Modelling the response of river systems to environmental change: progress, problems and prospects for palaeo-environmental reconstructions

Van De Wiel, Marco J; Macklin, Mark G; Van De Wiel, Marco J.; Coulthard, Tom J.; Macklin, Mark G.; Lewin, John

Abstract

Over the last decade several computational models, and several types of model, have been developed to simulate the response of river systems to environmental change over time scales of decades to millennia: hydrological models, flood inundation models, channel morphology models, channel network models, models of river meandering and river braiding, alluvial stratigraphy models, and landscape evolution models. Each type of model simulates different aspects of a river's response to changes in environmental inputs such as climate and land-use - and to changes in these inputs. And each type of model has its abilities, advantages and limitations. We provide an overview of the different types of model that have been developed, and we evaluate their suitability for testing hypotheses about past environmental conditions, as well as for investigating the response of alluvial river systems to future environmental change. Additionally, we discuss the general issues and problems of computational modelling (e.g. scale and resolution, data availability, process representation, process parameterization, model calibration, non-linearity, and uncertainty), and the extent to which these hamper the usefulness of the models as a tool in environmental landscape studies. Finally, we identify trends in computational modelling research to outline possible future directions of the discipline.

Citation

Van De Wiel, M. J., Coulthard, T. J., Macklin, M. G., & Lewin, J. (2011). Modelling the response of river systems to environmental change: progress, problems and prospects for palaeo-environmental reconstructions. Earth-Science Reviews, 104(1-3), 167-185. https://doi.org/10.1016/j.earscirev.2010.10.004

• Journal Article Type: Article
• Acceptance Date: Oct 8, 2010
• Online Publication Date: Oct 16, 2010
• Publication Date: 2011-01
• Journal: Earth-Science Reviews
• Print ISSN: 0012-8252
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 104
• Issue: 1-3
• Pages: 167-185
• DOI: https://doi.org/10.1016/j.earscirev.2010.10.004
• Keywords: Computational modelling; Environmental modelling; River systems; Fluvial geomorphology; Quaternary
• Public URL: https://hull-repository.worktribe.com/output/405336
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S001282521000139X?via%3Dihub