TY - JOUR
T1 - Statistical analysis of ground water distribution in Alessandria Province (Piedmont-Italy)
AU - Marengo, Emilio
AU - Gennaro, Maria Carla
AU - Robotti, Elisa
AU - Maiocchi, Alessandro
AU - Pavese, Giuseppina
AU - Indaco, Alessia
AU - Rainero, Alberto
PY - 2008/4
Y1 - 2008/4
N2 - 29 chemical and physical-chemical features of water samples from 44 wells were analysed by multivariate statistical tools to provide the characterisation of the ground water distribution of the North-West area of Alessandria province (Piedmont-Italy). The 29 parameters determined include: temperature, pH, conductivity, dissolved oxygen, suspended solids, COD, total hardness, total phenols, fats and oils, non-ionic surfactants, chlorinated solvents, total chromium, P2O5 and several cations and anions (NO3-, NH4+, Ca2+, Na+, K+, Mg2+, Cl-, SO42-, SO32-, S2-, Fe3+, Mn2+, Zn2+, Al3+, Ni2+, Pb2+). The sampling took place during the spring and summer 2001. The use of Principal Component Analysis together with refined mapping tools (kriging methods) provided a description of the area investigated with respect to the characteristics of the subterranean waters. A significant difference in water composition has been highlighted between small villages (with a probable human polluting effect) and zones far from the built-up areas. Cluster analysis was also performed in order to evaluate the different wells similarity and confirmed the results obtained by Principal Component Analysis.
AB - 29 chemical and physical-chemical features of water samples from 44 wells were analysed by multivariate statistical tools to provide the characterisation of the ground water distribution of the North-West area of Alessandria province (Piedmont-Italy). The 29 parameters determined include: temperature, pH, conductivity, dissolved oxygen, suspended solids, COD, total hardness, total phenols, fats and oils, non-ionic surfactants, chlorinated solvents, total chromium, P2O5 and several cations and anions (NO3-, NH4+, Ca2+, Na+, K+, Mg2+, Cl-, SO42-, SO32-, S2-, Fe3+, Mn2+, Zn2+, Al3+, Ni2+, Pb2+). The sampling took place during the spring and summer 2001. The use of Principal Component Analysis together with refined mapping tools (kriging methods) provided a description of the area investigated with respect to the characteristics of the subterranean waters. A significant difference in water composition has been highlighted between small villages (with a probable human polluting effect) and zones far from the built-up areas. Cluster analysis was also performed in order to evaluate the different wells similarity and confirmed the results obtained by Principal Component Analysis.
KW - Ground water distribution
KW - Kriging methods
KW - Multivariate analysis
KW - Principal Component Analysis
UR - http://www.scopus.com/inward/record.url?scp=39149125103&partnerID=8YFLogxK
U2 - 10.1016/j.microc.2007.11.011
DO - 10.1016/j.microc.2007.11.011
M3 - Article
SN - 0026-265X
VL - 88
SP - 167
EP - 177
JO - Microchemical Journal
JF - Microchemical Journal
IS - 2
ER -