Assessment of Urban Adaptability to Climate Change in the Pearl River Delta Based on the PSR Model
DOI: 10.23977/erej.2023.070402 | Downloads: 13 | Views: 625
Author(s)
Yingyi Shi 1, Wenting Ye 1,2, Yueying Zhou 1
Affiliation(s)
1 School of Resources and Planning, Guangzhou Xinhua University, Guangzhou, 510520, China
2 Tuolian Subdistrict Office in Jinping District, Shantou, 515021, China
Corresponding Author
Yueying ZhouABSTRACT
This study used the nine cities in the Pearl River Delta as research objects, established an assessment indicator system based on the PSR model, and assessed the climate change adaptability of these cities from 2000 to 2020 using the multi-level grey correlation analysis method. The climate change adaptability of these cities was classified into three levels: Level I, Level II, and Level III, representing the low, medium, and high levels, respectively. From 2000 to 2020, the comprehensive climate change adaptability of the nine cities was at Level II, and has steadily improved due to investments in economic development, technological support, and risk management. Notably, cities with high-level adaptabilities at Level III include Guangzhou, Shenzhen, Zhuhai, and Foshan, whereas cities with medium-level adaptabilities at Level II include Huizhou, Dongguan, and Jiangmen. In contrast, cities with low-level adaptabilities at Level I include Zhaoqing and Zhongshan. Further, it is important to note that significant spatial differences exist in the adaptabilities of these cities, with the greatest disparities found in social development, technological support, and risk management. Finally, based on the various city levels, suggestions for constructing climate resilient cities are presented.
KEYWORDS
Adaptability to climate change, climate resilient city, the Pearl River Dalta, PSR modelCITE THIS PAPER
Yingyi Shi, Wenting Ye, Yueying Zhou, Assessment of Urban Adaptability to Climate Change in the Pearl River Delta Based on the PSR Model. Environment, Resource and Ecology Journal (2023) Vol. 7: 15-25. DOI: http://dx.doi.org/10.23977/erej.2023.070402.
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