【摘要】 山西是我国的能源大省,同时也是空气污染较为严重的省份。为深入地分析山西省空气质量,继而给空气污染治理提供可靠的决策依据,本文采用空间自相关分析法、热点分析法、灰色关联分析法等方法对2014-2017年全省11个地市的空气质量时空分布特征及影响因素进行研究。结果表明:1.2014-2017年期间,山西省空气质量达标天数呈先增后减的趋势,高纬度地区空气质量优于中低纬度,两侧经度区域优于中间。2.2014-2016年空气质量空间聚集性较弱且不显著,2017年显著空间正相关,空间格局呈现从北到南为热点聚集、随机分布、冷点聚集的三层分布。3.山西省空气质量主要影响因素为第二产业占比和发电量。更多还原

【Abstract】 Shanxi is a major energy province in China, but also a province with serious air pollution. In order to deeply analyze the air quality in Shanxi Province and then provide reliable decision-making basis for air pollution control, this paper uses spatial autocorrelation analysis, hot spot analysis and grey correlation analysis to study the Spatiotemporal distribution characteristics and influencing factors of air quality in 11 cities of Shanxi Province from 2014 to 2017. The results showed that: 1. From 2014 to 2017, the air quality of Shanxi Province increased first and then decreased. The air quality in high latitudes was better than that in middle and low latitudes, and the longitude areas on border sides are better than that in the middle. 2. From 2014 to 2016, the spatial aggregation of air quality was weak and not significant. In 2017, there was a significant positive spatial correlation. The spatial pattern showed three layers of hot spot aggregation, random distribution and cold point aggregation from north to south. 3. The main influencing factors of air quality in Shanxi Province were the proportion of secondary industry and power generation.更多还原