Combined Use of Multivariate Statistical Analysis and Hydrochemical Analysis for Groundwater Quality Evolution: A Case Study in North Chain Plain

Rong Ma; Jiansheng Shi; Jichao Liu; Chunlei Gui

doi:10.1007/s12583-014-0446-2

Volume 25 Issue 3

Jun 2014

Turn off MathJax

Article Contents

Journal of Earth Science > 2014 > 25(3): 587-597.

Rong Ma, Jiansheng Shi, Jichao Liu, Chunlei Gui. Combined Use of Multivariate Statistical Analysis and Hydrochemical Analysis for Groundwater Quality Evolution: A Case Study in North Chain Plain. Journal of Earth Science, 2014, 25(3): 587-597. doi: 10.1007/s12583-014-0446-2

Citation:

Rong Ma, Jiansheng Shi, Jichao Liu, Chunlei Gui. Combined Use of Multivariate Statistical Analysis and Hydrochemical Analysis for Groundwater Quality Evolution: A Case Study in North Chain Plain. Journal of Earth Science, 2014, 25(3): 587-597. doi: 10.1007/s12583-014-0446-2

Citation:

Rong Ma, Jiansheng Shi, Jichao Liu, Chunlei Gui. Combined Use of Multivariate Statistical Analysis and Hydrochemical Analysis for Groundwater Quality Evolution: A Case Study in North Chain Plain. Journal of Earth Science, 2014, 25(3): 587-597. doi: 10.1007/s12583-014-0446-2

PDF( 1241 KB)

Combined Use of Multivariate Statistical Analysis and Hydrochemical Analysis for Groundwater Quality Evolution: A Case Study in North Chain Plain

doi: 10.1007/s12583-014-0446-2

Institute of Hydrogeology and Environmental Geology, Shijiazhuang 050061, China

More Information

Corresponding author: Jiansheng Shi, tiger7886@gmail.com
Received Date: 13 Jun 2013
Accepted Date: 25 Oct 2013
Publish Date: 01 Jun 2014

Abstract

Abstract

Understanding the controlling factor of groundwater quality can enhance promoting sustainable development of groundwater resources. To this end, multivariate statistical analysis (MA) and hydrochemical analysis were introduced in this work. The results indicate that the canonical discriminant function with 7 parameters was established using the discriminant analysis (DA) method, which can afford 100% correct assignation according to the 3 different clusters (good water (GW), poor water (PW), and very poor water (VPW)) obtained from cluster analysis (CA). According to factor analysis (FA), 8 factors were extracted from 25 hydrochemical elements and account for 80.897% of the total data variance, suggesting that groundwater with higher concentrations of sodium, calcium, magnesium, chloride, and sulfate in southeastern study area are mainly affected by the natural process; the higher level of arsenic and chromium in groundwater extracted from northwestern part of study area are derived by industrial activities; domestic and agriculture sewage have important contribution to copper, iron, iodine, and phosphate in the northern study area. Therefore, this work can help identify the main controlling factor of groundwater quality in North China plain so as to make better and more informed decisions about how to achieve groundwater resources sustainable development.
- factor,
- groundwater quality,
- hydrochemical variable,
- industrial activity,
- multivariate statistical analysis

FullText(HTML)

References(43)

References

Ariyibi, E. A., Folami, S. L., Ako, B. D., et al., 2010. Application of the Principal Component Analysis on Geochemical Aata: A Case Study in the Basement Complex of Southern Ilesa Area, Nigeria. Arabian Journal of Geosciences, 4(1–2): 239–247, doi: 10.1007/s12517-010-0175-5

Aryafar, A., Doulati, A. F., 2011. R-Mod Factor Analysis, a Popular Multivariate Statistical Technique to Evaluate Water Quality in Khaf-Sangan Basin, Mashhad, Northeast of Iran. Arabian Journal of Geosciences, 6(3): 893–900, doi: 10.1007/s12517-011-0367-7

Batayneh, A. T., 2012. Toxic (Aluminum, Beryllium, Boron, Chromium and Zinc) in Groundwater: Health Risk Assessment. International Journal of Environmental Science and Technology, 9(1): 153–162, doi: 10.1007/s13762-011-0009-3

