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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 tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.ORCID-id: 0000-0002-6790-2653
2019 (Engelska)Ingår i: Journal of Physics, Conference Series, ISSN 1742-6588, E-ISSN 1742-6596, Vol. 1294, artikel-id 072025Artikel i tidskrift (Refereegranskat) 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.

Ort, förlag, år, upplaga, sidor
UK: Institute of Physics (IOP), 2019. Vol. 1294, artikel-id 072025
Nyckelord [en]
Multivariate statistical techniques, Water quality, Tigris River, Iraq
Nationell ämneskategori
Teknik och teknologier Geoteknik
Forskningsämne
Vattenteknik; Geoteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-76502DOI: 10.1088/1742-6596/1294/7/072025OAI: oai:DiVA.org:ltu-76502DiVA, id: diva2:1365498
Konferens
2nd International Science Conference24–25 April 2019, College of Science, University of Al-Qadisiyah, Iraq
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Tillgänglig från: 2019-10-25 Skapad: 2019-10-25 Senast uppdaterad: 2019-10-28Bibliografiskt granskad

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