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Impact of biomass burning and its control on participate matter over a city in mainland Southeast Asia during a smog episode

机译:烟雾事件中生物质燃烧及其对东南亚某城市参与物质的控制

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Cities in mainland Southeast Asia have long faced smog problems. Developing effective control strategies for smog reduction has been a challenge for academics and policy makers. In this study, emission control measures were assessed using both the Weather Research and Forecasting (WRF) and Community Multi-scale Air Quality (CMAQ) modeling systems during a smog episode between 1st and 31st of March 2012. The study found that there was a strong impact from biomass burning outside of the city on PM concentrations within the city, with contributions of approximately 85% and 89% for PM10 and PM2.5 respectively. Control of biomass burning in the city significantly affects local PM concentrations. This study investigated the success of biomass burning control inside the city when no biomass is burned outside of the city. The control scenarios focused on specific reduction levels in biomass burning emissions, which included 0%, 20%, 40%, 60%, 80% and 100%. The results yielded the following rates: the mean PM2.5 concentrations decreased by 0.70% per %decrease of biomass burning emission; the maximum daily average PM2.5 concentrations decreased by 0.84% per %decrease of biomass burning emission; and the average percentage of PM2.5 concentrations that exceeded the NAAQS decreased by 1.05% per %decrease of biomass burning emission. This information provide good guidelines for successful decision-making at each control level to solve the problems related to of smog in cities. However, smog problems cannot only be solved by emission control measures in the city; biomass burning must also be reduced on a regional scale.
机译:东南亚大陆的城市长期以来面临着烟雾问题。制定减少烟雾的有效控制策略一直是学者和政策制定者的挑战。在这项研究中,在2012年3月1日至31日的烟雾事件中,使用了天气研究与预报(WRF)和社区多尺度空气质量(CMAQ)建模系统对排放控制措施进行了评估。研究发现城市外生物质燃烧对城市内PM浓度的强烈影响,对PM10和PM2.5的贡献分别约为85%和89%。控制城市中的生物质燃烧会显着影响当地的PM浓度。这项研究调查了在城市以外没有生物质燃烧的情况下控制城市内部生物质燃烧的成功性。控制方案的重点是降低生物质燃烧排放的特定水平,包括0%,20%,40%,60%,80%和100%。结果得出以下比率:平均PM2.5浓度每降低生物量燃烧排放量的百分比降低0.70%;每%生物量燃烧排放量的减少,最大每日平均PM2.5浓度降低0.84%;超过NAAQS的PM2.5浓度的平均百分比每降低生物量燃烧排放量的百分比就降低1.05%。这些信息为在各个控制级别成功决策提供了良好的指导,以解决与城市烟雾有关的问题。但是,烟雾问题不能仅通过城市的排放控制措施解决。还必须在区域范围内减少生物质燃烧。

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