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Land-atmosphere interaction during heat waves diagnosed using vapor pressure deficit dynamics 利用蒸汽压力亏缺动力学诊断热浪期间陆地与大气的相互作用
IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-17 DOI: 10.1016/j.jhydrol.2024.132181
Shulin Zhang , Weiguang Wang , Jia Wei , Haiyang Qian , Charles Nduhiu Wamucii , Adriaan J. Teuling
Vapor pressure deficit (VPD) plays an essential role in determining land-atmospheric interaction by proving a gradient for moisture transport and modulating the biophysical process of plants. Land-atmosphere interaction has been suggested to affect the evolution of heatwave, including its intensification and propagation. However, the role of VPD dynamics in this interaction during heat waves remains unclear. Here, we apply the Pearson correlation coefficient between VPD and energy fluxes to diagnose VPD-induced land-atmospheric interaction over different climate regions and ecosystems, and then evaluate key factors’ contributions to this interaction through machine learning. The result shows a nonlinear coupling between VPD and sensible heat fluxes (H) or latent heat fluxes (LE) during heat waves with both strong positive and negative coupling. This coupling exhibits climate and species-dependent. there is a considerable positive coupling between VPD and LE in all climate regions. However, the coupling of VPD and H is more climate-sensitive which shows positive correlations in arid and cold regions and negative coupling in temperate region. Across various vegetation types, LE consistently demonstrates a positive correlation with VPD. In contrast, the coupling between VPD and H tends to be negative in short vegetation whereas positive in forests. In addition, we discovered that the coupling between VPD and LE or H is significantly influenced by the heat wave duration (HWD) at (p < 0.01). Specifically, the land-atmospheric interaction turns decoupling when the HWD extends beyond 8 days. Furthermore, the coupling direction between VPD and energy will change as heat waves evolve. The coupling direction between VPD and LE is considerably affected by maximum temperature. The direction of VPD and H coupling is intimately related to plant functional characteristics. Our research suggests that the VPD impacts should be imperative for accurately simulating land-atmospheric interaction during heat waves.
蒸气压差(VPD)在决定陆地-大气相互作用方面起着至关重要的作用,它为水分输送提供了一个梯度,并调节着植物的生物物理过程。陆地-大气相互作用被认为会影响热浪的演变,包括热浪的增强和传播。然而,热浪期间 VPD 动态在这种相互作用中的作用仍不清楚。在此,我们利用 VPD 与能量通量之间的皮尔逊相关系数来诊断不同气候区域和生态系统中 VPD 引起的陆地-大气相互作用,然后通过机器学习评估关键因素对这种相互作用的贡献。结果表明,在热浪期间,VPD 与显热通量(H)或潜热通量(LE)之间存在非线性耦合,既有强烈的正耦合,也有强烈的负耦合。在所有气候区,VPD 和 LE 之间都存在相当大的正耦合。然而,VPD 和 H 的耦合对气候更为敏感,在干旱和寒冷地区呈正相关,而在温带地区呈负相关。在各种植被类型中,LE 始终与 VPD 呈正相关。相反,在矮小植被中,VPD 与 H 之间的耦合往往为负,而在森林中则为正。此外,我们还发现,热浪持续时间(HWD)对 VPD 与 LE 或 H 之间的耦合有显著影响(p < 0.01)。具体来说,当热浪持续时间超过 8 天时,陆地与大气之间的相互作用会转为解耦。此外,随着热浪的演变,VPD 与能量之间的耦合方向也会发生变化。VPD 和 LE 之间的耦合方向在很大程度上受最高温度的影响。VPD 和 H 的耦合方向与植物的功能特性密切相关。我们的研究表明,要准确模拟热浪期间陆地与大气之间的相互作用,VPD 的影响是必不可少的。
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引用次数: 0
Distinctive water bodies surrounding lakes: An effective indicator for drought monitoring and assessment 湖泊周围的独特水体:干旱监测和评估的有效指标
IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-17 DOI: 10.1016/j.jhydrol.2024.132179
Zhen Zhang , Bingsun Chen , Junjie Li , Wenjun Xie , Beibei Yang , Yi Bao , Yijia Xie , Qianyu Wang , Yating Wei , Wen Zhang , Linyi Li , Yun Chen , Lingkui Meng
