A Statistical Approach for Evaluation of the Effects of Industrial and Municipal Wastes on Warri Rivers, Niger Delta, Nigeria

作者：Onojake M C^*; Ukerun S O; Iwuoha G

来源：Water Quality, Exposure and Health, 2011, 3(2): 91-99.

DOI：10.1007/s12403-011-0046-7

• Pollution index
• Multivariate statistics
• Municipal
• Warri rivers and aquatic ecosystem

Rivers in Warri, Delta State of Nigeria are of particular importance in surface water pollution studies as they act as receptacles for effluents from oil industries, municipal sewage, agricultural and urban run-off. The water quality of these rivers is thus considerably changed. Results obtained from the analyses were correlated using Pearson's correlation matrix, principal component analysis and pollution index. Positive correlations were observed for pH, conductivity, TDS, Cl-, Mg2+, NO32-, COD, Cd and Ni2+. The pollution index, PI, for all the samples (1.11) is considered critical and indicates that the water samples from these rivers require treatment before use. Multivariate statistical and principal component analyses of the data showed three major components: PC1 with variance 6.42 representing 42.8% of the total variability, PC2 with variance 3.76 representing 25.10% of total variability, and PC3 with variance 2.13 representing 14.20% of the total variability. The first three principal components with eigenvalues greater than 1 represent 82.10% of the total variability, suggesting that three principal components adequately explain the variation in the data set. The results of the analyses when compared with World Health Organization (WHO) indicated that the rivers were polluted and so the water from such rivers is not safe for domestic use.

• 出版日期2011-10