Risk assessment of ambient air quality by stochastic-based fuzzy approaches

Environmental Engineering Science

Volumn 27, Issue 3, 2010, Pages 233-246

  Ping, Jing ^a   Chen, Bing ^a,b   Husain, Tahir ^a  

^a MEMORIAL UNIVERSITY OF NEWFOUNDLAND   (Canada)

^b NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Air quality management; Fuzzy rule based system; Monte Carlo simulation; Possibilistic uncertainty; Probabilistic uncertainty; Risk assessment

Indexed keywords

AIR QUALITY MODELING; AMBIENT AIR QUALITY; ASSESSMENT APPROACHES; DISPERSION MODELING; EFFECTIVE TOOL; ENVIRONMENTAL GUIDELINES; FUZZY APPROACH; FUZZY MEMBERSHIP FUNCTION; FUZZY RISK; FUZZY RULE-BASED SYSTEMS; HEALTH EVALUATION; LAND COVER; MONTE CARLO SIMULATION; POSSIBILISTIC; PROBABILISTIC UNCERTAINTY; QUESTIONNAIRE SURVEYS; RISK LEVELS; RULE BASIS; STOCHASTIC SIMULATIONS;

AIR QUALITY; COMPUTER SIMULATION; FUZZY LOGIC; FUZZY RULES; HEALTH RISKS; MEMBERSHIP FUNCTIONS; MONTE CARLO METHODS; QUALITY CONTROL; QUALITY MANAGEMENT; RISK MANAGEMENT; RISK PERCEPTION; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; SULFUR; SULFUR DIOXIDE; SURVEYS;

RISK ASSESSMENT;

SULFUR DIOXIDE;

AIR QUALITY; AIR QUALITY CONTROL; AMBIENT AIR; ARTICLE; DECISION MAKING; DISPERSION; FUZZY LOGIC; HEALTH HAZARD; LAND USE; PROBABILITY; QUESTIONNAIRE; RISK ASSESSMENT; SIMULATION; STOCHASTIC MODEL;

EID: 77949862067     PISSN: 10928758     EISSN: None     Source Type: Journal    
DOI: 10.1089/ees.2009.0350     Document Type: Article

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