Christensen, O. F. and Cassiani, G. and Diggle, Peter J. and Ribeiro, P. J. and Andereotti, G. (2004) Statistical estimation of the relative efficiency of natural attenuation mechanisms in contaminated aquifers. Stochastic Environmental Research and Risk Assessment, 18. pp. 339-350. ISSN 1436-3259
Full text not available from this repository.Abstract
Stochastic Environmental Research and Risk Assessment (SERRA) will publish research papers reviews and technical notes on stochastic and probabilistic approaches to environmental sciences and engineering including interactions of earth and atmospheric environments with people and ecosystems. The basic idea is to bring together research papers on stochastic modelling in various fields of environmental sciences and to provide an interdisciplinary forum for the exchange of ideas for communicating on issues that cut across disciplinary barriers and for the dissemination of stochastic techniques used in different fields to the community of interested researchers. Original contributions will be condisered dealing with modelling (theoretical and computational) measurements and instrumentation in one or more of the following topical areas: - Spatiotemporal analysis and mapping of natural processes. - Enviroinformatics. - Environmental risk assessment reliability analysis and decision making. - Surface and subsurface hydrology and hydraulics. - Multiphase porous media domains and contaminant transport modelling. - Hazardous waste site characterization. - Stochastic turbulence and random hydrodynamic fields. - Chaotic and fractal systems. - Random waves and seafloor morphology. - Stochastic atmospheric and climate processes. - Air pollution and quality assessment research. - Modern geostatistics. - Mechanisms of pollutant formation emission exposure and absorption. - Physical chemical and biological analysis of human exposure from single and multiple media and routes; control and protection. - Bioinformatics. - Probabilistic methods in ecology and population biology. - Epidemiological investigations.