Implementing GIS regression trees for generating the spatial distribution of copper in Mediterranean environments: The case study of Lebanon

International Journal of Environmental Analytical Chemistry

Volumn 93, Issue 1, 2013, Pages 75-92

  Kheir, Rania Bou ^a,b   Greve, Mogens H ^a   Deroin, Jean Paul ^c   Rebai, Noamen ^d  

^a AARHUS UNIVERSITY   (Denmark)

^b LEBANESE UNIVERSITY   (Lebanon)

^c Centre de Recherches en Environnement et Agronomie   (France)

^d FACULTÉ DES SCIENCES DE TUNIS   (Tunisia)

Author keywords

Cu concentration; GIS regression trees; heavy metals; Lebanon; Mediterranean environments; soil pollution

Indexed keywords

ANCILLARY DATA; ATMOSPHERIC DEPOSITIONS; COASTAL AREA; COASTAL LANDSCAPES; CONCENTRATION LEVELS; DEVELOPMENT PROJECT; DIGITAL ELEVATION MODEL; ENVIRONMENTAL CONDITIONS; ENVIRONMENTAL PARAMETER; FIELD OBSERVATIONS; HUMAN ACTIVITIES; INDUSTRIAL EFFLUENT; LABORATORY MEASUREMENTS; LAND COVER/USE; LEBANON; LOCAL GOVERNMENT; MEDITERRANEAN ENVIRONMENT; PARENT MATERIALS; REGRESSION TREE MODELS; REGRESSION TREES; SLOPE ASPECT; SLOPE GRADIENTS; SOIL CONTAMINATION; SOIL DEPTH; SOIL PARAMETERS; SOIL PH; SOIL TYPES; TERMINAL NODES; TREE MODELS; TREE-BASED REGRESSION; VEHICULAR EMISSION;

COASTAL ZONES; FORESTRY; GEOGRAPHIC INFORMATION SYSTEMS; GEOLOGIC MODELS; HEAVY METALS; METEOROLOGICAL PROBLEMS; REGRESSION ANALYSIS; RESEARCH LABORATORIES; SATELLITE IMAGERY; SEWAGE SLUDGE; SOIL POLLUTION; SOILS; SPATIAL DISTRIBUTION;

COPPER;

COASTS; CONCENTRATION; COPPER; GIS; HEAVY METALS; LEBANON; REGRESSION ANALYSIS; RESEARCH; SATELLITES; SOIL;

EID: 84872583096     PISSN: 03067319     EISSN: 10290397     Source Type: Journal    
DOI: 10.1080/03067319.2011.603079     Document Type: Article

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