用户名: 密码: 验证码:
基于OMI卫星数据的对流层O_3柱总量时空分布特征分析
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Analysis of Temporal and Spatial Distribution of Tropospheric O_3 Column Amount Based on OMI Satellite Data
  • 作者:刘春秀 ; 迟雨蕾
  • 英文作者:LIU Chunxiu;CHI Yulei;College of Geomatics,Shandong University of Science and Technology;
  • 关键词:臭氧柱总量 ; 臭氧监测仪(OMI) ; 时空变化 ; 影响因素 ; 全球及中国
  • 英文关键词:total O3 column;;Ozone Monitoring Instrument(OMI);;temporal and spatial variation;;influence factor;;Global and Chinese
  • 中文刊名:北京测绘
  • 英文刊名:Beijing Surveying and Mapping
  • 机构:山东科技大学测绘科学与工程学院;
  • 出版日期:2019-09-25
  • 出版单位:北京测绘
  • 年:2019
  • 期:09
  • 语种:中文;
  • 页:18-22
  • 页数:5
  • CN:11-3537/P
  • ISSN:1007-3000
  • 分类号:X515
摘要
利用OMI卫星数据分析了2008-2017年全球及我国O_3柱总量浓度空间分布特征和长时间序列变化,总结了地形、人口密度、城市扩张和前体物NO2等因素对中国地区O_3柱总量浓度产生的影响。结果表明,全球O_3柱总量高浓度区主要位于中低纬度且季节性差异十分显著,冬季的含量相对较低,夏季的含量相对较高。中国地区由于独特的地形条件、渐增的人口数量和稳步增长的经济发展趋势,中国O_3柱总量浓度具有东南高西北低的分布格局,且含量在逐年降低。通过对流层NO2浓度与O_3柱总量浓度的拟合结果发现,前体物NO2对O_3的生成和分布具有重要影响。
        Using OMI satellite data,the spatial distribution characteristics and long time series variations of both global and Chinese total O_3 column concentrations during 2008-2017 were analyzed.The effects of topography,population density,urban expansion and NO2 on concentration of total O_3 column in China were summarized.The results show that the distribution of high concentration of global O_3 column is mainly located in the middle and low latitudes,and the seasonal difference is very significant.The content in winter is relatively low,and the content in summer is relatively high.Owing to the unique topographic conditions,the increasing population and the steady growth trend of economic development,the concentration of total O_3 column in China has a distribution pattern of high in Southeast and low in northwest,and the content is decreasing year by year.By fitting the concentration of NO2 in troposphere with the concentration of total O_3 column,it is found that the precursor NO2 plays an important role in the formation and distribution of O_3.
引文
[1]SHINE K P.Atmospheric Ozone and Climate Change[J].Ozone Science&Engineering,2001,23(6):429-435.
    [2]王明星.大气化学(第二版)[M].北京:气象出版社,1999.
    [3]贾海峰,刘雪华.环境遥感原理与应用[M].北京:清华大学出版社,2006.
    [4]LIU J,TARASICK D W,FIOLETOV V E,et al.A Global Ozone Climatology from Ozone Soundings Via Trajectory Mapping:A Stratospheric Perspective[J].Atmospheric Chemistry and Physics,2013,13(22):11441-11464.
    [5]HUANG C,LOU D,HU Z,et al.A PEMS Study of the E-missions of Gaseous Pollutants and Ultrafine Particles from Gasoline-and Diesel-fueled Vehicles[J].Atmospheric Environment,2013,77:703-710.
    [6]ZHANG F,ZHAO J,CHEN J,et al.Pollution Characteristics of Organic and Elemental Carbon in PM2.5in Xiamen,China[J].Journal of Environmental Sciences,2011,23(8):1342-1349.
    [7]宁国法,刘冰,张琛,等.滨州市PM2.5浓度时空分布研究[J].北京测绘,2017(4):147-150.
    [8]梁四幺,肖明,陈长坤.2006-2010年间四大城市API的时间序列上的分析研究[J].北京测绘,2018,32(2):165-169.
    [9]STOLARSKI R S,LABOW G J,MCPETERS R D.Springtime Antarctic Total Ozone Measurements in the Early 1970s from the BUV Instrument on Nimbus 4[J].Geophysical Research Letters,2013,24(5):591-594.
    [10]肖钟湧,江洪.亚洲地区OMI和SCIAMACHY臭氧柱总量观测结果比较[J].中国环境科学,2011(4):529-539.
    [11]闫欢欢,李晓静,王维和,等.BRD和DOAS SO_2总量遥感反演算法的比对[J].中国科学:地球科学,2017(9):83-95.
    [12]宋国富.基于OMI的中国SO_2浓度时空分布特征研究[D].甘肃兰州:西北师范大学,2015.
    [13]李莹,赵春生,方圆圆,等.利用卫星资料分析对流层臭氧柱总量分布特征及其可能的原因[J].应用气象学报.2007(2):181-186.
    [14]DUNCAN B N,YOSHIDA Y,OISON J R,et al.Application of OMI Observations to A Space-based Indicator of NOx and VOC Controls on Surface Ozone Formation[J].Atmospheric Environment,2010,44(18):2213-2223.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700