dem空间数据分辨率初步分析

Chi Chen-xing, Wang Yue-kui, Wang Ling, Hao Zhen-chun
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引用次数: 2

摘要

利用分布式水文模型解释地形、土壤、植被、气候等信息对研究流域各点的影响。分布式水文模型的输入和参数随时间和空间的变化而变化。模型的标定依赖于网格的分辨率。为了描述和控制空间变化,确保正确的分辨率是很重要的。分布式水文建模是基于从数字高程模型(DEM)中提取的流域特征。不同DEM分辨率提取的流域特征在统计上存在差异。对不同分辨率提取的流域特征值(如高程、坡度、流域网长度、地形指数等)进行统计分析。熵的概念在本研究中被认为是一种很有前途的方法,因为它定量地测量了一个对象(分水岭)产生的信息。大熵意味着大量的信息。我们发现,分辨率越粗,地形越平滑。随着DEM网格尺寸的增大,最大高程和各高程减小,平均高程和最小高程增大;最大梯度、平均梯度和各梯度减小;最大地形指数和各种地形指数下降;最小地形指数和平均地形指数增大;流域网络长度减小。这说明了采样的平滑效果。随着DEM网格尺寸的增大,熵值越来越小。这意味着分辨率较粗的DEM具有较少的信息。信息的减少与流域特征值的变化是一致的。我们比较了平均梯度的相对变化和熵的相对变化。我们发现它们具有近似指数关系。地形的平整度会减缓汇流速度,而流域网长度的减小会缩短汇流时间,并对汇流速度的影响进行了分析。
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A PRELIMINARY ANALYSIS OF DEM SPACE DATA RESOLUTION
Distributed hydrological model is used to explain the effect of information (such as terrain, soil, vegetation and climate) on every points of the study basin. The inputs and parameters of distributed hydrological model change with space and time. The model's calibration depends on the resolution of grid. In order to describe and control the space change, it is important to make sure right resolution. Distributed hydrological modeling is base on the watershed characteristics extracted from digital elevation model (DEM). Watershed characteristics extracted from different DEM resolution will be statistically different. This paper statistically analyses the watershed character values (such as elevation, gradient, length of watershed network, topographic index) extracted from various resolutions. The concept of entropy has been considered a promising method in this study as it quantitatively measures the information produced by an object (watershed). Large entropy means plenty of information. We find that the coarser the resolution is, the more smoother the terrain is. Mostly, with the DEM grid size increasing, maximal elevation and various of elevation decrease, average elevation and minimal elevation increases; maximal gradient and average gradient and various of gradient decrease; maximal topographic index and various of topographic index decrease; minimal topographic index and average of topographic index increases; length of watershed network decreases. This shows the smoothness effect of resample. With the DEM grid size increasing, entropy becomes smaller and smaller. This means DEM with coarser resolution has less information. Decrease of information is in consistent with change of watershed character values. We compare the relative change of average gradient with relative change of entropy. We find that they have approximately exponential relation. The smoothness of terrain may slower the conflux, but decrease of length of watershed network will shorten conflux time, some analyses of their effects on the velocity of flow have been done.
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