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 Q1 WATER RESOURCES

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

Study region

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.

Study focus

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).

New hydrological insights for the region

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 R² ≈ 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.

研究区域：天山山脉是一个寒冷的高山干湿过渡带，地形复杂，雨雪混合产流。以2000-2020年19个台站的逐日降水资料为参考，对泰兰河流域及周边地区多源降水进行了评价和融合。我们使用连续（R²，MAE， RMSE， BIAS）和事件指标（POD， FAR， CSI）对六种降水产品（CHM， CMORPH, ERA5-Land, GPM IMERG， PERSIANN， TRMM）进行基准测试。为了解决非线性时空结构并利用大气控制，我们设计了一个CNN-SE-EF融合，该融合将卷积主干与挤压和激励关注以及五个协变量（2米温度、2米露点、10米风u/v、地表压力）耦合在一起。通过扩展三重配置（ETC）测试区域可转移性；通过强迫融雪径流模型（SRM）来评估水文效用。在低海拔地区，CHM和ERA5表现最好（FAR较低，POD/CSI较高，MAE/RMSE较小，BIAS接近于零），而CMORPH和PERSIANN在高海拔地区表现出较高的误报和系统性低估。CNN-SE - ef在R²/MAE/MSE上优于CNN-SE和贝叶斯平均，表现出更强的跨站稳定性，并提供优于CLDAS v2.0和GPCC的空间技能。融合降水改善了泰兰河SRM流量（校正/验证R²≈0.76/0.91；体积偏差≈12.3 %），剩余的雨季峰值偏差与简化的冰雪和路由表示有关。该方案可适用于未计量的寒冷高山盆地。

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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 Q1 WATER RESOURCES

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

Study region

Lhasa Superconducting Gravimeter (SG) Observatory, Lhasa River alluvial plain

Study focus

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.

New hydrological insights for the region

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 μGal (1 μGal = 1⋅10⁻⁸ m s^− 2), sufficient to mask contemporaneous tectonic signatures. Crucially, long-term regression identifies a persistent gravity decline of approximately –0.27 ± 0.002 μGal·a^⁻¹ 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.

研究区域拉萨河冲积平原拉萨超导重力仪观测站研究重点拉萨超导重力仪观测站是青藏高原唯一一个连续运行的超导重力仪观测站。该遗址被厚厚的第四纪沉积物所包围，为研究构造过程与水文质量再分配之间的相互作用提供了一个关键窗口。精确隔离由局部地下水储量变化引起的重力干扰对于探测地壳增厚等细微地球动力学信号至关重要。我们将高精度的SG观测、气象强迫和地下水位（2010-2020）整合到一个基于物理的一维Richards方程框架中。重建3米非饱和带土壤水分的时空演变，以准确量化局域水文动力引起的重力效应。物理模型的重建结果与小时尺度的SG残差具有很强的一致性（相关系数为0.62），显著优于ERA5（0.18）和GLDAS（0.55）等全球水文产品。地下水引起的重力波动幅值达到10.62 μGal (1 μGal = 1⋅10−8 m s− 2)，足以掩盖同生构造特征。至关重要的是，长期回归发现，由于地下水持续枯竭，重力持续下降约为-0.27 ± 0.002 μGal·a⁻¹。这一趋势占观测到的绝对重力变化率的近14% % - 40% %。因此，忽略站尺度的水文修正会导致对青藏高原地壳增厚率和莫霍沉降幅度的严重误判。

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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 Q1 WATER RESOURCES

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

Study region

Cork City, Ireland, a tidally influenced urban environment at the head of Cork Harbour.

Study focus

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.

New Hydrological Insights for the Region

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.

