Journal of Hydrology-Regional Studies最新文献_第3页

Application of surface geophysical investigations and pumping test data analysis for better characterization of aquifer hydraulic parameters, Upper Awash Sub-Basin, Central Ethiopia 应用地表地球物理调查和抽水试验数据分析，更好地确定埃塞俄比亚中部上阿瓦什子盆地含水层水力参数的特征

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2024-08-21 DOI: 10.1016/j.ejrh.2024.101933

Study region

Upper Awash River Sub-basin in central Ethiopia

Study focus

The research aimed to estimate aquifer parameters and conduct resistivity modeling in the study area. Data were collected from 890 Schlumberger Vertical Electrical Soundings (VES) points strategically distributed across six selected zones. The VES data were analyzed using computer modeling and curve-matching techniques to interpret the resistivity responses of the geological formations. This analysis provided insights into the subsurface characteristics and identified potential aquifer zones.

New insights for the region

The interpreted curves from the VES data and Root Mean Square (RMS%) values ranging from 0.36 % to 1.67 %, indicating a good fit between observed and modeled data. Resistivity modeling and geoelectrical sections were produced along specific lines, visualizing subsurface structures and confirming the resistivity responses of the geological formations. To determine aquifer parameters, the Dar-Zarrouk parameters were calculated from the interpreted curves, yielding crucial information about hydraulic properties such as hydraulic conductivity (K) and transmissivity (T). Hydraulic conductivity values ranged from 1.1 m/day to 21.7 m/day, while transmissivity values ranged from 144.3 m²/day to 2763.3 m²/day. Validation against borehole pumping test data showed strong correlations: R² = 0.9873 for transmissivity and transverse resistance, and R² = 0.9352 for hydraulic conductivity and resistivity. These findings enhance the understanding of the complex volcanic aquifer characteristics in the Upper Awash River Sub-basin, aiding sustainable groundwater management and development in the area.

研究区域埃塞俄比亚中部阿瓦什河上游分流域研究重点这项研究旨在估算含水层参数，并在研究区域建立电阻率模型。从战略性分布于六个选定区域的 890 个斯伦贝谢垂直电测深（VES）点收集了数据。利用计算机建模和曲线匹配技术对 VES 数据进行了分析，以解释地质构造的电阻率响应。对该地区的新认识 VES 数据的解释曲线和均方根（RMS%）值从 0.36 % 到 1.67 % 不等，表明观测数据和模型数据之间拟合良好。沿特定线路制作了电阻率模型和地质电学剖面图，使地下结构可视化，并确认了地质构造的电阻率响应。为确定含水层参数，根据解释曲线计算了 Dar-Zarrouk 参数，得出了有关水力特性的重要信息，如水力传导率（K）和透射率（T）。水力传导率值范围为 1.1 米/天至 21.7 米/天，而透射率值范围为 144.3 平方米/天至 2763.3 平方米/天。与钻孔抽水测试数据的验证显示出很强的相关性：透射率和横向阻力的 R² = 0.9873，水力传导率和电阻率的 R² = 0.9352。这些发现加深了人们对上阿瓦士河子流域复杂的火山含水层特征的了解，有助于该地区地下水的可持续管理和开发。

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引用次数: 0

Identification of propagation characteristics from meteorological drought to hydrological drought using daily drought indices and lagged correlations analysis 利用每日干旱指数和滞后相关性分析确定从气象干旱到水文干旱的传播特征

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2024-08-21 DOI: 10.1016/j.ejrh.2024.101939

Study region

The Juam Dam area in Suncheon, Jeollanam-do, South Korea

Study focus

This study aims to analyze drought propagation characteristics using time-lagged correlation analysis based on daily drought index, determining the lag time from meteorological drought to propagation into hydrological drought. The target period for correlation analysis is the onset date of the dry spell preceding the occurrence of hydrological drought and the termination date of the dry spell following the termination of the drought for each drought event. The Standardized Precipitation Index (SPI) at various time-scales for meteorological drought and the Standardized Reservoir Supply Index (SRSI) for hydrological drought were applied.

