Spatial-temporal dynamics of population exposure to compound extreme heat-precipitation events under multiple scenarios for Pearl River Basin, China

IF 4 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Zixuan Qi , Lian Sun , Yanpeng Cai , Yulei Xie , Linlin Yao , Bowen Li , Yuchen Ye
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Abstract

Extreme heat-precipitation events, such as heatwaves and extreme precipitation, can have substantial impacts on the population, particularly in urbanized watersheds. However, few studies have investigated individual and compound extreme heat-precipitation events, causing much valuable information loss for watershed climate risk management. This study focuses on the Pearl River Basin (PRB), a highly urbanized area in southern China, and aims to predict changes in population exposure to extreme heat-precipitation events. To achieve this, a ranked ensemble global climate model (GCM) was used to generate projections for individual extreme precipitation, heatwaves, and sequential and coincident heat waves and precipitation extremes (SHWPs and CHWPs) under three future scenarios (SSP-RCPs). The main findings of the study are as follows: Precipitation extremes represent increasing extreme days and intensity under all three scenarios across the PRB. Towards the end of the 21st century, the SSP5-8.5 scenario predicts that heat waves will last ten times longer than historical records. Comparing two types of compound extreme events, we conclude that the 21st century will see a near-term high risk for SHWPs and a long-term high risk for CHWPs in the PRB. Furthermore, in both individual and compound heat-precipitation events, five hotspot cities in the PRB (i.e., Guangzhou, Dongguan, Foshan, Shenzhen, and Huizhou) will face higher population exposure to extreme heat-precipitation events. These cities share common characteristics: key to economic development, coastal, and densely populated. This study can provide insight into extreme climate risk management in other tropical and subtropical basins.

Abstract Image

多种情景下中国珠江流域人口受极端高温-降水复合事件影响的时空动态变化
极端高温降水事件,如热浪和极端降水,会对人口产生重大影响,尤其是在城市化流域。然而,很少有研究对单个极端降温事件和复合极端降温事件进行调查,这导致流域气候风险管理中许多有价值的信息丢失。本研究以中国南方高度城市化地区珠江流域为研究对象,旨在预测极端高温降水事件对人口影响的变化。为此,研究人员使用了一个等级集合全球气候模式(GCM),对三种未来情景(SSP-RCPs)下的单个极端降水、热浪以及连续和重合的热浪和极端降水(SHWPs 和 CHWPs)进行了预测。研究的主要发现如下:在所有三种情景下,珠江三角洲地区的极端降水日数和强度都在增加。到 21 世纪末,SSP5-8.5 情景预测热浪持续时间将比历史记录长 10 倍。通过对两类复合极端事件的比较,我们得出结论,21 世纪珠江三角洲地区将出现近期的 SHWPs 高风险和长期的 CHWPs 高风险。此外,在单个降温事件和复合降温事件中,珠江三角洲地区的五个热点城市(即广州、东莞、佛山、深圳和惠州)将面临更高的人口极端降温事件风险。这些城市具有共同的特点:经济发展的重点城市、沿海城市和人口密集城市。这项研究可为其他热带和亚热带盆地的极端气候风险管理提供启示。
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来源期刊
Climate Services
Climate Services Multiple-
CiteScore
5.30
自引率
15.60%
发文量
62
期刊介绍: The journal Climate Services publishes research with a focus on science-based and user-specific climate information underpinning climate services, ultimately to assist society to adapt to climate change. Climate Services brings science and practice closer together. The journal addresses both researchers in the field of climate service research, and stakeholders and practitioners interested in or already applying climate services. It serves as a means of communication, dialogue and exchange between researchers and stakeholders. Climate services pioneers novel research areas that directly refer to how climate information can be applied in methodologies and tools for adaptation to climate change. It publishes best practice examples, case studies as well as theories, methods and data analysis with a clear connection to climate services. The focus of the published work is often multi-disciplinary, case-specific, tailored to specific sectors and strongly application-oriented. To offer a suitable outlet for such studies, Climate Services journal introduced a new section in the research article type. The research article contains a classical scientific part as well as a section with easily understandable practical implications for policy makers and practitioners. The journal''s focus is on the use and usability of climate information for adaptation purposes underpinning climate services.
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