The response mechanisms of surface water to drought and the potential and performance of water body changes in drought monitoring and assessment remain insufficiently elucidated. We take the Poyang Lake Basin, which suffers from drastic water body changes and frequent droughts, as a representative. Through integrating multisource data to extract long-term precise water bodies, we construct standardized water body area/number anomaly indices (SAAI/SNAI). Subsequently, we quantify the correlation and time lag response between SAAI, SNAI and drought. Our findings reveal that overall, water body area and number in the Poyang Lake Basin all exhibit a significant correlation with typical drought indices. Among them, the large water body area has a higher correlation coefficient with drought, making it a more effective indicator for drought monitoring. Water body changes of Poyang Lake surrounding area offer a more precise reflection of drought conditions than other sub-basins and exhibit greater sensitivity to drought. Meanwhile, water body area changes in Poyang Lake surrounding area lag behind meteorological drought by approximately half a month. And the basin’s water body area can typically respond with changes to some prolonged and severe hydrological droughts about 1 to 2 months in advance. We propose an integrated mechanism for drought monitoring and assessment informed by these conclusions and use actual drought events for qualitative validation. The results indicate that it is possible to assess water body drought conditions for the next approximately half month based on current meteorological drought conditions. Also, combining water body area changes with meteorological drought severity can aid in evaluating hydrological drought conditions for the following about 1–2 months. We extend our investigation to explore the universality of these phenomenon across eight shallow lakes globally characterized by significant water fluctuations. The results reveal that the water body changes in most of these lakes exhibit good potential for drought monitoring and assessment, and present a strong consistency with deep soil moisture, allowing for the accurate reflection of deep soil drought conditions. The lag response patterns between water bodies and drought in Dongting Lake, Hongze Lake, and Tonlé Sap Lake—also situated in the monsoon climate zone—are more similar to those observed in Poyang Lake. These distinctive lake water bodies can serve as an innovative indicator for drought monitoring and assessment, providing potential support for endeavors in drought prevention and mitigation.
地表水对干旱的响应机制以及水体变化在干旱监测和评估中的潜力和表现仍未得到充分阐明。我们以水体变化剧烈、干旱频发的鄱阳湖流域为代表。通过整合多源数据提取长期精确水体,构建标准化水体面积/数量异常指数(SAAI/SNAI)。随后,我们量化了 SAAI、SNAI 与干旱之间的相关性和时滞响应。研究结果表明,总体而言,鄱阳湖流域的水体面积和数量均与典型干旱指数存在显著相关性。其中,大水体面积与干旱的相关系数更高,是更有效的干旱监测指标。与其他子流域相比,鄱阳湖周边地区的水体变化能更准确地反映旱情,对干旱表现出更高的敏感性。同时,鄱阳湖周边地区水体面积变化比气象干旱滞后约半个月。而对于一些持续时间较长的严重水文干旱,该流域的水体面积一般可提前 1 至 2 个月发生变化。我们根据这些结论提出了干旱监测和评估的综合机制,并利用实际干旱事件进行定性验证。结果表明,根据当前的气象干旱条件,可以评估未来约半个月的水体干旱状况。此外,将水体面积变化与气象干旱严重程度相结合,也有助于评估未来约 1-2 个月的水文干旱状况。我们将调查范围扩大到全球 8 个水量波动较大的浅水湖泊,以探索这些现象的普遍性。结果表明,大多数湖泊的水体变化具有良好的干旱监测和评估潜力,并与深层土壤水分具有很强的一致性,可以准确反映深层土壤的干旱状况。同样位于季风气候区的洞庭湖、洪泽湖和洞里萨湖的水体与干旱之间的滞后响应模式与鄱阳湖更为相似。这些独特的湖泊水体可作为干旱监测和评估的创新指标,为防旱减灾工作提供潜在支持。
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引用次数: 0
Accurate simulation of extreme rainfall–flood events via an improved distributed hydrological model 通过改进的分布式水文模型精确模拟极端降雨-洪水事件
IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-17 DOI: 10.1016/j.jhydrol.2024.132190
Ji Li , Jiao Liu , Zhiqiang Xia , Chenrun Liu , Yuechen Li
Recently, the high incidence of extreme rainfall and flood events worldwide has severely harmed regional economies and societies. Therefore, flood simulations and forecasts, which can provide key technical support for regional flood control and disaster reduction, are urgently needed. The Liuxihe model, as a fully distributed, physically based hydrological model, was improved in this study to simulate extreme rainfall flood events in the Beijiang River Basin. This basin is a famous rainstorm centre in Guangxi Province, China. In this work, the Liuxihe model is improved in two aspects: first, its structure and runoff generation and confluence algorithm are improved, and second, the parameter calibration method is optimised. These two adjustments improve the flood simulation performance of the model and