New hydrological insights for the region

This study presents the objectivity and accuracy of drought onset and termination date for drought propagation analysis through daily lagged correlation analysis. Through ROC analysis, SPI₉₀, SPI₁₈₀, and SPI₃₆₅ are shown to increase by an average of 16.0 %, 8.8 %, and 6.0 %, respectively. From 1993–2023, long-term hydrological droughts lasting 2 years occurred 5 times, with a maximum duration of 408 days, magnitude −629, and severity −1.76. The daily lag between the multi-scale SPIs and SRSI of individual drought events presents the possibility of predicting hydrological drought through multiple regression analysis. This research provides insights for improving hydrological drought monitoring, prediction, and response strategies through results of individual propagation characteristics of drought events.

研究地区韩国全罗南道顺天市朱岩大坝地区研究重点本研究旨在利用基于日干旱指数的时滞相关分析来分析干旱传播特征，确定从气象干旱传播到水文干旱的滞后时间。相关性分析的目标时间段为每次干旱事件发生水文干旱之前的干旱开始日期和干旱结束之后的干旱终止日期。应用不同时间尺度的标准化降水指数 (SPI) 分析气象干旱，应用标准化水库供应指数 (SRSI) 分析水文干旱。通过 ROC 分析表明，SPI90、SPI180 和 SPI365 平均增幅分别为 16.0%、8.8% 和 6.0%。1993-2023 年间，持续 2 年的长期水文干旱发生了 5 次，最长持续时间为 408 天，震级为-629，严重程度为-1.76。多尺度 SPI 与单个干旱事件的 SRSI 之间的日滞后性为通过多元回归分析预测水文干旱提供了可能。这项研究通过干旱事件个体传播特征的结果，为改进水文干旱监测、预测和响应策略提供了启示。

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引用次数: 0

Groundwater monitoring infrastructure: Evaluation of the shallow urban and coastal network in Ōtautahi Christchurch 地下水监测基础设施：对大陶塔希克赖斯特彻奇浅层城市和沿海网络的评估

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2024-08-21 DOI: 10.1016/j.ejrh.2024.101934

Study region

Ōtautahi Christchurch, New Zealand

Study focus

Urban shallow groundwater monitoring networks are becoming widespread in New Zealand and globally. A reliable groundwater monitoring infrastructure is important to develop knowledge on water table aquifers in coastal cities like Ōtautahi Christchurch. Previous investigations have shown shallow groundwater vulnerability to salinisation and contamination in urban settings, and shallow groundwater exacerbates flooding from climate change and the impact of rising sea levels.

New hydrological insights for the region

Following the 2010–2011 Canterbury earthquake sequence, shallow groundwater data acquisition and the establishment of a geotechnical database in Ōtautahi Christchurch provided unprecedented information on subsurface conditions. The installation of the groundwater monitoring infrastructure opened the field of New Zealand-based urban hydrogeological studies, including continuous measurements of groundwater levels. This study presents the hydrogeological context of Ōtautahi Christchurch, provides an overview of seismic impacts on groundwater, and documents the monitoring network’s development. Methods for assessing the monitoring network included field surveys and digital information review. The overall good condition and robustness of the network mean the dataset held by the city and regional councils should be more widely used to benefit the community. Implications for researchers and network asset managers mean that the maintenance and availability of the data should be prioritised. Records from urban shallow groundwater monitoring networks are becoming an essential source of information to manage urban water resources under climate change and sea-level rise conditions.

研究地区新西兰大陶他希基督城研究重点城市浅层地下水监测网络正在新西兰和全球范围内普及。可靠的地下水监测基础设施对于了解大陶他希基督城等沿海城市的地下含水层非常重要。之前的调查显示，浅层地下水在城市环境中易受盐碱化和污染的影响，而浅层地下水会加剧气候变化造成的洪水泛滥和海平面上升的影响。2010-2011 年坎特伯雷地震发生后，浅层地下水数据的采集和岩土工程数据库的建立为大陶塔希-基督城提供了前所未有的地下条件信息。地下水监测基础设施的安装开辟了新西兰城市水文地质研究的领域，包括地下水位的连续测量。本研究介绍了大陶塔希基督城的水文地质背景，概述了地震对地下水的影响，并记录了监测网络的发展历程。评估监测网络的方法包括实地调查和数字信息审查。监测网络的整体状况良好、功能强大，这意味着市议会和地区议会掌握的数据集应得到更广泛的使用，以造福社区。对研究人员和网络资产管理者的影响意味着应优先考虑数据的维护和可用性。城市浅层地下水监测网络的记录正在成为在气候变化和海平面上升条件下管理城市水资源的重要信息来源。