研究区域科克市，爱尔兰，潮汐影响的城市环境在科克港的头部。研究重点海平面上升将加剧沿海城市地下水洪涝风险。本研究通过使用快速傅立叶变换来表征潮汐信号的传播，通过分析来自三个河流测量仪和六个地下水井的连续水位数据，量化了科克市当前和未来的地下水洪水危害。开发、校准和验证了地下水模型（FEFLOW），以模拟地下水对潮汐强迫和SLR情景的响应。将模型输出整合到地理空间框架中，通过比较模拟水头与地面高程来绘制最大水头图，并识别空间脆弱性区。潮汐波动对河流附近的地下水水位有显著影响，其幅度随着内陆距离的增加而减小。地下水保留了70-100 %的河流水位波动。在目前的条件下，城市地表以上的地下水位为~ 10 %，在极端河流事件期间上升到~ 25 %。单反风险预测显示出强烈的非线性脆弱性增长：+ 0.5 m单反风险影响城市的~ 65 %；+ 1.0 m单反影响~ 90 %。含水层不连续、浅地下水位、埋在地下的水道和老化水管的渗漏都增加了风险。科克港的历史单反率（2.2 毫米/年）超过了假设值，表明临界阈值可能很快就会出现。这些发现可能有助于决策者在该地区制定可持续的地下水管理战略。

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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 Q1 WATER RESOURCES

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

Study region

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.

Study focus

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.

New hydrological insights for the region

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.

研究区域本研究考察了捷克共和国过去发生过山洪暴发的集水区，重点关注水文响应和地理参数。研究重点利用闪度指数评价夏半年洪峰流量超过一年回归期事件的水文响应。基于地理参数，采用主成分分析和k-介质聚类方法将流域划分为I-III类。为了评估捷克的山洪暴发，对捷克和欧洲的山洪暴发数据集计算了一个描述性的山洪暴发度量，从而实现了跨区域的比较。结果显示，与2005-2010年相比，2018年至2023年这段时间内，所有三个集群的1小时闪光都有所增加。闪光值最高的是一组小而陡峭的集水区，其特征是地形粗糙度高，海拔最高，河流网络密集，形状紧凑。捷克共和国的山洪与欧洲和地中海地区的山洪的比较表明，捷克的山洪通常表现出较低的单位峰值流量和1小时闪光值，尽管它们偶尔会达到在欧洲和地中海地区显著的极端强度。

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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 Q1 WATER RESOURCES

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

Study region

Jinxiuchuan Reservoir watershed (JRW), located in the southern mountainous area of Jinan City, Shandong Province, China.

Study focus

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.

New hydrological insights for the region

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.

研究区金秀川水库流域位于山东省济南市南部山区。研究重点：本研究探讨了JRW地区土地利用/土地覆盖（LULC）变化对洪水的响应。利用分布式HEC-HMS水文模型，对1990年、2000年、2010年和2020年4个城市LULC情景下的流域和次流域尺度的洪水进行了模拟，量化了城市化诱发的LULC变化对洪量和洪峰流量的影响。研究结果表明，不同规模洪水在LULC变化下的响应强度存在显著差异，且在小流域尺度上存在明显的空间异质性。在流域尺度上，LULC变化对小体积、小峰洪水的影响最大，而大震级洪水的响应较弱。在小流域尺度上，南部小流域由于土地覆被变化更大而表现出更强的响应。此外，CN值与不透水面比在流域尺度上总体呈显著正相关，在中小洪水中相关性较强，在大洪水中相关性较弱。W410子流域不透水面率略有上升，CN略有下降，存在局部偏差，这与混合陆面条件下水文响应的空间异质性相一致。

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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 Q1 WATER RESOURCES

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

Study region: Southern Appalachian headwaters of western North Carolina and eastern Tennessee, USA

Study focus: 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).

New hydrologic Insights: XWM (uncalibrated) reproduces hydrograph timing and shape across the domain (Pearson correlation coefficient

r > 0.8

) and matches surveyed high-water marks within

\pm

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.

