Journal of Hydrology-Regional Studies最新文献_第5页

Decoupling evolution of water scarcity —— Based on improved water scarcity footprint considering quantity, quality and environmental flow requirement 水资源短缺的解耦演化——基于考虑数量、质量和环境流量需求的改进水资源短缺足迹

IF 5 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2026-01-28 DOI: 10.1016/j.ejrh.2026.103155

Zhiliang Xu , Changxin Xu , Li Yang , Xueli Chen , Malin Song

Study region

This study focuses on mainland China, covering 30 provinces.

Study focus

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 (

IWSF

) considering water quantity, quality and environmental flow requirements (

EFR

). Building on a comparison with the conventional water footprint (

WF

) at the sectoral level, the study examines the evolution of decoupling from economic growth, the underlying driving effects, and their heterogeneity across industries.

New hydrological insights for the region

The water footprint results show that, at both the regional and sectoral levels,

IWSF

is greater than

WF

in northern provinces, whereas the opposite pattern is observed in southern provinces. Decoupling results show that, 2007–2012,

IWSF

decoupling was weaker than

WF

, while the opposite occurred in 2012–2017; Water use intensity was the key determinant of

IWSF

decoupling patterns; The reduction in water use intensity driven by pollution control was key to achieving strong

IWSF

decoupling in 2012–2017, with the primary and secondary industries contributing the most. These results indicate that the newly developed

IWSF

successfully captures the contribution of water pollution to water scarcity and its decoupling, whereas

WF

, which considers only absolute water withdrawal, cannot. This study highlights the necessity of addressing water scarcity from the perspective of impact-oriented water use.

研究区域本研究以中国大陆30个省份为研究对象。为了探索水资源利用（而非用水量本身）与经济增长之间的关系，本研究考虑了水量、质量和环境流量要求（EFR），建立了改进的综合水资源稀缺足迹（IWSF）。在与行业层面的传统水足迹（WF）进行比较的基础上，本研究考察了与经济增长脱钩的演变、潜在的驱动效应以及它们在各行业之间的异质性。水足迹结果表明，在区域和部门层面上，北部省份的IWSF大于WF，而南部省份则相反。去耦结果表明，2007-2012年，IWSF去耦弱于WF， 2012-2017年反之；水资源利用强度是IWSF解耦模式的关键决定因素；2012-2017年，污染控制驱动的用水强度降低是实现IWSF强脱钩的关键，其中第一产业和第二产业贡献最大。这些结果表明，新开发的IWSF成功地捕获了水污染对水资源短缺的贡献及其解耦，而仅考虑绝对取水量的WF则不能。本研究强调了从影响导向的用水角度解决水资源短缺问题的必要性。

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引用次数: 0

A machine learning framework for runoff simulation in small catchments: Integrating atmosphere–ocean–land large-scale indices and catchment variables 小流域径流模拟的机器学习框架：整合大气-海洋-陆地大尺度指数和流域变量

IF 5 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2026-01-28 DOI: 10.1016/j.ejrh.2026.103181

Chenzhi Ma , Jing Chen , Junqiang Yao , Zhi Li

Study region

Cherchen River catchment.

Study focus

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.

New hydrologic Insights

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.

研究区域cherchen河集水区。本研究提出了一个机器学习框架，该框架集成了额外树和Shapley加性解释进行变量选择，并采用扩展长短期记忆网络作为月径流模拟的核心模型。该框架考虑了大气-海洋-陆地大尺度指数和流域变量等多个变量，并从756个变量中有效识别出径流模拟的前10个关键变量。本研究的重点是为小流域开发一个径流模拟框架，该框架适用于不同的水文条件，同时在高维输入和有限的当地水文数据下保持有效。在切尔陈河流域，从1991年到2021年，年径流量呈现出7.29 m³ s a⁻¹ 的显著增长趋势。径流变化受当地气象和热液条件（如风速和气温）的强烈影响，也与印度洋暖池的海表温度变化密切相关。东亚低槽、北半球极涡和青藏高原对流层中位势高度场等大尺度环流模式的作用相对次要。本研究提出的框架在年度（MAE = 1.27 ×107m3, RMSE = 1.34 ×107m3, R2 = 0.99）和月度（MAE = 7.03 ×106m3, RMSE = 8.83 ×106m3, R2 = 0.95）量表上均具有稳健性。

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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 : 2026-01-27 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

Driving mechanisms and nonlinear responses of ecological drought in Northern China's Agro-Pastoral Ecotone 中国北方农牧交错带生态干旱驱动机制及非线性响应

IF 5 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2026-01-27 DOI: 10.1016/j.ejrh.2026.103174

Yaoyuan Fan , Jian Zhang , Asim Biswas , Siyi Cheng , Xiaoran Ren , Chunhui Zhan

Study region

Northern China's Agro-Pastoral Ecotone (APENC, 2000–2022) was selected as a climatically sensitive transition belt from semi-arid to semi-humid conditions.

