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Quantifying the Effects of National Water Model Freshwater Flux Predictions on Estuarine Hydrodynamic Forecasts 量化国家水模式淡水通量预测对河口水动力预测的影响
IF 2.6 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-06-14 DOI: 10.1111/1752-1688.70033
Nicholas Chin, David Kaplan, Maitane Olabarrieta, Viyaktha Hithaishi Hewageegana, Luming Shi

Accurate streamflow forecasts are critical for modeling and managing estuarine water quality, as freshwater fluxes significantly influence coastal dynamics. The National Water Model (NWM) provides high-resolution streamflow predictions, which are valuable for hydrodynamic modeling in poorly gauged coastal regions. However, inaccuracies in NWM forecasts can limit our ability to predict estuarine and nearshore water quality effectively. First, this study evaluates the accuracy of NWM predictions for 14 coastal reaches in southwest Florida's Charlotte Harbor and Caloosahatchee River estuaries from 2018 to 2024, where hydrologic management has impacted water quality. NWM forecasts showed varying bias and variance, with Nash-Sutcliffe efficiencies (NSE) ranging from −2.26 to 0.77. Next, hydrodynamic simulations for the flow-managed Caloosahatchee River Estuary (CRE) were performed using both NWM forecasts and observed streamflows, revealing that errors in NWM predictions during high-flow events caused significant deviations in the position of ecologically relevant isohalines, lasting weeks. Finally, to address these issues, a Long Short-Term Memory (LSTM) network was developed to bias-correct NWM forecasts, improving NSE from 0.41 to 0.53. However, the LSTM's inability to “learn” managed discharge schedules highlights the need for advanced data assimilation and simulation techniques in flow-managed coastal systems.

准确的流量预报对于模拟和管理河口水质至关重要,因为淡水通量显著影响海岸动态。国家水模型(NWM)提供了高分辨率的流量预测,这对于在测量差的沿海地区进行水动力学建模是有价值的。然而,NWM预报的不准确性会限制我们有效预测河口和近岸水质的能力。首先,本研究评估了2018年至2024年NWM对佛罗里达州西南部夏洛特港和卡卢萨哈奇河河口14个沿海河段预测的准确性,其中水文管理影响了水质。NWM预测显示出不同的偏差和方差,Nash-Sutcliffe效率(NSE)范围为- 2.26至0.77。接下来,利用NWM预报和观测到的河流流量,对流量管理的Caloosahatchee河河口(CRE)进行了水动力学模拟,结果表明,在高流量事件期间,NWM预测的误差会导致生态相关等盐线位置的显著偏差,持续数周。最后,为了解决这些问题,我们开发了一个长短期记忆(LSTM)网络来纠正NWM预测的偏差,将NSE从0.41提高到0.53。然而,LSTM无法“学习”管理排放计划,这凸显了在流动管理的海岸系统中需要先进的数据同化和模拟技术。
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引用次数: 0
Impact of the Water Resource Tax on Efficiency of Industrial Water Resources Use: Evidence From Hebei Province, China 水资源税对工业水资源利用效率的影响:来自河北省的证据
IF 2.6 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-06-04 DOI: 10.1111/1752-1688.70024
Ming Chen, Qin Wang, Yifan Li, Yutong Zhao

China is facing a serious water shortage. The government's implementation of a water resource tax policy is an important step in the ecological protection of water resources. This paper constructs a stochastic frontier production function model to measure the industrial water resource utilization efficiency in Hebei Province under the consideration of water resource tax. Then, this paper constructs a model of the impact of water resource tax policy on industrial water resource utilization efficiency using the double difference method to evaluate the causal effect of the policy. The research findings of this article are: (1) Through discontinuity regression, it was found that the water resources tax policy has a significant positive correlation with the improvement of water resource utilization efficiency in Hebei Province. The implementation of the water resources tax policy has successfully improved the industrial water resource utilization in Hebei Province. (2) Although the implementation of the water resources tax policy has improved the efficiency of industrial water use in Hebei Province, the overall efficiency of industrial water use in Hebei Province is still low, and many problems have arisen during the advancement of the water resources tax policy. In response to the problems that occurred during the pilot period in Hebei Province, this article proposes some policy solutions to accelerate the advancement of water resource tax policies across the country.