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引用次数: 0

Increasing vulnerability of vegetation to Meteorological and Groundwater drought: A Case study in Argentina 植被越来越容易受到气象和地下水干旱的影响：阿根廷案例研究

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2024-08-15 DOI: 10.1016/j.ejrh.2024.101931

Study Region

Continental Argentina, South America.

Study Focus

This study integrates multiple data sources to analyze the response of vegetation to meteorological and groundwater drought events in Argentina. It utilizes GRACE satellite data to monitor water storage variations, the GLDAS hydrological model to track soil moisture levels, and NDVI to assess vegetation health, categorized by different vegetation types. Meteorological data facilitated the computation of drought severity using the Standardized Precipitation-Evapotranspiration Index (SPEI). Anomalies in groundwater storage, derived from these data, informed the calculation of the Grace Groundwater Drought Index (GGDI). A comprehensive statistical analysis was conducted to examine the impact of meteorological (SPEI) and groundwater (GGDI) droughts on various vegetation types.

New Hydrological Insights for the Region

The study reveals that from 2002 to 2022, GRACE-TWSA and GLDAS-TWSA displayed consistent trends in Argentina. Meteorological droughts, characterized by higher frequency and intensity, predominantly affect croplands and grasslands. Compared to lagged effects, the cumulative impact of droughts was found to be more significant. Shrublands demonstrated the greatest resistance to drought, whereas vegetation in humid regions showed lower drought tolerance. Notably, the duration associated with the lag effects of meteorological droughts decreased from 2.16 months in 2002–1.52 months in 2020, suggesting an increasing sensitivity of vegetation to these droughts. This underscores the urgency of developing targeted drought resilience and water resource management strategies.

研究地区南美洲阿根廷大陆。研究重点本研究整合了多种数据源，分析阿根廷植被对气象和地下水干旱事件的响应。研究利用 GRACE 卫星数据监测蓄水量变化，利用 GLDAS 水文模型跟踪土壤湿度水平，利用 NDVI 评估植被健康状况，并按不同植被类型进行分类。气象数据有助于利用标准化降水-蒸散指数（SPEI）计算干旱严重程度。根据这些数据得出的地下水储量异常为格雷斯地下水干旱指数（GGDI）的计算提供了依据。研究显示，从 2002 年到 2022 年，阿根廷的 GRACE-TWSA 和 GLDAS-TWSA 显示出一致的趋势。气象干旱的特点是频率更高、强度更大，主要影响耕地和草地。与滞后影响相比，干旱的累积影响更为显著。灌木林地表现出最强的抗旱能力，而潮湿地区的植被则表现出较低的抗旱能力。值得注意的是，与气象干旱滞后效应相关的持续时间从 2002 年的 2.16 个月减少到 2020 年的 1.52 个月，这表明植被对这些干旱的敏感性在增加。这凸显了制定有针对性的抗旱和水资源管理战略的紧迫性。

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引用次数: 0

Development of a conceptual regional industrial water use efficiency model driven by economic development level 开发由经济发展水平驱动的地区工业用水效率概念模型

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2024-08-12 DOI: 10.1016/j.ejrh.2024.101926

Study region

The study area comprises 336 administrative units located in mainland China.

Study focus

The research aims at better understanding the relationship between regional industrial water use efficiency (IWUE) and the economic development level (EDL) that drives its annual variation, and to create a conceptual model to simulate these variations. A method is proposed for estimating regional IWUE for the following year via parameter calibration and extension in mainland China.