Study focus

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 < 0.01), but spatial heterogeneity persisted: south-eastern alleviation vs. north-western intensification.

New hydrological insights for the region

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.

研究区选择中国北方农牧交错带（APENC, 2000-2022）作为半干旱到半湿润气候敏感过渡带。利用核归一化植被指数克服光谱饱和，建立了核温度-植被干燥指数（kTVDI），并将其与XGBoost-SHAP和广义加性模型相结合，解码非线性干旱驱动因素。通过独立的土壤湿度数据集验证，kTVDI表现出更高的灵敏度（ρ = - 0.604 vs. TVDI的- 0.533），并且与太阳诱导的叶绿素荧光（SIF）更一致，支持其作为改进的生态干旱指标。2000-2022年期间，区域干旱显著减少（-1.328 × 10⁻³yr⁻¹，p <； 0.01），但空间差异持续存在：东南缓解与西北加剧。温度普遍占主导地位（32.92-52.24 % SHAP重要性），但土地利用/土地覆盖重构了次要控制因素：植被系统表现出蒸散调节的水分平衡，而沙漠表现出受人类干扰放大的降水限制动态。标志着能量-水状态转变的临界阈值是：温度6.6°C，蒸散量387 mm yr⁻¹ ，相对湿度54.2% %。相互作用分析进一步揭示了特定土地利用的协同作用（农田中的湿度-土壤、森林中的土壤-地形、沙漠中的地形-降水-人类活动），强调了依赖生态系统的脆弱性。这一可解释的框架促进了过渡带中基于过程的干旱理解，并为全球变化下的适应性管理提供了定量阈值。

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引用次数: 0

Synergistic architecture of conventional GRACE filters: Global generality to region-specific optimal filtering via multiscale hydrologic validation 传统GRACE过滤器的协同结构：通过多尺度水文验证的区域特定优化过滤的全球一般性

IF 5 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2026-01-27 DOI: 10.1016/j.ejrh.2026.103180

Xiaohui Wu, Yunlong Wu, Sulan Liu, Qi Liu, Danyi Hu

Study region

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.

Study focus

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.

New hydrological insights for the region

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.

本研究的范围是全球性的，提供了一个具有区域适用性的框架。我们在40个流域以及维多利亚湖和纳赛尔湖验证了该方法，确保了在不同水文条件下的广泛相关性。本研究旨在评价传统的空域去相关滤波器在流域尺度下的性能。我们提出了一个协同过滤框架来整合和增强过滤稳定性，同时解决传统过滤器固有的边界问题。我们总结了协同过滤的工作原理，并提供了跨不同纬度的过滤建议，为小规模地区提供了更强大的解决方案。我们的分析表明，通过依赖纬度的策略，协同结构有效地克服了传统过滤器固有的边界效应。所提出的YAV模式对于低纬度地区至关重要，它可以有效地减轻高频条纹噪声，以恢复被掩盖的热带信号，并使小尺度湖泊的监测成为可能。相反，SAY和SAV模式通过避免泄漏来确保信号在中高纬度地区的稳定性。定量结果表明，该框架将噪声易发区域的高信噪比结果的比例提高了10 % -15 %。最终，这种方法增强了对极端水文事件的检测，并为未来的重力任务提供了一个强大的、可扩展的基线。

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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 : 2026-01-27 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

Arid climate and seawater intrusion amplify the threat of sulfate rather than nitrate in the coastal aquifer of China's Yellow River Delta 干旱气候和海水入侵加剧了中国黄河三角洲沿海含水层中硫酸盐而非硝酸盐的威胁

IF 5 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2026-01-27 DOI: 10.1016/j.ejrh.2026.103169

Li Zhang , Jinli Cui , Xueqing Zhang , Xingxing Du , Suhua Meng , Xiangxiang Cui

Study region

The Yellow River Delta located in Shandong Province, northern China.

Study focus

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.

New hydrological insights for the region

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.

