Modelling Geomorphic Systems: Landscape Evolution

Modelling Geomorphic Systems: Landscape Evolution
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地貌系统建模:景观演化

DOI:
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发表时间:
2016
期刊:
影响因子:
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通讯作者:
Declan A. Valters
Declan A. Valters
中科院分区:
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文献类型:
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作者:
Declan A. Valters

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景观演化模型(LEMs)为地貌学家提供了一种研究景观如何响应外部强迫(如气候和构造)以及内部过程规律的方法。lem通常包含一系列不同的地貌运输规律,以一种模拟三维地形表面随时间向前发展的方式整合在一起。lem作为研究工具的优势在于它们能够快速测试景观演变的许多不同假设,通过在模型中分离它们来调查特定过程的重要性,并对景观中的地貌变化进行定量预测。lem可以应用于持续数天到数百万年的实时情况,但在模型运行时将其减少到几分钟或几小时。本章简要介绍了景观演化建模的基本原理,然后概述了当前可用的常用模型的特征,以及最近文献中的示例应用。本文还讨论了如何处理景观演化建模、校准和确认模型预测中的常见缺陷。
Landscape evolution models (LEMs) present the geomorphologist with a means of investigating how landscapes evolve in response to external forcings, such as climate and tectonics, as well as internal process laws. LEMs typically incorporate a range of different geomorphic transport laws integrated in a way that simulates the evolution of a 3D terrain surface forward through time. The strengths of LEMs as research tools lie in their ability to rapidly test many different hypotheses of landscape evolution, to investigate the importance of particular processes by isolating them within a model, and to make quantitative predictions of geomorphic change within landscapes. LEMs can be applied to situations lasting from days to millions of years in real time, but reduce this to minutes or hours in model run-time. This chapter presents a brief introduction to the underlying principles of landscape evolution modelling, followed by an overview of the features of currently available, commonly-used models, and example applications from recent literature. Suggestions for dealing with common pitfalls in landscape evolution modelling, calibration, and confirming model predictions are also discussed.
DOI: 10.1016/j.cageo.2012.02.029
发表时间: 2012-11-01
影响因子: 4.4
作者:
Gomez-Gesteira, M.;Rogers, B. D.;Dominguez, J. M.
通讯作者: Dominguez, J. M.
DOI: 10.1002/2013jf002981
发表时间: 2014-02
期刊: Journal of Geophysical Research: Earth Surface
影响因子: --
作者:
S. Mudd;Mikael Attal;D. Milodowski;S. Grieve;Declan A. Valters
通讯作者: S. Mudd;Mikael Attal;D. Milodowski;S. Grieve;Declan A. Valters