New hydrological insights for the region

A conceptual model is developed to simulate annual regional IWUE(water use per 10,000 yuan of industrial added value) variation driven by EDL(GDP per capita). The model has an even number of hyperbola lines indicating log-transformed IWUE state fluctuations relative to EDL index. The model is derived based on three key findings. The categorical hyperbolic correlation between the EDL and IWUE allows similar model structure in different rank match levels. Second, multi-year data sets can calibrate the shape parameter because the hyperbola's shape remains constant over the years. Furthermore, regional IWUE can be predicted by the hyperbola's linear location with year. The model offers a new quantitative analysis method for setting regional IWUE control red lines in China. It could also serve as a foundation for studying the relationship between IWUE and other socio-economic characteristics in different nations and developing regional and possibly worldwide IWUE model construction and parameterization.

研究区域研究区域包括位于中国大陆的 336 个行政单位。研究重点研究旨在更好地理解区域工业用水效率（IWUE）与驱动其年度变化的经济发展水平（EDL）之间的关系，并创建一个概念模型来模拟这些变化。通过参数校准和在中国大陆的推广，提出了一种估算下一年度地区工业用水效率的方法。对该地区水文的新认识建立了一个概念模型，以模拟 EDL（人均 GDP）驱动的地区工业用水效率（每万元工业增加值用水量）的年度变化。该模型具有偶数条双曲线，表示相对于 EDL 指数的对数变换 IWUE 状态波动。该模型基于三个主要发现得出。EDL 和 IWUE 之间的分类双曲线相关性使得不同等级匹配水平的模型结构相似。其次，多年数据集可以校准形状参数，因为双曲线的形状多年来保持不变。此外，区域 IWUE 可以通过双曲线与年份的线性位置进行预测。该模型为设定中国区域 IWUE 控制红线提供了一种新的定量分析方法。该模型还可作为研究不同国家 IWUE 与其他社会经济特征之间关系的基础，为建立区域乃至全球 IWUE 模型和参数化奠定基础。

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引用次数: 0

Using a comparative of DRASTIC and Bayesian weights of evidence approach to assess transboundary aquifer vulnerability in a data scarcity region: Tuli-Karoo aquifer 使用 DRASTIC 和贝叶斯证据权重比较法评估数据稀缺地区跨界含水层的脆弱性：图里-卡鲁含水层

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2024-08-12 DOI: 10.1016/j.ejrh.2024.101930

Study region

The Tuli-Karoo Transboundary Aquifer system is shared among Botswana, South Africa and Zimbabwe. It hosts a complex aquifer predominately of sand, heavily tapped in South Africa and sandstone substantially used in Botswana threatening it’s quality.

Study focus

Two vulnerability models, the classic DRASTIC (Depth to water table [D], Recharge to the aquifer [R], Aquifer media [A], Soil media [S], Topography [T], Impact of vadose zone [I], Conductivity [C]) and the bayesian based, Weights of Evidence (WofE), were used to delineate zones vulnerable to groundwater contamination under limited nitrate observations.

New hydrological insights for the region

The study revealed that the generic DRASTIC vulnerability results were comparable to the WofE, for the highly vulnerable zones, as both had an area under the curve (AUC) below 0.6. The high vulnerability was attributed to the shallow depth of water level, fractured geological condition (based on transmissivity) and high net recharge rate in and around the Tuli-Karoo Aquifer. However, there are differences in spatial variability in the low/medium vulnerability zones. WofE was superior in capturing spatial variability of groundwater vulnerability. Considerations must therefore be provided, under data scarcity, to incorporate proxies that include landuse-landcover and population density as evidential layers. Overall, WofE performs better due to better prediction power under data-scarcity conditions. This study recommends that under data scarcity, high predictive models like WofE should be used for environmental planning and groundwater protection strategies.