reduce the uncertainty of the simulation results. The results revealed that the flood simulated by the improved Liuxihe model was strongly consistent with the measured values, and the index values of the Nash coefficient, correlation coefficient, process relative error, and flood peak flow error performed very well in the scheme evaluation; in particular, the mean process relative error, flood peak error, and peak time difference decreased by 62%, 63%, and 80%, respectively, after model improvement. The error indicators of the simulation were within the allowable error range from the Standard for Hydrological Information and Hydrological Forecasting (GB/T-22482–2008), which meets the accuracy requirements of flood forecasting in the local hydrological department and can be used as a practical operational plan for flood forecasting. These satisfactory flood simulation results showed that the model and algorithm were improved; thus, the improved Liuxihe model can provide important theoretical guidance for regional flood forecasting and flood disaster mitigation.
近来,全球极端降雨和洪水事件频发,严重损害了地区经济和社会。因此,迫切需要洪水模拟和预报,为区域防洪减灾提供关键技术支撑。本研究改进了全分布式物理水文模型柳溪河模型,以模拟北江流域的极端降雨洪水事件。该流域是中国广西省著名的暴雨中心。本研究从两个方面对柳溪河模型进行了改进:一是改进了模型结构和径流生成及汇流算法,二是优化了参数校核方法。这两项调整改善了模型的洪水模拟性能,降低了模拟结果的不确定性。结果表明,改进后的流溪河模型模拟的洪水与实测值具有很强的一致性,纳什系数、相关系数、过程相对误差、洪峰流量误差等指标值在方案评价中表现很好;特别是模型改进后,平均过程相对误差、洪峰误差、洪峰时差分别下降了62%、63%和80%。模拟的各项误差指标均在《水文情报与水文预报标准》(GB/T-22482-2008)的允许误差范围内,满足当地水文部门对洪水预报精度的要求,可作为洪水预报的实用业务方案。这些令人满意的洪水模拟结果表明,模型和算法都得到了改进,因此,改进后的流溪河模型可为区域洪水预报和洪水减灾提供重要的理论指导。
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引用次数: 0
Using hydrological modeling and satellite observations to elucidate subsurface and surface hydrological responses to the extreme drought 利用水文模型和卫星观测来阐明地下和地表水文对极端干旱的反应
IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-17 DOI: 10.1016/j.jhydrol.2024.132174
Zixuan Tang , Yongqiang Zhang , Jing Tian , Ning Ma , Xiaojie Li , Dongdong Kong , Yijing Cao , Xuening Yang , Longhao Wang , Xuanze Zhang , Yuyin Chen
Climate change and anthropogenic activities have intensified extreme weather events globally. In the summer of 2022, the Yangtze River Basin (YRB) in China experienced an extreme drought, significantly impacting the ecosystems and society. However, the specific effects of this extreme drought on surface and subsurface hydrological dynamics remain unclear. Here we employed satellite-observed terrestrial water storage anomaly (TWSA) and a modified hydrological model with consideration of reservoir operation, human water consumption, and water diversion engineering to quantify how subsurface and surface water in YRB responded to such an extreme drought in 2022. Validation against a series of observations shows that the modified model has good performance in reproducing daily streamflow, reservoir water storage, lake water storage, and snow water equivalent. It achieved more precise GRACE TWSA estimates in the YRB with significant human intervention, and therefore it can accurately quantify both surface and subsurface hydrological responses to the 2022 extreme drought. Compared to the same months (July-December) in 2015–2021, the drought in 2022 resulted in a decrease in precipitation and discharge of 373 km3 (36 %) and 324 km3 (50 %), respectively, while an increase in evapotranspiration of 156 km3 (29 %) in the YRB. In general, the surface water storage (SWS) is relatively low from July 2022, followed by subsurface water storage (SSWS) from August 2022, indicating an approximately one-month lag from the former to the latter. During the latter half year of 2022, the SWS and SSWS reduced by 48 km3 and 83 km3, respectively, suggesting the changes in the latter dominated the TWS variations. This study sheds light on the responses of surface and subsurface hydrology to extreme droughts, and the hydrological modeling framework with consideration of human activities proposed here holds applicability beyond the YRB.
