Journal of Hydrology-Regional Studies最新文献_第8页

Vegetation-driven evapotranspiration enhancements modulate the climate in the Nile River basin 植被驱动的蒸散发增强调节了尼罗河流域的气候

IF 5 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2026-04-01 Epub Date: 2026-01-22 DOI: 10.1016/j.ejrh.2026.103152

Samuale Tesfaye , Gebeyehu Taye , Dirk Hölscher

Study region

Nile River basin (NRB), Northeastern Africa.

Study focus

Despite substantial recent vegetation changes in the NRB, their influence on local temperature and precipitation remains uncertain, limiting effective climate adaptation, land management, and water-resource planning in this region. This study examines how vegetation dynamics affect regional climate and the biogeophysical mechanisms driving vegetation–climate feedbacks from 1982 to 2020 using the Community Earth System Model version 2 (CESM2), combined with long-term remote sensing data and a regression model capturing bidirectional interactions between leaf area index (LAI) and climate variables.

New hydrological insights for the region

About 54 % of the basin’s vegetated areas show significant increases in LAI. In most regions, enhanced vegetation density exerts a cooling effect through increased evapotranspiration, reducing temperature across 43 % of vegetated land, particularly in forest- and shrub-dominated areas. However, in high-elevation regions of Ethiopia, Kenya, and Uganda, vegetation induced surface warming effect by reducing albedo and enhancing solar energy absorption. Overall, vegetation change contributes to a net basin cooling of 0.02 ± 0.006 °C per decade, offsetting 9.5 ± 2.9 % of NRB warming over 39 years. Impacts on precipitation are weak and spatially inconsistent, with only semi-arid regions showing slight positive feedback. Seasonal variability is strong, evapotranspiration-driven cooling and positive precipitation responses dominate June–September and October–January, whereas radiative warming and negative precipitation responses prevail from February–May. Non-radiative processes are the primary drivers of climate responses to vegetation change. These findings highlight the importance of incorporating vegetation dynamics into climate mitigation, adaptation strategies, and model refinement.

研究区域尼罗河流域（NRB），非洲东北部。研究重点：尽管北北纬带最近发生了大量植被变化，但它们对当地温度和降水的影响仍然不确定，限制了该地区有效的气候适应、土地管理和水资源规划。利用社区地球系统模型第2版（CESM2），结合长期遥感数据和叶面积指数（LAI）与气候变量之间的双向相互作用回归模型，研究了1982 - 2020年植被动态对区域气候的影响以及驱动植被-气候反馈的生物地球物理机制。大约54% %的流域植被面积显示出LAI的显著增加。在大多数地区，植被密度的增加通过增加蒸散作用产生降温效果，降低了43% %的植被地的温度，特别是在森林和灌木为主的地区。然而，在埃塞俄比亚、肯尼亚和乌干达等高海拔地区，植被通过降低反照率和增强太阳能吸收来诱导地表增温效应。总体而言，植被变化对流域净降温的贡献为0.02 ± 0.006°C / 10年，抵消了39年来NRB升温的9.5% ± 2.9 %。对降水的影响较弱且空间不一致，只有半干旱区表现出轻微的正反馈。季节变率较强，6 - 9月和10 - 1月以蒸散发驱动的降温和正降水响应为主，2 - 5月以辐射增温和负降水响应为主。非辐射过程是气候对植被变化响应的主要驱动因素。这些发现强调了将植被动态纳入气候减缓、适应战略和模型改进的重要性。

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引用次数: 0

Synergistic dynamics and driving mechanisms of land cover and evapotranspiration under multi-scenario projections from the Pearl River Basin 珠江流域多情景预测下土地覆盖与蒸散的协同动力学及驱动机制

IF 5 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2026-04-01 Epub Date: 2026-01-20 DOI: 10.1016/j.ejrh.2026.103149

Han Zhong , Benbo Tan , Junyi Zhang , Mingxu Peng , Jianpei Feng , Shichuang Weng , Yujie Zhao , Chuanfu Zang

Study region

The Pearl River Basin (China).

Study focus

This study examined the synergistic dynamics between land cover and evapotranspiration (ET) components, including evaporation (E), transpiration (T), under three scenarios—business as usual (BAU), carbon neutrality target (CNT), and economic development priority (EDP) from 2021 to 2050. Using the Shuttleworth-Wallace-Hu (SWH) model, we simulated E, T and ET at high resolution and quantified the contributions of E and T to ET variations, as well as the interactions among vegetation, climate variables, and topography.