研究区域图利-卡鲁跨界含水层系统由博茨瓦纳、南非和津巴布韦共享。该含水层结构复杂，主要为砂质含水层，在南非被大量开采，而在博茨瓦纳则大量使用砂岩，威胁着含水层的质量。研究重点在有限的硝酸盐观测条件下，使用两种脆弱性模型，即经典的 DRASTIC 模型（地下水位深度 [D]、含水层补给量 [R]、含水层介质 [A]、土壤介质 [S]、地形 [T]、软弱带影响 [I]、电导率 [C]）和基于贝叶斯法的证据权重模型 (WofE)，来划分易受地下水污染的区域。对该地区水文的新认识研究表明，对于高脆弱区，通用 DRASTIC 脆弱性结果与 WofE 相似，因为两者的曲线下面积 (AUC) 都低于 0.6。图里-卡鲁含水层及其周边地区水位深度浅、地质条件断裂（基于渗透率）和净补给率高，是造成高脆弱性的原因。然而，低/中脆弱性区的空间变化存在差异。WofE 在捕捉地下水脆弱性的空间变化方面更胜一筹。因此，在数据稀缺的情况下，必须考虑将包括土地利用-土地覆盖和人口密度在内的代用指标作为证据层。总体而言，在数据稀缺的条件下，WofE 的预测能力更强，因此表现更好。本研究建议，在数据稀缺的情况下，应将 WofE 等高预测模型用于环境规划和地下水保护战略。

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引用次数: 0

Application of gravity recovery and climate experiment data and ensemble modeling to assess saltwater intrusion in the Miandoab coastal aquifer, Iran, under climate change 应用重力恢复和气候实验数据以及集合建模评估气候变化下伊朗米安多布沿海含水层的盐水入侵情况

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2024-08-10 DOI: 10.1016/j.ejrh.2024.101929

Study region

The Miandoab aquifer, northwest of Iran, which is located in a sub basin of the Urmia Lake.

Study focus

To model the groundwater (GW) quantity and quality, shallow learning (Feed Forward Neural Network (FFNN), Adaptive neuro fuzzy inference system (ANFIS), Support Vector Regression (SVR)), their ensemble and deep learning models were applied. Projections by General Circulation Models (GCMs) for the Shared Socio-economic Pathways (SSP585) scenario, after bias correction, and changes of the model inputs including Normalized Difference Vegetation Index (NDVI), Gravity Recovery and Climate Experiment (GRACE), GRACE Follow-On (GRACE-FO) and GW level (GWL) obtained via Markov Chain model were employed for future climate change projections. To project GW quality (GWQ) parameters for future climate conditions, relationships between GWL and GWQ were established via the Fourier model.

New hydrological insights for the region

Results revealed that ensemble learning could outperform individual methods up to 23 %. The Hydro-chemical Facies Evolution (HFE) diagrams for 2050 and 2100 indicated that clusters near the shoreline may exhibit severe declining trend in GWL up to 1.53 m and potential intrusion of saltwater. In the higher altitude lands GWL may exhibit declining trend up to 11.74 m. In addition, HFE diagram indicated that the Ca-Cl water type will be more common in 2050.

研究区域伊朗西北部的米多阿布含水层，位于乌尔米耶湖的一个子流域。研究重点为了模拟地下水（GW）的数量和质量，应用了浅层学习（前馈神经网络 (FFNN)、自适应神经模糊推理系统 (ANFIS)、支持向量回归 (SVR)）及其集合和深度学习模型。在对未来气候变化进行预测时，采用了一般环流模式（GCM）对共享社会经济路径（SSP585）情景的预测，这些预测经过了偏差校正，并改变了模式输入，包括归一化差异植被指数（NDVI）、重力恢复和气候实验（GRACE）、GRACE 后续实验（GRACE-FO）以及通过马尔可夫链模式获得的全球升水水平（GWL）。为了预测未来气候条件下的全球水文质量（GWQ）参数，通过傅立叶模型建立了全球水文水平（GWL）和全球水文质量（GWQ）之间的关系。2050 年和 2100 年的水化学面貌演化图（HFE）显示，海岸线附近的集群可能会出现严重的 GWL 下降趋势，最高可达 1.53 米，并可能出现海水入侵。在高海拔地区，全球平均海拔高度的下降趋势可能达到 11.74 米。此外，HFE 图显示，到 2050 年，Ca-Cl 水类型将更为常见。

