Characterisation of arsenic contamination in groundwater by statistical methods

Statistical investigation on groundwater arsenic concentration data of southwest Bangladesh was performed. Two data sets of 1998-99 and 2002-03 were selected for this analysis. Summary statistics of the data shows that the mean concentration exceeds the Bangladesh limit (0.05mg/l) in all areas. Norm...

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Main Authors: Anwar, Faisal, Kawonine, N.
Format: Journal Article
Published: Inderscience Publishers 2012
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/49326
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author Anwar, Faisal
Kawonine, N.
author_facet Anwar, Faisal
Kawonine, N.
author_sort Anwar, Faisal
building Curtin Institutional Repository
collection Online Access
description Statistical investigation on groundwater arsenic concentration data of southwest Bangladesh was performed. Two data sets of 1998-99 and 2002-03 were selected for this analysis. Summary statistics of the data shows that the mean concentration exceeds the Bangladesh limit (0.05mg/l) in all areas. Normality of arsenic concentration data was checked by frequency histogram, skewness coefficient and chi-square goodness-of-fit test and found that the arsenic contamination is not normally distributed. The data were checked for spatial distribution by plotting contour maps and it shows substantial spatial variation. Temporal variability was tested by students t-test and found that the area closer to the confluence of Ganges-Meghna-Jamuna river showing significant temporal variation. Vertical variability of arsenic contamination shows that more than 80-90% of the shallow aquifer (<150m) are contaminated with arsenic (>0.05mg/l). Though deep aquifer (>150m) is still considered as arsenic free but 1-3% of deep tubewells water was also found contaminated with arsenic.
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spelling curtin-20.500.11937-493262018-05-02T04:06:54Z Characterisation of arsenic contamination in groundwater by statistical methods Anwar, Faisal Kawonine, N. Statistical Arsenic Contamination Analysis Groundwater Concentration Bangladesh Statistical investigation on groundwater arsenic concentration data of southwest Bangladesh was performed. Two data sets of 1998-99 and 2002-03 were selected for this analysis. Summary statistics of the data shows that the mean concentration exceeds the Bangladesh limit (0.05mg/l) in all areas. Normality of arsenic concentration data was checked by frequency histogram, skewness coefficient and chi-square goodness-of-fit test and found that the arsenic contamination is not normally distributed. The data were checked for spatial distribution by plotting contour maps and it shows substantial spatial variation. Temporal variability was tested by students t-test and found that the area closer to the confluence of Ganges-Meghna-Jamuna river showing significant temporal variation. Vertical variability of arsenic contamination shows that more than 80-90% of the shallow aquifer (<150m) are contaminated with arsenic (>0.05mg/l). Though deep aquifer (>150m) is still considered as arsenic free but 1-3% of deep tubewells water was also found contaminated with arsenic. 2012 Journal Article http://hdl.handle.net/20.500.11937/49326 10.1504/IJGENVI.2012.049387 Inderscience Publishers fulltext
spellingShingle Statistical
Arsenic
Contamination
Analysis
Groundwater
Concentration
Bangladesh
Anwar, Faisal
Kawonine, N.
Characterisation of arsenic contamination in groundwater by statistical methods
title Characterisation of arsenic contamination in groundwater by statistical methods
title_full Characterisation of arsenic contamination in groundwater by statistical methods
title_fullStr Characterisation of arsenic contamination in groundwater by statistical methods
title_full_unstemmed Characterisation of arsenic contamination in groundwater by statistical methods
title_short Characterisation of arsenic contamination in groundwater by statistical methods
title_sort characterisation of arsenic contamination in groundwater by statistical methods
topic Statistical
Arsenic
Contamination
Analysis
Groundwater
Concentration
Bangladesh
url http://hdl.handle.net/20.500.11937/49326