New hydrogeological insights from the region

The study reveals pronounced synergy between land-cover change and ET dynamics across the basin. Under CNT, marked expansion of forest and water bodies coincides with only modest increases in ET, whereas conversion of farmland to urban land in the Greater Bay Area elevates E with negligible change in T. T accounts for a larger share of ET variability than E, indicating T’s central role in regional water–energy coupling. Interaction analysis shows vegetation dominates through synergistic effects with temperature, precipitation and elevation, suggesting a “vegetation–climate–topography” co-regulation mechanism of T. These findings offer empirical evidence and a practical framework for integrated watershed water-resource management and scenario-informed planning.

研究区域：中国珠江流域。本研究考察了2021 - 2050年三种情景下土地覆盖与蒸散（ET）组分(包括蒸发（E)、蒸腾(T)）之间的协同动态关系，即“一切照常”（BAU）、“碳中和目标”（CNT）和“经济发展优先”（EDP）。利用Shuttleworth-Wallace-Hu （SWH）模式模拟了高分辨率的E、T和ET，量化了E和T对ET变化的贡献，以及植被、气候变量和地形之间的相互作用。该研究揭示了整个盆地的土地覆盖变化和ET动态之间明显的协同作用。在CNT下，森林和水体的显著扩张与ET的适度增加相一致，而在大湾区，农田向城市用地的转变使ET升高，而T的变化可以忽略不计，T在ET变率中所占的份额大于E，表明T在区域水能耦合中起着核心作用。交互作用分析表明，植被通过与温度、降水和海拔的协同作用发挥主导作用，表明t存在“植被-气候-地形”协同调节机制。这些发现为流域水资源综合管理和情景规划提供了经验证据和实践框架。

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引用次数: 0

Spatio-temporal dynamics and drivers of drying conditions in the HRB: Unraveling the role of precipitation intensity and total precipitation in drying risk 干旱区干旱条件的时空动态和驱动因素：揭示降水强度和总降水量在干旱风险中的作用

IF 5 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2026-04-01 Epub Date: 2026-01-21 DOI: 10.1016/j.ejrh.2026.103126

Yang Cao , Xin Wang , Congsheng Fu , Xianyong Meng , Jiejie Lyu , Jie Zhang , Hui Liu , Huijun Zheng , Hongliang Zhang , Miaomiao Zhang

Study region: The Hangbu River Basin (HRB), located in eastern China, is the largest sub-basin of the Chaohu Lake Basin.

Study focus

In recent decades, the HRB has experienced increased drying and spatial heterogeneity in its hydrological conditions, despite no significant trend in total precipitation in the region. To address this, this study integrates 65 years (1959–2023) of meteorological and hydrological data with the Palmer Drought Severity Index (PDSI), the Soil and Water Assessment Tool (SWAT) hydrological model, and multiple trend analysis methods to reveal the basin’s dry-wet characteristics and the driving mechanisms. The specific objectives are to: (i) analyze the spatio-temporal heterogeneity of precipitation and hydrological components within the basin; and (ii) quantify the spatial differences in dry-wet characteristics and elucidate the underlying precipitation patterns that shape the basin’s hydrological regimes.

New hydrological insights for the region

Our results reveal that (1) The downstream area frequently experiences years with high precipitation intensity (independent variable x) but low total precipitation (dependent variable y) (with a smaller linear slope, k = 36), which exacerbates the drying risk; (2) In contrast, the upstream region experiences years with high precipitation intensity and high total precipitation (with a larger linear slope, k = 189), which reduces the drying risk. Our findings highlight that the linear structure of precipitation is a key determinant of regional wet-dry conditions.

