DocumentCode :
2000172
Title :
Integrated ground-based monitoring of dust aerosol from a semi-arid site in North China during 2004–2006
Author :
Xu, Dan ; Niu, Shengjie
Author_Institution :
Sch. of Atmos. Phys., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
fYear :
2009
fDate :
12-14 Aug. 2009
Firstpage :
1
Lastpage :
4
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.
Keywords :
aerosols; atmospheric measuring apparatus; dust; remote sensing; AD 2004 to 2006; North China; dust aerosol; dust weather; ground based monitoring; optical depth; remote sensing; semiarid site; sunphotometer; visibility meter; Aerosols; Atmospheric measurements; Clouds; Optical filters; Optical sensors; Optical variables control; Photometry; Remote monitoring; Satellites; Sea measurements; aerosol optical depth; aerosol size distribution; atmospheric visibility; integrated monitoring; mass concentration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2009 17th International Conference on
Conference_Location :
Fairfax, VA
Print_ISBN :
978-1-4244-4562-2
Electronic_ISBN :
978-1-4244-4563-9
Type :
conf
DOI :
10.1109/GEOINFORMATICS.2009.5293411
Filename :
5293411
Link To Document :
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