TY - JOUR
T1 - Pesticides in water supply wells in Zealand, Denmark: A statistical analysis
AU - Malaguerra, Flavio
AU - Albrechtsen, Hans-Jørgen
AU - Thorling, Lærke
AU - Binning, Philip John
N1 - Funding Information:
This work was supported by Copenhagen Energy and the Danish Agency for Science Technology and Innovation funded project RiskPoint — Assessing the risks posed by point source contamination to groundwater and surface water resources under grant number 09–063216 .
PY - 2012/1/1
Y1 - 2012/1/1
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 - Drinking water
KW - Groundwater
KW - Pesticides
KW - Vulnerability
KW - Wells
UR - http://www.scopus.com/inward/record.url?scp=84855529886&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2011.09.071
DO - 10.1016/j.scitotenv.2011.09.071
M3 - Article
SN - 0048-9697
VL - 414
SP - 433
EP - 444
JO - Science of the Total Environment
JF - Science of the Total Environment
ER -