研究区域：汉步河流域位于中国东部，是巢湖流域最大的子流域。近几十年来，尽管该地区总降水量没有明显的变化趋势，但青藏高原的干旱程度和水文条件的空间异质性有所增加。为解决这一问题，本研究将1965年（1959-2023）的气象水文资料与Palmer干旱严重指数（PDSI）、水土评估工具（SWAT）水文模型以及多种趋势分析方法相结合，揭示了流域干湿特征及其驱动机制。具体目标是：(i)分析流域内降水和水文成分的时空异质性；（ii）量化干湿特征的空间差异，阐明形成流域水文制度的潜在降水模式。结果表明：(1)下游地区经常经历降水强度高（自变量x）但总降水量低（因变量y）的年份（线性斜率较小，k = 36），这加剧了干旱风险；(2)上游地区降水强度大、总降水量大（线性斜率较大，k = 189），干旱风险降低。我们的研究结果强调，降水的线性结构是区域干湿条件的关键决定因素。

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引用次数: 0

Effects of ecological and environmental factors on water use efficiency of major terrestrial ecosystem in China 生态环境因子对中国主要陆地生态系统水分利用效率的影响

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.2026.103176

Ping Yue , Xueyuan Ren , Qiang Zhang , Jinhu Yang , Suping Wang , Jianshun Wang , Xiaoyun Liu

Study region

China, based on eddy covariance (EC) measurements from 52 flux sites (176 site-years) covering forest, grassland, and cropland ecosystems.

Study focus

This study investigates spatial variation in annual water use efficiency (WUE) – a key indicator of carbon-water interactions – across Chinese terrestrial ecosystems, previously unanalyzed using EC data. We assessed the distribution of WUE 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.

New hydrological insights for the region

Growing season WUE averaged 1.67 ± 0.55 g C kg⁻¹ H₂O across all site-years. Forests exhibited significantly higher WUE (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). WUE 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 (DSI) 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 (Gs). These findings reveal fundamental spatial patterns of WUE and provide a novel approach for regional carbon budget assessments.

基于覆盖森林、草地和农田生态系统的52个通量站点（176个站点年）的涡动相关方差（EC）测量数据，研究区域为中国。本研究调查了中国陆地生态系统年度水资源利用效率（WUE）的空间变化，这是碳-水相互作用的一个关键指标，以前未使用EC数据进行分析。我们评估了水分利用效率的分布及其对生理、气候（温度、降水）、土壤-大气（土壤含水量、蒸汽压亏缺、土壤干旱胁迫指数）和生态系统驱动因素（叶面积指数）的响应，重点分析了森林、草地和农田之间的差异。在所有站点年里，生长季节的WUE平均为1.67 ± 0.55 g C kg⁻¹ H₂O。森林表现出显著提高WUE(2.13 ±0.26  g C公斤⁻¹H₂O)相比,农田(1.61 ±0.39  g C公斤⁻¹H₂O)和草原(1.56 ±0.47  g C公斤⁻¹H₂O)。水分利用效率通过叶面积指数的增加直接或间接地响应温度、降水和土壤含水量的增加；森林表现出最低的敏感性。土壤干旱胁迫指数（DSI）的阈值分别为0.38（森林）、0.45（草地）和0.52（农田）。生态系统碳-水耦合主要受地表电导（Gs）控制。这些发现揭示了水资源利用的基本空间格局，为区域碳预算评估提供了一种新的方法。

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引用次数: 0

Seasonal groundwater–salinity dynamics and climate-driven saltwater intrusion in Coastal South Florida 南佛罗里达沿海地区季节性地下水-盐度动态和气候驱动的盐水入侵

IF 5 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2026-04-01 Epub Date: 2026-01-13 DOI: 10.1016/j.ejrh.2026.103117

Mohana Debnath, Nasrin Alamdari

Study region

Miami-Dade County, Florida.

Study focus

Coastal aquifers in South Florida face growing exposure to saltwater intrusion (SWI) driven by sea-level rise, climate variability, and groundwater withdrawal. This study presents a high-resolution, seasonally focused analysis of groundwater–salinity interactions under two climate scenarios (SSP2–4.5 and SSP5–8.5). Using statistically downscaled CMIP6 projections, a MODFLOW-based groundwater model, and explainable AI methods, we evaluate how precipitation patterns, groundwater levels, and SWI evolve over time and vary across three aquifer layers.

