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中国关中盆地城市尘 II:利用 WRF-Dust 模型研究城市尘污染。

Urban dust in the Guanzhong basin of China, part II: A case study of urban dust pollution using the WRF-Dust model.

机构信息

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.

出版信息

Sci Total Environ. 2016 Jan 15;541:1614-1624. doi: 10.1016/j.scitotenv.2015.10.028. Epub 2015 Oct 23.

Abstract

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 variation. 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 particulate air pollution in many Chinese cities.

摘要

我们开发了一个区域尘动力学模型(WRF-Dust),用于模拟中国关中(GZ)盆地在两个典型尘暴期间(2013 年 8 月 19 日和 11 月 26 日)的地表尘浓度,并将模型结果与 17 个城乡站点的地表测量值进行了比较。该模型的重要改进是采用多个高分辨率(0.5-500 m)遥感数据来构建尘源。新数据包括 2013 年夏季和冬季 GZ 盆地建筑、农田和荒地的地理信息。这是中国首次在区域尘模型中引入详细的建筑扬尘排放。结果表明,通过包含详细的尘源,模型在模拟 GZ 盆地尘污染方面的性能得到了显著提高。例如,17 个站点的模拟粉尘浓度平均值从 28μg/m³增加到 59μg/m³,接近测量值 66μg/m³。此外,计算和测量的粉尘浓度之间的相关系数(r)也从 0.17 提高到 0.57,表明我们的模型更好地呈现了空间变化。进一步的分析表明,城市建设活动是控制城市尘污染的关键来源。这应该引起决策者的重视,以减轻许多中国城市的颗粒物空气污染。

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