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遥感技术与应用  2011, Vol. 26 Issue (2): 186-195    DOI: 10.11873/j.issn.1004-0323.2011.2.186
研究与应用     
静止气象卫星遥感探测华北平原秋季大雾研究
李军1,2,韩志刚1,陈洪滨1,赵增亮3,吴宏议4
(1.中国科学院大气物理研究所中层大气与全球环境探测实验室,北京100029;
2.中国科学院研究生院,北京100049;3.北京应用气象研究所,北京100029;
4.北京市气象局,北京100089)
Detection of Heavy Fog Events over North China Plain by Using the Geostationary Satellite Data
LI Jun1,,HAN Zhi-gang1,CHEN Hong-bin1,ZHAO Zeng-liang3,WU Hong-yi4
(1.LAGEO,Institute of Atmospheric Physics Chinese Academy of Sciences,Beijing 100029,China;
2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China;
3.Beijing Institute of Applied Meteorology,Beijing 100029,China;
4.Beijing Meteorological Bureau,Beijing 100089,China)
 全文: PDF(3888 KB)  
摘要:

秋季是华北平原大雾多发季节,近年来大雾成为主要的灾害性天气之一,实时监测信息对于人们安排生产生活十分有利。使用主成分分析方法对2006年11月19日11∶00和20日05∶00华北平原出现大雾天气两个时次的静止卫星MTSAT\|1R资料进行了处理分析,结果表明该方法可以突出雾区与其他区域的差异,检测到大雾的存在。在此基础上,对2006年11月和2007年10月出现在华北平原的两次大雾天气过程进行大雾信息提取,并对大雾检测阈值进行了敏感性分析,选取合适的检测阈值。利用基于主成分分析的改进遥感方法对2008年10月16日~11月30日的MTSAT\|1R资料进行了大雾检测批量处理,并将大雾探测结果与地面常规观测资料进行了对比验证。结果表明改进方法可以探测到雾区的影响范围,检测阈值通用性好,探测大雾的准确率较高。两种方法均可昼夜连续监测大雾的生成、发展和消散,显示了这两种方法在大雾实时监测方面较传统地面观测资料具有时间分辨率高、客观和准确等优点。

关键词: 秋季大雾卫星遥感主成分分析    
Abstract:

In North China region,the autumn is a prevalent season of heavy fog,which has become a major severe weather in recent years.Real\|time monitoring of fog is essential for transport industry and public activities.Two heavy fog events occurring in North China Plain at 11∶00 LST on 19 November 2006 and at 05∶00 LST on 20 November 2006 were detected by employing principal component image transformation of MTSAT\|1R Imagery.The results show that the principle component analysis technique can enhance the difference between fog area and other regions and detect heavy fog.Based on the principle component analysis,extract fog information by using threshold detection,the sensitivity analysis of fog detection threshold was done and selected the appropriate detection threshold.MTSAT\|1R data from 16 October to 30 November 2008 were processed by using threshold detection method with batch process,and the results were compared with conventional ground\|based meteorological observation data.The results show that the improved remote sensing method based on PCA can detect areas of fog affected,the detection threshold is of good stability,accuracy rate of detection fog is high and the method is objective.Both methods can effectively and consecutively detect development and dissipation of fog events and the real time detection of heavy fog by using these two techniques have much superiority over traditional surface detection in temporal\|resolution,objectivity and veracity.

 

Key words: Heavy fog in autumn    Satellite remote sensing    Principal component analysis
收稿日期: 2010-10-27 出版日期: 2011-07-25
:  P 407  
基金资助:

国家自然科学重点基金项目(40830102),国家973计划项目“多尺度气溶胶综合观测和时空分布规律研究”(2010CB950804)。

作者简介: 李军(1978-),男,内蒙古扎兰屯人,助理工程师,主要从事大气辐射与大气遥感研究。Email:lijun_ljr@mail.iap.ac.cn。
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引用本文:

李军,韩志刚,陈洪滨,赵增亮,吴宏议. 静止气象卫星遥感探测华北平原秋季大雾研究[J]. 遥感技术与应用, 2011, 26(2): 186-195.

LI Jun,,HAN Zhi-gang,CHEN Hong-bin,ZHAO Zeng-liang,WU Hong-yi. Detection of Heavy Fog Events over North China Plain by Using the Geostationary Satellite Data. Remote Sensing Technology and Application, 2011, 26(2): 186-195.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2011.2.186        http://www.rsta.ac.cn/CN/Y2011/V26/I2/186

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