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Assessment of Water Quality Using Multivariate Statistical Analysis in the Gharaso River, Northern Iran

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Abstract

The Gorgan Rod River, located in northern Iran in Golestan Province, is the largest watershed in the province, which its water quality is affected by natural and anthropogenic changes. Water samples were taken between 1984 and 2008 from 18 sampling stations, along the Gorgan Rod River. Determination of non-principal and principal monitoring stations was carried out for the Gorgan Rod watershed, south-east of the Caspian Sea. Water quality parameters including EC, TDS, bicarbonate, carbonate, chloride, total hardness, calcium, potassium, sodium, sodium adsorption ratio, sulfate, pH, and magnesium were measured. The graphic representations obtained underline that (i) PCA (principal component analysis) is associated with the natural and anthropogenic changes in the different stations; and (ii) the locations of the different stations studied are consistent with their apparent features. The results indicated that water quality in Basir Abad, Agh Ghala, Haji Ghochan, and Bagh Salian stations was of the poorest among other stations because of anthropogenic effects. The best water quality was observed in Ramian, Araz Kose, Nawda, Pas Poshtah, Lezore, Glikesh, and Tangrah stations because there were no changes in land uses.

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Abbreviations

CA:

Cluster analysis

Ca+2 :

Calcium

Cl−1 :

Chloride

EC:

Electrical conductivity

\({{\text{HCO}}_{3}}^{ - 1}\) :

Bicarbonate

CO−3 :

Carbonate

K+1 :

Potassium

Mg+2 :

Magnesium

Na+1 :

Sodium

PCA:

Principal component

SAR:

Sodium adsorption ratio

\({{\text{SO}}_{4}}^{ - 2}\) :

Sulfate

T-Hard:

Total hardness

Temp:

Temperature

TDS:

Total dissolved solids

References

  • AOAC (1990) Official methods of analysis, vol 1, 15th edn. Association of Analytical Chemists, Arlington, VI, USA, p 312

    Google Scholar 

  • APHA, AWWA, WEF (2005) Standard methods for the examination of water and wastewater, 21st edn. American Public Health Association/American Water Works Association/Water Environment Federation, USA

    Google Scholar 

  • Azhar SC, Aris AZ, Yusoff MK, Ramli MF, Juahir H (2015) Classification of river water quality using multivariate analysis. Procedia Environ Sci 30:79–84

    Article  CAS  Google Scholar 

  • Cattell RB, Jaspers J (1967) A general plasmode (No. 30-10-5-2) for factor analytic exercises and research. Multivar Behav Res Monogr 67:1–212

    Google Scholar 

  • Dillon WR, Goldstein M (1984) Multivariate analysis methods and application. Wiley

    Google Scholar 

  • Duh VJ, Shandas H, Chang L (2008). George, rates of urbanization and the resilience of air and water quality. Sci Total Environ 400:238–256

    Google Scholar 

  • Facchinelli A, Sacchi E, Mallen L (2001) Multivariate statistical and GIS-based approach to identify heavy metals sources in soils. J Environ Poll 114:313–324

    Article  CAS  Google Scholar 

  • Jackson JE (1991) A user’s guide to principal components. Wiley, New York

    Book  Google Scholar 

  • Jinzhu M, Zhenyu D, Guoxiao W et al (2009) Sources of water pollution and evolution of water quality in the Wuwei basin of Shiyang river, Northwest China. J Environ Manag 90:1168–1177

    Google Scholar 

  • Khaledian Y, Ebrahimi S, Bag Mohamadi H (2012) Effects of urbanization and changes land use on water geochemical properties. A case study: Gharaso River in Golestan Province, North of Iran. Terr Aquat Environ Toxicol 6(2):77–83

    Google Scholar 

  • Khaledian Y, Kiani F, Ebrahimi S, Brevik EC, Aitkenhead-Peterson JA (2016a) Assessment of urbanization on soil quality using multivariate statistical, Northern Iran. Lad Degradation and Development. https://doi.org/10.1002/ldr.2541

  • Khaledian Y, Pereira P, Brevik EC, Pundyte N, Paliulis D (2016b) The influence of organic carbon and pH on heavy metals levels in lithuanian soils. https://doi.org/10.1002/ldr.2638

  • Kilonzo F, Masese FO, Van Griensven A, Bauwens W, Obando J, Lens PN (2014) Spatial–temporal variability in water quality and macro-invertebrate assemblages in the Upper Mara River basin, Kenya. Phys Chem Earth, Parts A/B/C 67:93–104 (Chicago)

    Google Scholar 

  • Lee JH, Hamma SY, Cheong JY et al (2009) Characterizing riverbank-filtered water and river water qualities at a site in the lower Nakdong River basin, Republic of Korea. J Hydrol 376:209–220

