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Title: | Planning scale flood risk assessment and prediction in ultra-high density urban environments : the case of Hong Kong | Authors: | Gu, X Liu, X |
Issue Date: | May-2024 | Source: | Ecological indicators, May 2024, v. 162, 112000 | Abstract: | Climate change has significantly increased the risks associated with urban flooding. However, most research on flood risk assessment focuses on large-scale climate changes and impacts, leaving a research gap in the high spatial resolution of flood risk assessment in inter-urban areas. This gap makes it difficult to guide regional planning for the government. Therefore, this study aims to explore the risks of floods in ultra-high-density cities under climate change at the planning scale, using Hong Kong as a case study. We comprehensively assessed the flood risk index (FRI) in the built environment in 211 tertiary planning units (TPUs) from the three dimensions of vulnerability, exposure, and hazard from 2006 to 2021. We also employed a prediction model to forecast the spatial–temporal patterns of FRI in the next 5, 10, and 15 years and evaluated the uneven distribution of flood risks. The results show that the FRI of TPUs increased yearly, which poses higher threats to agglomerative areas of transportation and functional facilities. Additionally, future FRI will further impact coastal TPUs in western Hong Kong, resulting in more negative impacts on high-building areas. Therefore, urban planning should prioritize integrating flood management and risk mitigation measures. | Keywords: | Climate change High-density city Planning units Risk assessment Urban flood Urban vulnerability |
Publisher: | Elsevier BV | Journal: | Ecological indicators | ISSN: | 1470-160X | EISSN: | 1872-7034 | DOI: | 10.1016/j.ecolind.2024.112000 | Rights: | © 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/bync/4.0/). The following publication Gu, X., & Liu, X. (2024). Planning scale flood risk assessment and prediction in ultra-high density urban environments: The case of Hong Kong. Ecological Indicators, 162, 112000 is available at https://doi.org/10.1016/j.ecolind.2024.112000. |
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