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Identification of Waterlogging-Prone Areas in Nanning from the Perspective of Urban Expansion

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  • Juan Huang

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China
    College of Economics and Trade, Guangxi University of Finance and Economics, Nanning 530007, China)

  • Jiangfeng Li

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Zhi Huang

    (Baise City Land Resources Information Surveying and Mapping Center, Baise 533000, China)

Abstract

The objective of this study was to discern the spatial and temporal patterns of areas in Nanning that are susceptible to waterlogging, particularly during various phases of urban expansion. Furthermore, this study presents a proposal outlining strategies aimed at preventing and controlling waterlogging. These strategies are based on the integration of the concepts of sponge city and resilient city construction. This study employed remote sensing (RS) and geographic information system (GIS) techniques to provide technical support. The supervised classification method and normalized difference index method were utilized to compare and extract impervious surfaces in Nanning from 2013 to 2020. The present investigation utilized the acquired impervious surfaces to compute the fractal dimension as a weighting factor, incorporating a digital elevation model (DEM) for the purpose of conducting a hydrological analysis in ArcGIS. Based on the findings of the study, several conclusions can be derived. The following conclusions can be drawn from the study: (1) The fractal dimension of Nanning varied over the study period, with values of 1.32, 1.41, and 1.58 in 2013, 2017, and 2020, respectively. The distribution of impervious surfaces showed a decreasing trend from the city center to the periphery. Urban planning and construction activities have significantly influenced the distribution of impervious surfaces, resulting in a progressively more complex and unstable structure. (2) From 2013 to 2020, the urban expansion fractal dimension increased from 1.32 to 1.58, indicating a decrease in the stability of impervious surfaces. The areas with higher concentrations of impervious surfaces coincided with frequent waterlogging-prone areas. Furthermore, the distribution of waterlogging-prone points transformed from a concentrated pattern to a scattered one. (3) In terms of waterlogging prevention and control strategies, the old urban areas are recommended to be transformed into sponge city projects, and the new development areas are planned, designed and implemented with the concept of “resilience”.

Suggested Citation

  • Juan Huang & Jiangfeng Li & Zhi Huang, 2023. "Identification of Waterlogging-Prone Areas in Nanning from the Perspective of Urban Expansion," Sustainability, MDPI, vol. 15(20), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:15095-:d:1263888
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    References listed on IDEAS

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    1. repec:cai:popine:popu_p1998_10n1_0240 is not listed on IDEAS
    2. Jinping Tong & Fei Gao & Hui Liu & Jing Huang & Gaofeng Liu & Hanyue Zhang & Qiong Duan, 2023. "A Study on Identification of Urban Waterlogging Risk Factors Based on Satellite Image Semantic Segmentation and XGBoost," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    3. Junqi Li & Haohan Zhang & Xiaoran Zhang & Wenliang Wang, 2023. "Establishment and Application of a Specialized Physical Examination Indicator System for Urban Waterlogging Risk in China," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    4. Zongjia Zhang & Yiping Zeng & Zhejun Huang & Junguo Liu & Lili Yang, 2023. "Multi-Source Data Fusion and Hydrodynamics for Urban Waterlogging Risk Identification," IJERPH, MDPI, vol. 20(3), pages 1-25, January.
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    Cited by:

    1. Lili Ni & Jinglun Li & Aihemaiti Namaiti, 2024. "Classification and Planning Strategies of Multidimensional Resilience Units for Urban Waterlogging: A Case Study of the Old City District in Shijiazhuang, China," Sustainability, MDPI, vol. 16(7), pages 1-26, March.

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