SRTM Data Application for Extrapolation of Rating Curves (On the Example of the Iya River at the Tulun Gauge)

E. Sutyrina, T. I. Antonova
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引用次数: 1

Abstract

The manuscript discusses the method developed by the authors for restoring the cross-sectional area curve and extrapolate rating curves for the Iya River at the Tulun gauge, using the Shuttle Radar Topography Mission (SRTM) data. As part of the work, the systematic correction for the study area was determined to recalculate altitudes from a digital terranean model according to SRTM topographic data to the Baltic Height System. The river width data from SRTM-based information after systematic correction are in good agreement with the width from large-scale satellite images as well as with the field width measurements at appropriate levels. The paper presents the results of the extrapolation of the rating curve, using the Chezy equation approach, the Stevens-Velikanov technique and the stage-area and stage-velocity method, using the area curve and the average depth curve obtained on SRTM materials. For each research method used in the study, by comparing with the reference of rating curve, the values of the average probable deviation were calculated. As part of the study the extrapolated rating curve is presented as an analytical equation, and the approximation error is determined.
SRTM数据在额定值曲线外推中的应用(以图伦库区伊雅河为例)
本文讨论了作者利用航天飞机雷达地形任务(SRTM)数据,在图伦测量站恢复伊雅河断面面积曲线和外推额定值曲线的方法。作为工作的一部分,确定了研究区域的系统校正,根据SRTM地形数据将数字地面模型的高度重新计算到波罗的海高度系统。经系统校正后的srtm河道宽度数据与大尺度卫星图像的河道宽度以及适当水平上的野外实测河道宽度具有较好的一致性。本文介绍了利用SRTM材料的面积曲线和平均深度曲线,采用Chezy方程法、Stevens-Velikanov技术和阶段面积和阶段速度法对分级曲线进行外推的结果。对于研究中使用的每一种研究方法,通过与评级曲线的参考值进行比较,计算出平均可能偏差的值。作为研究的一部分,外推的评级曲线以解析方程的形式呈现,并确定了近似误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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