地球信息科学学报
地毬信息科學學報
지구신식과학학보
GEO-INFORMATION SCIENCE
2014年
2期
207-213
,共7页
近地面%CO2%GOSAT%时空分布
近地麵%CO2%GOSAT%時空分佈
근지면%CO2%GOSAT%시공분포
near the ground surface%CO2%GOSAT%spatial and temporal distribution
本文利用2009年6月至2010年5月日本宇宙航空研究开发机构(JAXA)、日本环境署(MOE)与日本环境研究(NIES)所等联合开发的全球首颗专用温室气体观测卫星“呼吸号”(GOSAT)上的被动红外探测器(TANSO)官方反演的近地面975hPa左右的CO2浓度L4B数据产品,采用ArcGIS地统计分析方法,对比瓦里关全球大气本底站地面观测数据进行真实性检验,分析中国区域近地面CO2浓度分布的时空变化特征。结果表明:中国区域近地面CO2浓度空间分布集中,东高西低,差异显著;CO2浓度具有明显的季节变化特征,月平均浓度4月份(春季)升至最高,7月份(夏季)降至最低。结合“中国统计年鉴2012”中的2009年人口密度、能源消费总量(煤)和GDP等辅助数据对比发现:导致中国近地面CO2浓度空间分布规律的原因多种多样,不可轻易定论是人为或自然使然,需进一步深入研究。
本文利用2009年6月至2010年5月日本宇宙航空研究開髮機構(JAXA)、日本環境署(MOE)與日本環境研究(NIES)所等聯閤開髮的全毬首顆專用溫室氣體觀測衛星“呼吸號”(GOSAT)上的被動紅外探測器(TANSO)官方反縯的近地麵975hPa左右的CO2濃度L4B數據產品,採用ArcGIS地統計分析方法,對比瓦裏關全毬大氣本底站地麵觀測數據進行真實性檢驗,分析中國區域近地麵CO2濃度分佈的時空變化特徵。結果錶明:中國區域近地麵CO2濃度空間分佈集中,東高西低,差異顯著;CO2濃度具有明顯的季節變化特徵,月平均濃度4月份(春季)升至最高,7月份(夏季)降至最低。結閤“中國統計年鑒2012”中的2009年人口密度、能源消費總量(煤)和GDP等輔助數據對比髮現:導緻中國近地麵CO2濃度空間分佈規律的原因多種多樣,不可輕易定論是人為或自然使然,需進一步深入研究。
본문이용2009년6월지2010년5월일본우주항공연구개발궤구(JAXA)、일본배경서(MOE)여일본배경연구(NIES)소등연합개발적전구수과전용온실기체관측위성“호흡호”(GOSAT)상적피동홍외탐측기(TANSO)관방반연적근지면975hPa좌우적CO2농도L4B수거산품,채용ArcGIS지통계분석방법,대비와리관전구대기본저참지면관측수거진행진실성검험,분석중국구역근지면CO2농도분포적시공변화특정。결과표명:중국구역근지면CO2농도공간분포집중,동고서저,차이현저;CO2농도구유명현적계절변화특정,월평균농도4월빈(춘계)승지최고,7월빈(하계)강지최저。결합“중국통계년감2012”중적2009년인구밀도、능원소비총량(매)화GDP등보조수거대비발현:도치중국근지면CO2농도공간분포규률적원인다충다양,불가경역정론시인위혹자연사연,수진일보심입연구。
Data adopted was the official near the ground surface (975hPa) CO2 concentration L4B retrieval data products of GOSAT-the world’s first Greenhouse Gases Observing Satellite“Breathing No.”-with a passive infrared detector (TANSO) from June 2009 to May 2010, which was jointly developed by Japan Aerospace Ex-ploration Agency (JAXA), Japanese Environment Agency (MOE) and the Japan Institute for Environmental Stud-ies (NIES). Based on the ArcGIS Geostatistical Analytical Method, authenticity inspection was processed by comparing the data mentioned above with the ground observation data of the Global Atmospheric Background Station (Waliguan), in order to analyze Chinese CO2 concentration spatial and temporal variations near the ground surface. The results show that:(i) Chinese CO2 concentration near the ground surface is concentrated and has a high value in the East, a low value in the West;(ii) Chinese CO2 concentration has an obviously seasonal variation characteristic that monthly average concentration has a largest amount in April (spring) and a smallest in July (summer);(iii) Combining with 2009 Chinese population density, total energy consumption (coal), GDP and other auxiliary data from the China Statistical Yearbook 2012, we find that the reasons of Chinese CO2 spa-tial and temporal distribution near the ground surface are various, and cannot be attributed easily to human or na-ture.