气候变化和人为活动加剧了全球极端天气事件。2022 年夏季,中国长江流域遭遇特大干旱,对生态系统和社会造成了严重影响。然而,这次特大干旱对地表和地下水文动态的具体影响仍不清楚。在此,我们利用卫星观测到的陆地蓄水异常(TWSA)和一个考虑了水库运行、人类用水和引水工程的改进水文模型,量化了 2022 年长江流域地下水和地表水如何应对这场特大干旱。根据一系列观测数据进行的验证表明,改进后的模型在再现日径流量、水库蓄水量、湖泊蓄水量和雪水当量方面具有良好的性能。在大量人工干预的情况下,该模型在YRB中实现了更精确的GRACE TWSA估算,因此可以准确量化地表和地下水对2022年极端干旱的响应。与 2015-2021 年的相同月份(7 月至 12 月)相比,2022 年的干旱导致 YRB 的降水量和排水量分别减少了 373 千立方米(36%)和 324 千立方米(50%),而蒸散量增加了 156 千立方米(29%)。总体而言,从 2022 年 7 月开始,地表蓄水量(SWS)相对较低,从 2022 年 8 月开始,地表下蓄水量(SSWS)紧随其后,这表明从前者到后者有大约一个月的滞后期。在 2022 年的后半年,地下蓄水量和地下水储量分别减少了 48 千立方米和 83 千立方米,表明后者的变化主导了总温差变化。这项研究揭示了地表和地下水文对极端干旱的响应,本文提出的考虑人类活动的水文建模框架适用于长三角地区以外的地区。
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引用次数: 0
Unraveling the nexus: exploring river-groundwater interaction as the primary driver of eutrophication in river ecosystems 揭示关系:探索河流生态系统富营养化的主要驱动因素--河流与地下水的相互作用
IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-17 DOI: 10.1016/j.jhydrol.2024.132185
Edoardo Severini , Monia Magri , Elisa Soana , Marco Bartoli
Over recent decades, increased agricultural activities have significantly modified nitrogen (N) and water cycles, leading to a worsening of the environmental quality and widespread eutrophication. The present work investigates the critical issue of N contamination and its impact on eutrophication in three rivers located in the central part of the Po Plain (Northern Italy), one of Europe’s hotspots of N-fertilizers input and loss to aquatic ecosystems. The primary scientific problem addressed is the role of river-groundwater interactions in exacerbating eutrophication, primarily driven by nitrate (NO3-). Historical data from the past ten years on dissolved inorganic N forms in groundwater and rivers were analyzed and interpreted in relation to different watershed managements. This analysis quantified both the volumetric and qualitative contributions of river-groundwater interactions to rivers eutrophication.
Results indicate that river-groundwater interactions can be indeed the main cause of eutrophication in intensively cultivated watersheds, with effects surpassing those of typical causes like wastewater. The study highlights how the simultaneous presence of inefficient irrigation practices promotes surface water (and groundwater) overexploitation, reducing dilution and increasing contamination. All the analyzed rivers showed localized increase in NO3- concentration and worsening of their trophic status. Given the foresaw increase in groundwater and surface water use for irrigation under climate change pressures, this research provides a crucial empirical example of future challenges for regions with high N inputs and close relations among soil, groundwater, and surface water. The findings emphasize the urgent need for improved water and agricultural management to mitigate river-groundwater interaction-induced eutrophication.
