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Determine the parameters affecting on the pollution of the Orontes River by statistical analysis methods

Lina Khouri1

Section:Research Paper, Product Type: Journal-Paper
Vol.7 , Issue.4 , pp.28-34, Dec-2020


Online published on Dec 31, 2020


Copyright © Lina Khouri . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: Lina Khouri, “Determine the parameters affecting on the pollution of the Orontes River by statistical analysis methods,” World Academics Journal of Engineering Sciences, Vol.7, Issue.4, pp.28-34, 2020.

MLA Style Citation: Lina Khouri "Determine the parameters affecting on the pollution of the Orontes River by statistical analysis methods." World Academics Journal of Engineering Sciences 7.4 (2020): 28-34.

APA Style Citation: Lina Khouri, (2020). Determine the parameters affecting on the pollution of the Orontes River by statistical analysis methods. World Academics Journal of Engineering Sciences, 7(4), 28-34.

BibTex Style Citation:
@article{Khouri_2020,
author = {Lina Khouri},
title = {Determine the parameters affecting on the pollution of the Orontes River by statistical analysis methods},
journal = {World Academics Journal of Engineering Sciences},
issue_date = {12 2020},
volume = {7},
Issue = {4},
month = {12},
year = {2020},
issn = {2347-2693},
pages = {28-34},
url = {https://www.isroset.org/journal/WAJES/full_paper_view.php?paper_id=2202},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/WAJES/full_paper_view.php?paper_id=2202
TI - Determine the parameters affecting on the pollution of the Orontes River by statistical analysis methods
T2 - World Academics Journal of Engineering Sciences
AU - Lina Khouri
PY - 2020
DA - 2020/12/31
PB - IJCSE, Indore, INDIA
SP - 28-34
IS - 4
VL - 7
SN - 2347-2693
ER -

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Abstract :
This study investigates the quality of the Orontes River by conducting a statistical analysis at certain monitoring points.as 11 monitoring points were distributed along the river from the point of its entry into the Governorate of Homs until its exit from it, and for this purpose, methods of multivariate statistical analysis were applied (cluster analysis, Factor analysis). By using the statistical program /SPSS/ to find out the advantages of the variables, the results indicated the possibility of reducing the number of measured variables and reducing the number of monitoring points along the stream, as the cluster analysis showed the presence of two clusters (low pollution, polluted), which could reduce the number of sampling sites according to similar specifications. By applying the factor analysis to study the changes to compare the compositional patterns between clusters, It gave /4/ basic factors with the degree of measurement quality of 85.7% > 50%, and the best rate for explaining the total variance ratios is 87.86% of the total variance and includes (7) basic variables: (EC, Na, BOD, COD, NO3, DO, TSS).

Key-Words / Index Term :
Orontes River Pollution, Statistical Analysis, Cluster Analysis, Factor Analysis, Multivariate Statistical Methods, River Water Quality

References :
[1] W. Flint, "The Sustainable Development of Water Resources," Water Resources Update, Issue. 127, pp. 41-51, Feb 2004.
[2] M.Denchack, "Water Pollution: Everything You Need to Know", Networks R (https://www.nrdc.org/stories/water-pollution-everything-you-need-know).
[3] W. J. Cosgrove, D. P. Loucks, " Current and future challenges and research directions," Vol. 51, Issue. 6, pp. 4823-4839, 2015.
[4] L. Matejicek, “ Modeling of Water Pollution in Urban Areas with GIS and Multivariate Statistical Methods,” Paper presented at the 1 st Biennial Meeting of iEMSs, Lugano, Switzerland, June 24-27, pp.60-65, 2002.
[5] K. P. Singh, A. Malik, S. Sinha, D. Mohan, “Multivariate statistical techniques for the evaluation of spatial and temporal variations in water qualityof Gomti River (India)-a case study,” Water Research,Vol. 38, pp. 3980–3992, 2004.
[6] K. Manoj, S. Ghosh, P. K. Padhy,“ haracterization and Classification of Hydrochemistry Using Multivariate raphical and Hydro Statistical Techniques,” Research journal of chemical sciencesVol 5, No 3, pp.32-42, 2013.
[7] K. Rahman, S. Barua, S. Alam, A. Aalm, “Ecological Risk Assessment of Heavy Metals concentration in Sediment of the Shitalakhya River,” International Journal of scientific in Multidisciplinary studies, Vol. 6 Issue. 6, pp. 15-20, june 2020.
[8] M.A.K.Shiker, " Multivariate Statistical Analysis," British jornal of scince,vol.6 No 1, pp 55, july 2012.
[9] A.Mousa, "Statistical Data Analysis," Center for Advancement of Postgraduate Studies and Research in Engineering sciences,Faculty of Engineering - Cairo University, Vol. ,No.2372, 2005.
[10] C.O. Adejoro, F. N. Ogwueleka, “Users Perception of Social Media Opportunities and Challenges,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.4, pp.93, 2020.
[11] Y. Qian, K. W. Migliaccio, Y. Wan, Y. Li, “Surface Water Quality Evaluation sing Multivariate Methodes and a New Water Quality Index in THe India River Lagoon, Florida,” Sharing Science, Vol 43, No 8 , pp.21, 2007.
[12] A. Field, “Discovering Statistics Using SPSS third edition,” (3 ed.). London: SAGE Publication, 2009.

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