The influence of hillslope processes on large-scale landform evolution

山坡过程对大尺度地貌演化的影响

• 批准号: 432703650
• 负责人: Professor Dr. Stefan Hergarten
• 金额: --
• 依托单位: Lehrstuhl für Oberflächennahe Geophysik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/432703650?language=en
• 关键词: influence; hillslope; processes; large; scale

Landform evolution modeling has received growing interest not only in geomorphology over the last decades, but also in the context of tectonics and climate change. Most of the contemporary studies in this field refer to large-scale fluvial erosion where the established differential equations are not very complicated, and efficient numerical implementations have become available. In contrast, processes at the hillslope scale are more complex, and there is little consensus about appropriate modeling approaches.Although the susceptibility of hillslope processes to changes in climate and vegetation may be even higher than that of fluvial erosion, hillslope processes have been addressed in numerical models not very often. In particular, the interaction between hillslope processes and fluvial erosion has apparently been addressed only in a few studies. Fluvial erosion is a major long-term driver of hillslope processes. In turn, the delivery of sediments from the hillslopes to the rivers introduces a strong feedback. While hillslope processes in general reduce relief, this feedback increases the steepness of the rivers required for balancing uplift and may thus even increase the large-scale relief.The project attempts to quantify the interaction between hillslope processes and fluvial erosion with focus on large-scale landform evolution. Different modeling approaches ranging from the simplest linear diffusion equation to statistical, event-based landslide models will be implemented and investigated. Beyond quantifying the effect of these processes, focus will be on the question how the applicability of the different models under given conditions can be assessed by analyzing real topographies, and how the respective model parameters can be estimated.

在过去的几十年里，地貌演化模型不仅在地貌学中，而且在构造和气候变化的背景下受到越来越多的关注。该领域的大多数当代研究都涉及大规模河流侵蚀，其中建立的微分方程并不是很复杂，并且已经可以进行有效的数值实现。相比之下，在山坡尺度上的过程是更复杂的，并有适当的模拟approaches.Although在气候和植被变化的山坡过程的敏感性可能比河流侵蚀更高的，山坡过程已经在数值模式中解决了不太常见的共识。特别是，山坡过程和河流侵蚀之间的相互作用显然只在少数研究中得到了解决。 河流侵蚀是山坡过程的主要长期驱动力。反过来，沉积物从山坡到河流的输送又引入了强烈的反馈。 虽然一般的山坡过程减少救济，这种反馈增加了河流的陡峭度所需的平衡隆起，因此，甚至可能增加大规模relieve.The项目试图量化山坡过程和河流侵蚀之间的相互作用，重点是大规模的地貌演变。不同的建模方法，从最简单的线性扩散方程的统计，基于事件的滑坡模型将实施和调查。除了量化这些过程的影响，重点将是如何在给定条件下的不同模型的适用性，可以通过分析真实的地形评估的问题，以及如何各自的模型参数可以估计。