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1.
J Hazard Mater ; 179(1-3): 1065-77, 2010 Jul 15.
Article in English | MEDLINE | ID: mdl-20413217

ABSTRACT

An integrated approach of pollution evaluation indices, principal component analysis (PCA) and cluster analysis (CA) was employed to evaluate the intensity and sources of pollution in irrigation and drinking water systems of northwestern Bangladesh. Temperature, BOD, chemical oxygen demand (COD), Mn, Fe, Co, Ni, Cu and Pb levels in most of the water samples exceed the Bangladesh and international standards. The heavy metal pollution index (HPI) and degree of contamination (C(d)) yield different results despite significant correlations between them. The heavy metal evaluation index (HEI) shows strong correlations with HPI and C(d), and gives a better assessment of pollution levels. Modifications to the existing HPI and C(d) schemes show comparable results with HEI, and indicate that about 55% of the mine drainage/irrigation waters and 50% of the groundwaters are moderately to highly contaminated. The CA, PCA and pollution indices suggest that the mine drainage water (DW) is contaminated by anthropogenic (mining operation and agrogenic) sources, and the proximal parts are more contaminated than the distal part. The groundwater system in the vicinity of the coal mine site is also heavily polluted by anthropogenic sources. The pollution status of irrigation and drinking water systems in the study area are of great environmental and health concerns.


Subject(s)
Agriculture , Coal Mining , Hazardous Substances/analysis , Metals, Heavy/analysis , Water Pollutants, Chemical/analysis , Water Pollution, Chemical/analysis , Water Pollution, Chemical/statistics & numerical data , Water Supply/analysis , Algorithms , Bangladesh , Cluster Analysis , Hydrogen-Ion Concentration , Principal Component Analysis , Trace Elements/analysis , Water Purification
2.
J Hazard Mater ; 173(1-3): 384-92, 2010 Jan 15.
Article in English | MEDLINE | ID: mdl-19744789

ABSTRACT

Total concentrations of heavy metals in the soils of mine drainage and surrounding agricultural fields in the northern part of Bangladesh were determined to evaluate the level of contamination. The average concentrations of Ti, Mn, Zn, Pb, As, Fe, Rb, Sr, Nb and Zr exceeded the world normal averages and, in some cases, Mn, Zn, As and Pb exceeded the toxic limit of the respective metals. Soil pollution assessment was carried out using enrichment factor (EF), geoaccumulation index (I(geo)) and pollution load index (PLI). The soils show significant enrichment with Ti, Mn, Zn, Pb, As, Fe, Sr and Nb, indicating inputs from mining activities. The I(geo) values have revealed that Mn (1.24+/-0.38), Zn (1.49+/-0.58) and Pb (1.63+/-0.38) are significantly accumulated in the study area. The PLIs derived from contamination factors indicate that the distal part of the coal mine-affected area is the most polluted (PLI of 4.02). Multivariate statistical analyses, principal component and cluster analyses, suggest that Mn, Zn, Pb and Ti are derived from anthropogenic sources, particularly coal mining activities, and the extreme proximal and distal parts are heavily contaminated with maximum heavy metals.


Subject(s)
Agriculture , Coal Mining , Environmental Pollution/analysis , Metals, Heavy/analysis , Soil Pollutants/analysis , Algorithms , Bangladesh , Cluster Analysis , Spectrometry, X-Ray Emission , X-Ray Diffraction
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