Integrated Environmental Modelling to Solve Real World Problems: Methods, Vision and Challenges
Product code: SP408
Print publication date: 01/02/2017
Geological Society of London, GSL Special Publications, Earth Resources and Economic Geology, Environmental Geology, Geoinformatics, Hydrogeology
Type: Book (Hardback)
Binding: Hardback
ISBN: 9781862396876
Author/Edited by: Edited by A.T. Riddick, H. Kessler and J.R.A. Giles
Weight: 0.82kg
Number of pages: 274
Online publication date: 03/01/2017
Lyell Collection URL: https://www.lyellcollection.org/toc/sp/408/1
£90.00
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Special Publication 408
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.
RIDDICK, A., HUGHES, A., KESSLER, H. & GILES, J. Introduction to integrated environmental modelling to solve real world problems: methods, vision and challenges
Vision Strategic Requirements and Challenges
PEACH, D., RIDDICK, A., HUGHES, A., KESSLER, H., MATHERS, S., JACKSON, C. & GILES, J. Model fusion at the British Geological Survey: experiences and future trends
MOORE, R. V. & HUGHES, A. G. Integrated environmental modelling: achieving the vision
SUTHERLAND, J., TOWNEND, I. H., HARPHAM, Q. K. & PEARCE, G. R. From integration to fusion: the challenges ahead
Case Studies
FARRELL, R., VERVERS, M., DAVISON, P., HOWLETT, P. & WHITEMAN, M. Splicing recharge and groundwater flow models in the Environment Agency National Groundwater Modelling System
PASANEN, A. H. & OKKONEN, J. S. 3D geological models to groundwater flow models: data integration between GSI3D and groundwater flow modelling software GMS and FeFlow®
ROYSE, K. R., HILLIER, J. K., HUGHES, A., KINGDON, A., SINGH, A. & WANG, L. The potential for the use of model fusion techniques in building and developing catastrophe models
WILDHABER, M. L., DEY, R., WIKLE, C. K., MORAN, E. H., ANDERSON, C. J. & FRANZ, K. J. A stochastic bioenergetics model-based approach to translating large river flow and temperature into fish population responses: the pallid sturgeon example
WILDHABER, M. L., WIKLE, C. K., MORAN, E. H., ANDERSON, C. J., FRANZ, K. J. & DEY, R. Hierarchical stochastic modelling of large river ecosystems and fish growth across spatio-temporal scales and climate models: the Missouri River endangered pallid sturgeon example
LAXTON, J. L. Geological map fusion: OneGeology-Europe and INSPIRE
Social Aspects of Integrated Environmental Modelling
GLYNN, P. D. Integrated Environmental Modelling: human decisions, human challenges
GOBER, P., WHITE, D. D., QUAY, R., SAMPSON, D. A. & KIRKWOOD, C. W. Socio-hydrology modelling for an uncertain future, with examples from the USA and Canada
MAKROPOULOS, C. Thinking platforms for smarter urban water systems: fusing technical and socio-economic models and tools
Software Solutions and Methodology
CONRADS, P. A. & ROEHL, E. A. jr. 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
ROWE, E. C., WRIGHT, D. G., BERTRAND, N. & REIS, S. Fusing and disaggregating models, data and analysis tools for a dynamic science–society interface
KINGDON, A., GILES, J. R. A. & LOWNDES, J. P. Future of technology in NERC data models and informatics: outputs from InformaTEC
BEVEN, K. & LAMB, R. The uncertainty cascade in model fusion
Index