New hydrologic insights

Results show nonlinear and delayed seasonal feedbacks across aquifer depths. In the shallow layer, SWI increased by 10.6 % during fall under SSP5–8.5, compared with a 7.1 % increase during summer under SSP2–4.5, highlighting scenario-dependent seasonal shifts in intrusion peaks. Although wet-season precipitation anomalies exceeded 350 %, intense rainfall reduced infiltration efficiency and limited recharge, contributing to greater SWI penetration into deeper zones. Granger causality analysis indicated more than a 250 % increase in feedback strength between consecutive seasons under SSP5–8.5, reflecting stronger temporal coupling. The Random Forest model reached 77 % accuracy and 94 % recall for high-salinity conditions, and SHAP analysis identified hydraulic gradient, coastal distance, and structural proximity as the most influential predictors. Spatial mapping showed that the deepest layer experienced the widest inland salinization, occurring alongside groundwater drawdown. A structural change around 2020 marked accelerated SWI advancement, with annual expansion rates in shallow aquifers exceeding 50 %. Overall, this integrated framework improves understanding of seasonal SWI patterns and provides information to support adaptive groundwater management in climate-stressed coastal regions.

研究区域：佛罗里达州迈阿密-戴德县。在海平面上升、气候变化和地下水抽取的驱动下，南佛罗里达州的沿海含水层面临越来越多的盐水入侵（SWI）。本研究提出了两种气候情景（SSP2-4.5和SSP5-8.5）下地下水-盐度相互作用的高分辨率季节性分析。利用统计上缩小的CMIP6预测、基于modflow的地下水模型和可解释的人工智能方法，我们评估了降水模式、地下水水位和SWI如何随时间演变，以及在三个含水层之间的变化。新的水文见解结果显示了跨含水层深度的非线性和延迟季节性反馈。在SSP5-8.5下，浅层SWI在秋季增加了10.6 %，而在SSP2-4.5下，夏季增加了7.1 %，突出了入侵峰值的情景依赖的季节变化。尽管雨季降水异常超过350 %，但强降雨降低了入渗效率，限制了补给，导致SWI向较深层渗透。格兰杰因果分析表明，在SSP5-8.5条件下，连续季节间反馈强度增加了250 %以上，反映出较强的时间耦合。随机森林模型在高盐度条件下达到77 %的准确率和94 %的召回率，而SHAP分析确定水力梯度、海岸距离和结构接近度是最具影响力的预测因素。空间制图显示，最深层经历了最广泛的内陆盐渍化，与地下水下降同时发生。2020年左右的结构变化标志着SWI的加速发展，浅层含水层的年扩张率超过50% %。总体而言，这一综合框架提高了对季节性SWI模式的理解，并为支持气候压力沿海地区的适应性地下水管理提供了信息。

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引用次数: 0

Flood susceptibility mapping in the Gumara watershed Upper Blue Nile Basin Ethiopia: AHP and Sentinel-1 SAR analysis 埃塞俄比亚上青尼罗河流域古马拉流域洪水易感性制图：AHP和Sentinel-1 SAR分析

IF 5 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2026-04-01 Epub Date: 2026-01-13 DOI: 10.1016/j.ejrh.2026.103130

Temesgen T. Mihret , Fasikaw F. Cherie , Fasikaw A. Zemale

Study Region

The Gumara Watershed in Ethiopia’s Upper Blue Nile Basin is highly prone to flooding that damages crops, homes, and infrastructure. Steep slopes, intense seasonal, and land use changes increase flood risk.

Study Focus

This study assessed flood susceptibility using the Analytical Hierarchy Process (AHP) and compared results with flood extent mapped from Sentinel-1 Synthetic Aperture Radar (SAR) imagery. Ten factors were used: Drainage Density (DD), Topographic Wetness Index (TWI), Distance to River (DR), Elevation, Slope, Hillshade, Aspect, Rainfall, Normalized Difference Vegetation Index (NDVI), and Land Use/Land Cover (LULC). Validation was performed using 74 ground truth flood points collected from field surveys and local records to evaluate the agreement between the AHP susceptibility map and the SAR-derived flood map.

New Hydrological Insights for the Region

Results showed that 78 % of the watershed lies within Moderate to Very High susceptibility zones according to AHP, while SAR indicated that 73 % of the area was flooded. Rainfall, Elevation, and Slope were the most influential factors, followed by DD, LULC, and DR, while Aspect and Hillshade had minor effects. ROC analysis showed moderate accuracy for AHP (AUC = 0.79) and higher accuracy for SAR (AUC = 0.91). The comparison indicates that AHP identifies likely flood-prone areas, while SAR maps actual flood extent. These findings support flood risk management, early warning systems, and watershed planning in data-scarce regions.

研究区域：埃塞俄比亚上青尼罗河流域的古马拉流域极易发生洪水，洪水会破坏庄稼、房屋和基础设施。陡峭的山坡、强烈的季节性和土地利用变化增加了洪水的风险。本研究使用层次分析法（AHP）评估了洪水敏感性，并将结果与Sentinel-1合成孔径雷达（SAR）图像绘制的洪水范围进行了比较。采用10个因子：排水密度（DD）、地形湿度指数（TWI）、距河距离（DR）、高程、坡度、遮荫、坡向、降雨量、归一化植被指数（NDVI）和土地利用/土地覆盖（LULC）。利用从实地调查和当地记录收集的74个地面真实洪水点进行验证，以评估AHP敏感性图与sar衍生洪水图之间的一致性。结果表明，根据AHP， 78 %的流域处于中度至极高易感区，而SAR显示73 %的流域被淹没。降雨、高程和坡度是影响最大的因子，其次是DD、LULC和DR，而坡向和Hillshade的影响较小。ROC分析显示AHP准确度中等（AUC = 0.79）， SAR准确度较高（AUC = 0.91）。比较表明，AHP识别可能发生洪水的地区，而SAR绘制实际洪水范围。这些发现为数据匮乏地区的洪水风险管理、早期预警系统和流域规划提供了支持。

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引用次数: 0

Evaluating the impacts of green infrastructure on urban runoff attributes using detailed fine-scale hydrologic modeling 利用精细水文模型评估绿色基础设施对城市径流属性的影响

IF 5 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2026-04-01 Epub Date: 2026-01-16 DOI: 10.1016/j.ejrh.2026.103128

Meysam Kamali , Husnain Tansar , Ebrahim Ahmadisharaf , Nasrin Alamdari

Study region

Hillsborough Watershed (374 km²) in Midwest Florida.

Study focus

Green infrastructures (GIs) are implemented in urban areas to restore natural hydrology. Past studies have evaluated the performance of GIs for runoff reduction, but detailed fine-scale models have been rarely applied. Here, we evaluated the performance of GIs at two scales—fine-scale (3800 subwatersheds) and full watershed—under various rainfall intensities (2- to 200-yr) using Storm Water Management Model (SWMM). Six GI scenarios—individual (bioretention [BR], grassed swale [GS], green roof [GR], rain barrel [RB], cistern [CS] and infiltration trench [IT]), suitability-based (maximum one GI in each subwatershed) and combined—were evaluated considering ∼18,000 hydraulic structures ("detailed" component of our modeing).

New hydrological insights for the region

With 26.8–29.1 % reduction of runoff volume and 78.6–82.4 % of peak, IT showed the best performance at the fine-scale under the 5-yr rainfall event. A combination of BR, GS, IT and CS outperformed the individual GI scenarios in reducing runoff volume (up to 78.6 %). Subwatersheds with larger imperviousness benefited most from BR, RB, CS and IT in terms of runoff volume reductions because of the higher retrofit rate. The efficiency of GR for delaying time-to-peak was less in more intense rainfall events. Our comparisons showed that fine-scale modeling revealed subwatersheds with disproportionately high or low GI effectiveness, which were masked in the coarse-scale full watershed model.

研究区域：佛罗里达州中西部希尔斯伯勒流域（374 km2）。研究重点在市区实施绿色基础设施，以恢复自然水文。过去的研究已经评估了地理信息系统减少径流的性能，但很少应用详细的精细尺度模型。本文利用暴雨水管理模型（SWMM）对GIs在不同降雨强度（2- 200年）下的两个尺度（精细尺度（3800个子流域）和全流域）的性能进行了评估。考虑到约18,000个水轮机（我们建模的“详细”部分），我们评估了6个GI情景——单个情景（生物滞留[BR]、草地[GS]、绿色屋顶[GR]、雨桶[RB]、蓄水池[CS]和入渗沟[IT]）、基于适用性（每个子流域最多一个GI）和综合情景。在5年降雨事件下，IT在精细尺度上表现最佳，径流量减少26.8-29.1 %，峰值减少78.6-82.4 %。BR、GS、IT和CS的组合在减少径流量方面优于单个GI方案（高达78.6% %）。由于改造率较高，不透水性较大的流域从BR、RB、CS和IT中获得的径流量减少最多。在较强降雨条件下，GR延迟峰值时间的效率较低。我们的比较表明，精细尺度模型揭示了不同比例的高GI效率或低GI效率的子流域，而这些在粗尺度全流域模型中被掩盖了。

