山西省大气PM2.5污染时空分布特征
Spatial-temporal distribution and variation characteristics of PM2.5 in Shanxi
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摘要: 本文基于国家空气质量自动监测位点2015年3月到2016年2月全年的逐时监测数据,对山西省11个地级市PM2.5的污染状况与时空分布进行了详细研究.结果表明,山西省11个地级城市PM2.5年均浓度均超过了国家年均浓度的二级标准限值,其中,长治和运城污染最为严重,超标率均高达27.51%.PM2.5月均浓度变化特征分析发现,各地区PM2.5污染高峰主要出现在冬季,9个城市在夏季出现另一小高峰,太原在春季出现另一小高峰.PM2.5/PM10月均浓度变化特征分析发现,太原、大同、晋城、朔州、晋中和忻州等6个城市PM2.5/PM10的值从春季到冬季逐渐增长,临汾和运城该比值波动于50%—70%之间,阳泉和吕梁PM2.5/PM10的值在7月和11月出现两次高峰,长治则在7月和1月出现两次高峰,提示不同地区可能受到不同污染源的影响.PM2.5日变化规律总体较为一致,呈明显的双峰分布,其特征是中午和午夜高,凌晨和下午低.不同季节PM2.5的空间分布虽有很大差异,但总体上南部城市高于北部城市.局部自相关分析发现,山西省PM2.5污染的热点区域主要集中在运城.Abstract: Levels and spatial-temporal distribution of PM2.5 in the 11 cities were analyzed in this study, based on the monitoring data from the National Air Quality Automatic Monitoring Station from March 2015 to February 2016. The results showed that the annual average concentrations of PM2.5 in 11 prefecture-level cities all exceeded the Chinese Grade Ⅱ Standard value. Changzhi and Yuncheng were the most polluted cities, with 27.51% of the days exceeding the Grade Ⅱ daily PM2.5 limit. The monthly variation of PM2.5 concentration showed that the larger pollution peak in the whole year mainly occurred in winter, nine cities displayed the other pollution peak in summer, while Taiyuan had the other peak in spring. For PM2.5/PM10 ratio, the value gradually increased from spring to winter in six cities including Taiyuan, Datong, Jincheng, Shuozhou, Jinzhong and Xinzhou. This ratio in Linfen and Yuncheng fluctuated between 50% and 70%. The PM2.5/PM10 ratio in Yangquan and Lvliang peaked in July and November, respectively, while Changzhi showed two peaks in July and January. The different variation characteristics of PM2.5/PM10 ratio indicated that the cities were possibly influenced by different sources. The daily variation of PM2.5 was consistent for all the cities with a remarkable bimodal distribution, peaking at noon and midnight, and declining to the lowest level in the morning and afternoon. The spatial distribution of PM2.5 varied in different seasons, while the PM2.5 levels in southern cities were always higher than those of the northern cities. The local autocorrelation analysis found that the hot spot region of PM2.5 pollution in Shanxi Province was mainly concentrated in Yuncheng.
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Key words:
- Shanxi Province /
- PM2.5 /
- pollution levels /
- spatial-temporal characteristics /
- spatial autocorrelation
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