Identification of pollution sources and classification of apulia region groundwaters by multivariate statistical methods and neural networks

Transactions of the ASABE

Volumn 56, Issue 6, 2013, Pages 1377-1386

  Ielpo, P ^a   Cassano, D ^a   Uricchio, V F ^a   Lopez, A ^a   Pappagallo, G ^a   Trizio, L ^b   De Gennaro, G ^c  

^a CNR   (Italy)

^b ARPA Puglia Regional Agency for Environmental Prevention and Protection   (Italy)

^c UNIVERSITY OF BARI   (Italy)

Author keywords

Classification; Cluster analysis; Discriminant function analysis; Forecasting; Groundwaters; Neural networks; Principal component analysis; Source apportionment

Indexed keywords

DISCRIMINANT FUNCTION ANALYSIS; ELECTRICAL CONDUCTIVITY; FERTILIZER APPLICATIONS; MULTIVARIATE STATISTICAL METHOD; MULTIVARIATE STATISTICAL TECHNIQUES; RADIAL BASIS FUNCTION NEURAL NETWORKS; SOURCE APPORTIONMENT; TOTAL DISSOLVED SOLIDS;

BIOCHEMICAL OXYGEN DEMAND; CLASSIFICATION (OF INFORMATION); CLUSTER ANALYSIS; DISCRIMINANT ANALYSIS; FORECASTING; GROUNDWATER; IRRIGATION; MARINE APPLICATIONS; MARINE POLLUTION; MULTIVARIANT ANALYSIS; NEURAL NETWORKS; POLLUTION; PRINCIPAL COMPONENT ANALYSIS; RADIAL BASIS FUNCTION NETWORKS; SODIUM;

LOADING;

ARTIFICIAL NEURAL NETWORK; CLUSTER ANALYSIS; DATA SET; DISCRIMINANT ANALYSIS; GROUNDWATER POLLUTION; GROUNDWATER RESOURCE; MULTIVARIATE ANALYSIS; POLLUTANT SOURCE; PRINCIPAL COMPONENT ANALYSIS; SAMPLING;

APULIAN PLATEAU; IONIAN SEA; MEDITERRANEAN SEA;

EID: 84891423306     PISSN: 21510032     EISSN: None     Source Type: Journal    
DOI: 10.13031/trans.56.9976     Document Type: Article

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