Integrated environmental modelling to solve real world problems : methods, vision and challenges / edited by A.T. Riddick, H. Kessler and J.R.A. Giles, British Geological Survey, UK.

The discipline of Integrated Environmental Modelling (IEM) has developed in order to solve complex environmental problems, for example understanding the impacts of climate change on the physical environment. IEM provides methods to fuse or link models together, this in turn requires facilities to ma...

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Bibliographic Details
Corporate Author: Geological Society of London (Issuing body)
Other Authors: Riddick, A. T. (Andrew T.) (Editor), Kessler, H. (Holger) (Editor), Giles, J. R. A. (Editor)
Language:English
Published: London : Geological Society, 2017.
Series:Geological Society special publication ; no. 408.
Subjects:
Physical Description:vi, 274 pages : illustrations (some color), maps (some color) ; 26 cm.
Format: Book

MARC

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245 0 0 |a Integrated environmental modelling to solve real world problems :  |b methods, vision and challenges /  |c edited by A.T. Riddick, H. Kessler and J.R.A. Giles, British Geological Survey, UK. 
264 1 |a London :  |b Geological Society,  |c 2017. 
300 |a vi, 274 pages :  |b illustrations (some color), maps (some color) ;  |c 26 cm. 
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490 1 |a Geological Society special publication ;  |v no. 408 
504 |a Includes bibliographical references and index. 
505 0 |a Introduction to integrated environmental modelling to solve real world problems: methods, vision and challenges -- Model fusion at the British Geological Survey: experiences and future trends -- Integrated environmental modelling: achieving the vision -- From integration to fusion: the challenges ahead -- Splicing recharge and groundwater flow models in the Environment Agency National Groundwater Modelling System -- 3D geological models to groundwater flow models: data integration between GSI3D and groundwater flow modelling software GMS and FeFlow® -- The potential for the use of model fusion techniques in building and developing catastrophe models -- A stochastic bioenergetics model-based approach to translating large river flow and temperature into fish population responses: the pallid sturgeon example -- Hierarchical stochastic modelling of large river ecosystems and fish growth across spatio-temporal scales and climate models: the Missouri River endangered pallid sturgeon example -- Geological map fusion: OneGeology-Europe and INSPIRE -- Integrated Environmental Modelling: human decisions, human challenges -- Socio-hydrology modelling for an uncertain future, with examples from the USA and Canada -- Thinking platforms for smarter urban water systems: fusing technical and socio-economic models and tools -- The use of data-mining techniques for developing effective decision support systems: a case study of simulating the effects of climate change on coastal salinity intrusion -- Fusing and disaggregating models, data and analysis tools for a dynamic science-society interface -- Future of technology in NERC data models and informatics: outputs from InformaTEC -- The uncertainty cascade in model fusion. 
520 3 |a The discipline of Integrated Environmental Modelling (IEM) has developed in order to solve complex environmental problems, for example understanding the impacts of climate change on the physical environment. IEM provides methods to fuse or link models together, this in turn requires facilities to make models discoverable and also to make the outputs of modelling easily visualized. The vision and challenges for IEM going forward are summarized by leading proponents. Several case studies describe the application of model fusion to a range of real-world problems including integrating groundwater and recharge models within the UK Environment Agency, and the development of 'catastrophe' models to predict better the impact of natural hazards. Communicating modelling results to end users who are often not specialist modellers is also an emerging area of research addressed within the volume. Also included are papers that highlight current developments of the technology platforms underpinning model fusion.--  |c Source other than Library of Congress. 
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700 1 |a Giles, J. R. A.,  |e editor.  |0 http://id.loc.gov/authorities/names/n84111224 
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