中国正面临严重的水资源短缺。政府实施水资源税政策是水资源生态保护的重要举措。本文构建了一个随机前沿生产函数模型,对考虑水资源税的河北省工业水资源利用效率进行测度。然后,运用双差法构建水资源税政策对工业水资源利用效率影响的模型,对政策的因果效应进行评价。本文的研究结果如下:(1)通过不连续回归,发现水资源税政策与河北省水资源利用效率的提高存在显著的正相关关系。水资源税政策的实施成功地提高了河北省工业水资源的利用率。(2)虽然水利税政策的实施提高了河北省工业用水效率,但河北省工业用水的整体效率仍然较低,在水利税政策的推进过程中出现了许多问题。针对河北省试点期间出现的问题,本文提出了加快水资源税政策在全国范围内推进的政策对策。
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引用次数: 0
A Pilot Study for Water Storage and Carbon Variability in an Irrigation Pond of the Southeastern Plains, USA 美国东南平原灌溉池储水量和碳变率的初步研究
IF 2.6 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-06-04 DOI: 10.1111/1752-1688.70026
Andrea Albright, Alisa W. Coffin, Oliva Pisani, David D. Bosch, Timothy C. Strickland

Farm ponds are a common feature of agricultural landscapes for irrigation of crops. Yet small water bodies have been ignored as reservoirs and carbon balance features despite their ubiquity in the global landscape. These ponds contain surface water from precipitation and runoff, but in South Georgia, USA, groundwater supplementation is required to maintain a supply for irrigation. Key characteristics of these ponds, such as capacity and dynamics describing fluxes in quantity and quality, are not well known. In this area, irrigation ponds supplemented by groundwater have water quality issues that affect producers. In a pilot study to address this knowledge gap, storage dynamics and water quality, that is, dissolved organic carbon (DOC), were characterized from measurements of a regionally typical irrigation pond in 2022. Field surveys of pond depth and terrain were fused to create a topobathymetric elevation model of the pond and its environs. The pond has a volume of 5.06 +/- 0.29 ha-m that was used for irrigation during the growing season and was mostly replaced with groundwater. Concentrations of DOC ranged from 1.77 to 19.9 mg/L. Dissolved organic matter (DOM) indices reveal a shift from terrestrial-derived DOM earlier in the year to more microbial-derived DOM later. Together this integrated analysis of an irrigation pond in South Georgia analyzes water inflows and outflows, quantifies DOC, characterizes DOM, and models pond storage volumes.

农场池塘是农业景观的共同特征,用于灌溉作物。然而,尽管小水体在全球景观中无处不在,但它们作为水库和碳平衡特征却被忽视了。这些池塘含有来自降水和径流的地表水,但在美国南乔治亚州,需要补充地下水来维持灌溉供应。这些池塘的关键特征,例如描述数量和质量通量的容量和动力学,并不为人所熟知。在这个地区,由地下水补充的灌溉池塘存在影响生产者的水质问题。在一项解决这一知识差距的试点研究中,通过2022年对一个区域典型灌溉池塘的测量,对储存动态和水质(即溶解有机碳(DOC))进行了表征。对池塘深度和地形的实地调查融合在一起,创建了池塘及其周围的地形高程模型。池塘的容积为5.06 +/- 0.29 hm -m,在生长季节用于灌溉,大部分被地下水取代。DOC的浓度在1.77 ~ 19.9 mg/L之间。溶解有机物(DOM)指数显示,从今年早些时候的陆地来源的DOM到后来更多的微生物来源的DOM的转变。对南乔治亚州一个灌溉池塘的综合分析分析了水的流入和流出,量化了DOC,表征了DOM,并建立了池塘储水量模型。
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引用次数: 0
Intersection of Hydrologic Change and Hydropower in the United States: Needs for Future Research and Practice 美国水文变化与水电的交集:对未来研究和实践的需求
IF 2.6 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-06-04 DOI: 10.1111/1752-1688.70020
Erich T. Hester, Nathalie Voisin, Natalie A. Griffiths, Shih-Chieh Kao

