Using Multivariate Statistical Analysis, Geostatistical Techniques and Structural Equation Modeling to Identify Spatial Variability of Groundwater Quality
Tóm tắt
Multivariate statistical analysis, geostatistical techniques and structural equation modeling were used to determine the main factors and mechanisms controlling the spatial variation of groundwater quality in the Ain Azel plain, Algeria. Cluster analysis grouped the sampling wells into two statistically significant clusters based on similarities of groundwater quality characteristics. Principal component and factor analyses (PCA/ FA) revealed that two factors explained around 85 % of the total variance, which water-rock interaction and anthropogenic impact as the dominant factors affecting the groundwater quality. The distribution of factor score one represents high loading for EC, Ca, Mg, Na, K, and SO4 in the western side and south eastern side of the plain, where water-rock interactions are dominate factors influence groundwater quality. Spatial distribution map of factor score 2 indicate that NO3, NO2, NH4, and COD show high concentration in central and southern side of the plain, where anthropogenic impact reduce groundwater quality. Further, one-way analysis of variance (one-way ANOVA) showed that the mean differences between cluster one and two show significantly differences for some water quality parameters including EC, Ca, Mg, Na, K, Cl, and SO4. Structural equation modeling (SEM) confirmed the finding of multivariate analysis. This study provides a new technique of confirming exploratory data analysis using SEM in groundwater quality.
Tài liệu tham khảo
Agoubi B, Kharroubi A, Abida H (2013) Hydrochemistry of groundwater and its assessment for irrigation purpose in coastal Jeffara Aquifer, southeastern Tunisia. Arab J Geosci 6(4):1163–1172
Ahmadi SH, Sedghamiz A (2007) Geostatistical analysis of spatial and temporal variations of groundwater level. Environ Monit Assess 129(1–3):277–294
Anderson JC, Gerbing DW (1988) Structural equation modeling in practice: a review and recommended two-step approach. Psychol Bull 103:411
APHA (1995) Standard methods for the examination of water and wastewater, 19th edn. American Public Health Association, Washington
Arbuckle JL (2012) IBM SPSS Amos 21 user’s guide. IBM Corporation, Armonk
Assaf H, Saadeh M (2009) Geostatistical assessment of groundwater nitrate contamination with reflection on DRASTIC vulnerability assessment: the case of the Upper Litani Basin, Lebanon. Water Resour Manag 23(4):775–796
Awadallah AG, Yousry M (2012) Identifying homogeneous water quality regions in the Nile River using multivariate statistical analysis. Water Resour Manag 26(7):2039–2055
Babiker IS, Mohamed MAA, Hiyama T (2007) Assessing groundwater quality using GIS. Water Resour Manag 21:699–715
Bayard B, Jolly C (2007) Environmental behavior structure and socio-economic conditions of hillside farmers: a multiple-group structural equation modeling approach. Ecol Econ 62:433–440
Belkhiri L (2005) Hydrogeologic study and problem of the groundwater quality in Ain Azel plain, Sétif, East Algerian. Thesis, University of Batna, Algeria, pp. 170.
Belkhiri L, Mouni L (2014) Geochemical characterization of surface water and groundwater in Soummam Basin, Algeria. Nat Resour Res 23(4):393–407
Belkhiri L, Boudoukha A, Mouni L, Baouz T (2010) Application of multivariate statistical methods and inverse geochemical modeling for characterization of groundwater a case study: Ain Azel plain (Algeria). Geoderma 159(3–4):390–398
Bollen KA, Curran PJ (2006) A structural equation approach. Wiley, Hoboken, p 185
Boniol D (1996) Summary of groundwater quality in the St. Johns River Water Management District. Palatka: Special Publication SJ96-SP13. St. Johns River Water Management District
Boutaleb A (2001) Mineralizations with Pb-Zn of the Sétifien-Hodna field: gitology, petrography of dolomites, microthermometry and implications metallogenic. Thesis, University of Sciences and Technology of Houari Boumediene, Algeria, pp. 260.
Byrne BM (2010) Structural equation modeling with Amos: basic concepts, applications, and programming. Taylor & Francis Group, New York
Clesceri LS, Greenberg AE, Eaton AD (1998) Standard methods for the examination of water and wastewater, 20th edn. American Public Health Association, American Water Works Association, Water Environment Federation, Washington, p 1220
Cloutier V, Lefebvre R, Therrien R, Savard MM (2008) Multivariate statistical analysis of geochemical data as indicative of the hydrogeochemical evolution of groundwater in a sedimentary rock aquifer system. J Hydrol 353(3–4):294–313
Davis ME, Blicharz AP, Hart JE, Laden F, Garshick E, Smith TJ (2007) Occupational exposure to volatile organic compounds and aldehydes in the U.S. trucking industry. Environ Sci Technol 41:7152–7158
Dehghanzadeh R, Hir NS, Sis JS, Taghipour H (2014) Integrated assessment of spatial and temporal variations of groundwater quality in the eastern area of Urmia Salt Lake Basin using multivariate statistical analysis. Water Resour Manag 1–14
Galcon J (1967) Research on the geology and the metalliferous lodgings of Sétifien Such, Thesis Natural Sciences, Geological Survey of Algeria, pp. 751.
