Introduction to integrated environmental modelling to solve real world problems: methods, vision and challenges
Author(s) -
Andrew Riddick,
Andrew Hughes,
Holger Kessler,
Jeremy Giles
Publication year - 2016
Publication title -
geological society london special publications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.673
H-Index - 132
eISSN - 2041-4927
pISSN - 0305-8719
DOI - 10.1144/sp408.17
Subject(s) - computer science , management science , artificial intelligence , data science , engineering
Across the world, stakeholders are asking questions of their governments and decision makers to quantify the risks of environmental threats to their well-being. These questions manifest themselves as ‘deceptively simple questions’, which are easy to articulate but difficult to solve. An example of which is: ‘how much will the eruption of an Icelandic volcano cost the UK economy’. Answering these questions requires predictions of the interaction of multiple environmental processes, this requires the development and maintenance of systems that allow these processes to be simulated, and that is the nascent science of integrated environmental modelling (IEM). Such processes may be long-term (e.g. those that are impacted by climate change) or short-term threats, such as the impact of drought on UK agriculture or the impact of space weather on energy supply systems
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