基于OMI数据的青岛市SO_2和NO_2干沉降通量估算  

Dry Deposition Fluxes of Sulfur Dioxide and Nitrogen Dioxide in Qingdao City Based on OMI Remote Sensing Data

作　　者：杜金辉[1] 孙娟[1] 杜廷芹[1] 慕金波[1] 

机构地区：[1]山东省环境保护科学研究设计院,山东济南250013

出　　处：《安全与环境工程》2015年第1期60-65,104,共7页Safety and Environmental Engineering

基　　金：山东省科技发展计划项目(2006GG3206002)

摘　　要：在GIS支持下,以OMI数据产品SO2e和NO2d为数据源,确定了SO2和NO2的质量浓度,并考虑干沉降速率时空变化特征,建立了可满足空间和时间研究需求的区域SO2和NO2干沉降通量估算方法,对青岛市进行了实证研究。结果表明:青岛市SO2干沉降通量呈城镇区域较低、郊区较高及沿海区域较低、内陆区域较高的空间分布特征,NO2干沉降通量呈东北区域较低、西北部和南部胶州湾周围区域较高的空间分布特征;SO2和NO2干沉降通量均具有明显的季节变化特征,即冬季>秋季>春季>夏季;地形、气象和化石燃料消耗量增加等因素使得SO2和NO2干沉降通量冬季值最高,降水冲刷及太阳辐射使得其夏季值最低。该方法可以弥补常规研究手段监测点位过少、监测时段缺失的不足,可为硫素和氮素干沉降通量估算及大气污染防治提供技术支撑。This paper developes a method to estimate the dry deposition fluxes of sulfur dioxide and nitrogen dioxide. This method uses the OMI level 3 products SO2e and NO2d to calculate the mass concentration of sulfur dioxide and nitrogen dioxide with the support of the Geographic Information Systcm（GIS）. The pa per considers the spatial and temporal variation characteristics of the dry deposition velocity and carries on an empirical research in Qingdao City. The results demonstrate that the dry deposition fluxes of sulfur di oxide in the urban areas are lower than in the suburban areas and the dry deposition fluxes of sulfur dioxide in the coastal areas are lower than in the inland areas. The dry deposition fluxes of nitrogen dioxide in the northeast are lower and in the areas in the northwest and around Kiaochow Bay are higher. Both the dry deposition fluxes of sulfur dioxide and nitrogen dioxide show obviously seasonal variation characteristic that the values follow a descending order：winter,autumn,spring and summer,respectively. Factors such as terrain,weather, and the increasing fossil fuel consumption cause the highest fluxes in winter. Rainfall washing and solar radiation cause the lowest fluxes in summer. The usage of atmospheric remote sensing data products in this method can avoid the constraints such as too few ground monitoring points and the lack of monitoring data and satisfy the temporal and spatial needs for the study of the atmospheric dry dep osition. The results can provide the estimation of the atmospheric sulfur and nitrogen deposition and the control of air pollution with the technical support.

关 键 词：OMI数据 SO2 NO2 干沉降通量 青岛市 

分 类 号：X511[环境科学与工程—环境工程]