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中国农学通报 ›› 2017, Vol. 33 ›› Issue (4): 131-135.doi: 10.11924/j.issn.1000-6850.casb16070061

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

基于OMI数据白银市SO2浓度时空分布特征研究

王彦   

  1. 白银高新技术产业开发区管理委员会
  • 收稿日期:2016-07-12 修回日期:2016-11-16 接受日期:2016-11-21 出版日期:2017-02-10 发布日期:2017-02-10
  • 通讯作者: 王彦
  • 基金资助:
    甘肃省省青年科技基金计划项目“耦合CMAQ模型的白银市SO2遥感数据反演模型与方法研究”(145RJYD306)。

Spatio-Temporal Distribution of SO2 Concentration: In Baiyin Based on OMI Data

  • Received:2016-07-12 Revised:2016-11-16 Accepted:2016-11-21 Online:2017-02-10 Published:2017-02-10

摘要: 选取Aure卫星搭载的臭氧监测仪(OMI)Level-2痕量数据,采用遥感图像处理方法和地理信息系统分析技术,解译甘肃省白银市大气边界层SO2浓度,探究2011-2013年大气SO2时空分布特征,估算SO2 的排放总量。结果表明,研究区SO2量值分布极不平衡,呈现离散面状分布格局,中高值区域主要集中在白银区城市建成区域的中南部地区及平川区城市建成区域的中西部地区;浓度在各月份呈现“U”型分布,表现出冬季浓度最高,夏季最低的特点;不存在明显高值范围,但中高柱量值浓度SO2柱量值区的范围明显增加。研究表明,通过OMI痕量数据,建立模型对地面环境的栅格数据评价,为白银市SO2远程监测提供理论依据和方法参考。

关键词: 硒, 硒, 小麦, 富硒效果, 富硒机理

Abstract: The author studied the spatio- temporal distribution characteristics of SO2 concentration and estimated the total emission of SO2 in Baiyin by using OMI satellite remote sensing data from January 2011 to December 2013, with remote sensing image processing method and the geographic information system analysis technology. The results showed that: the distribution of SO2 values was extremely imbalanced, showing a discrete planar, the high value area mainly concentrated in central and southern parts of Baiyin and central and western regions of the Pingchuan; besides, SO2 concentration in winter was significantly higher than that in summer, and they presented a“U” distribution; the high value range was not obvious, but SO2 high concentration scope had a significant increase. The study showed that using the OMI level-2 trace data, the author could build a model to evaluate the raster data on ground environment, in order to provide theoretical basis and method for remote monitoring of atmospheric boundary layer SO2 in Baiyin.

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