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2001—2022年珠江三角洲城市群热脆弱性的时空演变特征及影响因素

Spatial and temporal evolution characteristics and factors of heat vulnerability in the Pearl River Delta urban agglomeration from 2001 to 2022.

作者信息

Wang Jiangbo, Li Yishu, Liu Wei, Gou Aiping

机构信息

College of Architecture, Nanjing Tech University, Nanjing, 211816, China.

Jiangsu Provincial Planning and Design Group, Nanjing, 210019, China.

出版信息

Heliyon. 2024 Jul 4;10(13):e34116. doi: 10.1016/j.heliyon.2024.e34116. eCollection 2024 Jul 15.

Abstract

To explore the spatiotemporal evolution characteristics of heat vulnerability in the Pearl River Delta urban agglomeration during heatwave disasters, this research employs the Entropy Weight Method (EWM) to calculate the heat vulnerability assessment results for nine cities in the region spanning from 2001 to 2022. Through the application of kernel density estimation, Moran's I, and the Geographically and Temporally Weighted Regression (GTWR) model, which is proven to be superior to traditional model such as OLS, this study analyzes the dynamic distribution patterns of heat vulnerability in the study area and dissect the trends of influencing factors. The results reveal that from 2001 to 2022, the overall heat vulnerability index in the study area demonstrates a fluctuating downward trend. Key contributors to heat vulnerability include high-frequency and long-duration heatwaves, population sensitivity, and changes in residents' consumption levels. Throughout this period of development, the disparity in heat vulnerability among cities has gradually widened, indicating an overall pattern of uneven development in the region. Future attention should be focused on formulating heat adaptation strategies in areas with high vulnerability to enhance the overall sustainability of the study area.

摘要

为探究珠江三角洲城市群在热浪灾害期间热脆弱性的时空演变特征,本研究采用熵权法(EWM)计算了该地区2001年至2022年九个城市的热脆弱性评估结果。通过应用核密度估计、莫兰指数以及地理加权回归(GTWR)模型(该模型被证明优于诸如OLS等传统模型),本研究分析了研究区域内热脆弱性的动态分布模式,并剖析了影响因素的趋势。结果显示,2001年至2022年期间,研究区域内热脆弱性综合指数呈波动下降趋势。热脆弱性的主要影响因素包括高频和持续时间长的热浪、人口敏感性以及居民消费水平的变化。在这一发展过程中,各城市之间热脆弱性的差距逐渐扩大,表明该地区整体发展不均衡。未来应重点关注在高脆弱性地区制定热适应策略,以提高研究区域的整体可持续性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef2/11292507/2654fa937311/gr1.jpg

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