Bayesian Statistics-Based Procedure for Sampling of Contaminated Sites
Authors: C. Carlon1; C. Nathanail2; C. Critto3; A. Marcomini3
Source: Soil and Sediment Contamination (formerly Journal of Soil Contamination), Volume 13, Number 4, 2004 , pp. 329-345(17)
Publisher: Taylor and Francis Ltd
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Abstract:
A variable density sampling pattern based on Bayesian statistics is presented and compared to a uniform density statistical pattern and a judgmental approach in a real case study. The Bayesian statistics, supported by a software tool, supplied a soil sampling plan similar to the judgmental one, especially for the number of sampling points and their location. It allowed statistical goals to be set and expert judgment to be included in the sampling strategy in a transparent and systematic procedure. For these reasons, it appears quite suitable for inclusion into Quality Assurance Quality Control plans.Keywords: Soil sampling; Bayesian statistics; contaminated soil characterisation; site assessment; decision support system
Document Type: Research article
DOI: 10.1080/10588330490466049
Affiliations: 1: Consorzio Venezia Ricerche Marghera Venice Italy 2: Land Quality Management University of Nottingham Nottingham United Kingdom 3: Department of Environmental Sciences University Ca' Foscari of Venice Venice Italy
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