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
  • [41] Flood-induced ground effects and flood-water dynamics for hydro-geomorphic hazard assessment: the 21-22 October 2019 extreme flood along the lower Orba River (Alessandria, NW Italy)
    Mandarino, Andrea
    Luino, Fabio
    Faccini, Francesco
    JOURNAL OF MAPS, 2021, 17 (03): : 136 - 151
  • [42] Analysis of Spatial-Temporal Variations of Surface Water Quality in the Southern Province of Vietnamese Mekong Delta Using Multivariate Statistical Analysis
    Tran Thi Kim Hong
    Le Hoang Viet
    Nguyen Thanh Giao
    JOURNAL OF ECOLOGICAL ENGINEERING, 2022, 23 (07): : 1 - 9
  • [43] Studying the effect of climate elements variability on surface water runoff and infiltration rate in Babylon province by using statistical analysis
    Al-humairi, Basima Abbas Jabir
    Rahal, Nadhum Shamkhi
    Alalwan, Hayder A.
    INTERNATIONAL JOURNAL OF HYDROLOGY SCIENCE AND TECHNOLOGY, 2023, 16 (02) : 107 - 121
  • [44] Simulation and analysis of spatial distribution characteristics of strong ground motions by the 2021 Yangbi, Yunnan Province MS6.4 earthquake
    Zhou, Hong
    Li, Yanan
    Chang, Ying
    Acta Geophysica Sinica, 2021, 64 (12): : 4526 - 4537
  • [45] Spatial distribution analysis and driving factors of traditional villages in Henan province: a comprehensive approach via geospatial techniques and statistical models
    Liu, Wenxiang
    Xue, Ying
    Shang, Cun
    HERITAGE SCIENCE, 2023, 11 (01)
  • [46] Spatial distribution analysis and driving factors of traditional villages in Henan province: a comprehensive approach via geospatial techniques and statistical models
    Wenxiang Liu
    Ying Xue
    Cun Shang
    Heritage Science, 11
  • [47] Spatial analysis and human health risk assessment of elements in ground water of District Hyderabad, Pakistan using ArcGIS and multivariate statistical analysis
    Bux, Raja Karim
    Haider, Syed Iqleem
    Mallah, Arfana
    Shah, Zia-ul-Hassan
    Solangi, Amber R.
    Moradi, Omid
    Karimi-Maleh, Hassan
    ENVIRONMENTAL RESEARCH, 2022, 210
  • [48] Biologic impact on the coastal belt of the province of Venice (Italy, Northern Adriatic Sea): preliminary analysis for the characterization of the bathing water profile
    Ostoich, Marco
    Aimo, Emilia
    Fassina, Daniel
    Barbaro, Jvan
    Vazzoler, Marina
    Soccorso, Corrado
    Rossi, Chiara
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2011, 18 (02) : 247 - 259
  • [49] Biologic impact on the coastal belt of the province of Venice (Italy, Northern Adriatic Sea): preliminary analysis for the characterization of the bathing water profile
    Marco Ostoich
    Emilia Aimo
    Daniel Fassina
    Jvan Barbaro
    Marina Vazzoler
    Corrado Soccorso
    Chiara Rossi
    Environmental Science and Pollution Research, 2011, 18 : 247 - 259
  • [50] Statistical Analysis of Ground Motions Estimated on the Basis of a Recipe for Strong-motion Prediction: Approach to Quantitative Evaluation of Average and Standard Deviation of Ground Motion Distribution
    Yamada, Masayuki
    Senna, Shigeki
    Fujiwara, Hiroyuki
    PURE AND APPLIED GEOPHYSICS, 2011, 168 (1-2) : 141 - 153