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1. 新疆大学资源与环境科学学院
2. 新疆大学绿洲生态教育部重点实验室
3. 中亚地理信息开发利用国家测绘地理信息局工程技术研究中心
Published:2020
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[1]齐亚霄,张飞,王一山.PM_(2.5)遥感研究热点分析[J].新疆大学学报(自然科学版)(中英文),2020,37(02):223-233.
[1]齐亚霄,张飞,王一山.PM_(2.5)遥感研究热点分析[J].新疆大学学报(自然科学版)(中英文),2020,37(02):223-233. DOI: 10.13568/j.cnki.651094.651316.2019.06.03.0001.
DOI:10.13568/j.cnki.651094.651316.2019.06.03.0001.
选取2004年—2017年被中国知网学术期刊网络出版总库(CNKI)和Web of Science (WOS)核心合集收录的遥感研究PM2.5的文献为数据源
以遥感(Remote Sense、Remote Sensing、RS)和PM2.5为主题进行检索
利用文献计量和共词分析的方法对检索到的文献数量、关键词、收录期刊、作者等进行研究状况和趋势分析
对遥感研究PM2.5的热点进行归纳
总结的研究热点如下:(1)通过遥感手段研究PM2.5主要是利用传感器获取的气溶胶光学厚度(Aerosol Optical Depth
AOD)数据
建立AOD和PM2.5之间的相关关系
对PM2.5浓度进行估算
NASA的MODIS气溶胶产品是采用最为广泛的数据;(2) PM2.5与PM10之间存在着时空上的相关关系
与雾霾的形成息息相关;(3)遥感技术的迅猛发展
实现了对PM2.5多方式实时监测
未来PM2.5遥感监测手段将更加便捷、丰富多样;(4)遥感技术对于由PM2.5污染引起的地方性疾病的监测将发挥越来越大的作用;(5) PM2.5的分布与城市化息息相关
结合多源遥感影像对城市化的进程进行分析
建立两者之间的相关关系;(6)由于遥感本身具有一定的局限性
要加强实地监测以便对PM2.5进行更有效的分析研究.
This paper selected articles of remote sensing research on PM2.5
which were collected by the China National Knowledge Infrastructure(CNKI) and the Web of Science(WOS) core collection in 2004-2017 as data source
used "remote sense"
"remote sensing"
"RS" and "PM2.5" as the subjects to retrieve.This paper used bibliometric and co-word analysis methods to study the status and trend of retrieved documents
keywords
journals
authors
etc.Meanwhile
the hot spots of remote sensing research on PM2.5 were summarized.And the research hotspots summarized by the author were as follows:(1) Remote sensing study of PM2.5 mainly used the aerosol optical depth(AOD) data obtained by satellite sensors
and established the relationship between AOD and PM2.5 to estimate the concentration of PM2.5
MODIS aerosol product of NASA was the most widely adopted data for experts and scholars.(2) The relationship between PM2.5 and PM10 was closely related temporally and spatially
which were also responsible for the formation of haze.(3) The rapid development of remote sensing technology had realized the multi-way and real-time monitoring of PM2.5.In the future
the PM2.5 remote sensing monitoring method will be more convenient and diverse.(4) Remote sensing technology will play a more and more important role in monitoring for endemic disease caused by PM2.5 pollution.(5) The distribution of PM2.5 and urbanization is closely related
combining multi-source remote sensing image analysis and establishment of the relationship between them.(6) As remote sensing itself has some limitations
we should strengthen on-site monitoring to analyze PM2.5more effectively.
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