研究区域黄河三角洲位于中国北部的山东省。研究重点：气候变化引起的降水和海水入侵对地下水SO42-和NO3-的污染动态和潜在来源有潜在的影响。研究了季节性降水和海水入侵对黄河三角洲近岸地下水中SO42-和NO3-的影响。结果表明，地下水水质明显退化，95% %的样品超过中国饮用水标准SO42-（平均浓度：829 mg/L）， 27% %的样品超过中国饮用水标准NO3-（平均浓度：55.0 mg/L）。健康风险评估证实了不可忽视的非致癌风险，干旱气候加剧了这种风险。值得注意的是，风险主要归因于被忽视的SO42-而不是NO3-。使用贝叶斯同位素同位素分析显示,SO42 -混合模型主要是从蒸发岩解散(47.3 ±19.7  %),其次是污水(14.8 ±6.9  %)和海水(12.3 ±3.9  %)。海水通过更强的蒸发岩溶解过程侵入进一步促进了这种污染，特别是在雨季早期。相比之下,NO3降雨变化不敏感和海水入侵,主要是受到人为活动的影响,包括那些有关污水(57.9 ±10.9  %),土壤氮(29.0 ±8.7  %)和化肥(8.3 ±3.1  %)。研究结果表明，沿海地下水中SO42-和NO3-的絮凝作用受自然过程和季节性降水驱动的地表人为活动的影响，其中海水入侵对SO42-的影响强于NO3-。时空研究结果为管理全球三角洲地区脆弱的沿海地下水系统建立了定量框架，这些系统同时面临海水入侵和人为压力的挑战。

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引用次数: 0

Remote sensing-enabled machine learning for modeling turbidity in regulating lakes and reservoirs across inter-basin under Google Earth Engine 基于遥感的机器学习在谷歌地球引擎下跨流域调节湖泊和水库浊度建模

IF 5 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2026-01-24 DOI: 10.1016/j.ejrh.2026.103150

Can Yang , Jinyue Chen , Guoqiang Wang , Shilong Ren , Yanbo Peng , Yi Li , Jilin Men , Lei Fang , Chongyang Wang , Wanting Wang , Zhenyu Gao , Qingzhu Zhang , Qiao Wang

Study region

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.

Study focus

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.

New hydrological insights for the region

(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) > mixed reservoirs (11.07–16.48 NTU) > 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.

研究区域南水北调东线沿线2湖6库（南四湖、东平湖、下山水库、门楼水库、密山水库、大屯水库、东湖水库、双王城水库）利用Landsat OLI影像和4种机器学习模型（RF、XGBoost、SVR、MLP）建立浊度反演模型，分析2013-2023年浑浊度的时空变化。此外，还综合了气象、土地利用和社会经济数据，以确定驱动长期水质演变的自然和人为因素。(1)机器学习模型在浊度估计中显示出卓越的准确性和泛化性，其中RF达到了最佳性能（R²= 0.89,RMSE = 0.10 NTU）。(2) 2013-2023年，各湖泊和水库浊度呈下降趋势（-0.26 NTU/年）。空间上混合湖浊度（14.33-17.41 NTU） >； 混合水库（11.07-16.48 NTU） >； 调节水库（10.18-15.17 NTU）。(3)调水期混合水库浊度较非调水期低（11.69 vs. 13.58 NTU），混合湖浊度较高（16.29 vs. 14.35 NTU），调水期水库浊度差异不显著（12.88 vs. 12.50 NTU）。(4)不同湖泊和水库类型的浊度变化受自然和人为因素的综合影响，但主要驱动因素在不同的水体类型之间存在显著差异。

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引用次数: 0

Spatiotemporal evolution of permafrost deformation and active layer thickness in the eastern Qilian Mountains based on an enhanced multi-temporal InSAR 基于增强型多时相InSAR的祁连山东部多年冻土变形与活动层厚度时空演化

IF 5 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2026-01-24 DOI: 10.1016/j.ejrh.2026.103151

Hongyu Zhou , Guanjun Wei , Yuncong Zhu , Xiying Dou

Study region

The eastern Qilian Mountains, located on the northeastern margin of the Tibetan Plateau, span elevations from ∼2600 to 5300 m around the Menyuan area. It is characterized by cold, alpine climatic conditions and hosts both permafrost and seasonally frozen ground, which are highly sensitive to climate change and have important hydrological and ecological implications.

Study focus

This study develops an enhanced multi-temporal InSAR framework to monitor frozen ground dynamics in the eastern Qilian Mountains using Sentinel-1 data from 2014 to 2024, with a particular focus on the permafrost–seasonally frozen ground transition zone around Menyuan. It addresses key challenges in permafrost monitoring by implementing a co-seismic deformation separation model, a Common Scene Stack (CSS)-based atmospheric correction method, and a time-series decomposition model with linearly varying annual amplitude to capture evolving freeze-thaw behavior under climate change.

