Abst'/> 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
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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

机译：基于长期大量污染物浓度数据挖掘的中国京津冀地区空气污染联合防控机制

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AbstractChina'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.Graphical abstractBJ and the 9 cities i.e. LF, TJ, BD, TS, CZ, HS, SJZ, XT, HD, the latitude of which is lower than that of BJ, are the key cities in JPCAP oriented to the two pollutants in BTH region in China. For JPCAP oriented to PM2.5and PM10, the key JPCAP regions and corresponding pollution control grades are consistent. These results provide a scientific basis for formulating long-term, stable, and unified JPCAP strategies for the BTH region and implementation of JPCAP measures that focus on the specific problems of each region.Display OmittedHighlights•The variation of PM2.5and PM10in the study area was similar in all four seasons.•PM2.5produced regional, large-scale, and concentrated pollution.•PM10produced local, small-scale, and multi-place pollution.•We identified the key JPCAP regions and corresponding pollution control grades.•The JPCAP regions and control grades were consistent for PM2.5and PM10.
机译： 摘要 中国的北京-天津-河北（BTH）地区遭受着中国最严重的空气污染之苦。这个问题引起了国内外的广泛关注。基于对PM 2.5 和PM 10 浓度的长期大规模数据挖掘，我们发现这些污染物在四个季节中表现出相似的变化，但最严重的污染是在冬季。通过对两种污染物的冬季日平均浓度（DAC）进行聚类分析，我们确定了冬季污染物浓度变化相似的区域。对于BTH污染最严重的城市，冬季DAC的相关系数与城市之间的距离之间的关系表明PM 2.5 具有区域性，大规模特征，具有集中爆发，而PM 10 具有局部的小规模特征，在多个位置都有爆发。通过选择每个城市的污染物DAC与BTH地区每日个人空气质量指数值之间线性关系最强的重点城市，并通过对重点城市污染物DAC之间的相关性进行聚类分析，我们确定了适合的区域划分共同预防和控制大气污染（JPCAP）计划，以控制PM 2.5 和PM 10 。综合考虑区域大气污染控制（RAPC）对BTH空气质量的影响程度以及RAPC的弹性和紧迫性，我们定义了JPCAP地区的控制等级。我们发现PM 2.5 和PM 10 的区域和相应的控制等级都一致。我们提出的控制大气污染的思想和方法对于在世界其他地区实施RAPC具有广泛的意义。 图形摘要 北京和纬度低于北京的9个城市，即LF，TJ，BD，TS，CZ，HS，SJZ，XT，HD JPCAP中的主要城市都针对中国BTH地区的两种污染物。对于面向PM 2.5 和PM 10 的JPCAP，关键的JPCAP区域和相应的污染控制成绩是一致的。这些结果为制定针对BTH地区的长期，稳定和统一的JPCAP战略以及实施针对每个区域特定问题的JPCAP措施提供了科学依据。 省略显示 突出显示 • The在所有四个季节中，研究区域中PM 2.5 和PM 10 的变化在所有四个季节中都相似。 • PM 2.5 产生了区域性，大规模和集中性污染。 • PM 10 造成了局部，小规模和多地点污染。< / ce：para> • 我们确定了关键的JPCAP区域和相应的污染控制等级。 • 对于PM 2.5 和PM ，JPCAP区域和对照等级是一致的loc =“ post”> 10 。

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