Improving safe sanitation practices using groundwater transport modelling and water quality monitoring data

In many developing countries, poorly constructed pit latrines are the primary source of groundwater contamination. Approaches are needed to identify site-specific separation distances between domestic wells and pit latrines. In this study, tracer transport simulations are combined with water quality...

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Autores principales: Tula M. Ngasala, Mantha S. Phanikumar, Susan J. Masten
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Lenguaje:EN
Publicado: IWA Publishing 2021
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Acceso en línea:https://doaj.org/article/5769bcb8994c4f3d988fd1b4789699e6
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spelling oai:doaj.org-article:5769bcb8994c4f3d988fd1b4789699e62021-12-02T07:41:20ZImproving safe sanitation practices using groundwater transport modelling and water quality monitoring data0273-12231996-973210.2166/wst.2021.428https://doaj.org/article/5769bcb8994c4f3d988fd1b4789699e62021-11-01T00:00:00Zhttp://wst.iwaponline.com/content/84/10-11/3311https://doaj.org/toc/0273-1223https://doaj.org/toc/1996-9732In many developing countries, poorly constructed pit latrines are the primary source of groundwater contamination. Approaches are needed to identify site-specific separation distances between domestic wells and pit latrines. In this study, tracer transport simulations are combined with water quality monitoring data to identify separation distances in peri-urban Dar es Salaam. Bivariate correlation and linear regression models were used to find the relationships between (1) simulated tracer and distances from the wells to the nearest pit latrines (2) simulated tracer and observed contaminants (nitrate, E. coli, and total dissolved solids). The results showed a strong correlation between tracer with nitrate and E. coli, with Pearson coefficient (r) values of 0.80 and 0.79, but a weak correlation with total dissolved solids (TDS) (r = 0.23). A strong correlation between tracer and distance for shallow and deep wells (r = −0.96, −0.76) was found. Based on the soil type and aquifer properties in the area, wells must be placed at least 34 m from a pit latrine to minimize contamination. With recent advances in sensor technologies and the availability of low-cost sensors, linking simulated tracer with observed contaminant levels may provide an alternative first approach to quickly assess human health risks associated with groundwater contamination. HIGHLIGHTS A method to determine site-specific separation distance between wells and pit latrines was developed.; Tracer transport simulations and statistical analyses were used to find relationships between tracer, distance and contaminants.; A strong correlation was found between simulated tracer, distance to the nearest pit latrine and contaminants.; In this area, wells must be placed >34 m from pit latrines to minimize contamination.;Tula M. NgasalaMantha S. PhanikumarSusan J. MastenIWA Publishingarticlecontaminant transportdeveloping countrydomestic wellsgroundwater flowpit latrineseparation distanceEnvironmental technology. Sanitary engineeringTD1-1066ENWater Science and Technology, Vol 84, Iss 10-11, Pp 3311-3322 (2021)
institution DOAJ
collection DOAJ
language EN
topic contaminant transport
developing country
domestic wells
groundwater flow
pit latrine
separation distance
Environmental technology. Sanitary engineering
TD1-1066
spellingShingle contaminant transport
developing country
domestic wells
groundwater flow
pit latrine
separation distance
Environmental technology. Sanitary engineering
TD1-1066
Tula M. Ngasala
Mantha S. Phanikumar
Susan J. Masten
Improving safe sanitation practices using groundwater transport modelling and water quality monitoring data
description In many developing countries, poorly constructed pit latrines are the primary source of groundwater contamination. Approaches are needed to identify site-specific separation distances between domestic wells and pit latrines. In this study, tracer transport simulations are combined with water quality monitoring data to identify separation distances in peri-urban Dar es Salaam. Bivariate correlation and linear regression models were used to find the relationships between (1) simulated tracer and distances from the wells to the nearest pit latrines (2) simulated tracer and observed contaminants (nitrate, E. coli, and total dissolved solids). The results showed a strong correlation between tracer with nitrate and E. coli, with Pearson coefficient (r) values of 0.80 and 0.79, but a weak correlation with total dissolved solids (TDS) (r = 0.23). A strong correlation between tracer and distance for shallow and deep wells (r = −0.96, −0.76) was found. Based on the soil type and aquifer properties in the area, wells must be placed at least 34 m from a pit latrine to minimize contamination. With recent advances in sensor technologies and the availability of low-cost sensors, linking simulated tracer with observed contaminant levels may provide an alternative first approach to quickly assess human health risks associated with groundwater contamination. HIGHLIGHTS A method to determine site-specific separation distance between wells and pit latrines was developed.; Tracer transport simulations and statistical analyses were used to find relationships between tracer, distance and contaminants.; A strong correlation was found between simulated tracer, distance to the nearest pit latrine and contaminants.; In this area, wells must be placed >34 m from pit latrines to minimize contamination.;
format article
author Tula M. Ngasala
Mantha S. Phanikumar
Susan J. Masten
author_facet Tula M. Ngasala
Mantha S. Phanikumar
Susan J. Masten
author_sort Tula M. Ngasala
title Improving safe sanitation practices using groundwater transport modelling and water quality monitoring data
title_short Improving safe sanitation practices using groundwater transport modelling and water quality monitoring data
title_full Improving safe sanitation practices using groundwater transport modelling and water quality monitoring data
title_fullStr Improving safe sanitation practices using groundwater transport modelling and water quality monitoring data
title_full_unstemmed Improving safe sanitation practices using groundwater transport modelling and water quality monitoring data
title_sort improving safe sanitation practices using groundwater transport modelling and water quality monitoring data
publisher IWA Publishing
publishDate 2021
url https://doaj.org/article/5769bcb8994c4f3d988fd1b4789699e6
work_keys_str_mv AT tulamngasala improvingsafesanitationpracticesusinggroundwatertransportmodellingandwaterqualitymonitoringdata
AT manthasphanikumar improvingsafesanitationpracticesusinggroundwatertransportmodellingandwaterqualitymonitoringdata
AT susanjmasten improvingsafesanitationpracticesusinggroundwatertransportmodellingandwaterqualitymonitoringdata
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