Using Nemerow's Pollution Index to investigate correlations between land use and water quality across a sample of South African catchments

ABSTRACT Water quality indices (WQIs) enable researchers to combine the measurements of multiple parameters into a single unitless score of overall water quality. Nemerow's Pollution Index (NPI) is a flexible and intuitively simple index that uses an ascending scale to indicate overall levels of impairment. This study demonstrates the utility of the NPI, when used in combination with site-specific water quality guidelines, to investigate correlations between land use and water quality across a sample of 58 sub-catchments located along the western, southern, and south-eastern coast of South Africa. NPI scores for 2013–2014 were calculated for each sub-catchment using data from South Africa's National Chemical Monitoring Programme. Land use metrics for urban, agricultural, and natural land cover were estimated from a contemporaneous national land cover map. Correlation analysis revealed statistically significant positive correlations across the sample between pollution levels and proportions of urban and agricultural land (Spearman's ρ = 0.333 and 0.621, respectively), and strong negative correlations between pollution levels and proportions of natural land cover (Spearman's ρ = –0.729). The study concludes that, when used in concert with site-specific water quality standards, the NPI is a useful tool for evaluating overall levels of impairment across a sample of water bodies.

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Publication Details

Journal
Water Practice & Technology
Published
2024-12-19
DOI
https://doi.org/10.2166/wpt.2024.307
Citations
1
Primary Topic
Water Quality and Pollution Assessment
Type
article
Field-Weighted Citation Impact
0.20

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article

Using Nemerow's Pollution Index to investigate correlations between land use and water quality across a sample of South African catchments

Kent Anson Locke
1 citations
Water Practice & Technology
Water Quality and Pollution Assessment
0.20
article

Using Nemerow's Pollution Index to investigate correlations between land use and water quality across a sample of South African catchments

Kent Anson Locke
article en
1 citations

Abstract

ABSTRACT Water quality indices (WQIs) enable researchers to combine the measurements of multiple parameters into a single unitless score of overall water quality. Nemerow's Pollution Index (NPI) is a flexible and intuitively simple index that uses an ascending scale to indicate overall levels of impairment. This study demonstrates the utility of the NPI, when used in combination with site-specific water quality guidelines, to investigate correlations between land use and water quality across a sample of 58 sub-catchments located along the western, southern, and south-eastern coast of South Africa. NPI scores for 2013–2014 were calculated for each sub-catchment using data from South Africa's National Chemical Monitoring Programme. Land use metrics for urban, agricultural, and natural land cover were estimated from a contemporaneous national land cover map. Correlation analysis revealed statistically significant positive correlations across the sample between pollution levels and proportions of urban and agricultural land (Spearman's ρ = 0.333 and 0.621, respectively), and strong negative correlations between pollution levels and proportions of natural land cover (Spearman's ρ = –0.729). The study concludes that, when used in concert with site-specific water quality standards, the NPI is a useful tool for evaluating overall levels of impairment across a sample of water bodies.

Water Practice & TechnologyVol. 20(1)
University of Cape Town (ZA)
University of Cape Town
Clean water and sanitation
Openalex Percentile: Top 43%
Water Quality and Pollution Assessment
0.20
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Using Nemerow's Pollution Index to investigate correlations between land use and water quality across a sample of South African catchments — Kent Anson Locke · Water Practice & Technology (2024) | TGRS Research Map | TGRS