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引用次数: 0

Estimating the long-term daily evapotranspiration in the source region of the Yangtze River based on a universal trapezoid method 基于通用梯形法估算长江源区长期日蒸散量

IF 5 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2026-04-01 Epub Date: 2026-01-12 DOI: 10.1016/j.ejrh.2026.103119

Yan Li , Lin Zhao , Maoqi Lun , Feinan Xu , Lingxiao Wang , Chong Wang

Study Region

The source region of the Yangtze River (SRYR)

Study Focus

Precise estimation of evapotranspiration (ET) and its spatiotemporal dynamics is critical for assessing the water resource sustainability and future water security in the SRYR. However, accurate simulation remains challenging due to harsh environment and sparse observations. Here, the daily ET at 1 km spatial resolution during 2001–2018 in the SRYR was produced using a universal trapezoid method with parameterization of aerodynamic resistance considering the effect of the atmospheric stability on turbulent transport. In addition, the long-term spatiotemporal variations of ET and its drivers were analyzed using the produced ET dataset.

New hydrological insights

Evaluations using ET derived from eddy-covariance systems, catchment water balance, and two existing ET datasets indicated that the ET dataset is reliable for quantifying both the magnitude and variations of ET in the SRYR. Mean annual ET (2001–2008) in the SRYR is 516 mm/yr, showing a spatial decrease from southeast to northwest. A decrease trend in annual ET appears in 71.1 % of the SRYR with a mean rate of −0.81 mm/yr while an increase trend appears in 28.9 % of the SRYR with a mean rate of 0.61 mm/yr. The decreased annual ET is mainly results from the reduction of solar radiation and the increase trend is associated with the greening vegetation and the warming of climate.

研究区域长江源区蒸散发及其时空动态的精确估算是长江源区水资源可持续性和未来水安全评价的关键。然而，由于恶劣的环境和稀疏的观测，精确的模拟仍然具有挑战性。考虑大气稳定性对湍流输运的影响，采用通用梯形法对SRYR 2001-2018年1 km空间分辨率下的日ET进行了参数化处理。此外，利用生成的蒸散发数据分析了蒸散发的长期时空变化特征及其驱动因素。利用涡流协方差系统、流域水平衡和两个现有ET数据集得出的ET进行评估表明，ET数据集对于量化SRYR ET的大小和变化都是可靠的。SRYR年平均ET（2001-2008）为516 mm/yr，空间上由东南向西北递减。71.1 % SRYR的年ET呈减少趋势，平均速率为- 0.81 mm/yr； 28.9 % SRYR的年ET呈增加趋势，平均速率为0.61 mm/yr。年蒸散发减少的主要原因是太阳辐射的减少，增加的趋势与植被的绿化和气候的变暖有关。

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引用次数: 0

Numerical simulation evaluation of lithium leachate from landfills and risk to shallow groundwater 垃圾填埋场锂渗滤液的数值模拟评价及其对浅层地下水的危害

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.2026.103218

Hongbo Liu , Litang Hu , Jingrui Wang , Lei Tian , Dingwei Qi , Jianchong Sun , Junpeng Lou

Study regions

Southeast inland region of China.

Study focus

The disposal of lithium slag, a byproduct of lithium-ion battery manufacturing, presents environmental risks by altering groundwater flow and contaminant transport. Because hydrogeological conditions are complex, reliable numerical models are needed to forecast changes in groundwater flow due to landfill fills and delineate long-term diffusion pathways. This study evaluates the hydrogeological impacts of landfilling native soil and lithium slag–soil mixtures at 6:4, 7:3, and 8:2 ratios using groundwater-modeling simulations. By incorporating uncertainties in hydraulic conductivity, dispersion, adsorption, and reaction rates, we identify robust monitoring strategies under worst-case scenarios.

New hydrological insights for the region

Field-calibrated simulations show landform changes and recharge variations accelerate contaminant migration by advection and dispersion. A groundwater-table rise of 2–4 m within 3–5 years raises contamination risk, especially in unlined landfills. With parameter uncertainty, native-soil plumes can extend up to 1700 m westward in 20 years. The 8:2 slag–soil mixture with a clay cap most effectively reduces leakage by more than 30 %. Entropy-based analysis identifies two high-sensitivity zones for early detection and guides monitoring-well placement. Engineered barriers are crucial to mitigating long-term groundwater contamination from lithium-rich waste. The findings provide technical guidance for preventing pollution at landfill sites under rising groundwater. These insights support risk-based remediation planning and monitoring design for landfill sites facing rising groundwater, and inform policy decisions.

