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New & Forthcoming Titles | Stochastic Environmental Research and Risk Assessment – incl. option to publish open access

Stochastic Environmental Research and Risk Assessment

Stochastic Environmental Research and Risk Assessment

Editor-in-Chief: George Christakos

ISSN: 1436-3240 (print version)
ISSN: 1436-3259 (electronic version)

Journal no. 477

Springer Open Access
  • Pursues stochastic and probabilistic approaches to environmental sciences and engineering
  • Studies interactions of earth and atmospheric environments with people and ecosystems
  • Brings together stochastic modeling research papers in various fields of environmental sciences
  • 97% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again

Stochastic Environmental Research and Risk Assessment publishes 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. Its core aim is to bring together stochastic modeling research papers 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. Coverage includes modeling, measurements and instrumentation in the areas of 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 modeling; and more.  See full Aims and Scope for more details.

There are no page charges to publish in this journal.

All articles accepted after February 1, 2014 will have free color online and in print.

Related subjects » Computational Intelligence and Complexity - Earth Sciences & Geography - Physical & Information Science - Pollution and Remediation - Probability Theory and Stochastic Processes

Impact Factor: 2.673 (2013) * 

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  • Journal Citation Reports®, Thomson Reuters
    2013 Impact Factor
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  • Aims and Scope

    Aims and Scope

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    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 considered 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.

    - Models using stochastic differential equations stochastic or partial differential equations.

    - Hazardous waste site characterization.                                   

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