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doi:  10.12013/qxyjzyj2019-001
基于GOSAT卫星遥感的我国中部地区大气CH4时空分布

Spatial and temporal distribution of atmospheric CH4 in central China based on satellite observations
摘要点击 126  全文点击 211  投稿时间:2018-09-03  修订日期:2018-12-18
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基金:  中国清洁发展机制基金(编号:2014102); 2018年江西省气象局面上项目“不同耕作制度下江西省稻田生态系统温室气体排放特征研究”.
中文关键词:  大气CH4浓度,时空分布,中部地区,GOSAT卫星
英文关键词:  CH4 concentration  spatial and temporal distribution  central China  GOSAT satellite
        
作者中文名作者英文名单位
夏玲君Xia Lingjun江西省生态气象中心
巩志宇Gong Zhiyu江西省气候中心
李柏贞Li Bozhen江西省生态气象中心
引用:夏玲君,巩志宇,李柏贞.2019,基于GOSAT卫星遥感的我国中部地区大气CH4时空分布[J].气象与减灾研究,42(1):1-8
中文摘要:
      利用2013—2016年GOSAT上被动红外探测器(TANSO)官方反演的大气CH4柱浓度,采用普通克里金插值(Ordinary Kriging)方法对GOSAT卫星数据产品进行插值预处理,并利用ArcGIS地理信息系统空间分析软件提取各省份CH4平均浓度,分析中部地区CH4浓度的时空分布。结果表明,由GOSAT反演的中部地区大气CH4年均浓度由2013年的1 827.0×10-9增长到2016年的1 857.9×10-9,其平均绝对增长率为10.3×10-9 /a。中部地区大气CH4年均浓度略低于长三角地区,高于京津冀和东三省地区。中部地区大气CH4呈现较强的季节变化特征,江西、湖南、湖北峰值出现在9月,安徽、河南、山西峰值则出现在8月,中部六省去长期趋势后的月均值均略低于长三角地区,高于京津冀和东三省地区。我国中部地区CH4浓度高值区主要分布在江西、湖南及周边区域,低值区则集中在河南以北及山西地区。
Abstract:
      Based on retrieved CH4 products of TANSO detector on GOSAT satellite during 2013-2016 and data interpolation by the Ordinary Kriging interpolation method , CH4 concentrations of each provinces were extracted and the spatial and temporal distribution characteristics of CH4 in central areas of China were analyzed using ArcGIS. The annual CH4 retrieved from GOSAT ranged from 1 827.0×10-9 in 2013 to 1 857.9×10-9 in 2016, with a growth rate of 10.3×10-9 per year. The annual means in central areas of China were slightly lower than those in Yangze River Delta (YZD), but higher than those in Jing Jin Ji area (JJJ) and northeastern China region (NCR). The atmospheric CH4 presented relatively obvious seasonal variations, the peak appeared in September for Jiangxi, Hunan and Hubei, and occurred in August for Anhui, Henan and Shanxi. The “detrended” monthly means in central area of China were slightly lower than that in YZD, but higher than in JJJ and NCR. The CH4 concentrations in Hunan, Jiangxi and the nearby areas were with the highest values, and with the lowest values over Shanxi and north areas of Henan province.
主办单位:江西省气象学会 单位地址:南昌市高新开发区艾溪湖二路323号
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