Spatial-temporal patterns of PM2.5 concentrations for 338 Chinese cities

Science of the Total Environment

Volumn 631-632, Issue , 2018, Pages 524-533

  Ye, Wei Feng ^a   Ma, Zhong Yu ^a,b   Ha, Xiu Zhen ^a  

^a RENMIN UNIVERSITY OF CHINA   (China)

^b Economic Forecasting Department   (China)

Author keywords

China; PM2.5 concentrations; Spatial autocorrelation; Spatial temporal patterns

Indexed keywords

AIR POLLUTION; AIR QUALITY; AUTOCORRELATION; POLLUTION; STORMS; WIND;

AERODYNAMIC DIAMETERS; CHINA; EXPLORATORY SPATIAL DATA ANALYSIS; METEOROLOGICAL ELEMENTS; METEOROLOGICAL FACTORS; PM2.5 CONCENTRATION; SPATIAL AUTOCORRELATIONS; SPATIAL TEMPORALS;

SPATIAL VARIABLES MEASUREMENT;

ATMOSPHERIC POLLUTION; AUTOCORRELATION; CONCENTRATION (COMPOSITION); DUST; PARTICULATE MATTER; SMOKE; SPATIOTEMPORAL ANALYSIS; TREND ANALYSIS;

AIR POLLUTION; ARTICLE; CHINA; CIRCADIAN RHYTHM; CLUSTER ANALYSIS; CONCENTRATION (PARAMETERS); DATA ANALYSIS; DUST; ENVIRONMENTAL MONITORING; ENVIRONMENTAL TEMPERATURE; HUMIDITY; MATHEMATICAL ANALYSIS; PARTICLE SIZE; PARTICULATE MATTER; PRIORITY JOURNAL; SEASONAL VARIATION; SMOKE; SPATIAL AUTOCORRELATION ANALYSIS; SPATIOTEMPORAL ANALYSIS; TIME; WIND; AUTOCORRELATION; CITY; MENTAL CAPACITY; WEATHER; WIND SPEED; XINJIANG;

BEIJING [BEIJING (ADS)]; BEIJING [CHINA]; CHINA; HEBEI; TIANJIN; XINJIANG UYGUR;

EID: 85043376480     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2018.03.057     Document Type: Article

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