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首页> 外文期刊>Philosophical Transactions of the Royal Society of London, Series B. Biological Sciences >Optimality approaches to describe characteristic fluvial patterns on landscapes
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Optimality approaches to describe characteristic fluvial patterns on landscapes

机译:描述景观特征河流格局的最优方法

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摘要

Mother Nature has left amazingly regular geomorphic patterns on the Earth's surface. These patterns are often explained as having arisen as a result of some optimal behaviour of natural processes. However, there is little agreement on what is being optimized. As a result, a number of alternatives have been proposed, often with little a priori justification with the argument that successful predictions will lend a posteriori support to the hypothesized optimality principle. Given that maximum entropy production is an optimality principle attempting to predict the microscopic behaviour from a macroscopic characterization, this paper provides a review of similar approaches with the goal of providing a comparison and contrast between them to enable synthesis. While assumptions of optimal behaviour approach a system from a macroscopic viewpoint, process-based formulations attempt to resolve the mechanistic details whose interactions lead to the system level functions. Using observed optimality trends may help simplify problem formulation at appropriate levels of scale of interest. However, for such an approach to be successful, we suggest that optimality approaches should be formulated at a broader level of environmental systems' viewpoint, i.e. incorporating the dynamic nature of environmental variables and complex feedback mechanisms between fluvial and non-fluvial processes.
机译:大自然母亲在地球表面留下了惊人的规则地貌图案。通常将这些模式解释为是由于自然过程的某些最佳行为而产生的。但是,关于正在优化的内容几乎没有共识。结果,已经提出了许多替代方案,通常没有先验论据,而论点是成功的预测将为假设的最优性原理提供后验支持。鉴于最大熵产生是试图从宏观特征预测微观行为的最优性原理,本文对类似方法进行了综述,目的是提供它们之间的比较和对比,以实现合成。从宏观的角度来看,最佳行为的假设接近系统,而基于过程的表述则试图解决机制细节,这些细节的相互作用导致了系统级的功能。使用观察到的最优趋势可能有助于简化在适当规模的关注水平下的问题表述。但是,为使这种方法成功,我们建议应在更宽泛的环境系统观点下制定最优方法,即将环境变量的动态性质以及河流和非河流过程之间的复杂反馈机制结合在一起。

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