Chung Wengin, Liu Chao
College of Architecture and Urban Planning, Tongji University, Wenyuan Bulding, NO.1239 Siping Road, Yangpu District, Shanghai, China.
Shanghai Tongji Urban Planning and Design Institute Co. Ltd., Tongji Planning Building, 39 Guokang Road, Yangpu District, Shanghai, China.
Heliyon. 2024 Dec 31;11(2):e41616. doi: 10.1016/j.heliyon.2024.e41616. eCollection 2025 Jan 30.
Many countries are confronted with the dual challenge of mitigating CO emissions and controlling PM pollution, attributed to the impacts of global climate change. This study explores the spatio-temporal pattern of the coupling effect between CO emissions and PM pollution by conducting a case study of the Yangtze River Delta (YRD) region of China and aims to identify the urban influencing factors that contribute to this coupling effect. Utilizing a coupled coordination model, this study conducted a spatio-temporal analysis of CO emissions and PM concentrations from 2008 to 2020.The model assessed the year-by-year coupling coordination degrees of CO and PM emissions in each of the five provinces in the YRD region. This study's three main findings are the following: (1) The overall coupling coordination between CO and PM emissions exhibited a declining trend from 2013 to 2017, followed by a rebound in 2018. Most cities experienced their highest degree of coupling in 2020. (2) Of 41 cities in the YRD region, only 10 have achieved a state of coordinated development. This finding suggests that approximately 24 % of the YRD region attained a positive degree of coordination. (3) The megacity Shanghai has achieved a stage characterized by high-quality coordination, emphasizing the city's significant role in mitigating CO emissions and managing PM pollution in the region. In addition, the analysis of urban influencing factors revealed a significant correlation between several key urban factors, including land area, green space and water area, road network, technical development, and industrial structure. This study recommends that cities aiming to reduce CO emissions and control PM pollution consider initiatives that address the coupling effect, such as optimizing industrial land use and prioritizing spatial planning strategies. The selection of the YRD region as the study area provides an exemplary model that offers implications not only for other regions in China but also for other countries that face similar issues.
由于全球气候变化的影响，许多国家面临着减少碳排放和控制颗粒物污染的双重挑战。本研究以中国长江三角洲地区为例，探讨了碳排放与颗粒物污染耦合效应的时空格局，旨在确定导致这种耦合效应的城市影响因素。本研究利用耦合协调模型，对2008年至2020年的碳排放和颗粒物浓度进行了时空分析。该模型评估了长三角地区五个省份中每个省份碳排放与颗粒物排放逐年的耦合协调度。本研究的三个主要发现如下：（1）碳排放与颗粒物排放之间的总体耦合协调度在2013年至2017年呈下降趋势，随后在2018年出现反弹。大多数城市在2020年达到了最高耦合度。（2）在长三角地区的41个城市中，只有10个实现了协调发展状态。这一发现表明，长三角地区约24%的区域达到了正向协调度。（3）特大城市上海已进入高质量协调阶段，凸显了该市在该地区减少碳排放和管理颗粒物污染方面的重要作用。此外，对城市影响因素的分析揭示了几个关键城市因素之间的显著相关性，包括土地面积、绿地和水域、道路网络、技术发展和产业结构。本研究建议，旨在减少碳排放和控制颗粒物污染的城市应考虑采取应对耦合效应的举措，如优化工业用地利用和优先考虑空间规划策略。选择长三角地区作为研究区域提供了一个典范模式，不仅对中国其他地区有启示意义，也对面临类似问题的其他国家有启示意义。
