Comprehensive Assessment and Obstacle Factor Recognition of Waterlogging Disaster Resilience in the Historic Urban Area
As climate change intensifies, cities are experiencing more severe rainfall and frequent waterlogging. When rainfall exceeds the carrying capacity of urban drainage networks, it poses a significant risk to urban facilities and public safety, seriously affecting sustainable urban development. Compare...
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MDPI AG
2025-05-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/14/6/208 |
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| author | Fangjie Cao Qianxin Wang Yun Qiu Xinzhuo Wang |
| author_facet | Fangjie Cao Qianxin Wang Yun Qiu Xinzhuo Wang |
| author_sort | Fangjie Cao |
| collection | DOAJ |
| description | As climate change intensifies, cities are experiencing more severe rainfall and frequent waterlogging. When rainfall exceeds the carrying capacity of urban drainage networks, it poses a significant risk to urban facilities and public safety, seriously affecting sustainable urban development. Compared with general urban built-up areas, they demonstrate greater vulnerability to rainfall-induced waterlogging due to their obsolete infrastructure and high heritage value, making it imperative to comprehensively enhance their waterlogging resilience. In this study, Qingdao’s historic urban area is selected as a sample case to analyze the interaction between rainfall intensity, the built environment, and population and business characteristics and the mechanism of waterlogging disaster in the historic urban area by combining with the concept of resilience; then construct a resilience assessment system for waterlogging in the historic urban area in terms of dangerousness, vulnerability, and adaptability; and carry out a measurement study. Specifically, the CA model is used as the basic model for simulating the possibility of waterlogging, and the waterlogging resilience index is quantified by combining the traditional research data and the emerging open-source geographic data. Furthermore, the waterlogging resilience and obstacle factors of the 293 evaluation units were quantitatively evaluated by varying the rainfall characteristics. The study shows that the low flooding resilience in the historic city is found in the densely built-up areas within the historic districts, which are difficult to penetrate, because of the high vulnerability of the buildings themselves, their adaptive capacity to meet the high intensity of tourism and commercial activities, and the relatively weak resilience of the built environment to disasters. Based on the measurement results, targeted spatial optimization strategies and planning adjustments are proposed. |
| format | Article |
| id | doaj-art-822dfaf148b343c889f5b54dc10b71db |
| institution | Kabale University |
| issn | 2220-9964 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj-art-822dfaf148b343c889f5b54dc10b71db2025-08-20T03:27:10ZengMDPI AGISPRS International Journal of Geo-Information2220-99642025-05-0114620810.3390/ijgi14060208Comprehensive Assessment and Obstacle Factor Recognition of Waterlogging Disaster Resilience in the Historic Urban AreaFangjie Cao0Qianxin Wang1Yun Qiu2Xinzhuo Wang3School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaDesign Institute NO. 3, Shandong Provincial Architectural Design & Research Institute Co., Ltd., Jinan 250001, ChinaAs climate change intensifies, cities are experiencing more severe rainfall and frequent waterlogging. When rainfall exceeds the carrying capacity of urban drainage networks, it poses a significant risk to urban facilities and public safety, seriously affecting sustainable urban development. Compared with general urban built-up areas, they demonstrate greater vulnerability to rainfall-induced waterlogging due to their obsolete infrastructure and high heritage value, making it imperative to comprehensively enhance their waterlogging resilience. In this study, Qingdao’s historic urban area is selected as a sample case to analyze the interaction between rainfall intensity, the built environment, and population and business characteristics and the mechanism of waterlogging disaster in the historic urban area by combining with the concept of resilience; then construct a resilience assessment system for waterlogging in the historic urban area in terms of dangerousness, vulnerability, and adaptability; and carry out a measurement study. Specifically, the CA model is used as the basic model for simulating the possibility of waterlogging, and the waterlogging resilience index is quantified by combining the traditional research data and the emerging open-source geographic data. Furthermore, the waterlogging resilience and obstacle factors of the 293 evaluation units were quantitatively evaluated by varying the rainfall characteristics. The study shows that the low flooding resilience in the historic city is found in the densely built-up areas within the historic districts, which are difficult to penetrate, because of the high vulnerability of the buildings themselves, their adaptive capacity to meet the high intensity of tourism and commercial activities, and the relatively weak resilience of the built environment to disasters. Based on the measurement results, targeted spatial optimization strategies and planning adjustments are proposed.https://www.mdpi.com/2220-9964/14/6/208historic urban areawaterlogging disasterCA modelrobustness modelobstacle factor |
| spellingShingle | Fangjie Cao Qianxin Wang Yun Qiu Xinzhuo Wang Comprehensive Assessment and Obstacle Factor Recognition of Waterlogging Disaster Resilience in the Historic Urban Area ISPRS International Journal of Geo-Information historic urban area waterlogging disaster CA model robustness model obstacle factor |
| title | Comprehensive Assessment and Obstacle Factor Recognition of Waterlogging Disaster Resilience in the Historic Urban Area |
| title_full | Comprehensive Assessment and Obstacle Factor Recognition of Waterlogging Disaster Resilience in the Historic Urban Area |
| title_fullStr | Comprehensive Assessment and Obstacle Factor Recognition of Waterlogging Disaster Resilience in the Historic Urban Area |
| title_full_unstemmed | Comprehensive Assessment and Obstacle Factor Recognition of Waterlogging Disaster Resilience in the Historic Urban Area |
| title_short | Comprehensive Assessment and Obstacle Factor Recognition of Waterlogging Disaster Resilience in the Historic Urban Area |
| title_sort | comprehensive assessment and obstacle factor recognition of waterlogging disaster resilience in the historic urban area |
| topic | historic urban area waterlogging disaster CA model robustness model obstacle factor |
| url | https://www.mdpi.com/2220-9964/14/6/208 |
| work_keys_str_mv | AT fangjiecao comprehensiveassessmentandobstaclefactorrecognitionofwaterloggingdisasterresilienceinthehistoricurbanarea AT qianxinwang comprehensiveassessmentandobstaclefactorrecognitionofwaterloggingdisasterresilienceinthehistoricurbanarea AT yunqiu comprehensiveassessmentandobstaclefactorrecognitionofwaterloggingdisasterresilienceinthehistoricurbanarea AT xinzhuowang comprehensiveassessmentandobstaclefactorrecognitionofwaterloggingdisasterresilienceinthehistoricurbanarea |