近几十年来,农业活动的增加极大地改变了氮(N)和水循环,导致环境质量恶化和普遍富营养化。本研究调查了位于波河平原(意大利北部)中部的三条河流的氮污染及其对富营养化的影响这一关键问题,波河平原是欧洲水生生态系统氮肥输入和流失的热点地区之一。研究的主要科学问题是河流与地下水之间的相互作用在加剧富营养化方面所起的作用,而富营养化主要是由硝酸盐(NO3-)引起的。我们分析了过去十年地下水和河流中无机氮溶解形式的历史数据,并结合不同的流域管理进行了解读。结果表明,河流与地下水之间的相互作用可能是导致集约耕作流域富营养化的主要原因,其影响超过了废水等典型原因。该研究强调了低效灌溉方法的同时存在如何促进地表水(和地下水)的过度开发、减少稀释和增加污染。所有被分析的河流都显示出局部地区 NO3- 浓度的增加及其营养状态的恶化。鉴于在气候变化的压力下,地下水和地表水灌溉用水量预计会增加,这项研究为氮输入量高且土壤、地下水和地表水之间关系密切的地区未来面临的挑战提供了一个重要的经验范例。研究结果强调,迫切需要改进水和农业管理,以减轻河流-地下水相互作用引起的富营养化。
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引用次数: 0
Application of seismically derived tilt signals to characterize groundwater flow regimes: An example from a constant-rate pumping test in Taiwan 应用地震得出的倾斜信号来描述地下水流状态:以台湾的恒定速率抽水试验为例
IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-17 DOI: 10.1016/j.jhydrol.2024.132188
Chu-Fang Yang , Wu-Cheng Chi , Chien-Chung Ke , Chin-Jen Lin
Aquifer volumetric changes induce ground deformation. In hydrogeology, a constant-rate pumping test is used to characterize an aquifer system and its flow regimes. However, data only from one or two wells in a pumping site may lack detailed spatial information for a heterogeneous site. We propose that ground tilts detected by seismometers may provide additional spatial coverage. Here, we installed nine closely spaced broadband seismometers around a pumping well within 3–38 m to measure hydraulic-induced ground tilts during a 24-h constant rate pumping conducted in northeastern Taiwan. The tilts are overall consistent with an inverted cone shape analytical solution of ground vertical displacement due to water pressure perturbation. We found that ground subsidence, water table drawdown, vertical displacement, and ground tilt are linear with each other. However, inconsistent tilt directions show that local heterogeneities at each station affect the deformation pattern. The tilts at the stations near the pumping well were approximately oriented in a northwest-southeast direction, parallel to the dip directions of the fractures and the bedding plane. Tilt-estimated flow dimensions at seismic stations are spatially consistent with the drawdown-estimated flow dimensions at two wells. Preliminary hydrogeological surveys and seismic analyses show that this groundwater system combines sub-radial and spherical flow and has impermeable boundaries. The network is restricted by impermeable strata at greater depth, and the steep dipping fractures and the bedding plane. We demonstrate that the time series of tilts can be used to estimate flow dimensions at the tested site. Multiple closely spaced seismometers help to characterize details of the fractured groundwater network for constraining flow regimes and hydrogeological conditions.
