Statistical analysis of ground water distribution in Alessandria Province (Piedmont-Italy)

被引:11
|
作者
Marengo, Emilio [1 ]
Gennaro, Maria Carla [1 ]
Robotti, Elisa [1 ]
Maiocchi, Alessandro [2 ]
Pavese, Giuseppina [3 ]
Indaco, Alessia [3 ]
Rainero, Alberto [3 ]
机构
[1] Univ Piemonte Orientale, Dept Environm & Life Sci, I-15100 Alessandria, Italy
[2] Bracco Imaging Spa, I-20134 Milan, Italy
[3] ARPA, I-15100 Alessandria, Italy
关键词
ground water distribution; Kriging methods; principal component analysis; multivariate analysis;
D O I
10.1016/j.microc.2007.11.011
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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-, 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. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:167 / 177
页数:11
相关论文
共 50 条
  • [31] Multivariate statistical analysis supporting the hydrochemical characterization of groundwater and surface water: a case study in northern Italy
    Rotiroti, Marco
    Zanotti, Chiara
    Fumagalli, Letizia
    Taviani, Sara
    Stefania, Gennaro A.
    Patelli, Martina
    Nava, Veronica
    Soler, Valentina
    Sacchi, Elisa
    Leoni, Barbara
    RENDICONTI ONLINE SOCIETA GEOLOGICA ITALIANA, 2019, 47 : 90 - 96
  • [32] Irrigation Scheme Selection Based on Water Footprint Analysis of Winter Wheat Production in Piedmont Plains of Hebei Province under Future Climate Scenarios
    Shi, Zheng
    Cui, Tingru
    Sun, Xiaonuo
    Wang, Haifeng
    Tao, Peijun
    WATER, 2021, 13 (19)
  • [33] GIS-Based Statistical Analysis of Population Spatial Distribution Patterns-Taking Gansu Province as an Example
    Shi Pei-Ji
    Wang Bao
    Kang Jian-fang
    2011 INTERNATIONAL CONFERENCE ON PHOTONICS, 3D-IMAGING, AND VISUALIZATION, 2011, 8205
  • [34] A statistical analysis of the distribution of convective windstorms and their radar characteristics in Hubei Province. China. Part 2
    Wang, Jue
    Xiao, Yanjiao
    Leng, Liang
    WEATHER, 2023, 78 (03) : 87 - 90
  • [35] Statistical analysis of water distribution networks design using Shuffled Frog Leaping Algorithm
    Mora-Melia, Daniel
    Iglesias-Rey, Pedro L.
    Bosque-Chacon, Gabriel
    Amparo Lopez-Jimenez, P.
    ENVIRONMENTAL HYDRAULICS: THEORETICAL, EXPERIMENTAL AND COMPUTATIONAL SOLUTIONS, 2010, : 327 - 331
  • [36] Geochemical, geostatistical and time series analysis techniques as a tool to achieve the Water Framework Directive goals: An example from Piedmont region (NW Italy)
    Raco, Brunella
    Vivaldo, Gianna
    Doveri, Marco
    Menichini, Matia
    Masetti, Giulio
    Battaglini, Raffaele
    Irace, Andrea
    Fioraso, Gianfranco
    Marcelli, Igor
    Brussolo, Elisa
    JOURNAL OF GEOCHEMICAL EXPLORATION, 2021, 229
  • [37] Multivariate Statistical Analysis of Hydrochemical Data for Shallow Ground Water Quality Factor Identification in a Coastal Aquifer
    Yang, Qingchun
    Zhang, Jianing
    Wang, Yanli
    Fang, Yanna
    Delgado Martin, Jordi
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2015, 24 (02): : 769 - 776
  • [38] A conceptual and statistical approach for the analysis of climate impact on ground water table fluctuation patterns in cold conditions
    Okkonen, Jarkko
    Klove, Bjorn
    JOURNAL OF HYDROLOGY, 2010, 388 (1-2) : 1 - 12
  • [39] Surface water quality analysis using multivariate statistical techniques: a case study of Fars Province rivers, Iran
    Zeynab Ghaemi
    Masoud Noshadi
    Environmental Monitoring and Assessment, 2022, 194
  • [40] Surface water quality analysis using multivariate statistical techniques: a case study of Fars Province rivers, Iran
    Ghaemi, Zeynab
    Noshadi, Masoud
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2022, 194 (03)