Hydropower is crucial for electric-grid stability in the context of variable renewables but faces threats from changing hydrology. Here, we summarize the state of the science at the intersection of hydropower operations and planning, hydrologic science, and climate. We focus on the United States, outlining research, development, and training needs. Key knowledge gaps include the risk that intensification of compound extreme events poses to future generation, as well as uncertainties surrounding greenhouse gas emissions from hydropower reservoirs with relevance to hydropower's role in energy decarbonization. Quantifying such impacts and reducing uncertainty are critical where possible, but remaining irreducible or deep uncertainty will require new approaches. Future monitoring and modeling methods must provide a better understanding of the complexity inherent in large watersheds that is critical to managing both hydropower and watersheds in the context of hydrologic change. Yet, research and development will have little impact if they do not inform practice. Standardization and consolidation of platforms are essential for data, modeling, and tool translation to local scales and small operators. An enhanced industry-academia dialog is pivotal for fostering a robust pipeline of hydropower professionals. Collaboration among researchers, policymakers, authorities, and industry stakeholders emerges as a recurring theme, highlighting the imperative for collective efforts.

在可再生能源多变的背景下,水电对电网的稳定至关重要,但面临着水文变化的威胁。在这里,我们总结了水电运行与规划、水文科学和气候交叉领域的科学现状。我们以美国为重点,概述了研究、开发和培训需求。主要的知识缺口包括复合极端事件的加剧对未来发电构成的风险,以及水电在能源脱碳中的作用与水电水库温室气体排放有关的不确定性。在可能的情况下,量化这些影响和减少不确定性至关重要,但仍然无法减少或深度不确定性将需要新的方法。未来的监测和建模方法必须更好地理解大流域固有的复杂性,这对于在水文变化的背景下管理水电和流域至关重要。然而,如果研究和开发不能为实践提供信息,它们就不会产生什么影响。平台的标准化和整合对于数据、建模和工具转换到本地规模和小型运营商至关重要。加强产学研之间的对话对于培养强大的水电专业人才至关重要。研究人员、政策制定者、当局和行业利益相关者之间的合作成为一个反复出现的主题,突出了集体努力的必要性。
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引用次数: 0
A Distributed Unit Hydrograph Modeling for Flood Simulation in the Plain River Network Regions 平原河网地区洪水模拟的分布式单元水文模拟
IF 2.6 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-06-02 DOI: 10.1111/1752-1688.70029
Gang Chen, Yue Yu, Tianshu Zhang, Chuanhai Wang, Shen Yang, Pengxuan Zhao

This study proposes a distributed unit hydrograph (DUH) method to address the challenge of simulating overland flow concentration in plain river network regions. The DUH framework defines generalized river network polygons (RNPs) to represent flow convergence zones and estimates runoff travel times based on a calibrated confluence velocity parameter, circumventing the need for high-resolution topographic data. The method was applied to the Taihu Basin, where 16 subregions were analyzed under different spatial scales and overland flow velocities. Results show that the DUH method significantly enhances model performance compared to the traditionally used proposed unit hydrograph (PUH) approach. Specifically, DUH reduced the root mean square error (RMSE) of simulated water levels by up to 40%, improved the coefficient of determination (R2) by 0.1–0.2, and reduced the average flood peak lag from 2.1 days to 0.7 days. The model exhibited optimal accuracy at a grid scale of 200 × 200 m, achieving a balance between smooth hydrograph formation and computational efficiency. These findings underscore the DUH method's applicability for flood simulation and decision-making in low-relief, hydraulically complex regions with limited microtopographic data availability.

本文提出了一种分布式单元线(DUH)方法来解决平原河网区域地表流集中模拟的难题。DUH框架定义了广义河网多边形(RNPs)来表示水流汇聚区,并根据校准的汇流速度参数估计径流移动时间,从而避免了对高分辨率地形数据的需求。将该方法应用于太湖盆地,在不同空间尺度和坡面流速度下对16个分区进行了分析。结果表明,与传统的单位线(PUH)方法相比,DUH方法显著提高了模型的性能。具体而言,DUH将模拟水位的均方根误差(RMSE)降低了40%,将决定系数(R2)提高了0.1-0.2,将平均洪峰滞后从2.1天减少到0.7天。该模型在200 × 200 m网格尺度下具有最佳精度,实现了平滑形成和计算效率之间的平衡。这些发现强调了DUH方法在低地形、水文复杂、微地形数据可用性有限的地区进行洪水模拟和决策的适用性。
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引用次数: 0
A Review of Chesapeake Bay Climate Change: Potential Impacts on Watershed Hydrology and Nutrient and Sediment Cycling and Export 切萨皮克湾气候变化:对流域水文、养分和沉积物循环及输出的潜在影响
IF 2.6 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-06-02 DOI: 10.1111/1752-1688.70030
Zachary M. Easton, Jeremy Hanson, Emily Bock, Binyam Workeye Asfaw

