Delineation of Hazardous Areas and Additional Sampling Strategy in Presence of a Location-Specific Threshold

摘要: This paper presents a methodology to account for multiple sources of uncertainty (measurement and interpolation errors pollutant concentrations, spatially variable regulatory thresholds) in the mapping probability contamination. The approach, which involves kriging soft indicator data propagation by Latin-Hypercube Sampling (LHS) ccdfs, is applied 216 km2 airborne Cd-contaminated area Belgium. aim predict exceeding sanitation threshold (ST) vegetable gardens depends on both soil organic matter (OM) clay content. A validation study shows that ccdfs provide accurate models about properties. coefficient variation ccdf difference D=ST-[Cd] proposed as criterion decide where additional samples should be collected. In case study, this allows one identify mostly locations were wrongly declared safe, while large prediction detected sampling variance Cd high.