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引用次数: 0

Assessing spatiotemporal dynamics of water use efficiency in ecologically vulnerable karst landscapes 评估生态脆弱的喀斯特地貌水资源利用效率的时空动态变化

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2024-08-09 DOI: 10.1016/j.ejrh.2024.101916

Study region

Southwest China

Study focus

Water use efficiency (WUE) is a key variable for understanding the carbon and water cycling processes in ecosystems. There exists the world's largest continuous karst topography in Southwest China, rendering it a quintessential ecologically vulnerable region. Therefore, determining the trends in WUE changes between karst and non-karst ecosystems is of great significance for understanding the carbon and water cycling processes in ecologically vulnerable areas. In this study, various analysis methods were utilized to explore the spatiotemporal variations, persistence characteristics, and the impact of complex climatic variability of WUE in Southwest China.

New hydrological insights for the region

(i) The rate of increase and multi-year average of WUE in karst ecosystem is higher than that in non-karst ecosystem. (ii) In the future, the proportion of area with decreasing in WUE will be higher in karst ecosystem than in non-karst ecosystem. (iii) There are significant differences in the correlation between WUE and climatic factors in different ecosystems. (iv) The dominant climatic factor for WUE in karst ecosystem is vapor pressure, while in non-karst ecosystem, it is precipitation. The research results can provide a theoretical basis for studying the carbon and water cycling processes in karst ecosystem.

研究地区中国西南部研究重点水利用效率（WUE）是了解生态系统中碳和水循环过程的一个关键变量。中国西南地区拥有世界上最大的连续喀斯特地貌，是典型的生态脆弱地区。因此，确定喀斯特生态系统与非喀斯特生态系统之间的水分利用效率变化趋势，对于了解生态脆弱地区的碳和水循环过程具有重要意义。本研究采用多种分析方法，探讨了西南地区 WUE 的时空变化、持续性特征以及复杂气候变异的影响，为该地区的水文研究提供了新的启示。(ii) 未来，喀斯特生态系统中水文学UE 下降的面积比例将高于非喀斯特生态系统。(iii) 在不同生态系统中，WUE 与气候因子之间的相关性存在显著差异。(iv) 在喀斯特生态系统中，影响 WUE 的主要气候因子是蒸气压，而在非喀斯特生态系统中，主要气候因子是降水。研究结果可为研究岩溶生态系统的碳和水循环过程提供理论依据。

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引用次数: 0

Revealing lake dynamics across the Amur River Basin over the past two decades using multi-source remote sensing datasets 利用多源遥感数据集揭示过去二十年阿穆尔河流域的湖泊动态

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2024-08-09 DOI: 10.1016/j.ejrh.2024.101928

Study region

The Amur River Basin (ARB), a transboundary river basin comprising four sub-regions: the Northeast Plain of China, Mongolian Plateau, Siberian Federal region and Far East Federal region.

Study focus

This research presents a comprehensive analysis on the lake dynamics in both lake area and number across the entire ARB from 1999 to 2021, using multi-source remote sensing datasets. The driving mechanisms are analyzed, considering the gradients in climatic conditions and varying levels of anthropogenic activities in different sub-regions.

New hydrological insights for the region

The study found that both the total area and number of lakes in ARB decreased before 2009, whereafter increased significantly until 2021. Specifically, lakes in the Mongolian Plateau shrank seriously (-46.6 km² yr⁻¹), while those in the Northeast Plain of China, Siberian Federal region, and Far Eastern Federal region all showed overall expanding trends. Lake changes in the entire ARB were predominantly influenced by precipitation (R²:0.54,) and soil moisture (R²:0.55). Increasing irrigation and grazing were the main forces in the Mongolian Plateau, while hydro-climatic factors played more important roles in Northeast Plain, Siberian Federal region, and Far Eastern Federal region. This study provides a comprehensive cross-regional analysis of lake area changes and driving forces, which is of great value in ensuring lake ecological safety in ARB and other regions with densely distributed lakes.

