Bhuiyan M.A.H., Dampare S.B., Islam M.A., Suzuki S.
Source apportionment and pollution evaluation of heavy metals in water and sediments of Buriganga River, Bangladesh, using multivariate analysis and pollution evaluation indices
Graduate School of Natural Science and Technology, Okayama University, 1-1, Tsushima, Naka, 3-Chome, Okayama, Japan; Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh; National Nuclear Research Institute, Ghana Atomic Energy Commission, P.O. Box LG 80, Legon-Accra, Ghana; Chemistry Division, Dhaka Atomic Energy Center, Bangladesh Atomic Energy Commission, Dhaka, Bangladesh
Bhuiyan, M.A.H., Graduate School of Natural Science and Technology, Okayama University, 1-1, Tsushima, Naka, 3-Chome, Okayama, Japan, Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh; Dampare, S.B., National Nuclear Research Institute, Ghana Atomic Energy Commission, P.O. Box LG 80, Legon-Accra, Ghana; Islam, M.A., Chemistry Division, Dhaka Atomic Energy Center, Bangladesh Atomic Energy Commission, Dhaka, Bangladesh; Suzuki, S., Graduate School of Natural Science and Technology, Okayama University, 1-1, Tsushima, Naka, 3-Chome, Okayama, Japan
Concentrations of heavy metals in water and sediment samples of Buriganga River in the capital city Dhaka, Bangladesh, were studied to understand the level of heavy metals and their source apportionment. The results showed that the mean concentrations of heavy metals both in water and sediment samples were very high and, in most cases, exceeded the permissible limits recommended by the Bangladesh government and other international organizations. Significantly higher concentrations of Pb, Cr, Mn, Co, Ni, Cu, Zn, As, and Cd were found in sediment samples. However, average concentrations of metals both in water and sediment samples were above the effect range median. The heavy metal pollution index (HPI) and degree of contamination (Cd) yielded different results in water samples despite significant correlations between them. The heavy metal evaluation index (HEI) showed strong correlations with HPI and Cd and provided better assessment of pollution levels. The enrichment factor (EF) and geoaccumulation index (Igeo) showed the elevated value of Cr, Pb, and Cd in access of background values. The measured elements were subjected to positive matrix factorization (PMF) and examining correlations in order to explain the content, behavior, and source apportionment of metals. PMF resulted in a successful partitioning of variances into sources related to background geochemistry and contaminant influences. However, the PMF approach successfully demarcated the major sources of metals from tannery, paint, municipal sewage, textiles, and agricultural activities. © 2014, Springer International Publishing Switzerland.
Factorization; Heavy metals; Lead; Manganese; Matrix algebra; Metals; Multivariant analysis; Rivers; Sediments; Sewage; Water resources; Agricultural activities; Buriganga rivers; Geo-accumulation index; Heavy metal evaluations; International organizations; Pollution load indices; Positive Matrix Factorization; Source apportionment; River pollution; arsenic; cadmium; chromium; cobalt; copper; heavy metal; lead; manganese; nickel; zinc; background level; concentration (composition); enrichment; geoaccumulation index; heavy metal; multivariate analysis; partitioning; pollutant source; river pollution; sediment pollution; agricultural waste; Article; Bangladesh; concentration (parameters); controlled study; environmental enrichment; environmental impact assessment; geographic distribution; industrial waste; river; sediment; sludge; urbanization; waste water; water analysis; water contamination; water pollution; water pollution indicator; water quality; water sampling; Bangladesh; Buriganga River; Dhaka [Bangladesh]