Estimating airborne pollutant concentrations in vegetated urban sites using statistical models with microclimate and urban geometry parameters as predictor variables: A case study in the city of Athens Greece

Journal of Environmental Science and Health - Part A Toxic/Hazardous Substances and Environmental Engineering

Volumn 44, Issue 14, 2009, Pages 1496-1502

  Tsiros, Ioannis X ^a   Dimopoulos, Ioannis F ^b   Chronopoulos, Kostas I ^a   Chronopoulos, Georgios ^c  

^a AGRICULTURAL UNIVERSITY OF ATHENS   (Greece)

^b TECHNOLOGICAL EDUCATIONAL INSTITUTE OF KALAMATA   (Greece)

^c NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Artificial neural networks; Environmental management; Estimation; Model; Prediction; Regression tree model; Urban green; Urban microclimate; Urban vegetation

Indexed keywords

ADJACENT BUILDINGS; AIRBORNE POLLUTANTS; ARTIFICIAL NEURAL NETWORK MODELS; DEPOSITION MODELS; INTERACTION TERM; MEAN DENSITY; NON-LINEAR MODEL; NON-LINEAR RELATIONSHIPS; POLLUTANT CONCENTRATION; PREDICTOR VARIABLES; REGRESSION TREE MODELS; STATISTICAL MODELS; TREE REGRESSION; URBAN AREAS; URBAN GEOMETRY; URBAN GREEN; URBAN LANDSCAPE; URBAN MICROCLIMATE; URBAN SITE; URBAN VEGETATION; WIND CONDITIONS;

CADMIUM; COMPUTER SIMULATION; ENVIRONMENTAL MANAGEMENT; ESTIMATION; FORECASTING; FORESTRY; MATHEMATICAL MODELS; MODELS; NEURAL NETWORKS;

VEGETATION;

CADMIUM;

AIR POLLUTANT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; CITY; CLIMATE; CYNODON; ENVIRONMENTAL MONITORING; GREECE; METHODOLOGY; STATISTICAL MODEL;

AIR POLLUTANTS; CADMIUM; CITIES; CLIMATE; CYNODON; ENVIRONMENTAL MONITORING; GREECE; LINEAR MODELS; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER);

EID: 77952575830     PISSN: 10934529     EISSN: 15324117     Source Type: Journal    
DOI: 10.1080/10934520903263256     Document Type: Article

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