The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.
A meta-analysis of the distribution, sources and health risks of arsenic-contaminated groundwater in Pakistan
Open accessAbstract
Globally, millions of people who rely on groundwater for potable purposes and agriculture have been inadvertently exposed to toxic arsenic (As) because of its natural occurrence in groundwater in several countries of Asia, Europe and America. While the presence of As in groundwater and its impacts on human health have been documented in many countries, there is little information on As contamination in Pakistan. This review highlights, for the first time, the extent and severity of As-induced problems in Pakistan based on relevant published papers; discusses possible sources of As contamination of aquifers; and estimates As-induced potential health hazards in the country in relation to global data. Data from 43 studies (>9882 groundwater samples) were used to describe As variability in groundwater of Pakistan and for comparison with global data. The mean groundwater As content reported in these studies was 120 μg/L (range: 0.1-2090 μg/L; SD: ±307). About 73% of the values for mean As contents in the 43 studies were higher than the World Health Organization (WHO) permissible limit (10 μg/L) for drinking water, while 41% were higher than the permissible limit of As in Pakistan (50 μg/L). It was observed that groundwater samples in some areas of Punjab and Sindh provinces contained high As concentrations which were almost equal to concentrations reported in the most contaminated areas of the world. We predicted that the mean values of ADD, HQ and CR were 4.4 μg kg-1day-1 (range: 0-77 μg kg-1day-1), 14.7 (range: 0-256) and 0.0029 (range: 0-0.0512), respectively, based on mean As concentrations reported in Pakistan. In addition, this article proposes some integrated sustainable solutions and future perspectives keeping in view the regional and global context, as well as the on-ground reality of the population drinking As-contaminated water, planning issues, awareness among civil society and role of the government bodies. Based on available data, it is predicted that almost 47 million people in Pakistan are residing in areas where more than 50% of groundwater wells contain As concentrations above the WHO recommended limit of As in drinking water.
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Cites
A review of the source, behaviour and distribution of arsenic in natural waters
Smedley, P. L., & Kinniburgh, D. G. (2002) · Applied Geochemistry · doi:10.1016/s0883-2927(02)00018-5 · Cited by 7,691
A comparison of technologies for remediation of heavy metal contaminated soils
Khalid, S., Shahid, M., Niazi, N. K., Murtaza, B., Bibi, I., & Dumat, C. (2017) · Journal of Geochemical Exploration · doi:10.1016/j.gexplo.2016.11.021 · Cited by 1,356
Self-citationShahid, M., Dumat, C., Khalid, S., Schreck, E., Xiong, T., & Niazi, N. K. (2017) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2016.11.063 · Cited by 1,181
Self-citationCancer risks from arsenic in drinking water
Smith, A. H., Hopenhayn-Rich, C., Bates, M. N., Goeden, H. M., Hertz-Picciotto, I., Duggan, H. M., Wood, R., Kosnett, M. J., & Smith, M. T. (1992) · Environmental Health Perspectives · doi:10.1289/ehp.9297259 · Cited by 1,110
Arsenic contamination of groundwater in Bangladesh
Kinniburgh, D. G., & Smedley, P. L. (2001) · Cited by 981
Arsenic in the geosphere — a review
Matschullat, J. (2000) · Science of The Total Environment · doi:10.1016/s0048-9697(99)00524-0 · Cited by 891
Water pollution in Pakistan and its impact on public health — A review
Azizullah, A., Khattak, M. N. K., Richter, P., & Häder, D.-P. (2011) · Environment International · doi:10.1016/j.envint.2010.10.007 · Cited by 890
Abbas, G., Murtaza, B., Bibi, I., Shahid, M., Niazi, N., Khan, M., Amjad, M., Hussain, M., & Natasha (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15010059 · Cited by 886
Self-citationArsenic pollution: a global synthesis
(2009) · Choice Reviews Online · doi:10.5860/choice.47-0826 · Cited by 773
Arsenic: health effects, mechanisms of actions, and research issues.
Abernathy, C. O., Liu, Y. P., Longfellow, D., Aposhian, H. V., Beck, B., Fowler, B., Goyer, R., Menzer, R., Rossman, T., Thompson, C., et al. (1999) · Environmental Health Perspectives · doi:10.1289/ehp.99107593 · Cited by 657
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Genesis of geogenic contaminated groundwater: As, F and I
Wang, Y., Li, J., Ma, T., Xie, X., Deng, Y., & Gan, Y. (2021) · Critical Reviews in Environmental Science and Technology · doi:10.1080/10643389.2020.1807452 · Cited by 259
Use of Microbial Consortia in Bioremediation of Metalloid Polluted Environments
Lashani, E., Amoozegar, M. A., Turner, R. J., & Moghimi, H. (2023) · Microorganisms · doi:10.3390/microorganisms11040891 · Cited by 44
Khanzada, A. K., Rizwan, M., Al-Hazmi, H. E., Majtacz, J., Kurniawan, T. A., & Mąkinia, J. (2023) · Water · doi:10.3390/w15213866 · Cited by 19
Metadata
- Authors
- Shahid, M., Niazi, N. K., Dumat, C., Naidu, R., Khalid, S., Rahman, M. M., & Bibi, I.
- Venue
- Environmental Pollution
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 242
- Issue
- Pt A
- Pages
- 307-319
- ISSN
- 0269-7491 (ISSN-L)
- OpenAlex
- W2809935096
- Cited by
- 253
- References
- 121
- FWCI
- 2.90
- Type
- journal article
- Language
- en
- Open access
- green
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- Shahid, M., Niazi, N. K., Dumat, C., Naidu, R., Khalid, S., Rahman, M. M., & Bibi, I. (2018). A meta-analysis of the distribution, sources and health risks of arsenic-contaminated groundwater in Pakistan. Environmental Pollution. https://doi.org/10.1016/j.envpol.2018.06.083
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