Grace JB (2006) Structural equation modeling and natural systems. Cambridge University Press, Cambridge
Grob A (1995) A structural model of environmental attitudes and behaviour. J Environ Psychol 15:209–220
Guiraud R (1973) Post-triassic evolution of before country of the Alpine chain of Algeria, according to the study of the El Eulma basin and close areas, Thesis Natural Sciences, Nice, France, France, pp. 270
Hu L, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model A Multidiscip J 6:1–55
Kenney MA, Arhonditsis GB, Reiter LC, Barkley M, Reckhow KH (2009) Using structural equation modeling and expert elicitation to select nutrient criteria variables for south-central Florida lakes. Lake Reserv Manage 25:119–130
Khalil B, Ouarda TBMJ, St-Hilaire A, Chebana F (2010) A statistical approach for the rationalization of water quality indicators in surface water quality monitoring networks. J Hydrol 386(1):173–185
Kim K, Moon JT, Kim SH, Ko KS (2009) Importance of surface geologic conditioning regulating as concentration of groundwater in the alluvial plain. Chemosphere 77:478–484
Kline RB (1998) Principles and practice of structural equation modeling. The Guilford Press, New York
Ko DW, Stewart WP (2002) A structural equation model of residents’ attitudes for tourism development. Tour Manag 23:521–530
Koklu R, Sengorur B, Topal B (2010) Water quality assessment using multivariate statistical methods—a case study: Melen River System (Turkey). Water Resour Manag 24(5):959–978
Lark RM (2000) Estimating variograms of soil properties by the method-of-moments and maximum likelihood. Eur J Soil Sci 51:717–728
Liu WC, Yu HL, Chung CE (2011) Assessment of water quality in a subtropical Alpine lake using multivariate statistical techniques and geostatistical mapping: a case study. Int J Environ Res Public Health 8:1126–1140
Malaeb ZA, Summers JK, Pugesek BH (2000) Using structural equation modeling to investigate relationships among ecological variables. Environ Ecol Stat 7:93–111
Masoud AA (2014) Groundwater quality assessment of the shallow aquifers west of the Nile Delta (Egypt) using multivariate statistical and geostatistical techniques. J Afr Earth Sci 95:123–137
Mustapha A, Aris AZ (2012) Multivariate statistical analysis and environmental modeling of heavy metals pollution by industries. Pol J Environ Stud 21(5):1359–1367
Nas B, Berktay A (2010) Groundwater quality mapping in urban groundwater using GIS. Environ Monit Assess 160(1–4):215–227
Ou C, St-Hilaire A, Ouarda TB, Conly FM, Armstrong N, Khalil B, Proulx-McInnis S (2012) Coupling geostatistical approaches with PCA and fuzzy optimal model (FOM) for the integrated assessment of sampling locations of water quality monitoring networks (WQMNs). J Environ Monit 14(12):3118–3128
Papatheodorou G, Lambrakis N, Panagopoulos G (2007) Application of multivariate statistical procedures to the hydrochemical study of a coastal aquifer: an example from Crete, Greece. Hydrol Process 21(11):1482–1495
Piper AM (1944) A graphical procedure in the geochemical interpretation of wateranalysis. Trans Am Geophys Union 25:914–928
Raykov T (2005) Analysis of longitudinal studies with missing data using covariance structural modeling with full-information maximum likelihood. Struct Equ Model 12:493
Rogerson PA (2010) Statistical methods for geography: a student’s guide. Sage Publications, London
Rossi RE, Mulla DJ, Journel AG, Franz EH (1992) Geostatistical tools for modelling and interpreting ecological spatial dependence. Ecol Monogr 62(2):277–314
Rowell DJ (1994) Soil science: methods and applications. Longman Scientific and Technical, UK
Savornin J (1920) Geological investigation of Hodna and Sétifien plate, Thesis Natural Sciences, Lyon. France, pp. 200
Schaefer K, Einax J (2010) Analytical and chemometric characterization of the Cruces River in South Chile. Environ Sci Pollut Res 17(1):115–123
Sheikhy Narany T, Ramli MF, Aris AZ, Sulaiman WNA, Fakharian K (2014) Spatiotemporal variation of groundwater quality using integrated multivariate statistical and geostatistical approaches in Amol-Babol Plain, Iran. Environ Monit Assess 186:5797–5815
Tenenhaus M, Vinzi V, Chatelin YM, Lauro C (2005) PLS path modeling. Comput Stat Data Anal 48:159–208
Ullman JB, Bentler PM (1996) Structural equation modeling: handbook of psychology. Wiley, Hoboken, p 224
Usunoff EJ, Guzman-Guzman A (1989) Multivariate analysis in hydrochemistry:an example of the use of factor and correspondence analyses. Ground Water 27:27–34
Vila JM (1980) The Alpine chain of Eastern Algeria and the Algerian-Tunisian border, Thesis of doctorate Natural Sciences, Paris VI, France, pp. 665
Vile D, Shipley B, Garnier E (2006) A structural equation model to integrate changes in functional strategies during old-field succession. Ecology 87:504–517
WHO (2011) Guidelines for drinking-water quality, vol 4, 3rd edn. World Health Organization, Geneva
Yidana SM (2010) Groundwater classification using multivariate statistical methods: Southern Ghana. J Afr Earth Sci 57(5):455–469
Yidana SM, Ophori D, Banoeng-Yakubo B (2008) A multivariate statistical analysis of surface water chemistry data: the Ankobra Basin, Ghana. J Environ Manag 86(1):80–87
Zare-Mehrjardi M, Taghizadeh-Mehrjardi R, Akbarzadeh A (2010) Evaluation of geostatistical techniques for mapping spatial distribution of soil pH, salinity and plant cover affected by environmental factors in Southern Iran. Not Sci Biol 2:92–103