Water Quality Assessment of Karrnaphuli River, Bangladesh Using Multivariate Analysis and Pollution Indices

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Mahmudul Karim
Sujan Kanti Das
Shujit Chandra Paul
Mohammad Farhan Islam
Md. Shahadat Hossain

Abstract

The Karrnaphuli river is one of the polluted river of Chittagong originating from the Lushai Hills in India which is being polluted recently by various industries located around it. The primary objective of this study was to determine the water quality status of the most polluted area of Karrnaphuli river along with the root causes of pollution. The study involved the determination of physical parameters like temperature, color, electrical conductivity, odor, turbidity and other chemical parameters like potential of hydrogen (pH), dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD) etc. of the most polluted zone of Karrnaphuli river. From the parameters investigated, evaluation of water quality was done on the basis of standard Water Quality Index (WQI) and Comprehensive Pollution Index (CPI). Principal Component Analysis (PCA) was used to extract the parameters that were most important in assessing variation in water quality. The WQI value indicates that around 40% of the sampled stations water quality is of bad grade, about 40% of water quality is of low grade and 20% water quality was ranged from moderate to good quality. However, CPI values indicate that all of the sampling station water is severely polluted. Four Principal Components were identified to be responsible for the data structure explaining 94% of the total variance of the dataset. The sample sites were highly polluted with different wastes generated from various industries situated in the bank of Karrnaphuli River.

 

Keywords:
Karrnaphuli River, WQI, CPI, geostatistical analysis

Article Details

How to Cite
Karim, M., Kanti Das, S., Chandra Paul, S., Farhan Islam, M., & Shahadat Hossain, M. (2018). Water Quality Assessment of Karrnaphuli River, Bangladesh Using Multivariate Analysis and Pollution Indices. Asian Journal of Environment & Ecology, 7(3), 1-11. https://doi.org/10.9734/AJEE/2018/43015
Section
Original Research Article