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首页> 外文期刊>Journal of Cleaner Production >Correlating PM2.5 concentrations with air pollutant emissions: A longitudinal study of the Beijing-Tianjin-Hebei region
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Correlating PM2.5 concentrations with air pollutant emissions: A longitudinal study of the Beijing-Tianjin-Hebei region

机译：将PM2.5浓度与空气污染物排放相关联：京津冀地区的纵向研究

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Severe outdoor haze pollution has brought about associated public health impacts for China in recent years. Haze pollution therefore has become one of the most serious environmental problems in China. To alleviate this, the government issued its National Air Pollution Control NACAP (NAPCAP) in 2013 containing pollution reduction targets for 2017 and beyond. However, there are doubts whether these targets can be achieved. This paper examines this issue by modeling the statistical relationship between PM2.5 concentration and air pollutant emissions (SO2, NOx, etc.), together with wind and neighboring transfer impacts at the city level, to identify ways of calculating intended maximum emission levels in the Beijing-Tianjin-Hebei area. The results indicate that local air pollutant emissions, lagged PM2.5 concentrations, wind speed, and PM2.5 concentrations in adjacent areas have a significant impact on PM2.5 concentrations in the Beijing-Tianjin-Hebei area. The 2017 haze concentration control targets could not be achieved through the current NAPCAP plan, with PM2.5 concentration levels in many locations being predicted as between two and three times those targeted. However, the 2017 concentration target can be fulfilled given the pollutant reduction rates of NAPCAP plus Enhanced Measures of Air Pollution Control for Beijing-Tianjin-Hebei region (EMAPC) under the same wind conditions as 2016. There are large deviations between the simulation and monitor values of PM2.5 concentration when it is less windy, and the simulation value of most cities are generally lower than the monitor values. The unsuccessful implementation of pollutant reduction measures and inaccuracy of the monitor data are two possible reasons to explain the relatively large deviations involved. Finally, some preliminary institutional causes of haze pollution and solutions for its control in the Beijing-Tianjin-Hebei area are discussed. (C) 2018 Elsevier Ltd. All rights reserved.
机译：近年来，严重的室外雾霾污染对中国造成了相关的公共卫生影响。因此，雾霾污染已成为中国最严重的环境问题之一。为了缓解这种情况，政府于2013年发布了国家空气污染控制NACAP（NAPCAP），其中包含2017年及以后的减排目标。但是，人们怀疑是否可以实现这些目标。本文通过对PM2.5浓度与空气污染物排放（SO2，NOx等）之间的统计关系进行建模，以及城市一级的风和邻近转移影响，来研究此问题，从而确定计算预期最大排放水平的方法。京津冀地区。结果表明，北京-天津-河北地区局部空气污染物排放，滞后的PM2.5浓度，风速和PM2.5浓度对PM2.5浓度有显着影响。当前的NAPCAP计划无法实现2017年雾霾浓度控制目标，许多地方的PM2.5浓度水平被预测为目标浓度的2至3倍。但是，在与2016年相同的风况下，考虑到NAPCAP的污染物减少率加上《京津冀地区大气污染控制强化措施》（EMAPC），可以实现2017年的浓度目标。模拟和监测之间存在较大偏差少风时的PM2.5浓度值，大多数城市的模拟值通常低于监测值。减少污染措施的执行不成功和监测数据的不准确是解释所涉及的较大偏差的两个可能原因。最后，讨论了京津冀地区烟霾污染的初步制度性成因及防治措施。 （C）2018 Elsevier Ltd.保留所有权利。

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