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首页> 外文期刊>Journal of the air & waste management association >Resolving the interactions between population density and air pollution emissions controls in the San Joaquin Valley, USA
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Resolving the interactions between population density and air pollution emissions controls in the San Joaquin Valley, USA

机译:解决美国圣华金河谷人口密度与空气污染排放控制之间的相互作用

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摘要

The effectiveness of emissions control programs designed to reduce concentrations of airborne paniculate matter with an aerodynamic diameter <2.5 μm (PM_(2.5)) in California's San Joaquin Valley was studied in the year 2030 under three growth scenarios: low, medium, and high population density. Base-case inventories for each choice of population density were created using a coupled emissions modeling system that simultaneously considered interactions between land use and transportation, area source, and point source emissions. The ambient PM_(2.5) response to each combination of population density and emissions control was evaluated using a regional chemical transport model over a 3-week winter stagnation episode. Comparisons between scenarios were based on regional average and population-weighted PM_(2.5) concentrations. In the absence of any emissions control program, population-weighted concentrations of PM_(2.5) in the future San Joaquin Valley are lowest undergrowth scenarios that emphasize low population density. A complete ban on wood burning and a 90% reduction in emissions from food cooking operations and diesel engines must occur before medium- to high-density growth scenarios result in lower population-weighted concentrations of PM_(2.5) These trends partly reflect the fact that existing downtown urban cores that naturally act as anchor points for new high-density growth in the San Joaquin Valley are located close to major transportation corridors for goods movement. Adding growth buffers around transportation corridors had little impact in the current analysis, since the 8-km resolution of the chemical transport model already provided an artificial buffer around major emissions sources. Assuming that future emissions controls will greatly reduce or eliminate emissions from residential wood burning, food cooking, and diesel engines, the 2030 growth scenario using "as-planned" (medium) population density achieves the lowest population weighted average PM_(2.5) concentration in the future San Joaquin Valley during a severe winter stagnation event. Implications: The San Joaquin Valley is one of the most heavily polluted air basins in the United States that are projected to experience strong population growth in the coming decades. The best plan to improve air quality in the region combines medium- or high-density population growth with rigorous emissions controls. In the absences of controls, high-density growth leads to increased population exposure to PM_(2.5) compared with low-density growth scenarios (urban sprawl).
机译:在2030年,针对三种增长情景:低,中和高人口,研究了旨在降低空气动力学直径<2.5μm(PM_(2.5))的空气传播颗粒物浓度的排放控制计划在加利福尼亚州圣华金河谷的有效性密度。使用耦合排放模型系统创建了每种人口密度选择的基础案例清单,该系统同时考虑了土地利用与运输,区域源和点源排放之间的相互作用。使用区域化学迁移模型评估了三周冬季停滞期间对人口密度和排放控制的每种组合的环境PM_(2.5)响应。情景之间的比较是基于区域平均浓度和人口加权PM_(2.5)浓度。在没有任何排放控制计划的情况下,未来圣华金河谷的PM_(2.5)人口加权浓度是强调人口密度低的最低灌木丛生情况。在中到高密度增长情景导致较低的人群加权PM_(2.5)浓度之前,必须彻底禁止木材燃烧并减少90%的食物烹饪操作和柴油机排放。这些趋势部分反映了以下事实:现有的市中心城市核心地带自然是圣华金河谷新的高密度增长的定位点,靠近主要的货物运输运输走廊。在目前的分析中,在运输走廊周围增加增长缓冲影响不大,因为化学运输模型的8公里分辨率已经为主要排放源提供了人工缓冲。假设未来的排放控制将大大减少或消除居民用木材燃烧,食物烹饪和柴油机的排放,那么使用“按计划”(中等)人口密度得出的2030年增长情景将实现最低的人口加权平均PM_(2.5)浓度。严峻的冬季停滞事件中,未来的圣华金谷(San Joaquin Valley)。启示:圣华金河谷是美国污染最严重的空气盆地之一,预计在未来几十年内将出现强劲的人口增长。改善该地区空气质量的最佳计划是将中等或高密度人口增长与严格的排放控制相结合。在缺乏控制的情况下,与低密度增长情景(城市蔓延)相比,高密度增长导致人口暴露于PM_(2.5)的增加。

著录项

  • 来源
    《Journal of the air & waste management association》 |2012年第5期|p.566-575|共10页
  • 作者单位

    Department ofCivil and Environmental Engineering, University of California, Davis, Davis, CA, USA;

    Department ofCivil and Environmental Engineering, University of California, Davis, Davis, CA, USA;

    Atmospheric Science Graduate Group, University of California, Davis, Davis, CA, USA;

    Department of Civil and Environmental Engineering, University of California, Davis,One Shields Avenue, Davis, CA 95616, USA;

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