燃煤控制对北京市空气质量的改善分析

Impact on Air Quality of Beijing City by Controlling the Consumption of Coal-Fired

  • 摘要:

    根据清洁空气行动计划,北京市将继续调整能源结构,新建天然气热电中心替代燃煤发电,并且进行工业锅炉煤改气、居民供暖煤改电、远郊区炊事用气改造等措施,以减少煤炭的使用量. 采用自下而上的排放因子法,估算减少燃煤所产生大气污染物(TSP、PM10、一次PM2.5、SO2、NOx及VOC)的减排量,并利用ADMS-Urban模型模拟其对环境空气质量的改善. 结果表明:①2015年北京市煤炭控制在1500×104t以内,测算的煤炭减量为863.38×104t,TSP、PM10、一次PM2.5、SO2、NOx和VOC的减排量分别为2580.17、2032.94、1183.53、6265.30、7220.90和1058.44t. ②各污染物减排空间分布基本一致,主要集中在城市功能拓展区,包括石景山、朝阳区、海淀区和丰台区等,上述区域对TSP、PM10、一次PM2.5、SO2、NOx和VOC削减贡献分别达到78.3%、81.5%、82.7%、85.2%、83.0%和49.9%. ③ADMS-Urban模型模拟结果表明,减少燃煤可使环境空气中ρ(TSP)、ρ(PM10)、ρ(一次PM2.5)、ρ(SO2)、ρ(NOx)和ρ(VOC)分别降低0.55~12.74、0.44~10.78、0.27~6.77、0.78~17.31、1.67~43.48和0.17~12.07μg/m3.

     

    Abstract:

    According to the clean air action plan, Beijing will further take measures to adjust the energy structure including new natural gas-fired central substitute coal-fired power, industrial boilers from coal to gas, coal to electricity resident heating, cooking gas transformation suburban area. The environmental benefits for the measures of controlling the consumption of coal-fired were estimated in this study. The reduction emission of primary air pollutants (e.g., TSP, PM10, primary PM2.5, SO2, NOx and VOC) by controlling the consumption of coal-fired were estimated by using the bottom-up emission factor method and the best available emission factors. Subsequently, the ADMS-Urban model was further used to simulate the impact on air quality. The results showed that:(1) The decreasing amount of coal was 863.38×104t, while the decreasing emission of primary air pollutants, TSP, PM10, primary PM2.5, SO2, NOx and VOC, were estimated for 2580.17,2.94,3.53,5.30,0.90and 1058.44t, respectively. (2) The spatial of decreasing emission of primary pollutants were rather consistent, mainly distributed on the region of urban function extension, including Shijingshan district, Chaoyang district, Haidian district, which contributed 78.3%,81.5%,82.7%,85.2%,83.0% and 49.9% of total decreasing emission of TSP, PM10, primary PM2.5, SO2, NOx and VOC, respectively. (3) The ADMS-Urban simulation result showed that the air concentration of TSP, PM10, primary PM2.5, SO2, NOx and VOC could reduce 0.55-12.74,0.44-10.78,0.27-6.77,0.78-17.31,1.67-43.48and 0.17-12.07μg/m3, respectively.

     

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