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昆明市空气质量的影响因素研究分析及建议
Research Analysis and Suggestions on the Influencing Factors of Air Quality in Kunming

DOI: 10.12677/SA.2022.114100, PP. 967-977

Keywords: 空气质量指数,向后法,异方差性检验,建议
Air Quality Index
, Backward Method, Heteroskedasticity Test, Suggestion

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Abstract:

以昆明市作为云南省空气质量的重点研究对象,采用多元线性回归对其空气质量进行影响因素和预测分析。结果表明:昆明市的首要污染物为臭氧和颗粒物,臭氧的含量持续上升,成为影响空气质量的重要因素。建议推进产业结构调整,实施减排工作。昆明市的空气质量呈周期性波动,空气质量会在春季和冬季持续上升,夏季和秋季持续下降,并在季节交替之时产生极值。为进一步提升空气质量,需要根据不同季节制定相应措施。
Taking Kunming City as the key research object of air quality in Yunnan Province, multiple linear regression was used to analyze the influencing factors and forecasting of its air quality. The results show that the primary pollutants in Kunming are ozone and particulate matter, and the content of ozone continues to rise, becoming an important factor affecting air quality. It is recommended to promote industrial restructuring and implement emission reduction work. The air quality in Kunming fluctuates cyclically. The air quality will continue to rise in spring and winter, and continue to decline in summer and autumn, and it will produce extreme values when the seasons change. In order to further improve air quality, corresponding measures need to be formulated according to different seasons.

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