Spatial and temporal characteristics of particulate matter in Beijing, China using the Empirical Mode Decomposition method

Science of the Total Environment

Volumn 458-460, Issue , 2013, Pages 70-80

  Hu, Maogui ^a   Jia, Lin ^b   Wang, Jinfeng ^a   Pan, Yuepeng ^c  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b CHINESE RESEARCH ACADEMY OF ENVIRONMENTAL SCIENCES   (China)

^c INSTITUTE OF ATMOSPHERIC PHYSICS   (China)

Author keywords

Air pollution; Empirical Mode Decomposition; Kernel analysis; Particulate matter; Spatiotemporal distribution

Indexed keywords

AIR-POLLUTION MONITORING STATIONS; EMPIRICAL MODE DECOMPOSITION; EMPIRICAL MODE DECOMPOSITION METHOD; KERNEL ANALYSIS; KERNEL K-MEANS METHODS; PARTICULATE MATTER; SPATIOTEMPORAL DISTRIBUTIONS; TEMPORAL CHARACTERISTICS;

SIGNAL PROCESSING;

AIR POLLUTION;

ATMOSPHERIC POLLUTION; CONCENTRATION (COMPOSITION); DECOMPOSITION ANALYSIS; EMPIRICAL ANALYSIS; PARTICULATE MATTER; SPATIOTEMPORAL ANALYSIS; SUBURBAN AREA;

AIR POLLUTANT; AIR QUALITY; ARTICLE; CHINA; CONCENTRATION (PARAMETERS); DATA ANALYSIS; EMPIRICAL MODE DECOMPOSITION METHOD; KERNEL METHOD; MATHEMATICAL ANALYSIS; PARTICULATE MATTER; POLLUTION MONITORING; PRIORITY JOURNAL; SEASONAL VARIATION; SPATIOTEMPORAL ANALYSIS; SPRING; SUBURBAN AREA; SUMMER; TREND STUDY; WINTER;

AIR POLLUTION; CHINA; CITIES; CLUSTER ANALYSIS; ENVIRONMENTAL MONITORING; PARTICULATE MATTER;

BEIJING [CHINA]; CHINA; MIYUN RESERVOIR;

EID: 84877126511     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2013.04.005     Document Type: Article

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