تقييم نوعية مياه نهر دجلة باستخدام الإحصاء متعدد المتغيرات
Other Title(s)
Assessment of tigris river water quality using multivariate statistical techniques
Author
Source
Issue
Vol. 26, Issue 4 (31 Dec. 2019), pp.26-31, 6 p.
Publisher
Tikrit University Colleg of Engineering
Publication Date
2019-12-31
Country of Publication
Iraq
No. of Pages
6
Main Subjects
Earth Sciences, Water and Environment
Topics
Abstract EN
The present study uses the multivariate statistical techniques by applying the Factor Analysis (Principle component method) to explain the observed water quality data of Tigris river within Baghdad city.
The water quality was analyzed at eleven different sites, along the river, over a period of one year (2017) using 20 water quality parameters.
Five factors were identified by factor analysis which was responsible from the 72.291% of the total variance of the water quality in the Tigris river.
The first factor called the pollution factor explained 34.387% of the total variance and the second factor called the surface runoff and erosion factor explained 11.875% of the total variance.
While, the third, fourth, and fifth factors explained 10.213% , 8.861% and 6.956% of the total variance and called pH, Silica and nutrient factors, respectively.
Multivariate statistical techniques can be effective methods to aid waterresources managers understand complex nature of water quality issues and determine the priorities to sustain water The present study uses the multivariate statistical techniques by applying the Factor Analysis (Principle component method) to explain the observed water quality data of Tigris river within Baghdad city.
The water quality was analyzed at eleven different sites, along the river, over a period of one year (2017) using 20 water quality parameters.
Five factors were identified by factor analysis which was responsible from the 72.291% of the total variance of the water quality in the Tigris river.
The first factor called the pollution factor explained 34.387% of the total variance and the second factor called the surface runoff and erosion factor explained 11.875% of the total variance.
While, the third, fourth, and fifth factors explained 10.213% , 8.861% and 6.956% of the total variance and called pH, Silica and nutrient factors, respectively.
Multivariate statistical techniques can be effective methods to aid waterresources managers understand complex nature of water quality issues and determine the priorities to sustain water quality.
American Psychological Association (APA)
منتصر عبد الحميد عبد. 2019. تقييم نوعية مياه نهر دجلة باستخدام الإحصاء متعدد المتغيرات. مجلة تكريت للعلوم الهندسية،مج. 26، ع. 4، ص ص. 26-31.
https://search.emarefa.net/detail/BIM-1033922
Modern Language Association (MLA)
منتصر عبد الحميد عبد. تقييم نوعية مياه نهر دجلة باستخدام الإحصاء متعدد المتغيرات. مجلة تكريت للعلوم الهندسية مج. 26، ع. 4 (2019)، ص ص. 26-31.
https://search.emarefa.net/detail/BIM-1033922
American Medical Association (AMA)
منتصر عبد الحميد عبد. تقييم نوعية مياه نهر دجلة باستخدام الإحصاء متعدد المتغيرات. مجلة تكريت للعلوم الهندسية. 2019. مج. 26، ع. 4، ص ص. 26-31.
https://search.emarefa.net/detail/BIM-1033922
Data Type
Journal Articles
Language
Arabic
Notes
-
Record ID
BIM-1033922