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基于GIS和大气数值模拟技术评估兰州市PM10的人群暴露水平
引用本文:孙兆彬,安兴琴,陶燕,侯青.基于GIS和大气数值模拟技术评估兰州市PM10的人群暴露水平[J].中国环境科学,2012,32(10):1753-1757.
作者姓名:孙兆彬  安兴琴  陶燕  侯青
作者单位:1. 北京市气象台,北京100089;中国气象科学研究院大气成分研究所,北京100081
2. 中国气象科学研究院大气成分研究所,北京,100081
3. 兰州大学资源环境学院,甘肃兰州,730000
基金项目:国家"973"项目,国家自然科学基金资助项目,北京市气象局业务研发专项
摘    要:利用2001年1月1日~31日兰州市城区PM10月均观测浓度和CMAQ空气质量模式模拟出的PM10月均浓度,基于GIS平台,将污染物浓度与人口的空间分布图层相叠加,并采用PM10人口加权算法,定量评估了兰州市居民的颗粒物暴露水平,并对应用这2套数据的评估结果进行了对比.结果表明,与使用观测数据相比,模拟的PM10浓度空间梯度较大,模拟结果更加细致地展示了PM10浓度在兰州城区的分布,同时PM10浓度的最小值和最大值跨度也较大.对比人口加权前后PM10浓度发现:人口加权后,从城区人口的空间分布来讲,兰州市有较多的人口分布在污染较重的地区.

关 键 词:兰州  PM10  数值模拟  暴露水平  
收稿时间:2012-01-06;

Assessment on population exposure levels of PM10 in Lanzhow based on GIS and atmospheric numerical simulation technology
SUN Zhao-bin , AN Xing-qin , TAO Yan , HOU Qing.Assessment on population exposure levels of PM10 in Lanzhow based on GIS and atmospheric numerical simulation technology[J].China Environmental Science,2012,32(10):1753-1757.
Authors:SUN Zhao-bin  AN Xing-qin  TAO Yan  HOU Qing
Institution:1.Beijing Meteorological Observatory, Beijing 100089, China; 2.Institute for Atmospheric Composition Research, Chinese Academy of Meteorological Sciences, Beijing 100081, China;3.College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China)
Abstract:The pollutant concentration layer and population spatial distribution layer in January 2001 were overlaid, based on monthly average PM10 concentrations from measurements and CMAQ simulations. Then population exposure levels were calculated by the population-weighted PM10 concentrations. Assessment results from these two different sets of data were also comparatively analyzed. The simulated PM10 concentration gradient is larger than the observed one. The simulation provides more detailed spatial distribution of PM10 concentrations as well as larger intervals between maxima and minima. Taking the factor of population weights into account, there are more people living in more polluted areas based on simulated PM10 concentrations.
Keywords:Lanzhou  PM10  numerical simulation  exposure levels
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