caa a22 4500 467922330 CHVBK 20180406152920.0 cr unu---uuuuu 170328e20060401xx s 000 0 eng 10.1007/s00477-005-0016-3 doi (NATIONALLICENCE)springer-10.1007/s00477-005-0016-3 A stochastic model of surface contaminant releases to support assessment of site contamination at a former industrial site [Elektronische Daten] [R. Mackay, J.A. Morakinyo] An industrial site is usually contaminated by accidental (and occasionally intentional) releases of pollutants to the environment from various operations carried out on that site. Consequently, the pattern of contamination created during the life of the site depends in part, at least, on the pattern of operations. Thus, the assessment of the pattern of contamination over the site should be improved: if it is possible to identify the pattern of operations on the site, the duration of the different activities and the perceived likelihood of releases from the different operations. A stochastic model has been developed that can be used to simulate alternative realizations of contaminant releases (duration, extent and timing). The model employs release zones associated with particular activities or groups of activities on the site and the areas of each of the zones may be independent or overlapping. The period of activity in each zone is obtained from the site records, while the likelihood and extent of contamination in each zone is inferred from an analysis of the contamination data obtained by point sampling. The form of the model, the method of inference of the model parameter values from the site data and the application of the model to the study site are presented. The release model has been developed as part of a suite of stochastic models for site ground contamination analysis. The stochastic soil and transport models and the application of the integrated modelling system are described in separate papers. Springer-Verlag, 2005 Contaminant release nationallicence Stochastic simulation nationallicence Contaminated site assessment nationallicence Site contamination nationallicence Site characterisation nationallicence Mackay R. Earth Sciences, The University of Birmingham, B15 2TT, Birmingham, UK aut Morakinyo J.A. Centre for Land Use and Water Resources Research (CLUWRR), University of Newcastle, NE1 7RU, Newcastle upon Tyne, UK aut Stochastic Environmental Research and Risk Assessment Springer-Verlag 20/3(2006-04-01), 213-222 1436-3240 20:3<213 2006 20 477 https://doi.org/10.1007/s00477-005-0016-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00477-005-0016-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Mackay R. Earth Sciences, The University of Birmingham, B15 2TT, Birmingham, UK aut NATIONALLICENCE 700 1- Morakinyo J.A. Centre for Land Use and Water Resources Research (CLUWRR), University of Newcastle, NE1 7RU, Newcastle upon Tyne, UK aut NATIONALLICENCE 773 0- Stochastic Environmental Research and Risk Assessment Springer-Verlag 20/3(2006-04-01), 213-222 1436-3240 20:3<213 2006 20 477 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer