{"title":"Integrated ground-based monitoring of dust aerosol from a semi-arid site in North China during 2004–2006","authors":"Dan Xu, S. Niu","doi":"10.1109/GEOINFORMATICS.2009.5293411","DOIUrl":null,"url":null,"abstract":"An observational study on dust-storm is performed according to the ground-based integrated monitoring system at a semi-arid site. For the automatic sun-tracking photometer, which has widely-acceptable retrieval accuracy, cloud influence stays still a problem for vertical atmosphere remote sensing. Multimodal distribution of optical depth thus appears during dust-storm event and brings out difficulty in confirming the peak value for dust aerosol, and even results in valid data missing. A fitting relationship between the measurements of visibility meter and sunphotometer is listed according to dust weather. Accuracy validation is carried out based on the cases during 2004-2006, with a correlation analysis using the measurements of PM10 monitor. Columnar aerosol size distributions are in consideration for a comprehensive explanation. The suggested result leads to a better understanding for dust aerosol characteristic and dust-storm pre-warning in despite of the cloud interference.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 17th International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293411","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
An observational study on dust-storm is performed according to the ground-based integrated monitoring system at a semi-arid site. For the automatic sun-tracking photometer, which has widely-acceptable retrieval accuracy, cloud influence stays still a problem for vertical atmosphere remote sensing. Multimodal distribution of optical depth thus appears during dust-storm event and brings out difficulty in confirming the peak value for dust aerosol, and even results in valid data missing. A fitting relationship between the measurements of visibility meter and sunphotometer is listed according to dust weather. Accuracy validation is carried out based on the cases during 2004-2006, with a correlation analysis using the measurements of PM10 monitor. Columnar aerosol size distributions are in consideration for a comprehensive explanation. The suggested result leads to a better understanding for dust aerosol characteristic and dust-storm pre-warning in despite of the cloud interference.