Research and application of a hybrid model based on dynamic fuzzy synthetic evaluation for establishing air quality forecasting and early warning system: A case study in China

Environmental Pollution

Volumn 223, Issue , 2017, Pages 435-448

  Xu, Yunzhen ^a   Du, Pei ^b   Wang, Jianzhou ^b  

^a LANZHOU UNIVERSITY   (China)

^b DONGBEI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

Author keywords

Emissions distribution evaluation; Forecasting and early warning system; Fuzzy synthetic evaluation; Hybrid forecasting model; Interval forecasting

Indexed keywords

AIR QUALITY; DECISION MAKING; DISTRIBUTION FUNCTIONS; FORECASTING; FUZZY SET THEORY; POLLUTION DETECTION;

COMPREHENSIVE EVALUATION; EFFECTIVENESS AND EFFICIENCIES; FORECASTING AND EARLY WARNINGS; FUZZY SYNTHETIC EVALUATION; HYBRID FORECASTING; INTERVAL FORECASTING; RESEARCH AND APPLICATION; UNCERTAINTY INFORMATIONS;

QUALITY CONTROL;

AIR QUALITY; ATMOSPHERIC POLLUTION; DECISION MAKING; EARLY WARNING SYSTEM; FORECASTING METHOD; FUZZY MATHEMATICS; POLLUTION CONTROL; POLLUTION MONITORING; PUBLIC HEALTH;

AIR POLLUTANT; AIR QUALITY; CHINA; EXPERIMENTAL MODEL; FORECASTING; HUMAN; MONITORING; AIR POLLUTION; ANALYSIS; ENVIRONMENTAL MONITORING; FUZZY LOGIC; METHODOLOGY; PARTICULATE MATTER; PREVENTION AND CONTROL; PROCEDURES; RESEARCH; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL; URBANIZATION;

CHINA;

AIR POLLUTANT; PARTICULATE MATTER;

AIR POLLUTANTS; AIR POLLUTION; CHINA; ENVIRONMENTAL MONITORING; FORECASTING; FUZZY LOGIC; HUMANS; MODELS, THEORETICAL; PARTICULATE MATTER; RESEARCH; RESEARCH DESIGN; URBANIZATION;

EID: 85010000802     PISSN: 02697491     EISSN: 18736424     Source Type: Journal    
DOI: 10.1016/j.envpol.2017.01.043     Document Type: Article

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