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A Study on the Model for Heating Influence on PM_(2.5) Emission in Beijing, China

机译:北京供热对PM_(2.5)排放影响的模型研究

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摘要

PM_(2.5) concentration in Beijing China has become a focus for government and common people. In this paper, the author, taking PM_(2.5) in Beijing as research object, establishes a model of heating influence on PM_(2.5) emission. Data about the city's boiler number, distribution, fuel consumption as well as rural fuel consumption have been obtained through questionnaire. With the adoption of coefficients for producing and emitting pollutants, influence of heating factors in Beijing on PM_(2.5) concentration is evaluated quantitatively. High accuracy of the model in the paper has been proved through comparison with data of 2014 Beijing PM_(2.5) concentration monitored by Chinese Ministry of Environmental Protection. According to evaluation result 10.9, heating contributes to 13.7% of PM_(2.5) emission in Beijing, 9.9% and 3.8% from the six urban districts and rural areas respectively. It has been suggested that measures including decreasing heating temperature should be adopted to alleviate PM_(2.5) pollutions in Beijing.
机译:PM_(2.5)在北京的集中已经成为政府和普通百姓关注的焦点。本文以北京的PM_(2.5)为研究对象,建立了加热对PM_(2.5)排放的影响模型。通过问卷调查获得了有关城市锅炉数量,分布,燃料消耗以及农村燃料消耗的数据。通过采用污染物的产生和排放系数,定量评估了北京的加热因子对PM_(2.5)浓度的影响。通过与中国环保部监测的2014年北京PM_(2.5)浓度数据的比较,证明了该模型的准确性。根据评估结果10.9,供暖占北京PM_(2.5)排放的13.7%,分别来自六个市区和农村的9.9%和3.8%。有人建议应采取降低供暖温度等措施来减轻北京的PM_(2.5)污染。

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