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Predicted impact of thermal power generation emission control measures in the Beijing-Tianjin-Hebei region on air pollution over Beijing China

机译:京津冀地区火力发电排放控制措施对北京地区空气污染的预计影响

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摘要

Widespread economic growth in China has led to increasing episodes of severe air pollution, especially in major urban areas. Thermal power plants represent a particularly important class of emissions. Here we present an evaluation of the predicted effectiveness of a series of recently proposed thermal power plant emission controls in the Beijing-Tianjin-Hebei (BTH) region on air quality over Beijing using the Community Multiscale Air Quality(CMAQ) atmospheric chemical transport model to predict CO, SO2, NO2, PM2.5, and PM10 levels. A baseline simulation of the hypothetical removal of all thermal power plants in the BTH region is predicted to lead to 38%, 23%, 23%, 24%, and 24% reductions in current annual mean levels of CO, SO2, NO2, PM2.5, and PM10 in Beijing, respectively. Similar percentage reductions are predicted in the major cities in the BTH region. Simulations of the air quality impact of six proposed thermal power plant emission reduction strategies over the BTH region provide an estimate of the potential improvement in air quality in the Beijing metropolitan area, as a function of the time of year.
机译:中国广泛的经济增长导致严重的空气污染事件增加,特别是在主要城市地区。火力发电厂是一类特别重要的排放物。在这里,我们使用社区多尺度空气质量(CMAQ)大气化学迁移模型对北京-天津-河北(BTH)地区最近提出的一系列热电厂排放控制对北京空气质量的预测有效性进行评估。预测CO,SO2,NO2,PM2.5和PM10的水平。假设对BTH地区所有火力发电厂的假设去除进行基线模拟,预计将导致目前的CO,SO2,NO2,PM2年均水平降低38%,23%,23%,24%和24% .5和北京的PM10。在BTH地区的主要城市,预计会有类似的百分比下降。对BTH地区六种拟议火力发电厂减排策略对空气质量的影响进行的模拟提供了北京大都市地区空气质量潜在改善的估计值,该函数是一年中的函数。

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