研究重点：本研究开发并应用xla加速水模型（XWM），这是一个可微分的，平衡良好的浅水求解器，在JAX（一个Python库）中实现，以10米分辨率预测Helene的洪水，覆盖20,208平方公里（2.02亿单元）。XWM将降雨径流和开放通道液压耦合在单个网格上，并使用混合精度策略（64位累加器，32位内核）在gpu上高效运行。（未经校准的）模型性能是根据30个美国地质调查局（USGS）的仪表、2375个美国陆军工程兵团（USACE）的高水位标记以及事后美国国家海洋和大气管理局（NOAA）和民用空中巡逻队（CAP）的航空图像进行评估的。事件淹没与联邦紧急事务管理局（FEMA）国家洪水危险层（NFHL）进行了比较。新的水文见解：XWM（未校准）重现了整个区域的水文时间和形状（Pearson相关系数r>；0.8），并在±1米（MAE为0.71米）内匹配了调查的高水位标记。与FEMA的NFHL相比，XWM预测低阶支流的堤岸淹没将增加40%，这一发现得到了事后NOAA和CAP航空图像的证实。这些发现强调了在陡峭的阿巴拉契亚集水区隐藏的源头洪水暴露，并支持将流域尺度、米分辨率水力学纳入区域风险评估和应急规划。

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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 Q1 WATER RESOURCES

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

Study region

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.

Study focus

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.

New hydrological insights

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.

研究区域本研究在伊朗乌尔米亚湖盆地进行了气溶胶扩散研究，该盆地于2023年消失，这是由于管理不善和缺乏有效规划而引发的灾难。研究重点该研究介绍了由六个共识选择的数据层组成的stop - salwind框架，这些数据层由一个比率和权重评分系统处理，包括：温度、降水、盐（标准化盐度指数）和风速。它们的信息内容通过相关性来评估；虽然分数是主观的，但它们的质量可以通过类似于使用气溶胶吸收指数作为标签数据集的深度神经网络（DNN）的方法来提高。新的水文见解基本框架结果表明，数据层中的相关性是非随机信号，在三个主要盐风事件（2021/2022/2023）的混淆矩阵中实现41-60 %的“总体精度”，因此证明了stop盐风的概念。监督聚类深度神经网络进一步提高了整体准确率至80 %，曲线下面积（AUC）值持续高，超过0.9。这些发现证实了该框架的信息内容是重要的，并且通过先进的技术可以减少固有的主观性，使其适用于类似的研究领域。干燥的湖床使盆地面临长期气溶胶扩散风险，特别是在五个热点地区，影响健康、环境、农业、动植物。通过有效的规划和治理，包括恢复流入和覆盖暴露盐田的措施，可以减少全流域的风险敞口。

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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 Q1 WATER RESOURCES

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

Study region

Shashe catchment, Limpopo River basin, Zimbabwe

Study focus

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.

New hydrological insight for the region

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.

研究区域津巴布韦林波波河流域沙舍集水区研究重点沙坝是建在短暂河流上的小型结构，用于捕获和储存河流中的沙子，为缺乏正规基础设施的农村社区提供了重要的水源。虽然人们越来越认识到它们的潜在好处，但它们储存的水的时空变异性仍未得到研究。这种知识差距限制了以证据为导向的沙坝开发规划，并限制了将沙坝纳入综合储存框架，这是通过满足各种来源的储存需求来增强弹性的关键方法。为了解决这一差距，本研究利用现场数据报告了林波波河流域沙舍流域沙坝储水量的时空变化。从2024年1月至12月，每周监测5个沙坝和2个自然（即无水坝）地点的水位波动情况。结果表明，与自然场地相比，所有沙坝在旱季都大大提高了水的可用性。尽管如此，建在较大河流上的沙坝在整个旱季都能更有效地维持供水。渗流是沙坝失水的主要途径。为了充分发挥沙坝的潜力，规划者应积极考虑选址参数，即河流宽度、泥沙堆积厚度、积沙面积和集水区面积。利用这些标准为规划提供信息，可以增强沙坝的贡献和影响，建立更具弹性和可持续性的水系统。

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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 Q1 WATER RESOURCES

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

Study region

Yellow River, China

Study focus

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.

