title: Which persistent organic pollutants can we map in soil using a large spacing systematic soil monitoring design? A case study in Northern France.
abstract: Persistent organic pollutants (POPs) impact upon human and animal health and the wider environment. It is important to determine where POPs are found and the spatial pattern of POP variation. The concentrations of 90 molecules which are members of four families of POPs and two families of herbicides were measured within a region of Northern France as part of the French National Soil Monitoring Network (RMQS: Réseau de Mesures de la Qualité des Sols). We also gather information on five covariates (elevation, soil organic carbon content, road density, land cover and population density) which might influence POP concentrations. The study region contains 105 RMQS observation sites arranged on a regular square grid with spacing of 16 km. The observations include hot-spots at sites of POP application, smaller concentrations where POPs have been dispersed and observations less than the limit of quantification (LOQ) where the soil has not been impacted by POPs. Fifty nine of the molecules were detected at less than 50 sites and hence the data were unsuitable for spatial analyses. We represent the variation of the remaining 31 molecules by various linear mixed models which can include fixed effects (i.e. linear relationships between the molecule concentrations and covariates) and spatially correlated random effects. The best model for each molecule is selected by the Akaike Information Criterion. For nine of the molecules, spatial correlation is evident and hence they can potentially be mapped. For four of these molecules, the spatial correlation cannot be wholly explained by fixed effects. It appears that these molecules have been transported away from their application sites and are now dispersed across the study region with the largest concentrations found in a heavily populated depression. More complicated statistical models and sampling designs are required to explain the distribution of the less dispersed molecules.
authors: INRA, US1106 Unité Infosol, Centre de recherches d'Orléans, CS 40001, Ardon, 45075 Orléans Cedex 2, France.
authors: Estelle J
authors: EJ
authors: Villanneau
authors: Nicolas P A
authors: NP
authors: Saby
authors: Ben P
authors: BP
authors: Marchant
authors: Claudy C
authors: CC
authors: Jolivet
authors: Line
authors: L
authors: Boulonne
authors: Giovanni
authors: G
authors: Caria
authors: Enrique
authors: E
authors: Barriuso
authors: Antonio
authors: A
authors: Bispo
authors: Olivier
authors: O
authors: Briand
authors: Dominique
authors: D
authors: Arrouays
mesh_terms: D004784:Environmental Monitoring / Q000379:methods*; D005602:France; D016014:Linear Models; D012987:Soil / Q000737:chemistry; D012989:Soil Pollutants / Q000032:analysis* / Q000737:chemistry
chemical_list: D012987:Soil; D012989:Soil Pollutants