A joint prevention and control mechanism for air pollution in the Beijing-Tianjin-Hebei region in china based on long-term and massive data mining of pollutant concentration
A joint prevention and control mechanism for air pollution in the Beijing-Tianjin-Hebei region in china based on long-term and massive data mining of pollutant concentration
复制标题
基于污染物浓度长期海量数据挖掘的中国京津冀地区大气污染联防联控机制
DOI：
10.1016/j.atmosenv.2017.11.027
复制
发表时间：
2018-02
影响因子：
5
通讯作者：
Hongbo Wang;Laijun Zhao
中科院分区：
文献类型：
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作者：
Hongbo Wang;Laijun Zhao
中国京津冀（BTH）地区的空气污染是全国最严重的。这个问题在国内外引起了广泛关注。通过对pm2.5和pm10浓度的长期海量数据挖掘，我们发现这两种污染物在四季中表现出相似的变化，但冬季污染最为严重。通过对两种污染物冬季日平均浓度（DAC）的聚类分析，确定了两种污染物冬季浓度变化相似的区域。对于京北污染最严重的城市，冬季DAC相关系数与城市间距离的关系表明，pm2.5具有区域性、大尺度特征，集中暴发，而pm10具有地方性、小尺度特征，多地点暴发。通过选取各城市污染物DAC与北京市区每日单项空气质量指数值线性关系最强的重点城市，通过对重点城市污染物DAC相关性的聚类分析，确定大气污染联防联控（JPCAP）项目控制pm2.5和PM10的适宜区域划分。综合考虑区域大气污染控制（RAPC）对北京市区空气质量的影响程度，以及RAPC的弹性和紧迫性，确定了JPCAP区域的控制等级。我们发现pm2.5和PM10的区域和相应的控制等级是一致的。本文提出的大气污染控制思路和方法，将对世界其他地区实施大气污染控制具有广泛的指导意义。
China's Beijing-Tianjin-Hebei (BTH) region suffers from the country's worst air pollution. The problem has caused widespread concern both at home and abroad. Based on long-term and massive data mining of PM2.5and PM10concentration, we found that these pollutants showed similar variations in four seasons, but the most severe pollution was in winter. Through cluster analysis of the winter daily average concentration (DAC) of the two pollutants, we defined regions with similar variations in pollutant concentrations in winter. For the most polluted cities in BTH, the relationship between correlation coefficients for winter DAC and the distance between cities revealed that PM2.5has regional, large-scale characteristics, with concentrated outbreaks, whereas PM10has local, small-scale characteristics, with outbreaks at multiple locations. By selecting the key cities with the strongest linear relationship between the pollutant's DAC of each city and the daily individual air quality index values of the BTH region and through cluster analysis on the correlations between the pollutant DACs of the key cities, we defined regional divisions suitable for Joint Prevention and Control of Atmospheric Pollution (JPCAP) program to control PM2.5and PM10. Comprehensively considering the degree of influence of regional atmospheric pollution control (RAPC) on air quality in BTH, as well as the elasticity and urgency of RAPC, we defined the control grades of the JPCAP regions. We found both the regions and corresponding control grades were consistent for PM2.5and PM10. The thinking and methods of atmospheric pollution control we proposed will have broad significance for implementation of RAPC in other regions around the world.