干旱区生态环境知识资源中心(Arid): Improvement and Evaluation of Automatic Quality Check Algorithm for Particulate Matter (PM10) by Analysis of Instrument Status Code

Arid

DOI	10.14191/Atmos.2019.29.4.501
	Improvement and Evaluation of Automatic Quality Check Algorithm for Particulate Matter (PM10) by Analysis of Instrument Status Code
	Kim, Mi-Gyeong; Park, Young-San; Ryoo, Sang-Boom; Cho, Jeong Hoon
通讯作者	Cho, JH
来源期刊	ATMOSPHERE-KOREA
ISSN	1598-3560
EISSN	2288-3266
出版年	2019
卷号	29 期号:4 页码:501-509
英文摘要	Asian Dust is a meteorological phenomenon that sand particles are raised from the arid and semi-arid regions Taklamakan Desert, Gobi Desert and Inner Mongolia in China and transported by westerlies and deposited on the surface. Asian dust results in a negative effect on human health as well as environmental, social and economic aspects. For monitoring of Asian Dust, Korea Meteorological Administration operates 29 stations using a continuous ambient particulate monitor. Kim et al. (2016) developed an automatic quality check (AQC) algorithm for objective and systematic quality check of observed PM10 concentration and evaluated AQC with results of a manual quality check (MQC). The results showed the AQC algorithm could detect abnormal observations efficiently but it also presented a large number of false alarms which result from valid error check. To complement the deficiency of AQC and to develop an AQC system which can be applied in real-time, AQC has been modulated. Based on the analysis of instrument status codes, valid error check process was revised and 6 status codes were further considered as normal. Also, time continuity check and spike check were modified so that posterior data was not referred at inspection time. Two-year observed PM10 concentration data and corresponding MQC results were used to evaluate the modulated AQC compared to the original AQC algorithm. The results showed a false alarm ratio decreased from 0.44 to 0.09 and the accuracy and the probability of detection were conserved well in spite of the exclusion of posterior data at inspection time.
英文关键词	PM10 quality check instrument status code flag beta ray
类型	Article
语种	其他
收录类别	ESCI
WOS记录号	WOS:000511126200013
WOS关键词	ASIAN DUST EVENTS ; SOURCE REGIONS ; TRANSPORT
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/334074
作者单位	[Kim, Mi-Gyeong; Park, Young-San; Ryoo, Sang-Boom; Cho, Jeong Hoon] Natl Inst Meteorol Sci, Environm Meteorol Res Div, Jeju, South Korea
推荐引用方式 GB/T 7714	Kim, Mi-Gyeong,Park, Young-San,Ryoo, Sang-Boom,et al. Improvement and Evaluation of Automatic Quality Check Algorithm for Particulate Matter (PM10) by Analysis of Instrument Status Code[J],2019,29(4):501-509.
APA	Kim, Mi-Gyeong,Park, Young-San,Ryoo, Sang-Boom,&Cho, Jeong Hoon.(2019).Improvement and Evaluation of Automatic Quality Check Algorithm for Particulate Matter (PM10) by Analysis of Instrument Status Code.ATMOSPHERE-KOREA,29(4),501-509.
MLA	Kim, Mi-Gyeong,et al."Improvement and Evaluation of Automatic Quality Check Algorithm for Particulate Matter (PM10) by Analysis of Instrument Status Code".ATMOSPHERE-KOREA 29.4(2019):501-509.