New hydrological insights

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.

研究区域：中国黄河研究重点：提供巨大经济价值和生态系统服务的河流三角洲。然而，在气候压力和人类干预的推动下，沉积物匮乏正在加速全球大型河流三角洲的土地流失和海岸线退缩。黄河三角洲（YRD）就是这些挑战的例证。2002年实施的水沙调节计划（WSRS）最初恢复了三角洲的淤积，因为在2014年之前，水库的释放和河道的侵蚀增加了泥沙的输送。该研究从多个角度评估了过去20年wrs的有效性，并利用3D数值模型探索了优化的调节方法。新的水文见解WSRS已经经历了深刻的机制转变。高效阶段（2014年之前）已经过渡到受限阶段（2018年之后），其特征是严重的水库淤积、下游河道盔甲化和有限的三角洲淤积。三角洲进积速率降低受多种因素控制：下游河道粗沙供给减少；海岸线不断凸出，潮汐流加剧；增加的泥沙系数促进近海扩散；更频繁的台风事件加强了沉积物的再分配。河流状态已经从自然状态过渡到人为控制状态，水库运行决定了水-沉积物状态。从实际出发，优化水库调控，为增强三角洲的集沙能力，促进河控三角洲的可持续发展提供了重要机遇。

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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 Q1 WATER RESOURCES

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

Study region

This research focuses on the vicinity of the A8 Metro Station in Guishan District, Taoyuan City, Taiwan, an area prone to frequent urban flooding. With storm sewer water level and surface flood depth data available, the region offers diverse rainfall conditions and topographical variations. This enables a thorough assessment of model performance for managing overflow risks and inundation.

Study focus

We propose an innovative Attentive Multilayer Perceptron (AM-MLP) architecture, comparing it against widely used sequence models (long short-term memory (LSTM), gated recurrent unit (GRU), and bidirectional LSTM (BiLSTM)). We systematically evaluate sewer water level and flood depth forecasts to test whether attention mechanisms can compensate for MLP’s weak sequence handling. A unified experimental setup ensures fair baseline comparisons, highlighting each model’s strengths and weaknesses.

New hydrological insights for the region

This study provides valuable hydrological insights for the study area around the A8 Metro Station in Guishan District, Taoyuan City, Taiwan. The results demonstrate how the AM-MLP model improves urban flood and sewer overflow predictions in regions with limited or discontinuous data. The model’s ability to capture key hydrological factors, such as variations in rainfall and drainage system limitations, allows for more accurate flood depth and sewer water level forecasts. These insights contribute to better flood risk management and urban resilience planning in regions facing extreme rainfall events.

研究区域本研究以台湾桃园市桂山区A8地铁站附近为研究对象，该区域为城市洪涝频发区。随着雨水下水道水位和地表洪水深度数据的可用性，该地区提供了不同的降雨条件和地形变化。这使得对管理溢出风险和淹没的模型性能进行全面评估成为可能。我们提出了一种创新的关注多层感知器（AM-MLP）架构，并将其与广泛使用的序列模型（长短期记忆（LSTM），门控循环单元（GRU）和双向LSTM (BiLSTM)）进行了比较。我们系统地评估下水道水位和洪水深度预测，以测试注意力机制是否可以补偿MLP的弱序列处理。统一的实验设置确保公平的基线比较，突出每个模型的优点和缺点。本研究为台湾桃园市桂山区地铁A8站周边研究区提供了有价值的水文见解。结果表明，在数据有限或不连续的地区，AM-MLP模型如何改善城市洪水和下水道溢流预测。该模型能够捕捉关键的水文因素，如降雨变化和排水系统限制，从而可以更准确地预测洪水深度和下水道水位。这些见解有助于在面临极端降雨事件的地区更好地进行洪水风险管理和城市韧性规划。

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引用次数: 0