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首页> 外文期刊>Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group >A catchment scale evaluation of the SIBERIA and CAESAR landscape evolution models
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A catchment scale evaluation of the SIBERIA and CAESAR landscape evolution models

机译:SIBERIA和CAESAR景观演化模型的流域规模评估

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摘要

Landscape evolution models provide a way to determine erosion rates and landscape stability over times scales from tens to thousands of years. The SIBERIA and CAESAR landscape evolution models both have the capability to simulate catchment-wide erosion and deposition over these time scales. They are both cellular, operate over a digital elevation model of the landscape, and represent fluvial and slope processes. However, they were initially developed to solve research questions at different time and space scales and subsequently the perspective, detail and process representation vary considerably between the models. Notably, CAESAR simulates individual events with a greater emphasis on fluvial processes whereas SIBERIA averages erosion rates across annual time scales. This paper describes how both models are applied to Tin Camp Creek, Northern Territory, Australia, where soil erosion rates have been closely monitored over the last 10 years. Results simulating 10 000 years of erosion are similar, yet also pick up subtle differences that indicate the relative strengths and weaknesses of the two models. The results from both the SIBERIA and CAESAR models compare well with independent field data determined for the site over different time scales. Representative hillslope cross-sections are very similar between the models. Geomorphologically there was little difference between the modelled catchments after 1000 years but significant differences were revealed at longer simulation times. Importantly, both models show that they are sensitive to input parameters and that hydrology and erosion parameter derivation has long-term implications for sediment transport prediction. Therefore selection of input parameters is critical. This study also provides a good example of how different models may be better suited to different applications or research questions.
机译:景观演化模型提供了一种方法来确定数十至数千年时间范围内的侵蚀速率和景观稳定性。 SIBERIA和CAESAR景观演化模型都具有在这些时间尺度上模拟全流域侵蚀和沉积的能力。它们都是蜂窝状的,在景观的数字高程模型上运行,并表示河流和斜坡过程。但是,它们最初是为解决不同时间和空间规模的研究问题而开发的,其后,模型之间的视角,细节和过程表示形式差异很大。值得注意的是,CAESAR在模拟单个事件时更加注重河流过程,而SIBERIA则对年度时间范围内的侵蚀率进行了平均。本文介绍了这两种模型如何应用于澳大利亚北领地的锡坎普溪,在过去的十年中对土壤侵蚀率进行了密切监测。模拟10000年侵蚀的结果相似,但也发现了细微的差异,表明了两种模型的相对优势和劣势。 SIBERIA和CAESAR模型的结果与在不同时间范围内为站点确定的独立现场数据进行了很好的比较。模型之间的代表性山坡横截面非常相似。在地貌上,经过1000年的模拟集水区之间几乎没有差异,但是在更长的模拟时间中却显示出显着差异。重要的是,这两个模型都表明它们对输入参数敏感,而水文和侵蚀参数推导对沉积物运移预测具有长期影响。因此,输入参数的选择至关重要。这项研究还提供了一个很好的例子,说明不同的模型如何更好地适合于不同的应用程序或研究问题。

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