Cartwright, I., Weaver, T. R., Fifield, L. K., 2006. Cl/Br Ratios and Environmental Isotopes as Indicators of Recharge Variability and Groundwater Flow: An Example from the Southeast Murray Basin, Australia. Chemical Geology, 231(1–2): 38–56, doi: 10.1016/j.chemgeo.2005.12.009

Christensen, J. B., Botma, J. J., Christensen, T. H., 1999. Complexation of Cu and Pb by DOC in Polluted Groundwater: A Comparison of Experimental Data and Predictions by Computer Speciation Models (WHAM and MINTEQA2). Water Research, 33(15): 3231–3238, doi: 10.1016/S0043-1354(99)00020-2

Dantu, S., 2010. Factor Analysis Applied to a Geochemical Study of Soils from Parts of Medak and Sangareddy Areas, Medak District, Andhra Pradesh, India. Environmental Monitoring and Assessment, 162(1–4): 139–152, doi: 10.1007/s10661-009-0782-3

Dixon, W., Chiswell, B., 1992. The Use of Hydrochemical Sections to Identify Recharge Areas and Saline Intrusions in Alluvial Aquifers, Southeast Queensland, Australia. Journal of Hydrology, 135(1–4): 259–274, doi: 10.1016/0022-1694(92)90091-9

GB/T 5750, 2006. Standard Examination Methods for Drinking Water. Ministry of Public Health of the People's Republic of China, Beijing (in Chinese)

Hamzaoui-Azaza, F., Ketata, M., Bouhlila, R., et al., 2011. Hydrogeochemical Characteristics and Assessment of Drinking Water Quality in Zeuss-Koutine Aquifer, Southeastern Tunisia. Environmental Monitoring and Assessment, 174(1–4): 283–298, doi: 10.1007/s10661-010-1457-9

Hu, Y., Moiwo, J. P., Yang, Y., et al., 2010. Agricultural Water-Saving and Sustainable Groundwater Management in Shijiazhuang Irrigation District, North China Plain. Journal of Hydrology, 393(3–4): 219–232, doi: 10.1016/j.jhydrol.2010.08.017

Jalali, M., 2005. Major Ion Chemistry of Groundwaters in the Bahar Area, Hamadan, Western Iran. Environmental Geology, 47(6): 763–772, doi: 10.1007/s00254-004-1200-3

Jalali, M., 2006. Chemical Characteristics of Groundwater in Parts of Mountainous Region, Alvand, Hamadan, Iran. Environmental Geology, 51(3): 433–446, doi: 10.1007/s00254-006-0338-6

Jalali, M., 2007. Hydrochemical Identification of Groundwater Resources and Their Changes under the Impacts of Human Activity in the Chah Basin in Western Iran. Environmental Monitoring and Assessment, 130(1–3): 347–364, doi: 10.1007/s10661-006-9402-7

Jang, C. S., Chen, J. S., Lin, Y. B., et al., 2012. Characterizing Hydrochemical Properties of Springs in Taiwan Based on Their Geological Origins. Environmental Monitoring and Assessment, 184(1): 63–75, doi: 10.1007/s10661-011-1947-4

Kamble, S. R., Vijay, R., 2011. Assessment of Water Quality Using Cluster Analysis in Coastal Region of Mumbai, India. Environmental Monitoring and Assessment, 178(1–4): 321–332, doi: 10.1007/s10661-010-1692-0

Kannel, P. R., Kanel, S. R., Lee, S., et al., 2011. Chemometrics in Assessment of Seasonal Variation of Water Quality in Fresh Water Systems. Environmental Monitoring and Assessment, 174(1–4): 529–545, doi: 10.1007/s10661-010-1476-6

Kim, K., Rajmohan, N., Kim, H., et al., 2004. Assessment of Groundwater Chemistry in a Coastal Region (Kunsan, Korea) Having Complex Contaminant Sources: A Stoichiometric Approach. Environmental Geology, 46(6–7): 763–774, doi: 10.1007/s00254-004-1109-x

