Yanqi Wei , Haichao Li , Yuliang Zhou , Nii Amarquaye Commey , Zhenduo Zhu , Hiroshi Ishidaira , Zijian Jiang , Dawen Yang
{"title":"Flood vulnerability assessment of urban agglomeration under the background of urban expansion","authors":"Yanqi Wei , Haichao Li , Yuliang Zhou , Nii Amarquaye Commey , Zhenduo Zhu , Hiroshi Ishidaira , Zijian Jiang , Dawen Yang","doi":"10.1016/j.jhydrol.2025.133962","DOIUrl":null,"url":null,"abstract":"<div><div>Rapid urbanization has significantly intensified the impact of natural disasters, particularly floods, posing a severe threat to urban safety. To enhance urban flood risk management, a quantitative assessment of urban flood vulnerability is essential. This study integrates multi-source data to develop the urban Development Index (DI) and the Normalized Difference Frequency Index (NDFI). By applying area-weighted aggregation, spatial overlay analysis and K-Means clustering, this research explores the spatiotemporal dynamics of urban expansion and its relationship with flood vulnerability in the Chengdu-Chongqing urban agglomeration. The results indicate that between 1995 and 2020, the region experienced significant urban expansion, with urban land increasing by 4,232 km<sup>2</sup>. Moreover, the newly developed urban areas were found to be more vulnerable to flooding, with 42.26 % affected by floods in 2020. However, the flood vulnerability did not show a simple linear relationship with development level. In more developed cities, such as Chongqing, showed decreasing vulnerability (from level C to A) due to high-elevation terrain and sustained investment in flood mitigation. In contrast, Chengdu experienced increasing vulnerability (from level A to C) due to rapid expansion over flat agricultural land with dense construction. Furthermore, Ziyang showed high flood vulnerability despite slow development, with over 80 % of its newly developed urban areas were affected by floods. The proposed flood vulnerability assessment framework provides a scientific basis for flood risk management in Chengdu-Chongqing urban agglomeration and other similar inland city clusters. Additionally, it serves as a valuable reference for future urban expansion planning and disaster prevention strategies.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133962"},"PeriodicalIF":6.3000,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022169425013009","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
Rapid urbanization has significantly intensified the impact of natural disasters, particularly floods, posing a severe threat to urban safety. To enhance urban flood risk management, a quantitative assessment of urban flood vulnerability is essential. This study integrates multi-source data to develop the urban Development Index (DI) and the Normalized Difference Frequency Index (NDFI). By applying area-weighted aggregation, spatial overlay analysis and K-Means clustering, this research explores the spatiotemporal dynamics of urban expansion and its relationship with flood vulnerability in the Chengdu-Chongqing urban agglomeration. The results indicate that between 1995 and 2020, the region experienced significant urban expansion, with urban land increasing by 4,232 km2. Moreover, the newly developed urban areas were found to be more vulnerable to flooding, with 42.26 % affected by floods in 2020. However, the flood vulnerability did not show a simple linear relationship with development level. In more developed cities, such as Chongqing, showed decreasing vulnerability (from level C to A) due to high-elevation terrain and sustained investment in flood mitigation. In contrast, Chengdu experienced increasing vulnerability (from level A to C) due to rapid expansion over flat agricultural land with dense construction. Furthermore, Ziyang showed high flood vulnerability despite slow development, with over 80 % of its newly developed urban areas were affected by floods. The proposed flood vulnerability assessment framework provides a scientific basis for flood risk management in Chengdu-Chongqing urban agglomeration and other similar inland city clusters. Additionally, it serves as a valuable reference for future urban expansion planning and disaster prevention strategies.
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.