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Evaluation of Water quality in the Tigris River within Baghdad, Iraq using Multivariate Statistical Techniques
Department of Environment, College of Science, University of Al-Qadisiyah, Iraq.
Technical Institute of Shatra, Southern Technical University, Iraq.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0002-6790-2653
2019 (English)In: Journal of Physics, Conference Series, ISSN 1742-6588, E-ISSN 1742-6596, Vol. 1294, article id 072025Article in journal (Refereed) Published
Abstract [en]

This research concentrated on the Tigris River water quality monitoring information. Some multivariate statistical techniques were applied like basic Ingredient (PC) test, discriminant analysis (DA), multiple linear regression analysis (MLRA) to evaluate important parameters affecting water quality during year 2017-2018. The study included 25 water quality parameters, viz., Temperature (T), Potential of Hydrogen (pH), Turbidity (Tur), Total Alkaline (TA), Full rigidity (TH), Calcium (Ca+2), Chloride (Cl-1), Magnesium (Mg+2), Electrical Conductivity (EC), Sulfate (SO4-2), Total Solids (TS), Suspended Solids (SS), Iron (Fe+2), Fluoride (F-1), Aluminum (Al+3), Nitrite (NO2-1), Nitrate (NO3-1), Silica (SiO2), Phosphate (PO4-3), Ammonia (NH3), Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD5), Chemical Oxygen Demand (COD), Sodium (Na+1), and Total Dissolved Solids (TDS). Generally, all the parameters were within the standards except Tur, TA, Ca+2, EC, SO4-2. The levels of Tur and EC are of critical factors influence upon the Tigris water quality. The PCA identified six principal components responsible for 78.12% of the variation caused by the industrial, domestic, municipal and agricultural runoff pollution sources. DA results produced the eight parameters; T, BOD5, EC, Mg+2, DO, Tur, Na+1, and COD as the most significant parameters differentiating the two parts of the year (the cold and warm seasons). The result of MLRA showed that BOD5, Na+1, T, DO, and PO4-3 are the important dependable factors for predicting the COD value as an indicator of organic and nonorganic pollution. This research demonstrated success importance utilizing Multivariate statistical methods like valuable instrument of administration, control, and preserve the water of the river.

Place, publisher, year, edition, pages
UK: Institute of Physics (IOP), 2019. Vol. 1294, article id 072025
Keywords [en]
Multivariate statistical techniques, Water quality, Tigris River, Iraq
National Category
Engineering and Technology Geotechnical Engineering
Research subject
Water Resources Engineering; Soil Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-76502DOI: 10.1088/1742-6596/1294/7/072025OAI: oai:DiVA.org:ltu-76502DiVA, id: diva2:1365498
Conference
2nd International Science Conference24–25 April 2019, College of Science, University of Al-Qadisiyah, Iraq
Note

Konferensartikel i tidskrift

Available from: 2019-10-25 Created: 2019-10-25 Last updated: 2019-10-28Bibliographically approved

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