基于Copernicus DEM 30的大尺度河道数字高程模型重构方法

李玉建, 赵明成, 李琳, 戴文鸿, 安鹏

长江科学院院报 ›› 2026, Vol. 43 ›› Issue (2) : 201-210.

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长江科学院院报 ›› 2026, Vol. 43 ›› Issue (2) : 201-210. DOI: 10.11988/ckyyb.20241305
水利信息化

基于Copernicus DEM 30的大尺度河道数字高程模型重构方法

作者信息 +

Method of Reconstructing Digital Elevation Model for Large-scale River Based on Copernicus DEM 30

Author information +
文章历史 +

摘要

为解决在大尺度河道数值模拟中河道遥感影像信息不全和实测地形高程资料部分缺失导致河道数字高程模型难以构建的问题,应用塔里木河阿拉尔—新渠满河段2011年相关水文资料与实测地形高程资料,通过ArcGIS软件结合Google Earth历史影像与Copernicus DEM 30数据绘制河道临水线与外缘线,基于二次插值、平均差值法与局部加权回归算法,结合断面高程数据,完善河道地形高程。通过Mesh Generator组件,重构该河段的河道数字高程模型,并检验数据在MIKE 21水动力-泥沙模块数值模拟中的可行性。结果表明:通过模拟得到的流速、流量-水位关系及河道冲淤变化与实测资料对比,各项指标的误差均符合相关技术规程的允许偏差要求;平均差值法可以弥补主槽与河漫滩高程补衔接不自然的问题;局部加权回归算法能有效平滑河道主槽沿程断面高程数据。研究成果旨在丰富河道地形高程数据的重构方法,为解决大尺度河道DEM难以构建问题提供一种新思路。

Abstract

[Objective] To address the challenges of incomplete remote sensing imagery and insufficient measured terrain data in large-scale river numerical simulations, this study proposes a novel method for river channel terrain reconstruction that integrates Copernicus DEM 30 data with limited measured data, aiming to solve the problem of constructing large-scale river channel DEMs in data-scarce areas and to verify its applicability in MIKE 21 hydrodynamic-sediment numerical simulations. [Methods] This study took the Alar-Xinquman river section of the Tarim River as the study area and utilized relevant hydrological data and measured terrain elevation data from 2011 as the basic dataset. The specific reconstruction process was as follows: (1) Using ArcGIS software, combined with Google Earth historical imagery and Copernicus DEM 30, the inner and outer bank lines of the river channel were delineated by scaling overlapping imagery proportionally to determine the main channel boundary.(2) The river DEM was corrected stepwise. First, the quadratic interpolation method was applied to densify the elevation data of the main channel cross-sections. Second, the mean difference method was used to calculate the deviations in elevation between measured points and the Copernicus DEM at corresponding locations, enabling an overall vertical correction of the Copernicus DEM data. Next, a locally weighted regression (LOESS) algorithm was introduced to correct the longitudinal cross-section elevations of the main channel, smoothing the riverbed terrain and generating the main channel DEM. Finally, the main channel and floodplain DEM data were merged to construct the complete river channel DEM.(3) The reconstructed DEM was imported into the MIKE 21 hydrodynamic-sediment module. Measured data such as water level, flow, and sediment concentration were selected as boundary conditions for numerical simulation. The accuracy and reliability of the reconstructed DEM were evaluated by comparing the errors between the simulated and measured values. [Results] Comparison between numerical simulation results and measured data revealed that the results for flow velocity, flow-stage relationships, and river channel erosion-deposition tests all met the allowable deviation requirements specified in relevant technical standards. This indicated that the river channel DEM constructed in this study was reasonably suitable for two-dimensional hydrodynamic-sediment numerical simulations. [Conclusion] (1) The river channel terrain reconstruction method proposed in this study, integrating Copernicus DEM 30, quadratic interpolation, mean difference method, and locally weighted regression (LOESS) algorithm, can effectively address the lack of measured underwater terrain data for large-scale rivers. It demonstrates superior continuity and accuracy compared to traditional single-interpolation methods.(2) The hydrodynamic model established based on the reconstructed DEM achieves simulation accuracy within the allowable deviation limits specified by relevant technical standards. This method is characterized by low cost, high efficiency, and strong applicability, providing a practical new approach and technical support for the numerical simulation of large-scale rivers with scarce data, such as the Tarim River.

关键词

大尺度河道 / 数字高程模型(DEM) / Copernicus DEM 30 / 塔里木河干流

Key words

large-scale river / digital elevation model (DEM) / Copernicus DEM 30 / main stream of Tarim River

引用本文

导出引用
李玉建, 赵明成, 李琳, . 基于Copernicus DEM 30的大尺度河道数字高程模型重构方法[J]. 长江科学院院报. 2026, 43(2): 201-210 https://doi.org/10.11988/ckyyb.20241305
LI Yu-jian, ZHAO Ming-cheng, LI Lin, et al. Method of Reconstructing Digital Elevation Model for Large-scale River Based on Copernicus DEM 30[J]. Journal of Changjiang River Scientific Research Institute. 2026, 43(2): 201-210 https://doi.org/10.11988/ckyyb.20241305
中图分类号: TV133 (河渠水力学)   

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基金

新疆维吾尔自治区重点研发项目(2022B03024-2)
国家自然科学基金项目(51469032)

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