Meimei Wu , Xuan Wei , Wei Ge , Guixiang Chen , Deqian Zheng , Yang Zhao , Min Chen , Yushan Xin
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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 (NDO<span><span><sup>1</sup></span></span>), 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.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"645 ","pages":"Article 132178"},"PeriodicalIF":5.9000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analyzing the spatial scale effects of urban elements on urban flooding based on multiscale geographically weighted regression\",\"authors\":\"Meimei Wu , Xuan Wei , Wei Ge , Guixiang Chen , Deqian Zheng , Yang Zhao , Min Chen , Yushan Xin\",\"doi\":\"10.1016/j.jhydrol.2024.132178\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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. 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引用次数: 0
摘要
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。
Analyzing the spatial scale effects of urban elements on urban flooding based on multiscale geographically weighted regression
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.
期刊介绍:
The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.