Li Xiaoju, Abdullah Luqman Chuah, Sobri Shafreeza, Md Said Mohamad Syazarudin, Hussain Siti Aslina, Aun Tan Poh, Hu Jinzhao
Department of Chemical and Environmental Engineering, Faculty of Engineering, University Putra Malaysia, 43400 UPM Serdang, Selangor Malaysia.
Xichang University, No. 1 Xuefu Road, Anning Town, Xichang City, 615000 Sichuan Province China.
Water Air Soil Pollut. 2023;234(5):328. doi: 10.1007/s11270-023-06279-8. Epub 2023 May 12.
Currently, air quality has become central to global environmental policymaking. As a typical mountain megacity in the Cheng-Yu region, the air pollution in Chongqing is unique and sensitive. This study aims to comprehensively investigate the long-term annual, seasonal, and monthly variation characteristics of six major pollutants and seven meteorological parameters. The emission distribution of major pollutants is also discussed. The relationship between pollutants and the multi-scale meteorological conditions was explored. The results indicate that particulate matter (PM), SO and NO showed a "U-shaped" variation, while O showed an "inverted U-shaped" seasonal variation. Industrial emissions accounted for 81.84%, 58% and 80.10% of the total SO, NOx and dust pollution emissions, respectively. The correlation between PM2.5 and PM10 was strong ( = 0.98). In addition, PM only showed a significant negative correlation with O. On the contrary, PM showed a significant positive correlation with other gaseous pollutants (SO, NO, CO). O is only negatively correlated with relative humidity and atmospheric pressure. These findings provide an accurate and effective countermeasure for the coordinated management of air pollution in Cheng-Yu region and the formulation of the regional carbon peaking roadmap. Furthermore, it can improve the prediction accuracy of air pollution under multi-scale meteorological factors, promote effective emission reduction paths and policies in the region, and provide references for related epidemiological research.
The online version contains supplementary material available at 10.1007/s11270-023-06279-8.
目前，空气质量已成为全球环境政策制定的核心。作为成渝地区典型的山地大城市，重庆的空气污染具有独特性和敏感性。本研究旨在全面调查六种主要污染物和七个气象参数的长期年度、季节和月度变化特征。还讨论了主要污染物的排放分布。探讨了污染物与多尺度气象条件之间的关系。结果表明，颗粒物（PM）、二氧化硫（SO）和氮氧化物（NO）呈现“U形”变化，而臭氧（O）呈现“倒U形”季节变化。工业排放分别占二氧化硫、氮氧化物和粉尘污染排放总量的81.84%、58%和80.10%。细颗粒物（PM2.5）和可吸入颗粒物（PM10）之间的相关性很强（r = 0.98）。此外，PM仅与臭氧呈现显著负相关。相反，PM与其他气态污染物（SO、NO、一氧化碳（CO））呈现显著正相关。臭氧仅与相对湿度和大气压力呈负相关。这些发现为成渝地区空气污染的协同治理和区域碳达峰路线图的制定提供了准确有效的对策。此外，它可以提高多尺度气象因素下空气污染的预测准确性，推动该地区有效的减排路径和政策，并为相关流行病学研究提供参考。
在线版本包含可在10.1007/sl1270 - 023 - 06279 - 8获取的补充材料。