研究区域：中国东南内陆地区。锂渣是锂离子电池生产的副产品，其处理会改变地下水流动和污染物运输，从而带来环境风险。由于水文地质条件复杂，需要可靠的数值模型来预测由于垃圾填埋引起的地下水流量变化，并描绘长期扩散路径。本研究利用地下水模型模拟，评估了按6:4、7:3和8:2比例填埋原生土和锂渣-土混合物的水文地质影响。通过结合水力导电性、分散性、吸附和反应速率的不确定性，我们确定了最坏情况下的稳健监测策略。野外校准模拟显示，地形变化和补给变化通过平流和分散加速了污染物的迁移。3-5年内地下水位上升2-4 米会增加污染风险，特别是在没有衬砌的垃圾填埋场。在参数不确定的情况下，原生土羽流在20年内可向西延伸1700 m。带粘土帽的8:2渣土混合物最有效地减少泄漏超过30% %。基于熵的分析确定了两个高灵敏度区域，便于早期发现并指导监测井的布置。工程屏障对于减轻富含锂的废物对地下水的长期污染至关重要。研究结果为地下水位上升条件下垃圾填埋场污染防治提供了技术指导。这些见解支持基于风险的填埋场修复规划和监测设计，以应对地下水上升，并为政策决策提供信息。

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引用次数: 0

Wetter conditions amplify simulated deep drainage differences between grasslands and forests in the Post Oak Savanna 更潮湿的条件放大了后橡树稀树草原草原和森林之间模拟的深层排水差异

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.2026.103210

Mingxiu Wang , Briana M. Wyatt , Bradford P. Wilcox

Study region

The Post Oak Savanna (POS) ecoregion of Texas, U.S.

Study focus

Woody plant encroachment in the POS has been linked to reduced groundwater recharge, but it remains unclear whether the removal of these woody plants may increase groundwater recharge rates. To evaluate differences in recharge under contrasting vegetation covers, we simulated deep drainage at 18 paired grassland–forest sites using Hydrus-1D. The simulations were analyzed to assess spatiotemporal variability in deep drainage between paired sites, with these differences serving as a proxy for potential recharge changes due to woody plant removal. Additionally, simulations were used to identify the influence of precipitation and soil texture on the magnitude of deep drainage differences between grasslands and forests.

New hydrological insights for the region

Deep drainage was consistently higher in grasslands, which also showed greater variability, while forests had more uniformly limited deep drainage. The differences in deep drainage between forested and grassland sites were larger in wetter subregions and years, with precipitation playing a stronger role than sand content. Higher precipitation amplified deep drainage increases, and soils with lower sand content promoted stronger responses of deep drainage increases than sandier soils. These findings indicate strong promise for enhancing potential recharge through woody plant removal in the POS, but this potential is limited in the southern subregion where precipitation is low. This highlights the importance of regional differences when prioritizing restoration efforts to support groundwater sustainability.

研究区域美国德克萨斯州后橡树稀树草原（POS）生态区域木本植物的入侵与地下水补给减少有关，但目前尚不清楚这些木本植物的移除是否会增加地下水补给率。为了评估不同植被覆盖下补给的差异，我们使用Hydrus-1D模拟了18个成对的草地-森林样地的深层排水。研究人员分析了模拟结果，以评估配对地点之间深层排水的时空差异，并将这些差异作为木本植物移除导致的潜在补给变化的代理。此外，利用模拟方法确定了降水和土壤质地对草地和森林深层排水差异大小的影响。草原的深层排水始终较高，也表现出更大的变异性，而森林的深层排水则更均匀地有限。森林和草地在深层排水方面的差异在更湿润的分区和年份中更大，降水的作用强于含沙量。高降水放大了深排水增加，含沙量低的土壤对深排水增加的响应强于含沙量大的土壤。这些发现表明，通过去除POS中木本植物来增加潜在补给的可能性很大，但这种潜力在降水较少的南部次区域有限。这突出了在优先考虑恢复工作以支持地下水可持续性时区域差异的重要性。

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引用次数: 0