Evaluation of PM10 forecasting based on the artificial neural network model and intake fraction in an urban area: A case study in Taiyuan City, China

Journal of the Air and Waste Management Association

Volumn 63, Issue 7, 2013, Pages 755-763

  Zhang, Hong ^a   Liu, Yong ^a   Shi, Rui ^a   Yao, Qingchen ^b  

^a SHANXI UNIVERSITY   (China)

^b Taiyuan Environment Monitoring Central Station   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AIR QUALITY; BACKPROPAGATION; EMISSION CONTROL; ENVIRONMENTAL PROTECTION AGENCY; HEALTH; HEALTH RISKS; NEURAL NETWORKS; PARTICLES (PARTICULATE MATTER); POPULATION STATISTICS; RISK PERCEPTION; WIND;

AIR QUALITY PARAMETERS; ARTIFICIAL NEURAL NETWORK MODELING; BACK PROPAGATION ARTIFICIAL NEURAL NETWORK (BPANN); CORRELATION COEFFICIENT; FINE PARTICULATE MATTER; TEMPERATURE AND HUMIDITIES; TEMPORAL AND SPATIAL DISTRIBUTION; U.S. ENVIRONMENTAL PROTECTION AGENCY;

SPATIAL DISTRIBUTION;

AIR POLLUTION; AIR QUALITY; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC DIFFUSION; BACK PROPAGATION; CHINA; ELECTRIC POWER PLANT; ENVIRONMENTAL MONITORING; ENVIRONMENTAL PLANNING; ENVIRONMENTAL PROTECTION; EXHAUST GAS; HEALTH HAZARD; INDUSTRY; PARTICULATE MATTER; POLLUTANT; POLLUTION CONTROL; POLLUTION MONITORING; POPULATION DENSITY; POPULATION RISK; PREDICTION; PRIORITY JOURNAL; SUSPENDED PARTICULATE MATTER; TRAFFIC; URBAN AREA; AIR POLLUTANT; CITY; DOSE RESPONSE; ENVIRONMENTAL EXPOSURE; EVALUATION; HUMAN; HUMIDITY; METHODOLOGY; PARTICLE SIZE; SEASON; TEMPERATURE; THEORETICAL MODEL; WIND;

AIR POLLUTANTS; CHINA; CITIES; DOSE-RESPONSE RELATIONSHIP, DRUG; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL MONITORING; HUMANS; HUMIDITY; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); PARTICLE SIZE; PARTICULATE MATTER; SEASONS; TEMPERATURE; WIND;

EID: 84881631778     PISSN: 10962247     EISSN: None     Source Type: Journal    
DOI: 10.1080/10962247.2012.755940     Document Type: Article

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