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2016年长三角城市群O3浓度的时空变化规律
引用本文:黄小刚,赵景波.2016年长三角城市群O3浓度的时空变化规律[J].中国环境科学,2018,38(10):3611-3620.
作者姓名:黄小刚  赵景波
作者单位:1. 陕西师范大学地理科学与旅游学院, 陕西 西安 710119; 2. 山西师范大学地理科学学院, 山西 临汾 041004; 3. 陕西师范大学地理学国家级实验教学示范中心, 陕西 西安 710119
基金项目:中国科学院气溶胶化学与物理重点实验室项目(KLACP-2018-01);国家自然科学基金国际合作重大项目(41210002)
摘    要:基于2016年长三角城市群40个城市的监测数据,利用空间内插、空间自相关分析、热点分析等地统计分析方法,研究了2016年长三角城市群O3浓度的时空变化规律.结果表明:2016年长三角城市群O3平均超标天数比例为8.8%,O3已成为造成长三角城市群空气污染的仅次于PM2.5的重要污染物;夏、春、秋、冬季O3浓度依次递减,由于梅雨的影响,O3月均浓度变化曲线呈M型分布,2个峰值出现在5月和8月,谷值出现在6月;O3超标主要发生在4~9月,超标天数占全年的98.1%,月均超标天数比例为17.3%;O3浓度具有明显的空间分异规律,大体呈东北高西南低的态势,过杭州和马鞍山的直线可将长三角城市群O3浓度划分为高值区和低值区,杭州-马鞍山线以东是O3高污染城市聚集区,尤以环太湖经济圈最为严重.O3浓度的空间分布格局与长三角城市群经济发展格局大体一致;O3浓度具有空间集聚规律,4~7月O3热点集中分布在环太湖经济圈至上海区域,受东南季风加强的影响,8~9月热点西移至以南京为中心的区域.

关 键 词:O3  时空变化  空间自相关  热点  长三角城市群  
收稿时间:2018-03-27

Spatial-temporal variation of ozone in Yangtze River Delta urban agglomeration in 2016
HUANG Xiao-gang,ZHAO Jing-bo.Spatial-temporal variation of ozone in Yangtze River Delta urban agglomeration in 2016[J].China Environmental Science,2018,38(10):3611-3620.
Authors:HUANG Xiao-gang  ZHAO Jing-bo
Institution:1. School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China; 2. School of Geographical Sciences, Shanxi Normal University, Linfen 041004, China; 3. National Demonstration Center for Experimental Geography Education, Shaanxi Normal University, Xian 710119, China
Abstract:Based on the air quality monitoring data collected in 40 cities in Yangtze River Delta urban agglomeration in 2016, this study presents the spatial-temporal variation of O3 concentration in Yangtze River Delta urban agglomeration in 2016 via spatial interpolation, spatial autocorrelation analysis, and hotspot analysis. It shows that:1) with an average O3 non-attainment rate of 8.8percent, O3 has become the second major source of pollutants following PM2.5; 2) the O3 concentration is decreasing from summer, spring, autumn to winter, the monthly changing of O3 concentration follows a pattern of "M", with two peaks in May and August respectively, and a valley in June due to the interruption of the plum rain season; 3) the O3 non-attainment mainly occurs from April to September, which contributes 98.1% to the O3 non-attainment days during the whole year with an average monthly rate of 17.3%; 4) the O3 concentration shows an a general decrease trend from the northeast to southwest, and the line connecting Hangzhou and Ma'anshan highlights the difference between the highly polluted area in the eastern side of the line, and the less polluted area in the western side of the line. The cities around the Taihu Lake suffer from severest pollution. In geologically speaking, the spatial distribution of O3 is approximately in accord with that of the economic development levels of Yangtze River Delta urban agglomeration; 5) the O3 concentration follows the spatial agglomeration law. Owing to the impact of southeast monsoon, the hotspots of O3 are primarily distributed in the eastern part of the Lake Cities from April to July, and later, move westward to Nanjing and its adjacent areas from August to September.
Keywords:O3  spatial-temporal variation  spatial autocorrelation  hotspot  Yangtze River Delta urban agglomeration  
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