A model supported by GIS for locating and quantifying PM2.5 emission originated from residential wood burning

Journal of Environmental Sciences

Volumn 17, Issue 5, 2005, Pages 861-865

  Zhou, De Min ^a,b   Radke, John ^b   Tian, Yong Qian ^b   Xu, Jian Chun ^b   Mu, Lan ^b  

^a NORTHEAST INSTITUTE OF GEOGRAPHY AND AGRICULTURAL ECOLOGY   (China)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Demographical characteristies; Geographic information system (GIS); PM2.5; Residential wood burning (RWB); Stepwise linear regression

Indexed keywords

AIR QUALITY; COMBUSTION; FORESTRY; GEOGRAPHIC INFORMATION SYSTEMS; MATHEMATICAL MODELS; REGRESSION ANALYSIS; WOOD;

DEMOGRAPHICAL CHARACTERISTICS; RESIDENTIAL WOOD BURNING (RWB); STEPWISE LINEAR REGRESSION;

PARTICULATE EMISSIONS;

AIR QUALITY; COMBUSTION; FORESTRY; GEOGRAPHIC INFORMATION SYSTEMS; MATHEMATICAL MODELS; PARTICULATE EMISSIONS; REGRESSION ANALYSIS; WOOD;

BURNING; EMISSION; GIS; SPATIAL ANALYSIS;

AIR POLLUTANT; AIR POLLUTION; ARTICLE; CLIMATE; COMPARATIVE STUDY; DEMOGRAPHY; ENVIRONMENT; GEOGRAPHIC INFORMATION SYSTEM; GEOGRAPHY; STATISTICAL MODEL; STATISTICS; THEORETICAL MODEL; UNITED STATES; WOOD;

AIR POLLUTANTS; AIR POLLUTION; CALIFORNIA; CLIMATE; DEMOGRAPHY; ENVIRONMENT; GEOGRAPHIC INFORMATION SYSTEMS; GEOGRAPHY; LINEAR MODELS; MODELS, THEORETICAL; WOOD;

AIR QUALITY; COMBUSTION; FORESTS; INFORMATION SYSTEMS; MATHEMATICAL MODELS; PARTICULATE EMISSIONS; REGRESSION ANALYSIS; WOOD;

EID: 30744473219     PISSN: 10010742     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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