Multivariate statistical-based surface water quality assessment of the Tigris and Diyala Rivers at their confluence in Baghdad

Authors

  • Alhassan Ismail Middle Technical University, Institute of Technology-Baghdad, Water Resources Techniques Department https://orcid.org/0000-0002-3202-8302
  • Muntasir A Shareef Middle Technical University, Institute of Technology-Baghdad, Water Resources Techniques Department
  • Hatem H Hussein Ministry of Water Resources/Department of Planning and Follow-up
  • Havan Hassan Salman Ministry of Water Resources, National Center for Water Resources Management
  • Nazar Kadhim Naama Ministry of Water Resources, National Center for Water Resources Management
  • Ahmed Hatif Salim Ministry of Water Resources, National Center for Water Resources Management
  • Anmar Ghalib Matar Ministry of Water Resources, National Center for Water Resources Management

Abstract

Recently, the Tigris and Diyala rivers have deteriorated due to the discharge of inadequately treated wastewater into the river, an increase in water demand, and climate change. This makes Iraq suffer from providing water for different uses.  In this paper, an attempt has been made to apply multivariate statistical methods, factor analysis (FA), to identify the primary factors and pollution sources affecting the water quality at the confluence of the Tigris and Diyala Rivers. The water quality of 16 parameters was considered in 35 sampling stations during two different periods. The water quality parameters are Turbidity, Total Hardness, Calcium, Magnesium, Sodium, Potassium, Chloride, pH, Electrical conductivity, Total dissolved solids, Sulfate, Carbonate, Bicarbonate, Iron, Chromium, Nitrate. The results of factor analysis specified three factors representing 80.810% of the total variance in each water quality dataset for the first period, whereas, for the second period, 2 factors were identified representing 77.402% of the total variance in each water quality dataset. The main differences are related to anthropogenic activities, in addition to some agricultural activities and hydrochemical effects in the study area. Multivariate statistical methods such as factor analysis can be used to understand the complex water quality data and identifying the source of pollution, in addition to provide a better explanation of the relationship between the large numbers of variables in surface water. FA can determine priorities to improve water quality and is believed to aid decision-makers in assessing water quality.

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Published

2024-03-27

How to Cite

Ismail, A., Shareef, M. A. ., Hussein, H. H. ., Salman, H. H. ., Naama, N. K. ., Salim, A. H. ., & Matar, A. G. . (2024). Multivariate statistical-based surface water quality assessment of the Tigris and Diyala Rivers at their confluence in Baghdad. Journal of Water Resources and Geosciences, 3(1), 15–30. Retrieved from https://jwrg.gov.iq/index.php/jwrg/article/view/78