Pesticides in water supply wells in Zealand, Denmark: A statistical analysis

Publication: Research - peer-reviewJournal article – Annual report year: 2011

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Pesticides in water supply wells in Zealand, Denmark: A statistical analysis. / Malaguerra, Flavio; Albrechtsen, Hans-Jørgen; Thorling, Lærke; Binning, Philip John.

In: Science of the Total Environment, Vol. 414, 2012, p. 433-444.

Publication: Research - peer-reviewJournal article – Annual report year: 2011

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Author

Malaguerra, Flavio; Albrechtsen, Hans-Jørgen; Thorling, Lærke; Binning, Philip John / Pesticides in water supply wells in Zealand, Denmark: A statistical analysis.

In: Science of the Total Environment, Vol. 414, 2012, p. 433-444.

Publication: Research - peer-reviewJournal article – Annual report year: 2011

Bibtex

@article{babe1c3ad6ad4ad594d7756acf8987f3,
title = "Pesticides in water supply wells in Zealand, Denmark: A statistical analysis",
keywords = "Wells, Pesticides, Vulnerability, Groundwater, Drinking water",
publisher = "Elsevier BV",
author = "Flavio Malaguerra and Hans-Jørgen Albrechtsen and Lærke Thorling and Binning, {Philip John}",
year = "2012",
doi = "10.1016/j.scitotenv.2011.09.071",
volume = "414",
pages = "433--444",
journal = "Science of the Total Environment",
issn = "0048-9697",

}

RIS

TY - JOUR

T1 - Pesticides in water supply wells in Zealand, Denmark: A statistical analysis

A1 - Malaguerra,Flavio

A1 - Albrechtsen,Hans-Jørgen

A1 - Thorling,Lærke

A1 - Binning,Philip John

AU - Malaguerra,Flavio

AU - Albrechtsen,Hans-Jørgen

AU - Thorling,Lærke

AU - Binning,Philip John

PB - Elsevier BV

PY - 2012

Y1 - 2012

N2 - Data from the Danish National Borehole Database are used to predict drinking water well vulnerability to contamination by pesticides, and to identify the dominant mechanisms leading to well pollution in Zealand, Denmark. The frequency of detection and concentrations of 4 herbicides and 3 herbicide metabolites are related to factors accounting for geology (thicknesses of sand, clay and chalk layers), geographical location (distance to surface water and distance to contaminated sites), redox conditions and well depth using logistic regression, the binomial test and Spearman correlation techniques. Results show that drinking water wells located in urban areas are more vulnerable to BAM and phenoxy acids contamination, while non-urban area wells are more subject to bentazone contamination. Parameters accounting for the hydraulic connection between the well and the surface (well depth and thickness of the clay confining layer) are often strongly related to well vulnerability. Results also show that wells close to surface water are more vulnerable to contamination, and that sandy layers provide better protection against the leaching of oxidizable pesticides than clay aquitards, because they are more likely to be aerobic. 4-CPP is observed more often at greater well depth, perhaps because of anaerobic dechlorination of dichlorprop. The field data are used to create a set of probabilistic models to predict well vulnerability to contamination by pesticides.

AB - Data from the Danish National Borehole Database are used to predict drinking water well vulnerability to contamination by pesticides, and to identify the dominant mechanisms leading to well pollution in Zealand, Denmark. The frequency of detection and concentrations of 4 herbicides and 3 herbicide metabolites are related to factors accounting for geology (thicknesses of sand, clay and chalk layers), geographical location (distance to surface water and distance to contaminated sites), redox conditions and well depth using logistic regression, the binomial test and Spearman correlation techniques. Results show that drinking water wells located in urban areas are more vulnerable to BAM and phenoxy acids contamination, while non-urban area wells are more subject to bentazone contamination. Parameters accounting for the hydraulic connection between the well and the surface (well depth and thickness of the clay confining layer) are often strongly related to well vulnerability. Results also show that wells close to surface water are more vulnerable to contamination, and that sandy layers provide better protection against the leaching of oxidizable pesticides than clay aquitards, because they are more likely to be aerobic. 4-CPP is observed more often at greater well depth, perhaps because of anaerobic dechlorination of dichlorprop. The field data are used to create a set of probabilistic models to predict well vulnerability to contamination by pesticides.

KW - Wells

KW - Pesticides

KW - Vulnerability

KW - Groundwater

KW - Drinking water

U2 - 10.1016/j.scitotenv.2011.09.071

DO - 10.1016/j.scitotenv.2011.09.071

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

VL - 414

SP - 433

EP - 444

ER -