Environmental Modelling and Software

Resource Type:
Impact Factor:
4.81 (2019)

Environmental Modelling and Software aims “to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.” Of particular relevance to i2S, topics covered include:

  • “Generic and pervasive frameworks, techniques and issues – including system identification theory and practice, model conception, model integration, model and/or software evaluation, sensitivity and uncertainty assessment, visualization, scale and regionalization issues.
  • Integrated assessment and management of systems (river basins, regions etc.) for enhancing sustainability outcomes – including linked socioeconomic and biophysical models that may be developed with stakeholders for understanding systems, communication and learning, and improving system outcomes.
  • Artificial Intelligence (AI) techniques and systems, such as knowledge-based systems / expert systems, case-based reasoning systems, data mining, multi-agent systems, Bayesian networks, artificial neural networks, fuzzy logic, or knowledge elicitation and knowledge acquisition methods.
  • Decision support systems and environmental information systems – implementation and use of environmental data and models to support all phases and aspects of decision making, in particular supporting group and participatory decision making processes. Intelligent Environmental Decision Support Systems can include qualitative, quantitative, mathematical, statistical, AI models and meta-models.”

The journal endorses the International Environmental Modelling and Software Society (iEMSs) and its biennial scientific conference.

Website: https://www.journals.elsevier.com/environmental-modelling-and-software/

Posted: March 2016
Last modified: July 2020