Li, L., Wang, Y. X., Wu, Y., et al., 2013. Major Geochemical Controls on Fluoride Enrichment in Groundwater: A Case Study at Datong Basin, Northern China. Journal of Earth Science, 24(6): 976–986, doi: 10.1007/s12583-013-0385-3

Ma, R., Shi, J. S., Liu, j. C., 2012. Dealing with the Spatial Synthetic Heterogeneity of Aquifers in the North China Plain: A Case Study of Luancheng County in Hebei Province. Acta Geologica Sinica (English Edition), 86(1): 226–245, doi: 10.1111/j.1755-6724.2012.00624.x

Meybeck, M., 1987. Global Chemical Weathering of Surficial Rocks Estimated from River Dissolved Loads. American Journal of Science, 287: 401–428, doi: 10.2475/ajs.287.5.401

Osman, R., Saim, N., Juahir, H., et al., 2012. Chemometric Application in Identifying Sources of Organic Contaminants in Langat River Basin. Environmental Monitoring and Assessment, 184(2): 1001–1014, doi: 10.1007/s10661-011-2016-8

Pang, Z. H., Yuan, L. J., Huang, T. M., et al., 2013. Impacts of Human Activities on the Occurrence of Groundwater Nitrate in an Alluvial Plain: A Multiple Isotopic Tracers Approach. Journal of Earth Science, 24(1): 111–124, doi: 10.1007/s12583-013-0310-9

Phan, K., Sthiannopkao, S., Kim, K. W., et al., 2010. Health Risk Assessment of Inorganic Arsenic Intake of Cambodia Residents through Groundwater Drinking Pathway. Water Research, 44(19): 5777–5788, doi: 10.1016/j.watres.2010.06.021

Rani, N., Sinha, R. K., Prasad, K., et al., 2011. Assessment of Temporal Variation in Water Quality of Some Important Rivers in Middle Gangetic Plains, India. Environmental Monitoring and Assessment, 174(1–4): 401–415, doi: 10.1007/s10661-010-1465-9

Ravindra, K., Stranger, M., Grieken, R. V., 2008. Chemical Characterization and Multivariate Analysis of Atmospheric PM2.5 Particles. Journal of Atmospheric Chemistry, 59(3): 199–218, doi: 10.1007/s10874-008-9102-5

Shi, J., 2007. The Developing Trend of Hydrogeology: A Review of the 34th IAH Congress. Acta Geologica Sinica, 28(6): 509–520, doi: 10.3975/cagsb.2007.06.01 (in Chinese with English Abstract)

Shi, J. S., Wang, Z., Zhang, Z. J., et al., 2011. Assessment of Deep Groundwater Over-Exploitation in the North China Plain. Geoscience Frontiers, 2(4): 593–598, doi: 10.1016/j.gsf.2011.07.002

Stigter, T. Y., Ribeiro, L., Carvalho Dill, A. M. M., 2006. Application of a Groundwater Quality Index as an Assessment and Communication Tool in Agro-Environmental Policies-Two Portuguese Case Studies. Journal of Hydrology, 327(3–4): 578–591, doi: 10.1016/j.jhydrol.2005.12.001

Ujević Bošnjak, M., Capak, K., Jazbec, A., et al., 2012. Hydrochemical Characterization of Arsenic Contaminated Alluvial Aquifers in Eastern Croatia Using Multivariate Statistical Techniques and Arsenic Risk Assessment. Science of the Total Environment, 420: 100–110, doi: 10.1016/j.scitotenv.2012.01.021

Vengosh, A., Keren, R., 1996. Chemical Modifications of Groundwater Contaminated by Recharge of Treated Sewage Effluent. Journal of Contaminant Hydrology, 23(4): 347–360, doi: 10.1016/0169-7722(96)00019-8

Wang, L., Wang, Y. P., Xu, C. X., et al., 2011. Analysis and Evaluation of the Source of Heavy Metals in Water of the River Changjiang. Environmental Monitoring and Assessment, 173(1–4): 301–313, doi: 10.1007/s10661-010-1388-5

