The effect of DEM resolution on Topographic Wetness Index calculation and visualization

IF 3.1 Q2 ENGINEERING, GEOLOGICAL International Journal of Engineering and Geosciences Pub Date : 2022-07-24 DOI:10.26833/ijeg.1110560
A. Altunel
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引用次数: 1

Abstract

Topographic Wetness Index, also known as the compound topographic index, (TWI) is a topographic indicator that calculates the potential of where water is likely to accumulate during excessive precipitation cycles resulting from abrupt atmospheric anomalies. High index values represent serious potential of water accumulation due to low slope, and the opposite for high slope. As expected from the term, slope, Digital Elevation Model (DEM) datasets play an important role in the calculation of TWI. DEMs are produced utilizing tachometry, GPS benchmarking, UAV, aerial or satellite image capture and LIDAR capabilities. However, no matter how it is generated from, a DEM is as good as the actual ground sampling algorithm, on which the final resolution is based. Using five different DEM resolutions coming from three global and one national presented in two different setting coverages, upper feeder basin of Bozkurt sub-province, Kastamonu, was analyzed emphasizing the urbanized part of the sub-province, which was devastated during the August 11th,2021 flood. Coarser resolution missed the overall precision while the finer resolution captured it nicely. On the flip side, finer resolution excessively fragmented the questioned area while the coarser resolution formed a unity coinciding with the destructed area recorded during the event.
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DEM分辨率对地形湿度指数计算和可视化的影响
地形湿度指数,也称为复合地形指数(TWI),是一种地形指标,用于计算大气突然异常导致的过度降水周期期间可能积水的可能性。高指标值代表低坡度导致的严重积水潜力,而高坡度则相反。正如预期的那样,斜率、数字高程模型(DEM)数据集在TWI的计算中发挥着重要作用。DEM是利用转速表、GPS基准、无人机、航空或卫星图像捕获和激光雷达功能制作的。然而,无论DEM是如何生成的,它都与最终分辨率所基于的实际地面采样算法一样好。使用来自三个全球和一个国家的五种不同DEM分辨率,在两个不同的环境覆盖范围内,对博兹库尔特次省卡斯塔莫努的上游支流流域进行了分析,强调了该次省的城市化部分,该部分在2021年8月11日的洪水中遭到破坏。粗糙的分辨率没有达到整体精度,而精细的分辨率很好地捕捉到了它。另一方面,更精细的分辨率过度分散了被质疑的区域,而更粗糙的分辨率与事件期间记录的破坏区域形成了一致。
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CiteScore
4.00
自引率
0.00%
发文量
12
审稿时长
30 weeks
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