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首页> 外文期刊>Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group >'Out with the Old?' Why coarse spatial datasets are still useful for catchment-scale investigations of sediment (dis) connectivity
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'Out with the Old?' Why coarse spatial datasets are still useful for catchment-scale investigations of sediment (dis) connectivity

机译：用旧的？ 为什么粗糙的空间数据集仍然可用于沉积物（DIS）连接的集水区规模调查

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摘要

The increasing popularity of remote sensing techniques has created numerous options for researchers seeking spatial datasets, especially digital elevation models (DEMs), for geomorphic investigations. This yields an important question regarding what DEM resolution is most appropriate when answering questions of geomorphic significance. The highest possible resolution is not always the best choice for a particular research aim, and DEM resolution should be tailored to fit both the scale of investigation and the simplicity/complexity of modelling processes applied to the dataset. We find that DEM resolution has a significant effect on a simple model of bed load sediment connectivity in the Lockyer Valley, Queensland. We apply a simple bed load transport threshold to catchment DEMs at three different resolutions -1m, 5 m, and 25 m. We find that using a 1m resolution DEM generates numerous disconnections along tributary channel networks that underestimates the sediment contributing area, i.e. effective catchment area (ECA), of seven tributary basins of Lockyer Creek. Utilizing a coarser (lower-resolution) DEM helps eliminate erroneous disconnections, but can reduce the detail of stream network definition. We find that the 25m resolution DEM provides the best measure of ECA for comparing sediment connectivity between tributary catchments. The utility of simple models and coarse-resolution datasets is important for undertaking large, catchment-scale geomorphic investigations. As catchment-scale investigations are becoming increasingly entwined with river management and rehabilitation efforts, scientists need not embrace an 'out with the old' philosophy. Simple models and coarse-resolution datasets can help better integrate geomorphic research with management strategies and provide inexpensive and quick first-order insights into catchment-scale processes that can help focus future management efforts. Copyright (C) 2017 John Wiley & Sons, Ltd.
机译：遥感技术的越来越普及为寻求空间数据集，尤其是数字高度模型（DEM）进行地貌调查的研究人员创造了许多选择。这产生了一个重要问题，了解在回答地貌意义问题时最合适的。最高可能的分辨率并不总是对特定研究目标的最佳选择，并且DEM分辨率应根据调查规模和应用于数据集的建模过程的简单/复杂性。我们发现DEM解决方案对昆士兰州洛克莱河谷的床荷载连通性的简单模型具有显着影响。我们将简单的床加载运输阈值应用于三种不同的分辨率-1m，5米和25米的集水区。我们发现，使用1M分辨率的DEM沿着支流渠道网络产生多次断开，这些通道网络低估了沉积物贡献区域，即洛克利河街道七条支流盆地的有效集水区（ECA）。利用较粗糙（较低分辨率）DEM有助于消除错误的断开连接，但可以降低流网络定义的细节。我们发现，25米的决议DEM提供了用于比较支路集水区之间的沉积物连通性的最佳衡量标准。简单模型和粗分辨率数据集的效用对于承担大型集水区的地貌调查很重要。随着集水区的调查越来越越来越始于河流管理和康复努力，科学家不需要与旧的哲学抱有“出来”。简单的模型和粗分辨率数据集可以帮助更好地将地貌研究与管理策略集成，并将廉价且快速的首次见解提供给集水区的过程，以帮助关注未来的管理努力。版权所有（c）2017 John Wiley＆Sons，Ltd。

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