Climate change in the Chesapeake Bay watershed will affect the effort to achieve nutrient and sediment reductions called for in the total maximum daily load (TMDL) regulations. To determine how nutrient and sediment loads may change in response to climate, a systematic review evaluated research literature related to the impacts of climate change and variability on hydrologic fluxes and nutrient and sediment cycling and transport. Climate change impacts hydrologic fluxes, nutrient and sediment cycling, and export in the Chesapeake Bay region via several factors, including changes in precipitation volume and intensity, rising temperatures, and increased atmospheric carbon dioxide concentrations. Increased precipitation volume is expected to increase the water budget expressed via greater runoff, streamflow, and freshwater flows to the estuary, but seasonal changes, such as increased winter and spring precipitation and hotter, drier summers, increase the variability of these responses. Climate change will also alter the cycling and transport of nutrients and sediment, with higher temperatures increasing the rate of nutrient cycling, and increased precipitation, expressed as wetter soils, increasing losses. While there was considerable variability among studies, there was common ground that suggests the Chesapeake Bay watershed will experience greater nonpoint source nutrient and sediment loads. Ultimately, this information informs how climate change may impact efforts to meet the TMDL.

切萨皮克湾流域的气候变化将影响实现总最大日负荷(TMDL)规定所要求的营养物和沉积物减少的努力。为了确定养分和沉积物负荷如何随气候变化而变化,一项系统综述评估了与气候变化和变率对水文通量以及养分和沉积物循环和运输的影响相关的研究文献。气候变化通过降水量和强度变化、气温上升和大气二氧化碳浓度增加等几个因素影响切萨皮克湾地区的水文通量、养分和沉积物循环以及出口。降水量的增加预计会通过径流量、河流流量和流入河口的淡水流量的增加来增加水收支,但季节变化,如冬季和春季降水的增加以及夏季更热、更干燥,会增加这些响应的变异性。气候变化还将改变养分和沉积物的循环和运输,温度升高会加快养分循环的速度,而降水增加(表现为土壤湿润)则会增加损失。虽然各研究之间存在相当大的差异,但有一个共同点表明,切萨皮克湾流域将经历更大的非点源营养物和沉积物负荷。最终,这些信息告知气候变化如何影响实现TMDL的努力。
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引用次数: 0
Index of Watershed Integrity (IWI) of a Central Mexican Plateau Microwatershed: An Instrument of Environmental Governance 中墨西哥高原小流域完整性指数(IWI):一种环境治理工具
IF 2.6 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-05-25 DOI: 10.1111/1752-1688.70028
M. Sarmiento Martínez, S. G. Leibowitz, M. L. Otte, R. Pineda López, D. P. García Tello, H. Luna Soria, L. I. Medina Pacheco, E. Hernández Pérez, V. H. Cambrón Sandoval

Watershed management must be prioritized in Mexico due to environmental degradation. To address the issue, an instrument to assess watershed functional status and specific governance conditions is needed. We assessed the functional conditions of a microwatershed (a watershed of less than 5000 ha) located in the headwater of the Querétaro River watershed using the Index of Catchment Integrity (ICI) to evaluate local conditions and the Index of Watershed Integrity (IWI) to evaluate the cumulative conditions. Implementing the IWI in La Laborcilla Microwatershed (LMW) required some adaptations to the available information. We integrated data generated through two indices: The Environmental Water Quality Index (EWQ(i)), which evaluates the physicochemical conditions of water from an ecosystem perspective, and the Hydrogeomorphological Index (IHG), which assesses the conditions of naturalness or alteration of riparian ecosystems. These complementary indices generated detailed information on the stressors that affect the six functional components of the watershed. To complete the assessment, we evaluated the LMW management process within local decision-making and policy instruments. The watershed had medium-low integrity (IWI = 0.43). The integrity of the catchments (ICI) spanned from 0.27 to 0.58. Watershed integrity is a relevant perspective for effective watershed management in operational forms within the territorial planning process and environmental policy instruments.

