节点文献
污染物分布特征及演变过程的分析和数值模拟
Analysis and Numerical Study on Distribution and Evolution Process of Pollutants
【Author】 HAN Zhi-wei, WANG Xue-mei, ZHU Jiang(1. State Key Lab. Atmos. Boundary Layer Phys. and Atmos. Chem., Inst. Atmos. Phys., CAS, Beijing 100029;2. Department of Environ. Science, Zhongshan University, Guangzhou, Guangdong 510275, China; 3. International Center for Climate and Environmental Sciences, Inst. Atmos. Phys., CAS, Beijing 100029, China)
【机构】 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室; 中山大学环境科学系; 中国科学院大气物理研究所国际气候与环境科学中心;
【摘要】 介绍了2000年2月15日至3月10日(采暖期)在济南市环保所监测站观测的污染物(PM10,SO2)和气象参量的观测结果,对污染物的变化规律及其与气象因子的关系进行了分析,利用城市空气污染数值预报模式研究了近地面PM10和SO2的时空分布特征和演变规律。结果表明,SO2与风速和温度有较强的负相关关系,而PM10与温度和风速的关系不明显。地表扬尘是济南市PM10的重要来源之一,近地面SO2和PM10的浓度呈现多中心分布,大值区集中在市区、城镇和大电厂附近;污染物的分布和演变受到天气系统、局地环流以及边界层稳定度的共同影响。
【Abstract】 The data of primary pollutants (PM10, SO2) and meteorological parameters which were observed at RIEP monitoring stations in Jinan in the heating period from February 15 to March 10, 2000 are introduced. The variation rule of pollutants and related meteorological factors are analyzed. By using the urban air pollution prediction model system, the distribution and variation of surface PM10 and SO2 are investigated. The results indicate that PM10 and SO2 are both major pollutants in heating period in Jinan, and PM10 level is higher than that of SO2. The results also show that there are strong negative correlation between SO2 and either wind speed or temperature; but no obvious relationship are found between PM10 and either wind speed or temperature. Uprising dust from surface is an important source of PM10 in Jinan. The surface pollutants exhibit multi-center distribution pattern, there are high concentration regions in urban area, satellite town and big power plants. The polluted areas where PM10 concentration exceed 100 μg/m3 are much bigger in daytime than that in the evening because of favorable conditions of diffusion and increasing amount of sources emission, urban pollutants are easy to be transported to mountain region by valley wind. The model results denote that the variation of pollutants are strongly affected by synoptic wind, local circulation and boundary layer stability.
【Key words】 pollutants; heating period; meteorological factors; air pollution prediction model; local circulation;
- 【会议录名称】 中国颗粒学会2002年年会暨海峡两岸颗粒技术研讨会会议论文集
- 【会议名称】中国颗粒学会2002年年会暨海峡两岸颗粒技术研讨会
- 【会议时间】2002-11
- 【会议地点】中国广西桂林
- 【分类号】X830
- 【主办单位】中国颗粒学会