含水层体积变化会引起地面变形。在水文地质学中,恒定速率抽水试验可用于确定含水层系统及其流态的特征。然而,仅从抽水地点的一两口水井获得的数据可能缺乏异质地点的详细空间信息。我们建议利用地震仪探测地面倾斜,以提供额外的空间覆盖范围。在此,我们在抽水井周围 3-38 米范围内安装了九个间距较近的宽带地震仪,以测量在台湾东北部进行的 24 小时恒速抽水过程中水力引起的地面倾斜。这些倾斜总体上与水压扰动引起的地面垂直位移的倒锥形分析解一致。我们发现,地面沉降、地下水位下降、垂直位移和地面倾斜之间呈线性关系。然而,倾斜方向的不一致表明,每个站点的局部异质性会影响变形模式。抽水井附近测站的倾斜方向大致呈西北-东南走向,与断裂和基底面的倾角方向平行。地震站的倾斜估算流量尺寸与两口井的抽水估算流量尺寸在空间上是一致的。初步的水文地质勘测和地震分析表明,该地下水系统结合了次径流和球形流,并具有防渗边界。该水网受到较深的不透水地层、陡倾断裂和基底面的限制。我们证明,倾斜的时间序列可用于估算测试地点的流动尺寸。多个紧密间隔的地震仪有助于确定断裂地下水网的细节特征,从而对流动机制和水文地质条件进行约束。
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引用次数: 0
A multi-objective optimization framework for terrain modification based on a combined hydrological and earthwork cost-benefit 基于水文和土方工程综合成本效益的地形改造多目标优化框架
IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-17 DOI: 10.1016/j.jhydrol.2024.132154
Hanwen Xu , Mark Randall , Lei Li , Yuyi Tan , Thomas Balstrøm
The escalating risk of urban inundation has drawn increased attention to urban stormwater management. This study proposes a Terrain Modification Multi-Objective Optimization (TMMOO) framework, combining the Non-dominated Sorting Genetic Algorithm II (NSGA-II) with digital elevation model (DEM)-based hydrological cost factor analysis. To reduce the precipitation’s erosive forces and runoff’s kinetic energy, TMMOO offers the possibility of efficiently searching numerous solution sets that meet three conflicting objectives: minimizing maximum flow velocity, maximizing runoff path length and minimizing earthwork costs. Our application case study in Høje Taastrup, Denmark, demonstrates the ability of the TMMOO framework to iteratively generate diversified modification solutions, which form the reference for topography planning. Three DEM resolutions were inputted to validate the TMMOO framework’s accuracy and applicability. Challenges remain in optimizing computational speed and seeking effective solutions at the finer resolution. Integrating genetic algorithms with DEM-based analysis demonstrates the potential to consider more complicated hydrological benefit objectives with open-ended characteristics. The result of this study provides a novel and efficient way to optimize topographic characteristics for improving holistic stormwater management strategies.
不断升级的城市淹没风险已引起人们对城市雨水管理的更多关注。本研究提出了地形改造多目标优化(TMMOO)框架,将非优势排序遗传算法 II(NSGA-II)与基于数字高程模型(DEM)的水文成本因素分析相结合。为了减少降水的侵蚀力和径流的动能,TMMOO 提供了有效搜索众多解决方案集的可能性,以满足三个相互冲突的目标:最大流速最小化、径流路径长度最大化和土方工程成本最小化。我们在丹麦 Høje Taastrup 的应用案例研究表明,TMMOO 框架有能力迭代生成多样化的修改方案,为地形规划提供参考。为了验证 TMMOO 框架的准确性和适用性,我们输入了三种 DEM 分辨率。在优化计算速度和寻求更精细分辨率的有效解决方案方面仍存在挑战。将遗传算法与基于 DEM 的分析相结合,显示了考虑具有开放式特征的更复杂水文效益目标的潜力。这项研究的结果为优化地形特征以改进整体雨水管理策略提供了一种新颖而有效的方法。
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引用次数: 0
Research on methodology for assessing social vulnerability to urban flooding: A case study in China 城市洪涝灾害社会脆弱性评估方法研究:中国案例研究
IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-17 DOI: 10.1016/j.jhydrol.2024.132177
Meimei Wu, Min Chen, Guixiang Chen, Deqian Zheng, Yang Zhao, Xuan Wei, Yushan Xin
Cities are economically developed, densely populated, highly concentrated areas of social wealth and high social vulnerability to floods. Assessing social vulnerability to urban flooding (SVUF) is important for improving a city’s ability to resist floods and reduce casualties and economic losses caused by disasters. However, owing to the abstract and complex nature of social vulnerability itself, the connotation of SVUF and the indicator system have not been standardised, and the rationality of the assessment methodology is controversial; therefore, assessing the SVUF faces great challenges. In this study, the connotation of SVUF was analysed based on social system theory. We considered the interactions between disasters and groups to construct a system of assessment indicators. The game-theory combinatorial weighting method (GTCWM) was used to determine the weights of indicator combinations, combined with the technique for order preference by similarity to an ideal solution (TOPSIS) to establish the SVUF assessment model. Zhengzhou City was taken as an example to verify the results of the model. The assessment results show that the Huiji District in Zhengzhou City has the lowest SVUF. Erqi and Zhongyuan Districts have similar SVUF, and both are at a medium level. Guancheng District has high SVUF. Jinshui District has the highest SVUF. Jinshui District is an old urban area with a large poor population, high unemployment rate, and old infrastructure, which makes its overall SVUF high and susceptible to flooding. This assessment model can provide a scientific basis for urban flood mitigation measures.
