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首页> 外文期刊>The Science of the Total Environment >Urban dust in the Guanzhong basin of China, part Ⅱ: A case study of urban dust pollution using the WRF-Dust model
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Urban dust in the Guanzhong basin of China, part Ⅱ: A case study of urban dust pollution using the WRF-Dust model

机译:关中盆地城市扬尘,第二部分:以WRF-Dust模型为例的城市扬尘污染

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摘要

We developed a regional dust dynamical model (WRF-Dust) to simulate surface dust concentrations in the Guanzhong (GZ) basin of China during two typical dust cases (19th Aug. and 26th Nov., 2013), and compared model results with the surface measurements at 17 urban and rural sites. The important improvement of the model is to employ multiple high-resolution (0.5-500 m) remote sensing data to construct dust sources. The new data include the geographic information of constructions, croplands, and barrens over the GZ basin in summer and winter of 2013. For the first time, detailed construction dust emissions have been introduced in a regional dust model in large cities of China. Our results show that by including the detailed dust sources, model performance at simulating dust pollutions in the GZ basin is significantly improved. For example, the simulated dust concentration average for the 17 sites increases from 28 μg m~(-3) to 59 μg m~(-3), closing to the measured concentration of 66 μg m~(-3). In addition, the correlation coefficient (r) between the calculated and measured dust concentrations is also improved from 0.17 to 0.57, suggesting that our model better presents the spatial variatioa Further analysis shows that urban construction activities are the crucial source in controlling urban dust pollutions. It should be considered by policy makers for mitigating paniculate air pollution in many Chinese cities.
机译:我们建立了区域尘埃动力学模型(WRF-Dust),以模拟两次典型尘埃事件(2013年8月19日和11月26日)期间中国关中盆地地表灰尘浓度,并将模型结果与地表进行了比较。 17个城乡站点的测量值。该模型的重要改进是采用多个高分辨率(0.5-500 m)遥感数据来构建尘埃源。新数据包括2013年夏季和冬季在GZ盆地上的建筑,农田和荒地的地理信息。在中国大城市的区域灰尘模型中,首次引入了详细的建筑灰尘排放。我们的结果表明,通过包括详细的粉尘源,可以显着改善GZ盆地模拟粉尘污染的模型性能。例如,这17个站点的模拟尘埃浓度平均值从28μgm〜(-3)增加到59μgm〜(-3),接近测得的66μgm〜(-3)浓度。此外,计算和测得的粉尘浓度之间的相关系数(r)也从0.17提高到0.57,这表明我们的模型更好地呈现了空间变异性。进一步的分析表明,城市建设活动是控制城市粉尘污染的关键来源。决策者应考虑在中国许多城市中减轻颗粒物空气污染。

著录项

  • 来源
    《The Science of the Total Environment》 |2016年第15期|1614-1624|共11页
  • 作者单位

    Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China,Department of Atmospheric Sciences, National Taiwan University, Taipei 10617, Taiwan;

    Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China,University of Chinese Academy of Sciences, Beijing 100049, China;

    Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China,National Center for Atmospheric Research, Boulder, CO 80303, USA;

    Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China,Institute of Global Environmental Change, Xi'an Jiaotong University, Xi'an 710049, China;

    Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China,Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen 5232, Switzerland;

    Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China;

    Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China,Institute of Global Environmental Change, Xi'an Jiaotong University, Xi'an 710049, China;

    Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China;

    Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    WRF-Dust; Dust pollution; Construction dust; The Guanzhong basin;

    机译:WRF-灰尘;粉尘污染;建筑粉尘;关中盆地;

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