###
DOI:
本文二维码信息
基于FY-4A卫星资料的中国区域网格化地表大气颗粒物浓度估算
(1.国家气象中心;2.中国气象科学研究院)
Estimation of Gridding Surface Atmospheric Particle Matters Concentration In China Based on FY-4A Satellite Observation
Jiangqi1, Zhangtianhang1, Guihailin2, Wangfei3, Chixiyuan2, Zhangbihui2, Xuran2
(1.National Meteorological Centre;2.National Meteorological Centre, Beijing 100081,China;3.Chinese Academy of Meteorological Sciences, Beijing 100081,China)
摘要
相似文献
本文已被:浏览 96次   下载 55
投稿时间:2019-09-25    修订日期:2020-07-17
中文摘要: 本文利用PMSR方法,对FY-4A卫星资料进行反演,并通过与地面站点资料融合,得到我国近地面PM2.5网格化实况。建立清洁、霾、沙尘背景条件下PM2.5与PM10转化关系的格点地图,进一步估算我国地表PM10浓度。结果表明,不同区域间VEf与FMF均存在相似的相关关系,以FMF=0.4为界,分别建立了两个VEf拟合方程,估算得到的VEf与AERONET观测的VEf相关性(r2)高于0.85。霾过程中,通过PMSR方法反演得到的近地面PM2.5质量浓度与实况站点分布有较好的匹配,基本可以反映出污染的高浓度区域,单点检验中,反演结果与实况数据存在一定的相关性,其中京津冀的r2可达0.39,但数值上仍存在高估或低估。为了解决这一问题,本研究将卫星反演格点结果与地面观测站点进行融合,最终得到与实况吻合较好的0.25°×0.25°全国PM2.5网格化实况。不同天气背景条件下各站点PM10和PM2.5相关性均高于0.7。其中,沙尘时段PM10/PM2.5>3高值区与我国沙源地和沙尘高发区有较好的对应关系。霾时段PM10/PM2.5接近于1,清洁时段,全国大部PM10/PM2.5介于1和2之间。通过PM2.5与PM10转化关系的格点地图,根据不同天气背景,反演得到我国网格化地表PM10实况,其结果可以较好的反应我国西北地区的沙尘天气过程。
中文关键词: FY-4A  PMSR方法  PM2.5  PM10  相关性
Abstract:In this study,the Physical PM2.5 Remote Sensing (PMRS) method was used to invert the FY-4A observation data, and through the fusion with the ground station data, the near-ground PM2.5 gridding live data in China was obtained. Establish a grid map of the relationship between PM2.5 and PM10 under different conditions of clean, haze and dust background, further PM10 concentration was estimated in China. The results showed that there was a similar correlation between columnar volume-to-extinction ratio of fine particulates (VEf) and fine mode fraction (FMF) in different regions. With FMF=0.4 as the boundary, two fitting equations of VEf were established respectively. The correlation (r2) between VEf and AERONET observation was higher than 0.85. During the haze period, the PM2.5 mass concentration obtained by PMRS had a good match with the actual site distribution, which can basically reflect the high concentration area of pollution. In single point test, the remote sensing results had a certain correlation with the surface observation, and reached to 0.39 in the region of Beijing-Tianjin-Hebei. However, to some extent there were still overestimated or underestimated in the value of inversion compared to surface observation data. In order to solve this problem, the study combines the satellite inversion grid results with the ground observation site, and finally obtains a 0.25°×0.25° national PM2.5 gridded live data that was in good agreement with the ground observation data. The r2 between PM10 and PM2.5 was higher than 0.7 under different weather conditions. Among them, the value which PM10/PM2.5>3 was match with the sand source area and the high dust area in China during the dust period. During the haze period, PM10/PM2.5 was close to 1, and the value was between 1 and 2 during cleaning period for most stations. Through the lattice map of the relationship between PM2.5 and PM10, according to different weather backgrounds, the gridded surface PM10 in China is obtained, and the results can better reflect the dust process in northwest China.
keywords: FY-4A  PMSR method  PM2.5  PM10  r2
文章编号:201909250352     中图分类号:    文献标志码:
基金项目:国家重点研发计划项目(2016YFC0203301);国家自然基金(41875181); 中国气象局气象预报业务关键技术发展专项( YBGJXM(2019)02-02)和;国家气象中心预报员专项(CMAYBY2018-092)和上甸子国家大气本底站开放研究课题(SDZ2020613)
引用文本:
江琪,张天航,桂海林,王飞,迟茜元,张碧辉,徐冉,0.[en_title][J].Meteor Mon,():-.
Jiangqi,Zhangtianhang,Guihailin,Wangfei,Chixiyuan,Zhangbihui,Xuran,0.Estimation of Gridding Surface Atmospheric Particle Matters Concentration In China Based on FY-4A Satellite Observation[J].Meteor Mon,():-.