Exploring characteristics and drivers of flood hazard under different urban development patterns

IF 5.6 Q1 ENVIRONMENTAL SCIENCES
Ming Zhong , Tailin Chen , Lu Zhuo , Zeqiang Wang , Feng Ling , Dawei Han
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引用次数: 0

Abstract

Urban expansion can influence flooding by altering impervious area, surface runoff and the distribution of population. While the impact of urban development on flood hazards has been widely studied, the variation in flood characteristics in the context of urban development patterns remain insufficiently explored. This study analyzed flood characteristics and driving factors across 49 study units within the Pearl River Basin from 1998 to 2022. Using the VIC and CaMa-Flood models, we simulated river flood depth and captured inundation map. Nearly 2 % of built-up area suffer flood inundation, and by comparing inundated area without flood protection, there is around 88 % reduction in inundated area with 100-year flood protection level. Urban development patterns were identified by population and built-up area, then study units were grouped into four distinct types combined effects of flood hazard levels and urban development: (i) expanding units with hazard-improved, (ii) expanding units with hazard-unimproved, (iii) non-expanding units with hazard-improved, and (iv) non-expanding units with hazard-unimproved. Four driving factors are identified by Kolmogorov-Smirnov tests, including vegetation coverage, elevation, distance to nearest drainage and soil permeability, which significantly influence flood hazard. This study presents a novel framework for assessing flood hazards by integrating urban development heterogeneity. Results would contribute to future urban planning and enhancing flood resilience.
探讨不同城市发展模式下洪涝灾害特征及驱动因素
城市扩张可以通过改变不透水面积、地表径流和人口分布来影响洪水。虽然城市发展对洪水灾害的影响已被广泛研究,但城市发展模式下洪水特征的变化仍未得到充分探讨。本文分析了1998 - 2022年珠江流域49个研究单元的洪水特征及其驱动因素。利用VIC和CaMa-Flood模型,模拟了河流洪水深度,获取了淹没图。近2%的建成区遭受洪水淹没,与没有防洪的淹没面积相比,达到百年一遇洪水水平的淹没面积减少了88%左右。根据人口和建成区划分了城市发展模式,并将研究单元划分为洪水灾害等级与城市发展综合效应的四种不同类型:(i)灾害改善的扩展单元,(ii)灾害未改善的扩展单元,(iii)灾害改善的非扩展单元和(iv)灾害未改善的非扩展单元。通过Kolmogorov-Smirnov检验确定了植被覆盖度、海拔高度、距离最近的排水距离和土壤渗透性四个驱动因素对洪涝灾害有显著影响。本研究提出了一个整合城市发展异质性的洪水灾害评估新框架。研究结果将有助于未来的城市规划和提高抗洪能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Environmental and Sustainability Indicators
Environmental and Sustainability Indicators Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.80
自引率
2.30%
发文量
49
审稿时长
57 days
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