Literature DB >> 28819724

Hydrogeochemistry and water quality of the Kordkandi-Duzduzan plain, NW Iran: application of multivariate statistical analysis and PoS index.

Shahla Soltani1, Asghar Asghari Moghaddam1, Rahim Barzegar2, Naeimeh Kazemian3, Evangelos Tziritis4.   

Abstract

Kordkandi-Duzduzan plain is one of the fertile plains of East Azarbaijan Province, NW of Iran. Groundwater is an important resource for drinking and agricultural purposes due to the lack of surface water resources in the region. The main objectives of the present study are to identify the hydrogeochemical processes and the potential sources of major, minor, and trace metals and metalloids such as Cr, Mn, Cd, Fe, Al, and As by using joint hydrogeochemical techniques and multivariate statistical analysis and to evaluate groundwater quality deterioration with the use of PoS environmental index. To achieve these objectives, 23 groundwater samples were collected in September 2015. Piper diagram shows that the mixed Ca-Mg-Cl is the dominant groundwater type, and some of the samples have Ca-HCO3, Ca-Cl, and Na-Cl types. Multivariate statistical analyses indicate that weathering and dissolution of different rocks and minerals, e.g., silicates, gypsum, and halite, ion exchange, and agricultural activities influence the hydrogeochemistry of the study area. The cluster analysis divides the samples into two distinct clusters which are completely different in EC (and its dependent variables such as Na+, K+, Ca2+, Mg2+, SO42-, and Cl-), Cd, and Cr variables according to the ANOVA statistical test. Based on the median values, the concentrations of pH, NO3-, SiO2, and As in cluster 1 are elevated compared with those of cluster 2, while their maximum values occur in cluster 2. According to the PoS index, the dominant parameter that controls quality deterioration is As, with 60% of contribution. Samples of lowest PoS values are located in the southern and northern parts (recharge area) while samples of the highest values are located in the discharge area and the eastern part.

Entities:  

Keywords:  Hydrogeochemistry; Iran; Multivariate statistical analysis; PoS index; Trace metals

Mesh:

Substances:

Year:  2017        PMID: 28819724     DOI: 10.1007/s10661-017-6171-4

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  5 in total

1.  Application of multivariate statistical analysis and hydrochemical and isotopic investigations for evaluation of groundwater quality and its suitability for drinking and agriculture purposes: case of Oum Ali-Thelepte aquifer, central Tunisia.

Authors:  Imen Hassen; Fadoua Hamzaoui-Azaza; Rachida Bouhlila
Journal:  Environ Monit Assess       Date:  2016-02-02       Impact factor: 2.513

2.  Identification of coastal water quality by statistical analysis methods in Daya Bay, South China Sea.

Authors:  Mei-Lin Wu; You-Shao Wang; Cui-Ci Sun; Haili Wang; Jun-De Dong; Jian-Ping Yin; Shu-Hua Han
Journal:  Mar Pollut Bull       Date:  2010-02-13       Impact factor: 5.553

3.  Groundwater geochemistry in the Alisadr, Hamadan, western Iran.

Authors:  Mohsen Jalali
Journal:  Environ Monit Assess       Date:  2009-06-03       Impact factor: 2.513

4.  Modeling groundwater quality over a humid subtropical region using numerical indices, earth observation datasets, and X-ray diffraction technique: a case study of Allahabad district, India.

Authors:  Sudhir Kumar Singh; Prashant K Srivastava; Dharmveer Singh; Dawei Han; Sandeep Kumar Gautam; A C Pandey
Journal:  Environ Geochem Health       Date:  2014-08-03       Impact factor: 4.609

5.  Environmental monitoring of Micro Prespa Lake basin (Western Macedonia, Greece): hydrogeochemical characteristics of water resources and quality trends.

Authors:  Evangelos P Tziritis
Journal:  Environ Monit Assess       Date:  2014-03-26       Impact factor: 2.513

  5 in total
  2 in total

1.  Delimitation of groundwater zones under contamination risk using a bagged ensemble of optimized DRASTIC frameworks.

Authors:  Rahim Barzegar; Asghar Asghari Moghaddam; Jan Adamowski; Amir Hossein Nazemi
Journal:  Environ Sci Pollut Res Int       Date:  2019-01-31       Impact factor: 4.223

2.  Groundwater pollution source apportionment using principal component analysis in a multiple land-use area in southwestern China.

Authors:  Qiling Li; Han Zhang; Shanshan Guo; Kang Fu; Lei Liao; Yi Xu; Siqian Cheng
Journal:  Environ Sci Pollut Res Int       Date:  2019-08-28       Impact factor: 4.223

  2 in total

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