城市是经济发达、人口稠密、社会财富高度集中的地区,也是极易受到洪灾影响的社会区域。评估城市洪涝灾害的社会脆弱性(SVUF)对于提高城市抵御洪涝灾害的能力、减少灾害造成的人员伤亡和经济损失具有重要意义。然而,由于社会脆弱性本身的抽象性和复杂性,SVUF 的内涵和指标体系尚未统一,评估方法的合理性也存在争议,因此,SVUF 的评估面临着巨大的挑战。本研究基于社会系统理论对 SVUF 的内涵进行了分析。我们考虑了灾害与群体之间的相互作用,构建了评估指标体系。采用博弈论组合加权法(GTCWM)确定指标组合的权重,结合理想解相似度排序偏好技术(TOPSIS)建立 SVUF 评估模型。以郑州市为例,对模型结果进行了验证。评估结果显示,郑州市惠济区的 SVUF 最低。二七区和中原区的 SVUF 相近,均处于中等水平。管城区的 SVUF 较高。金水区的 SVUF 最高。金水区是老城区,贫困人口多,失业率高,基础设施陈旧,整体 SVUF 偏高,易受洪涝灾害影响。该评估模型可为城市防洪减灾措施提供科学依据。
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引用次数: 0
Considerations in designing climate change assessments for complex, non-linear hydrological systems 为复杂的非线性水文系统设计气候变化评估时的考虑因素
IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-17 DOI: 10.1016/j.jhydrol.2024.132182
Fiona Johnson , Clare Stephens , Martin Krogh
Bias correction of climate model simulations is vital to allow climate change impacts to be assessed for water resources systems. However, there has been limited research to date on the implications of system non-linearity on bias correction approaches. Here we bias correct regional climate model simulations of precipitation and evapotranspiration and use the output to force hydrological and water balance models of five small, interconnected lakes located south west of Sydney. We show that substantial, non-linear storage within the lakes amplifies biases that are not evident when the climate forcing or even the hydrological model simulations are evaluated using daily distributions of the climate variables and streamflow.
The non-linearity in the stage-storage relationships of the lakes means that each lake responds differently to the same climate forcings. For example, ensemble mean projections for one lake suggest increases in water level across the full distribution of lake levels, whilst other lakes are projected to have decreasing water levels up to the median of the distribution, but increases during wetter conditions. These differences are explained by the varying influence of potential evapotranspiration increases depending on the surface area of the lakes at different depths. Using bottom up climate change assessments, we further explore these non-linear responses of the lakes to different climate forcings. We show that bottom up climate change assessments can provide information on the relative role of potential evapotranspiration changes compared to precipitation changes, providing more guidance to ecosystem managers than just using bias corrected climate model simulations alone. The paper discusses opportunities for future work to improve representation of climate attributes important for storage dominated water resource and natural ecosystems.
