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has been cited by the following article:

• TITLE: Assessment of Spatio-Temporal Variations in Water Quality of Shailmari River, Khulna (Bangladesh) Using Multivariate Statistical Techniques

  AUTHORS: Md. Muhyminul Islam, Olaf K. Lenz, Abul Kalam Azad, Mosummath Hosna Ara, Masudur Rahman, Nazia Hassan

  KEYWORDS: Water Quality Variation, Wastewater, Multivariate Statistical Analysis, Monsoon, Bangladesh

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.5 No.1, January 5, 2017

  ABSTRACT: Surface water has become one of the most vulnerable resources on the earth due to deterioration of its quality from diverse sources of pollution. Understanding of the spatiotemporal distribution of pollutants and identification of the sources in the river systems is a prerequisite for the protection and sustainable utilization of the water resources. Multivariate statistical techniques such as Principal Component Analysis (PCA) and Factor Analysis (FA) were applied in this study to investigate the temporal and spatial variations of water quality and appoint the major factors of pollution in the Shailmari River system. Water quality data for 14 physicochemical parameters from 11 monitoring sites over the year of 2014 in three sampling seasons were collected and analyzed for this study. Kruskal-Wallis test showed significant (p