2011
DOI: 10.1016/j.scitotenv.2011.05.048
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Which persistent organic pollutants can we map in soil using a large spacing systematic soil monitoring design? A case study in Northern France

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Cited by 44 publications
(27 citation statements)
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“…Concentrations of lindane, PCB-28 and HCB are respectively 10, 2 and 0.5 ng·kg −1 at the plateau. Such levels are in agreement with the orders of magnitude experimentally observed on natural soils (Villanneau et al, 2009;Villanneau et al, 2011;Salihoglu et al, 2011;Barber et al, 2005) and show that the input data we have selected are relevant for such a study. Significant oscillations were observed in the top-soil concentration for lindane and HCB, but they are mitigated with the soil depth.…”
Section: Kinetic Evolution Of Soil Concentration and Reemissions Undesupporting
confidence: 86%
“…Concentrations of lindane, PCB-28 and HCB are respectively 10, 2 and 0.5 ng·kg −1 at the plateau. Such levels are in agreement with the orders of magnitude experimentally observed on natural soils (Villanneau et al, 2009;Villanneau et al, 2011;Salihoglu et al, 2011;Barber et al, 2005) and show that the input data we have selected are relevant for such a study. Significant oscillations were observed in the top-soil concentration for lindane and HCB, but they are mitigated with the soil depth.…”
Section: Kinetic Evolution Of Soil Concentration and Reemissions Undesupporting
confidence: 86%
“…This is a particular risk in urban land use settings, especially where the systems are in poor repair (Foster et al, 1998;Morris et al, 2005;Morris and Cunningham, 2008;Rueedi et al, 2009). Aerial sources from industry, transport and agriculture provide a diffuse and low loading to the land surface (Leister and Baker 1994;Villanneau et al, 2011). Due to the low concentrations and high attenuation potential in the subsurface, particularly in the soil zone, these types of diffuse sources are not considered significant for groundwater pollution.…”
Section: Diffuse Sourcesmentioning
confidence: 99%
“…This formulation allows the estimation of the variogram parameters using the residual maximum likelihood (REML) estimator (Lark et al, 2006) that will minimise the bias in the estimates (Marchant and Lark, 2007). Villanneau et al (2011) used this approach to determine the spatial pattern of persistent organic pollutant variation.…”
Section: Spatial Analysis For Sampling Predicting and Mapping Contammentioning
confidence: 99%