New hydrological insights for the region

The results reveal clear hydrological and thermal contrasts between permafrost and seasonally frozen ground. Seasonally frozen ground exhibits higher seasonal deformation amplitudes, more rapid interannual changes, and shorter thermal response lags compared to permafrost, reflecting its more dynamic hydrothermal regime. The estimated freeze-thaw layer thickness ranges from 0 to 5.3 m, with thinning trends in seasonally frozen ground at lower elevations and slight thickening of active layers in high-elevation permafrost. These findings highlight ongoing frozen ground degradation and provide new insights into subsurface water-energy interactions and long-term cryospheric responses to climate warming in alpine environments.

东祁连山位于青藏高原东北缘，以门源地区为中心，海拔高度为~ 2600 ~ 5300 m。它的特点是寒冷的高山气候条件，拥有多年冻土和季节性冻土，对气候变化高度敏感，具有重要的水文和生态意义。本研究利用2014 - 2024年Sentinel-1数据，开发了一个增强型多时相InSAR框架，对祁连山东部冻土动态进行监测，特别关注门源附近的永久冻土-季节性冻土过渡区。通过实施同震形变分离模型、基于公共场景堆栈（CSS）的大气校正方法和具有线性变化年振幅的时间序列分解模型来捕捉气候变化下不断变化的冻融行为，解决了多年冻土监测中的关键挑战。研究结果揭示了永久冻土和季节性冻土之间清晰的水文和热对比。与多年冻土相比，季节性冻土表现出更大的季节变形幅度、更快速的年际变化和更短的热响应滞后，反映了其更动态的热液状态。冻融层厚度在0 ~ 5.3 m之间，低海拔季节冻土有变薄趋势，高海拔多年冻土活动层略有增厚。这些发现强调了正在进行的冻土退化，并为高山环境中地下水-能量相互作用和冰冻圈对气候变暖的长期响应提供了新的见解。

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引用次数: 0

Multidimensional assessment framework for water resources allocation 水资源配置多维评估框架

IF 5 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2026-01-23 DOI: 10.1016/j.ejrh.2026.103170

Chen Niu, Jianxia Chang, Yimin Wang, Aijun Guo, Xuebin Wang, Xuejiao Meng, Zhehao Li

Study region

The Yellow River Basin (YRB) in China.

Study focus

Efficient, equilibrial, and sustainable water allocation is essential for socio-economic development and ecological stability, especially in water-scarce regions. This study proposes a multidimensional assessment framework integrating development efficiency, spatial equilibrium, and temporal sustainability. Efficiency and equilibrium indicators, based on population, GDP, irrigable farmland, and urbanization, reflect regional development levels and disparities. The sustainability indicator, coupling water supply utility with the theory of sustainable orientation, assesses long-term stability across six dimensions: existence, effectiveness, freedom, adaptability, security, and coexistence.

New hydrological insights for the region

The evaluation results of water allocation schemes under different scenarios in the YRB demonstrate that the framework can identify and reflect the impacts of changing conditions on water allocation, showing strong stability and sensitivity. The development efficiency, spatial equilibrium, and temporal sustainability exhibit dynamic relationships, without absolute trade-offs or synergies. Increasing water availability can effectively improve development efficiency and temporal sustainability, albeit with a slight reduction in spatial equilibrium. In contrast, blindly raising in-stream ecological water use under scarcity can significantly reduce development efficiency. Adjusting industrial (water use) structure and improving water use efficiency are key to achieving efficient, equilibrial, and sustainable basin development. The framework holds broad potential for application in water-scarce basins worldwide, supporting more balanced and resilient water resource management across diverse socio-economic and ecological contexts.

研究区域：中国黄河流域。高效、平衡和可持续的水资源分配对社会经济发展和生态稳定至关重要，特别是在缺水地区。本研究提出了一个综合发展效率、空间平衡和时间可持续性的多维评估框架。基于人口、GDP、可灌溉农田和城市化的效率和均衡指标反映了区域发展水平和差异。可持续性指标将供水效用与可持续导向理论相结合，从存在、有效性、自由度、适应性、安全性和共存六个维度评估长期稳定性。长江三角洲不同情景下水资源分配方案的评价结果表明，该框架能够识别和反映条件变化对水资源分配的影响，具有较强的稳定性和敏感性。发展效率、空间平衡和时间可持续性表现为动态关系，不存在绝对的权衡或协同效应。增加水资源可利用率可以有效地提高发展效率和时间可持续性，尽管会略微降低空间平衡。相反，在稀缺性条件下，盲目提高河流内生态用水会显著降低发展效率。调整产业（用水）结构，提高用水效率是实现流域高效、均衡、可持续发展的关键。该框架在全球缺水流域具有广泛的应用潜力，支持在不同社会经济和生态背景下进行更平衡和更有弹性的水资源管理。

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引用次数: 0