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A Novel Approach for Indexing Heavy Metals Pollution to Assess Groundwater Quality for Drinking Purposes

Bibliographic Data

ID15462770
AuthorsElsiddig Eldaw (0000-0003-3829-3403, Southwest Jiaotong University, corresponding author), Tao Huang (0000-0003-0936-5033, Southwest Jiaotong University), Basheer A Elubid (0000-0003-4031-9094, Southwest Jiaotong University), Adam Khalifa Mohamed (0000-0002-2655-2271, Southwest Jiaotong University), Mahama Yahaya (Southwest Jiaotong University), Yahaya Mahama (Southwest Jiaotong University)
Year2020
Volume17
Issue4
Pages1245-1245
Publication date2020-02-14
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17041245
PMID32075186
OpenAlexW3005605562
LanguageEN
Citations received1
References cited24

The present study proposes a new approach for indexing heavy metals ions to examine groundwater quality in North Kurdufan Province, Sudan. The new approach is developed based on the most frequently used methods for indexing heavy metals pollution in water. It is created in order to avoid the weaknesses of the current indexing systems. As per the new indexing approach, heavy metal contamination in water samples is evaluated by two types of indices: the negative evaluation index (NEI) and positive evaluation index (PEI). The water worthiness is assessed based on a pair of indices, NEI and PEI. Water quality increases with the decrease of PEI and NEI values. NEI indicates the contribution of heavy metals with a concentration not exceeding the highest desirable limit (I i ) in the water sample, while vice versa regarding the PEI. If all heavy metals concentrations in the water sample do not exceed I i , the sum of NEI should be less than zero, but not less than -100, implying that the sum of PEI will be zero. When all heavy metals concentration exceeds I i , the sum of NEI should be equal to zero, and PEI will be greater than zero. The results of the newly proposed approach have been discussed and compared with the existing indexing methods as regards to the best and worst samples. The spatial distribution of NEI and PEI are in complete agreement with the metals spatial distribution. The comparison result showed that the new index is robust, with fair calculations, and gives the best classification of groundwater quality

Groundwater · Heavy metals · Index (typography · Search engine indexing · Statistics · Water quality · Chemistry · Computer Science · Environmental Science · Geochemistry and Geologic Mapping · Groundwater and Isotope Geochemistry · Mathematics · Water Quality and Pollution Assessment · Artificial Intelligence · Environmental Chemistry · Environmental Engineering · Geology · Pollution

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Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo
Open DOIOpen Access
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