由于环境退化,墨西哥必须优先考虑流域管理。为了解决这个问题,需要一种评估流域功能状况和具体治理条件的工具。本文利用集水区完整性指数(ICI)评价当地条件,用集水区完整性指数(IWI)评价累积条件,对位于querimacrio河流域源头的小流域(小于5000 ha)的功能条件进行了评价。在La Laborcilla微流域(LMW)实施IWI需要对现有信息进行调整。我们整合了两个指数产生的数据:环境水质指数(EWQ(i)),从生态系统的角度评估水的物理化学条件,以及水文地貌指数(IHG),评估河岸生态系统的自然或变化条件。这些互补指数产生了影响流域六个功能组成部分的压力源的详细信息。为了完成评估,我们评估了地方决策和政策工具中的LMW管理过程。流域为中低完整性(IWI = 0.43)。流域的完整性(ICI)在0.27 ~ 0.58之间。流域完整性是在领土规划过程和环境政策工具中以业务形式进行有效流域管理的相关观点。
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引用次数: 0
Resilient and Sustainable Water Resources Management in the United States: The Role of Water-Use Data and Interagency Knowledge Exchange 美国的弹性和可持续水资源管理:用水数据和机构间知识交流的作用
IF 2.6 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-05-15 DOI: 10.1111/1752-1688.70027
Kimberly LeMonde Fewless, Olga V. Wilhelmi, Mari Tye

The United States SECURE Water Act states that a study of water use is critical for assessing impacts on water and ecological resources and forecasting whether or not available surface and groundwater supplies will meet future needs. The United States Geological Survey (USGS) plays a key role in the SECURE Water Act by providing nationally consistent information on water quantity, quality, and use. Water-use data maintained by States and Territories are critical for the USGS water-use estimation and modeling techniques that underlie these efforts. However, water-use data availability has not been systematically assessed. This study addresses this gap through a survey of USGS Water Science Centers (WSCs). The results indicate that water-use information varies in its content and level of detail across the United States. Spatially discrete and comprehensive information about water use, such as site-specific consumptive use, withdrawals, diversions, return flows, and interbasin transfers, is not widely available to and/or shared between State and Territory water-resource agencies and USGS WSCs. This article presents the survey results and discusses reported barriers to water-use data availability and sharing, as well as potential implications of limited water-use information. This study advances understanding of water-use data availability and sharing and contributes to broader research on US water data governance.

《美国安全水法》指出,对水的使用进行研究对于评估对水和生态资源的影响以及预测现有的地表水和地下水供应是否能满足未来的需要至关重要。美国地质调查局(USGS)通过提供全国一致的水量、水质和用水信息,在《安全水法》中发挥着关键作用。各州和地区保存的用水数据对美国地质调查局的用水估算和建模技术至关重要,这些技术是这些工作的基础。然而,水资源利用数据的可用性尚未得到系统的评估。本研究通过对美国地质勘探局水科学中心(WSCs)的调查来解决这一差距。结果表明,美国各地的用水信息在内容和详细程度上各不相同。空间离散和全面的用水信息,如特定地点的消费使用、提取、调水、回流和流域间转移,不能广泛地提供给州和地区水资源机构和美国地质调查局的水资源中心,也不能在它们之间共享。本文介绍了调查结果,并讨论了报告的水资源利用数据可用性和共享的障碍,以及有限的水资源利用信息的潜在影响。这项研究促进了对水资源利用数据的可用性和共享的理解,并有助于对美国水资源数据治理的更广泛研究。
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引用次数: 0
Improving Evaporative Loss Forecasts in Arid Climates by Integrating Machine Learning Models With Feature Selection Algorithms 结合机器学习模型和特征选择算法改进干旱气候蒸发损失预测
IF 2.6 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-05-08 DOI: 10.1111/1752-1688.70025
Abdullah A. Alsumaiei

