关中二氧化硫污染特征及城市间相互影响分析  

Pollution Characteristics and Regional Interaction of SO_2 in Guanzhong Region

作　　者：李文慧 陈洁 张亚娟 王繁强[2] 邓顺熙[3] 苑魁[3] 

机构地区：[1]陕西省环境科学研究院,陕西西安710061 [2]陕西省气象科学研究所,陕西西安710015 [3]长安大学,陕西西安710054

出　　处：《环境科学与技术》2015年第5期195-200,211,共7页Environmental Science & Technology

基　　金：陕西省科技统筹创新工程项目(2012KTZB03-01)

摘　　要：利用2007年污染源普查数据和地面气象观测资料,使用CALPUFF模型对关中地区二氧化硫(SO2)的空间分布特征进行模拟,并在此基础上,研究该地区各城市间的相互影响。对比模拟结果和同期地面监测资料发现,模型模拟结果基本接近SO2大气污染的情况。从模型模拟结果来看,关中地区SO2浓度分布呈现出以西安市建成区为高浓度中心,并逐渐向外辐射降低的特点;关中城市群之间的SO2相互影响作用比较明显,其中咸阳市的SO2污染有44.7%来自于其他4个城市,西安、渭南、铜川和宝鸡市的外源贡献率分别为22.5%、18.2%、16.8%和13.3%。综合上述结果,关中城市群之间SO2的相互输送影响作用导致了该区域二次污染物硫酸根的污染加重,因此区域尺度的大气污染协同控制显得十分必要和紧迫。CALPUFF model together with the year 2007 pollution emission inventory and meteorological data, were applied to calculate concentrations and regional interaction of sulfur dioxide （SO2） in Guanzhong Region, Shaanxi Province. To evaluate the model performance, the simulated concentrations of SO2 with the data observed were compared, which helps to confirm that the simulating system used in this study was effective for SO2 pollution simulation. And the simulated results showed that spatial distribution of SO2 concentration is centered to urban area of Xi＇an and decreases gradually from Xi＇an outward. Total SO2 external contribution rates of cities like Xianyang, Xi＇an, Weinan, Tongchuan and Baoji are 44.7%, 22.5%, 18.2%, 16.8% and 13.3% respectively. The interactions of urban air pollution influence factors among cities in Guanzhong are significant, which provides conditions for the formation and aggravation of the secondary air pollution such as sulfate. So synergistic control of air pollution at the regional scale is urgently needed.

关 键 词：关中地区 二氧化硫(SO2) CALPUFF模型 相互影响 

分 类 号：X823[环境科学与工程—环境工程]