations; although the scores are subjective, their quality can be enhanced by methods similar to deep neural networks (DNN) using aerosol absorption index as a label dataset.</div></div><div><h3>New hydrological insights</h3><div>Basic framework results show that correlation in the data layers are non-random signal, achieving 41–60 % ‘overall accuracy’ in confusion matrix across three major salt-wind events (2021/2022/2023), and hence proof-of-concept for STOP-SaltWind. A supervised clustering DNN further enhanced overall accuracy to 80 % with consistently high Area Under Curve (AUC) values exceeding 0.9. These findings confirm that the information content of the framework is significant and inherent subjectivity reducible by advanced techniques, making it applicable to similar study areas. The desiccated lakebed exposes the basin to chronic aerosol dispersion risks, particularly at five hotspots, impacting health, the environment, agriculture, flora and fauna. Basin-wide risk exposures can be reduced by effective planning and governance, including measures to restore inflows and cover the exposed saltpan.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103127"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079721","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

Optimizing the contributions of sand dam water storage through understanding their spatiotemporal variability: Evidence from the Shashe catchment, Limpopo, River Basin 基于时空变异性的沙坝蓄水贡献优化——来自林波波河流域沙舍流域的证据

IF 5 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2026-04-01 Epub Date: 2026-01-17 DOI: 10.1016/j.ejrh.2025.103102

Girma Yimer Ebrahim , Jonathan F. Lautze , Matthew McCartney , Fortune Batiya , Stephen Hussey , Joyce Dube

{"title":"Optimizing the contributions of sand dam water storage through understanding their spatiotemporal variability: Evidence from the Shashe catchment, Limpopo, River Basin","authors":"Girma Yimer Ebrahim , Jonathan F. Lautze , Matthew McCartney , Fortune Batiya , Stephen Hussey , Joyce Dube","doi":"10.1016/j.ejrh.2025.103102","DOIUrl":"10.1016/j.ejrh.2025.103102","url":null,"abstract":"<div><h3>Study region</h3><div>Shashe catchment, Limpopo River basin, Zimbabwe</div></div><div><h3>Study focus</h3><div>Sand dams, small structures built in ephemeral rivers to capture and store river flows in the sand, provide an important water source for rural communities that lack formal infrastructure. While their potential benefits are increasingly recognized, the spatiotemporal variability in the water they store remains unstudied. This knowledge gap constrains evidence-driven planning for sand dam development and limits the incorporation of sand dams into an integrated storage framework, a key approach to enhance resilience by satisfying storage needs from a diverse range of sources. To address this gap, this study uses in situ data to report on the spatiotemporal variability of water storage in sand dams in the Shashe catchment of the Limpopo River Basin. Five sand dams and two natural (i.e., undammed) sites were monitored weekly for water level fluctuations from January to December 2024.</div></div><div><h3>New hydrological insight for the region</h3><div>Results indicate that all sand dams greatly improve water availability during the dry season compared to natural sites. Sand dams built on larger rivers are nonetheless more effective at maintaining water supply throughout the dry season. Seepage is identified as the primary pathway for water loss from the sand dams. To unlock the full potential of sand dams, planners should actively consider siting parameters, namely the river width, sediment accumulation thickness, sand accumulation area, and catchment area. Utilizing these criteria to inform planning can enhance the contribution and impact of sand dams, building more resilient and sustainable water systems.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103102"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146024492","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

Advancing river management under dam regulation: Insights from the Yellow River 在大坝管理下推进河流管理：来自黄河的启示

IF 5 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2026-04-01 Epub Date: 2026-01-15 DOI: 10.1016/j.ejrh.2026.103134

Deyao Tu , Houjie Wang , Naishuang Bi , Xiao Wu , Aimei Wang , Fukang Qi , Yanguang Dou , Yupeng Ren

{"title":"Advancing river management under dam regulation: Insights from the Yellow River","authors":"Deyao Tu , Houjie Wang , Naishuang Bi , Xiao Wu , Aimei Wang , Fukang Qi , Yanguang Dou , Yupeng Ren","doi":"10.1016/j.ejrh.2026.103134","DOIUrl":"10.1016/j.ejrh.2026.103134","url":null,"abstract":"<div><h3>Study region</h3><div>Yellow River, China</div></div><div><h3>Study focus</h3><div>River deltas delivering immense economic value and ecosystem services. However, sediment starvation is accelerating land loss and shoreline retreat across worldwide mega-river deltas driven by climate stressors and human interventions. The Yellow River Delta (YRD) exemplifies these challenges. Implementation of the Water–Sediment Regulation Scheme (WSRS) in 2002 initially restored delta progradation, as reservoir releases and channel erosion increased sediment delivery before 2014. The study evaluated the effectiveness of the WSRS over the past two decades from multiple perspectives and explored an optimized regulation using a 3D numerical model.</div></div><div><h3>New hydrological insights</h3><div>The WSRS has undergone a profound mechanistic shift. A high-efficiency phase (before 2014) has transitioned to a constrained phase (after 2018), marked by severe reservoir siltation, downstream channel armoring and limited delta progradation. The reduced delta progradation rate was controlled by multiple factors: a diminished supply of coarse sediment from the lower channel; intensified tidal currents due to the continuously protruding shoreline; an increased sediment coefficient promoting offshore dispersal; and more frequent typhoon events enhancing sediment redistribution. The river regime has transitioned from a natural to an anthropogenically controlled state, where reservoir operations dictate the water-sediment regime. Optimizing the reservoir regulation based on realistic conditions presents a significant opportunity to enhance the sediment trapping capacity of the delta, thereby promoting the sustainable development of the river-dominated delta.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103134"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145981823","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

Attention in MLP: A new architecture for urban sewer overflow and flood depth prediction MLP的关注：城市下水道溢流和洪水深度预测的新架构

IF 5 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2026-04-01 Epub Date: 2026-01-17 DOI: 10.1016/j.ejrh.2025.103088

Song-Yue Yang , Bing-Chen Jhong , Rui-Wen Lin , Ming-Chang Tsai

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