Evaporation is a major water-loss process that significantly disrupts the hydrological cycle; therefore, reliable and continuous evaporation monitoring is essential for decision-makers in water resource management. However, hyper-arid climates exhibit accelerated evaporation rates, complicating hydrological modeling. This study represents the first attempt to integrate the RReliefF algorithm for meteorological feature selection with machine learning models for pan evaporation prediction in hyper-arid climates. This approach overcomes the arbitrary selection of features for ML model input. Daily average pan evaporation rates at the examined stations exceed 8 mm/day. Such extremely high evaporative losses have been shown to hinder ML model performance. Extreme gradient boosting (XGBoost), random forest model, and k-nearest neighbors were used. Meteorological datasets were preprocessed using the RReliefF algorithm to rank their influence on pan evaporation variability. Depending on the weather station, shortwave radiation, wind speed, and average diurnal temperature emerged as the best predictors of pan evaporation rates. During the validation period, the Nash–Sutcliffe efficiency coefficient (NS), root mean squared error (RMSE), and mean absolute error (MAE) were 0.85–0.94, 1.152–1.833, and 0.863–1.147 mm/day, respectively. The findings of this study offer a robust and efficient computational approach for forecasting evaporative losses in hyper-arid environments.

蒸发是一种主要的水分流失过程,会严重破坏水文循环;因此,可靠和连续的蒸发监测对水资源管理的决策者至关重要。然而,极度干旱的气候表现出加速的蒸发速率,使水文模型复杂化。本研究首次尝试将用于气象特征选择的RReliefF算法与用于超干旱气候下蒸发皿蒸发预测的机器学习模型相结合。这种方法克服了机器学习模型输入特征的任意选择。受测站的蒸发皿日平均蒸发速率超过8毫米/天。这种极高的蒸发损失已被证明会阻碍ML模型的性能。使用了极端梯度增强(XGBoost)、随机森林模型和k近邻模型。利用RReliefF算法对气象数据集进行预处理,对其对蒸发皿蒸发变率的影响进行排序。根据气象站的不同,短波辐射、风速和平均日温度是蒸发皿蒸发速率的最佳预测指标。验证期内,Nash-Sutcliffe效率系数(NS)、均方根误差(RMSE)和平均绝对误差(MAE)分别为0.85 ~ 0.94、1.152 ~ 1.833和0.863 ~ 1.147 mm/d。本研究结果为预测超干旱环境下的蒸发损失提供了一种可靠而有效的计算方法。
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引用次数: 0
Interaction Between Urbanization and River System in a Plain River Network Region 平原河网地区城市化与水系的相互作用
IF 2.6 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-05-07 DOI: 10.1111/1752-1688.70012
Lei Wu, Qi Zhu, Lili Zhang, Leizhi Wang, Youpeng Xu

River system changes are widely observed in urbanization areas, but the relationship between urbanization and river system is poorly understood. We investigate the interaction between urbanization and river system in a plain river network region. Results show that the structure and morphology of the river system became simplified. In most areas, the higher the initial river density, the more river channel loss occurs. The interaction between urbanization and river system consists of three stages: (1) with the development of urbanization, a large amount of low-order channels were encroached, filled, and transformed into construction land, (2) urban expansion and channel loss change the process of runoff generation and concentration and increase the risk of rainstorm and flood disasters, and (3) to relieve these negative effects, humans add main channels by widening and excavating. Low-order channels fall victim to urbanization. Effective measures, including legislation, must be taken to protect low-order channels in the process of urbanization.

河流水系的变化在城市化地区被广泛观察到,但城市化与河流水系之间的关系却知之甚少。研究了平原河网地区城市化与水系的相互作用。结果表明,水系的结构和形态变得更加简化。在大多数地区,初始河流密度越高,河道损失越大。城市化与水系的相互作用可分为三个阶段:(1)随着城市化的发展,大量低阶河道被侵占、填满并转化为建设用地;(2)城市扩张和河道损失改变了径流的生成和集中过程,增加了暴雨和洪水灾害的风险;(3)为了缓解这些负面影响,人类通过拓宽和开挖增加了主河道。低阶渠道成为城市化的牺牲品。在城镇化进程中,必须采取包括立法在内的有效措施保护低阶渠道。
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引用次数: 0
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