Exploring the dynamic impact of future land use changes on urban flood disasters: A case study in Zhengzhou City, China
• A comprehensive research framework based on various scenarios was successfully established. • A rainfall-runoff-flood model was developed to evaluate the impact of future land use changes on flooding risks. • Economic development scenario leads to higher surface runoff and flood hazard. • Strengthening ecological protection can effectively reduce flood hazards. In recent years, urban floods have increased in frequency and severity due to intensified extreme rainfall events exacerbated by rapid urbanization. This study integrates a Markov-PLUS model and a rainfall-runoff-flood hydraulic numerical model to establish a scenario-based research framework for identifying interactions between land use dynamics and urban flood risk, using the Jialu River basin in Zhengzhou, China, as a case study. Future land use changes under three scenarios were forecast: Natural Development (ND), Economic Development (ED), and Ecological Protection (EP), alongside rainfall scenarios occurring every 10, 50, and 100 years. There were expansions and decreases in construction land under the ED and EP scenarios, respectively, emphasizing the importance of prioritizing ecological conservation. Economic scenarios showed the highest risks under the increased surface runoff and flood risk driven by higher rainstorm intensity. Over the next 15 years, the Economic Development scenario is projected to increase flood hazard areas, whereas the intensified Ecological Protection scenario is expected to reduce these risks. This underscores the contribution of prioritizing ecological conservation to mitigating disaster risks, calling for enhanced drainage systems and elevated flood protection standards to promote resilient urban development in the face of increasingly severe urban flood challenges.
Authors
- Yao Xiao (ORCID: https://orcid.org/0000-0002-2258-9421)
- Shao Sun (ORCID: https://orcid.org/0000-0003-3411-5466)
- Yuanyuan Bai
- Ruoxin Li (ORCID: https://orcid.org/0000-0003-3313-6652)
- Yi Zhao (ORCID: https://orcid.org/0000-0002-0919-867X)
- Yujie Pan
- Yingjun Xu
Institutions
- Peking University (CN)
- Beijing Normal University (CN)
- Chinese Academy of Meteorological Sciences (CN)
Publication Details
- Journal
- Geography and sustainability
- Published
- 2025-03-17
- DOI
- https://doi.org/10.1016/j.geosus.2025.100287
- Citations
- 5
- Primary Topic
- Flood Risk Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 5.53
Funders
- National Key Research and Development Program of China