Irrigation Channel Water Quality Monitoring by Multivariate Statistical Methods in the Interior Coastal District of Bangladesh
IOSR Journal of Environmental Science, Toxicology and Food Technology (IOSR-JESTFT) e-ISSN: 2319-2402,p- ISSN: 2319-2399.Volume 9, Issue 4 Ver. II (Apr. 2015), PP 74-80 www.iosrjournals.org Irrigation Channel Water Quality Monitoring by Multivariate Statistical Methods in the Interior Coastal District of Bangladesh Khondakar Arifuzzaman1, Masudur Rahman2, Nazia Hassan3 1Lecturer, Geography, Environment and Urban Planning Department, Pabna University of Science and Technology, Pabna-6600, Bangladesh. 2,3, Assistant Professor, Environmental Science Discipline, Khulna University, Khulna-9208, Bangladesh. Abstract: Multivariate statistical techniques including cluster analysis (CA), principle component analysis (PCA), and factor analysis (FA) was applied to the water analyses data of the irrigation channel located in Gopalganj, which is one of the interior coastal districts of Bangladesh. The intention of the study was to identify factors controlling water quality in dry (December to February) and pre-monsoon (March to May) season. Total seventy water samples were collected from ten sampling stations in seven sampling phases; twenty water samples were collected in the dry season in two sampling phases, and fifty water samples were collected in the pre-monsoon season in five sampling phases. Twelve water quality parameters namely pH, Total Dissolved Solids (TDS), Electrical Conductivity (EC), Sodium (Na+), Potassium (K+), Calcium (Ca++), ++ - - 2- 2- - Magnesium (Mg ), Bicarbonate (HCO3 ), Chloride (Cl ), Phosphate (PO4 ), Sulfate (SO4 ), and Nitrate (NO3 ) were analyzed in the Environmental Quality Laboratory of Khulna University by following standard methods. HCA was applied on the channel water analyses dataset that clustered the parameters into three groups which were distinctive for the two seasons.
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