研究区域阿穆尔河流域（ARB）是由中国东北平原、蒙古高原、西伯利亚联邦区和远东联邦区四个次区域组成的跨境河流流域。研究重点这项研究利用多源遥感数据集，对 1999 年至 2021 年整个阿穆尔河流域的湖泊面积和数量进行了全面分析。考虑到不同次区域气候条件的梯度和不同程度的人为活动，对其驱动机制进行了分析。对该地区水文的新见解该研究发现，2009 年之前，阿尔伯塔地区的湖泊总面积和数量都有所减少，之后直到 2021 年，湖泊面积和数量都显著增加。具体而言，蒙古高原的湖泊严重萎缩（-46.6 平方公里/年-1），而中国东北平原、西伯利亚联邦区和远东联邦区的湖泊则总体呈扩大趋势。整个 ARB 的湖泊变化主要受降水（R2:0.54）和土壤湿度（R2:0.55）的影响。灌溉和放牧的增加是蒙古高原的主要影响因素，而水文气候因素在东北平原、西伯利亚联邦区和远东联邦区发挥着更重要的作用。本研究对湖泊面积变化及驱动因素进行了全面的跨区域分析，对确保 ARB 及其他湖泊分布密集地区的湖泊生态安全具有重要价值。

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引用次数: 0

Assessing the impact of river changes on flood regulation capacity using a coupled flood model in an urbanized plain river network region 利用城市化平原河网地区的耦合洪水模型评估河流变化对洪水调节能力的影响

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2024-08-07 DOI: 10.1016/j.ejrh.2024.101925

Study region

The Changzhou Plain, the Taihu Lake Basin, Eastern China.

Study focus

This study introduces an event-based approach for assessing the impact of river changes on flood regulation capacity in urbanized plain river network regions for the first time. The Changzhou Plain, river length decreasing by 7.55 %, was taken as an example to assess the effects of river changes on its flood regulation capacity from the 1980s to the 2020 s.

New hydrological insights for the region

Two key indices, flood storage capacity (FSC) and remaining flood storage capacity (RFSC), were developed and calculated using a coupled flood model. Both the coefficient of determination (R²) and the Nash–Sutcliffe efficiency (NSE) exceeded 0.90 during model calibration and validation. The Changzhou Plain experienced river degradation from the 1980s to the 2020 s, with 11.14 % reduction in tributary river length and 3.05 % increase in main river length, leading to decreased water surface area and enhanced connectivity among main rivers. Regional FSC and RFSC increased by 8.42 % and 1.97 %, respectively, due to improved connectivity of main rivers from the 1980s to the 2020 s. The reduction in tributary rivers had minimal effects on FSC (increase of 1.62 %) and RFSC (decrease of 1.74 %), while improved connectivity of main rivers contributed to significant increases in both FSC (6.70 %) and RFSC (3.74 %). These findings underscore the effectiveness of enhancing river connectivity as a strategy to bolster flood prevention in the Taihu Plain, offering valuable insights for flood management and river planning.

研究区域中国东部太湖流域常州平原。研究重点本研究首次引入基于事件的方法，评估城市化平原河网地区河流变化对洪水调节能力的影响。以河道长度减少 7.55% 的常州平原为例，评估了 20 世纪 80 年代至 2020 年代河道变化对其洪水调节能力的影响。在模型校核和验证过程中，决定系数（R2）和纳什-苏特克利夫效率（NSE）均超过了 0.90。20 世纪 80 年代至 2020 年代，常州平原河流退化，支流长度减少 11.14%，干流长度增加 3.05%，导致水面面积减少，干支流之间的连通性增强。从 20 世纪 80 年代到 2020 年代，由于主要河流的连通性得到改善，区域的丰水期和枯水期分别增加了 8.42% 和 1.97%。支流河流的减少对FSC（增加1.62%）和RFSC（减少1.74%）的影响微乎其微，而主要河流连通性的改善则使FSC（6.70%）和RFSC（3.74%）显著增加。这些发现强调了提高河流连通性作为太湖平原防洪战略的有效性，为洪水管理和河流规划提供了宝贵的启示。

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引用次数: 0