Wang, M., Bai, Y. Y., Chen, W. P., et al., 2012. A GIS Technology Based Potential Eco-Risk Assessment of Metals in Urban Soils in Beijing, China. Environmental Pollution, 161: 235–242, doi: 10.1016/j.envpol.2011.09.030

Wang, S. Q., Song, X. F., Wang, Q. X., et al., 2011. Shallow Groundwater Dynamics and Origin of Salinity at Two Sites in Salinated and Water-Deficient Region of North China Plain, China. Environmental Earth Sciences, 66(3): 729–739, doi: 10.1007/s12665-011-1280-9

Wang, Y., Wang, P., Bai, Y., et al., 2013. Assessment of Surface Water Quality via Multivariate Statistical Techniques: A Case Study of the Songhua River Harbin Region, China. Journal of Hydro-Environment Research, 7(1): 30–40, doi: 10.1016/j.jher.2012.10.003

Weng, H. X., Ji, Z. Q., Chu, Y., et al., 2011. Benzene Series in Sewage Sludge from China and Its Release Characteristics during Drying Process. Environmental Earth Sciences, 65(3): 561–569, doi: 10.1007/s12665-011-1100-2

WHO, 2006. Guideline for Drinking Water Quality. World Health Organization, Geneva

Xie, X., Wang, Y. X., Su, C., et al., 2012. Influence of Irrigation Practices on Arsenic Mobilization: Evidence from Isotope Composition and Cl/Br Ratios in Groundwater from Datong Basin, Northern China. Journal of Hydrology, 424: 37–47, doi: 10.1016/j.jhydrol.2011.12.017

Yang, M., Fei, Y. H., Ju, Y. W., et al., 2012. Health Risk Assessment of Groundwater Pollution-A Case Study of Typical City in North China Plain. Journal of Earth Science, 23(3): 335–348, doi: 10.1007/s12583-012-0260-7

Yidana, S. M., Yidana, A., 2010. Assessing Water Quality Using Water Quality Index and Multivariate Analysis. Environmental Earth Sciences, 59(7): 1461–1473, doi: 10.1007/s12665-009-0132-3

Yuan, Z. J., Shen, Y. J., 2013. Estimation of Agricultural Water Consumption from Meteorological and Yield Data: A Case Study of Hebei, North China. Plos One, 8(3): 1–9, doi: 10.1371/journal.pone.0058685

Yu, J. C., Mo, X. X., Yu, X. H., et al., 2012. Geochemical Characteristics and Petrogenesis of Permian Basaltic Rocks in Keping Area, Western Tarim Basin: A Record of Plume-Lithosphere Interaction. Journal of Earth Science, 23(4): 442–454, doi: 10.1007/s12583-012-0267-0

Zhao, Y., Xia, X. H., Yang, Z. F., et al., 2012. Assessment of Water Quality in Baiyangdian Lake Using Multivariate Statistical Techniques. Procedia Environmental Sciences, 13: 1213–1226, doi: 10.1016/j.proenv.2012.01.115

Žibret, G., Šajn, R., 2010. Hunting for Geochemical Associations of Elements: Factor Analysis and Self-Organising Maps. Mathematical Geosciences, 42(6): 681–703, doi: 10.1007/s11004-010-9288-3

Relative Articles

Supplements(0)

Cited By

Proportional views

Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Figures(4) / Tables(3)

Get Citation

PDF

XML

Article Metrics

Article views(1174) PDF downloads(222)

Combined Use of Multivariate Statistical Analysis and Hydrochemical Analysis for Groundwater Quality Evolution: A Case Study in North Chain Plain

doi: 10.1007/s12583-014-0446-2

Abstract

References

Proportional views

Catalog

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Proportional views

Related

Combined Use of Multivariate Statistical Analysis and Hydrochemical Analysis for Groundwater Quality Evolution: A Case Study in North Chain Plain

doi: 10.1007/s12583-014-0446-2

Abstract

References

Proportional views

Catalog

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Proportional views

Related

Export File

Citation

Format

Content