Evidence map›Paper›PMID 31297220›Full record

ArticleJournal of environmental health science & engineering2019

A lumped-parameter model for investigation of nitrate concentration in drinking water in arid and semi-arid climates and health risk assessment.

Hamid Karyab, Razieh Hajimirmohammad-Ali, Akram Bahojb

Abstract read
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Article in Journal of environmental health science & engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hamid Karyab1Social Determinants of Health Research Center, Qazvin University of Medical Sciences, Bahonar Blvd, Qazvin, Iran.ORCID 0000-0001-9727-2632
Razieh Hajimirmohammad-Ali2Bio-Medical Technology Center, Qazvin University of Medical Sciences, Bahonar Blvd, Qazvin, Iran.
Akram Bahojb3Department of Environmental Health Engineering, Public Health Center, Qazvin University of Medical Science, Bahonar Blvd, Qazvin, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study was conducted to assess the capability of the lumped parameter model (LPM), an efficient model due to its analytical nature and the limited data requirements, to estimate health risks from nitrate in groundwater in arid and semi-arid climates.

methodsTo assess the capability of LPM, two scenarios were established: one for estimation of hazard quotient (HQ) via monitoring nitrate concentration in groundwater and the other using the LPM. After nitrate was monitored in 148 randomly-selected wells, a modified LPM was used to estimate water volume and nitrate concentration, which ultimately led to the development of a model for estimating HQ. The performances of LPM were assessed using the coefficient of determination, percentage standard deviation, and root mean square error. To compare health risk maps Kriging, Spline, Inverse distance weighted, and natural neighbor models were run using geographical information system (GIS).

resultsLinear analysis revealed a strong correlation between HQ values estimated in LPM and monitoring scenarios in arid climate compared to semi-arid (

conclusionsThe obtained results revealed that LPM can be effectively used to estimate nitrate concentration in groundwater in arid climates and thereby LPM is an appropriate model to estimate health risk from nitrate in this climate.

Indexed as

ClimatesGroundwaterHealth risksLumped parameter modelNitrate

Identifiers

PMID31297220
PMCPMC6582111

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