    Article  CAS  Google Scholar 

  • Li S, Zhang Q (2010) Risk assessment and seasonal variations of dissolved trace elements and heavy metals in the Upper Han River, China. J Hazard Mater 181:1051–1058

    Article  CAS  Google Scholar 

  • Li S, Liu W, Gu S, Cheng X, Xu Z, Zhang Q (2009) Spatial-temporal dynamics of nutrients in the upper Han River basin, China. J Hazard Mat 162:1340–1346

    Article  CAS  Google Scholar 

  • Mahbub H, Syed Munaf A, Walid A (2008) Cluster analysis and quality assessment of logged water at an irrigation project, eastern Saudi Arabia. J Environ Manag 86(1):297–307

    Article  Google Scholar 

  • Massart DL, Kaufman L (1983) The interpretation of analytical chemical data by the use of cluster analysis. Wiley, New York

    Google Scholar 

  • Noori R, Sabahi MS, Karbassi AR, Baghvand A, Taati Zadeh H (2010) Multivariate statistical analysis of surface water quality based on correlations and variations in the data set. Desalination. https://doi.org/10.1016/j.desal.04.053

    Google Scholar 

  • Ouyang Y (2005) Evaluation of river water quality monitoring stations by principal component analysis. J Water Res 39:2621–2635

    Article  CAS  Google Scholar 

  • Razmkhah H, Abrishamchi A, Torkian A (2010) Evaluation of spatial and temporal variation in water quality by pattern recognition techniques: a case study on Jajrood River (Tehran, Iran). J Environ Manag 91:852–860

    Article  CAS  Google Scholar 

  • Sawyer GN, McCarthy DL (1967) Chemistry of sanitary engineers, 2nd edn. Mc Graw Hill, New York, p 518

    Google Scholar 

  • Sharaf MA, Illman DL, Kowalski BR (1986) Chemometrics. Wiley, New York

    Google Scholar 

  • Shrestha S, Kazama F (2007) Assessment of surface water quality using multivariate statistical techniques: a case study of the Fuji river basin, Japan. J Environ Modell Softw 22:464–475

    Article  Google Scholar 

  • Simeonov V, Stratis JA, Samara C, Zachariadis G, Voutsa D, Anthemidis A, Sofoniou M, Kouimtzis T (2003) Assessment of the surface water quality in Northern Greece. J Water Res 37:4119–4124

    Article  CAS  Google Scholar 

  • Singh KP, Malik A, Sinha S (2005) Water quality assessment and apportionment of pollution sources of Gomti river (India) using multivariate statistical techniques—a case study. Anal Chim Acta 538:355–374

    Article  CAS  Google Scholar 

  • Todd DK (1980) Groundwater hydrology, 2nd edn. Wiley, New York, p 535

    Google Scholar 

  • Vega M, Pardo R, Barrado E, Deban L (1998) Assesment of seasonal and polluting effects on the quality of river water by exploratory data analysis. J Water Res 32(12):3581–3592

    Article  CAS  Google Scholar 

  • Viswanath NC, Kumar PD, Ammad KK (2015) Statistical analysis of quality of water in various water shed for Kozhikode City, Kerala, India. Aquat Procedia 4:1078–1085

    Article  Google Scholar 

  • Wellington RLM, Dominic M (2008) Impact on water quality of land uses along Thamalakane-Boteti River: an outlet of the Okavango Delta. Phys Chem Earth 33:687–694

    Article  Google Scholar 

  • WHO (2004) Guidelines for drinking water quality. World Health Organisation, Geneva

    Google Scholar 

  • Willet P (1987) Similarity and clustering in chemical information systems. Research Studies Press, Wiley, New York

    Google Scholar 

  • Xiao J, Jin Z, Wang J (2014) Geochemistry of trace elements and water quality assessment of natural water within the Tarim River Basin in the extreme arid region, NW China. J Geochem Explor 136:118–126

    Article  CAS  Google Scholar 

  • Zhang CL, Zou XY, Yang P et al (2007) Wind tunnel test and 137Cs tracing study on wind erosion of several soils in Tibet. J Soil Tillage Res 94(2):269–282

    Article  Google Scholar 

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Khaledian, Y. et al. (2018). Assessment of Water Quality Using Multivariate Statistical Analysis in the Gharaso River, Northern Iran. In: Sarma, A., Singh, V., Bhattacharjya, R., Kartha, S. (eds) Urban Ecology, Water Quality and Climate Change. Water Science and Technology Library, vol 84. Springer, Cham. https://doi.org/10.1007/978-3-319-74494-0_18

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