Literature DB >> 20956086

Groundwater arsenic contamination in one of the 107 arsenic-affected blocks in West Bengal, India: Status, distribution, health effects and factors responsible for arsenic poisoning.

Tarit Roychowdhury1.   

Abstract

A somewhat detailed study was carried out in Gaighata, one of the 107 arsenic-affected blocks in West Bengal, India, to determine the degree of groundwater contamination with arsenic, its depth wise distribution, correlation with iron, arsenical health effects to the inhabitants and the factors responsible for arsenic poisoning. Groundwater in all the 107 mouzas over 13 gram-panchayets in Gaighata block contains arsenic above 0.01mgl(-1) and in 91 mouzas, arsenic concentration has been found above 0.05mgl(-1). About 59.2 and 40.3% of the tubewell water samples contain arsenic above 0.01 and 0.05mgl(-1), respectively. The approximate population drinking arsenic-contaminated water above 0.01 and 0.05mgl(-1) are 106,560 and 72,540, respectively. The tubewells that were installed within the depth range of 15.4-30.3m are mostly arsenic-contaminated. Even the shallow groundwater level (7.87-15.1m) is arsenic-contaminated. Both arsenic and iron concentrations in groundwater gradually increase from lower depth to higher depth up to 39.4m, and then decrease with increasing depth. About 58% of the deep tubewell water samples (depth range 122-182m, n=31) contain arsenic ≥0.05mgl(-1). About 72% of the arsenic-contaminated deep tubewells (n=18) were safe when surveyed first time. But within a span of 2-5 years, they became contaminated with arsenic. The linear regression shows direct correlation between arsenic and iron concentrations in groundwater (r(2)=0.8114, p<0.0001, n=912). Intakes of inorganic arsenic from water by an adult male and female in the surveyed areas are 11.7 and 13.1μg/kg body wt./day, respectively and these values are higher than the WHO recommended PTDI value of inorganic arsenic (2.1μg/kg body wt./day). Mean arsenic concentrations in urine, hair and nail samples, collected from the inhabitants of Gutri mouza are higher than their normal level and the values are 292μgl(-1) (range: 8.35-1024μg l(-1), n=193), 2.50mgkg(-1) (range: 0.17-5.99mgkg(-1), n=132), and 6.05mgkg(-1) (range: 0.55-16.7mgkg(-1), n=116), respectively. About 83% and 68% of the urine samples (n=250) contain arsenic above 100 and 200μgl(-1), respectively. Linear regressions show very good correlations between arsenic concentrations in water vs. urine, hair and nail samples from the inhabitants (n=103) of Gutri mouza. About 18.3% of the population (n=930) were registered with arsenical skin lesions.
Copyright © 2010 Elsevier GmbH. All rights reserved.

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Year:  2010        PMID: 20956086     DOI: 10.1016/j.ijheh.2010.09.003

Source DB:  PubMed          Journal:  Int J Hyg Environ Health        ISSN: 1438-4639            Impact factor:   5.840


  7 in total

1.  Effects of abandoned arsenic mine on water resources pollution in north west of iran.

Authors:  Behzad Hajalilou; Mohammad Mosaferi; Fazel Khaleghi; Sakineh Jadidi; Bahram Vosugh; Esmail Fatehifar
Journal:  Health Promot Perspect       Date:  2011-07-25

2.  Arsenic contamination in Kolkata metropolitan city: perspective of transportation of agricultural products from arsenic-endemic areas.

Authors:  Anirban Biswas; Shresthashree Swain; Nilanjana Roy Chowdhury; Madhurima Joardar; Antara Das; Meenakshi Mukherjee; Tarit Roychowdhury
Journal:  Environ Sci Pollut Res Int       Date:  2019-06-08       Impact factor: 4.223

Review 3.  Microbial and plant-assisted heavy metal remediation in aquatic ecosystems: a comprehensive review.

Authors:  Shyamalina Haldar; Abhrajyoti Ghosh
Journal:  3 Biotech       Date:  2020-04-20       Impact factor: 2.406

4.  Characterization, concentration and risk assessment of airborne particles using car engine air filter (case study: Tehran metropolis).

Authors:  Fatemeh Ahmadipour; Abbas Esmaeili Sari; Nader Bahramifar
Journal:  Environ Geochem Health       Date:  2019-05-16       Impact factor: 4.609

5.  Using urine as a biomarker in human exposure risk associated with arsenic and other heavy metals contaminating drinking groundwater in intensively agricultural areas of Thailand.

Authors:  Pokkate Wongsasuluk; Srilert Chotpantarat; Wattasit Siriwong; Mark Robson
Journal:  Environ Geochem Health       Date:  2017-02-07       Impact factor: 4.609

6.  Comparison of hypertension and diabetes mellitus prevalence in areas with and without water arsenic contamination.

Authors:  Manoochehr Mahram; Dariush Shahsavari; Sonia Oveisi; Shabnam Jalilolghadr
Journal:  J Res Med Sci       Date:  2013-05       Impact factor: 1.852

Review 7.  Current developments in toxicological research on arsenic.

Authors:  Hermann M Bolt
Journal:  EXCLI J       Date:  2013-01-21       Impact factor: 4.068

  7 in total

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