气候模型模拟的偏差修正对于评估气候变化对水资源系统的影响至关重要。然而,迄今为止,关于系统非线性对偏差校正方法的影响的研究还很有限。在本文中,我们对区域气候模式模拟的降水量和蒸散量进行了偏差校正,并利用输出结果对位于悉尼西南部的五个相互连接的小湖泊的水文和水平衡模式进行了强制校正。我们的研究表明,湖泊内大量的非线性存储放大了偏差,而在使用气候变量和溪流的日分布评估气候强迫甚至水文模型模拟时,这些偏差并不明显。例如,对一个湖泊的集合平均预测表明,在整个湖泊水位分布中,水位都会上升;而对其他湖泊的预测则是,在水位分布的中位数以下,水位会下降,但在较潮湿的条件下,水位会上升。这些差异的原因是,根据不同深度的湖泊表面积,潜在蒸散量增加的影响各不相同。通过自下而上的气候变化评估,我们进一步探索了湖泊对不同气候作用力的非线性响应。我们的研究表明,自下而上的气候变化评估可以提供有关潜在蒸散量变化与降水量变化的相对作用的信息,从而为生态系统管理人员提供更多指导,而不仅仅是使用偏差校正气候模型模拟。本文讨论了未来工作的机会,以改进对以储存为主的水资源和自然生态系统非常重要的气候属性的表示。
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引用次数: 0
Analyzing the spatial scale effects of urban elements on urban flooding based on multiscale geographically weighted regression 基于多尺度地理加权回归分析城市要素对城市洪水的空间尺度效应
IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-16 DOI: 10.1016/j.jhydrol.2024.132178
Meimei Wu , Xuan Wei , Wei Ge , Guixiang Chen , Deqian Zheng , Yang Zhao , Min Chen , Yushan Xin
In the context of rapid urbanization and the frequent occurrence of extreme rainfall in cities, the risk of flooding in the future will further increase, and the problem of urban flooding cannot be ignored. Urban elements exhibit significant spatial heterogeneity, which largely determines the spatial distribution differences in urban flooding. Therefore, it is important to clarify the scale of influence of different urban elements and explore their scale effects on urban flooding to accurately assess the risk of urban flooding. Taking Zhengzhou City, China, as the study area, this study analyzed the urban elements associated with urban flooding, quantified the scale of the influence of urban elements on flooding using multiscale geographically weighted regression (MGWR), and further explored the spatial scale effects of urban elements on urban flooding. The results showed that MGWR can better fit the spatially non-uniform distribution of urban flooding and that the scale of the influence of urban elements on urban flooding can be reflected by the bandwidth of MGWR. The results of MGWR indicated that the bandwidths of elevation, number of drainage outfalls (NDO1), distance to river (DR), Gross domestic product (GDP), proportion of residential land (PRL), and proportion of commercial land (PCL) were small, and their influence scales were localized. In contrast, the influence of rainfall return period (RRP), slope, proportion of industrial land (PIL), proportion of public service land (PPSL), proportion of road area (PRA), proportion of green land (PGL), input level of materials for flood control projects (ILMFCP), population density (PD), manpower input (MI), and investment level in education and research (ILER) were at global scales. The most influential factors for urban flooding were RRP, PD, and MI. Slope, DR, and PRA had less influence on urban flooding. This study helps improve the effectiveness of urban flood prevention and mitigation efforts.
在城市化进程加快、城市极端降雨频发的背景下,未来洪涝灾害的风险将进一步加大,城市内涝问题不容忽视。城市要素表现出明显的空间异质性,这在很大程度上决定了城市内涝的空间分布差异。因此,明确不同城市要素的影响尺度,探讨其对城市内涝的尺度效应,对于准确评估城市内涝风险具有重要意义。本研究以中国郑州市为研究区域,分析了与城市内涝相关的城市要素,利用多尺度地理加权回归(MGWR)量化了城市要素对内涝的影响尺度,并进一步探讨了城市要素对城市内涝的空间尺度效应。结果表明,多尺度地理加权回归能更好地拟合城市内涝的空间非均匀分布,城市要素对城市内涝的影响尺度可以通过多尺度地理加权回归的带宽反映出来。MGWR 的结果表明,海拔高度、排水口数量(NDO1)、河流距离(DR)、国内生产总值(GDP)、居住用地比例(PRL)和商业用地比例(PCL)的带宽较小,其影响尺度是局部的。而降雨重现期(RRP)、坡度、工业用地比例(PIL)、公共服务用地比例(PPSL)、道路面积比例(PRA)、绿地比例(PGL)、防洪工程物资投入水平(ILMFCP)、人口密度(PD)、人力投入(MI)、教育科研投入水平(ILER)等因素的影响范围则是全局性的。对城市洪水影响最大的因素是 RRP、PD 和 MI。坡度、DR 和 PRA 对城市内涝的影响较小。这项研究有助于提高城市防洪减灾工作的有效性。
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引用次数: 0
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Journal of Hydrology
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