Zhenyan She , Zhiyong Liu , Huayang Cai , Liyan Huang , Xin Lan , Tiewen Fu , Yu Yan
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引用次数: 0
Abstract
Coastal cities in China are confronting increasingly severe flood risks, which lead to significant losses of life and property. Here, this study estimate the population exposure to flooding under compounding impacts of climate variation and urban expansion over 1985–2014 and 2021–2100. It finds that the population exposure to flooding is expected to increase by approximately 1.2–4.7 times under such compound impacts. Under the most severe greenhouse gas emission scenario in the future, our projections show that most of China’s coastal provinces, except Shandong Province, will have the largest flood-exposed population. The future flood-exposed population is projected to increase by 2.0 times in Guangdong Province, and by 1.3 times in Liaoning Province compared to the historical period. Additionally, controlling urban expansion will reduce the future flood-exposed population, with the most significant reductions observed in eastern China like Zhejiang and Jiangsu provinces (by 36.2–86.5 %), followed by southern areas like Fujian and Hainan provinces (by 9.8–17.8 %). In contrast, intensified compound extreme heat and precipitation events increase the average flood-exposed population by 21–27 % in Guangdong, Liaoning, and Shandong provinces. Our findings could provide valuable insights to help develop sustainable flood mitigation measures for coastal cities confronting flood risks.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.