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面向输沙过程模拟的改进流向算法

沈心怡 代文 刘爱利 陶宇 赵成义

干旱区地理2024,Vol.47Issue(8):1380-1387,8.
干旱区地理2024,Vol.47Issue(8):1380-1387,8.DOI:10.12118/j.issn.1000-6060.2023.408

面向输沙过程模拟的改进流向算法

An improved flow direction algorithm for sediment transport simulations

沈心怡 1代文 2刘爱利 2陶宇 3赵成义2

作者信息

  • 1. 南京信息工程大学地理科学学院,江苏 南京 211800||南京师范大学地理科学学院,江苏 南京 210023
  • 2. 南京信息工程大学地理科学学院,江苏 南京 211800
  • 3. 南京林业大学南京现代林业协同创新中心,江苏 南京 210037
  • 折叠

摘要

Abstract

Sediment transport process in catchments is a critical research area in the fields of geomorphology and surface dynamics.Numerous researchers have applied flow direction algorithms and topographic change detec-tion to spatially infer sediment transport.However,the simple application of flow direction algorithms often leads to mass conservation issues during simulation.Therefore,an improved flow direction algorithm for sediment transport process simulation was developed.This algorithm ensures mass conservation by checking whether the sediment transport rate is negative;if it is negative,reset the rate to zero to prevent the spread of negative sedi-ment transport rates downstream.Experiments were conducted using the D8,MFD-se,and MFD-md algorithms with the proposed improvements.The results are as follows:(1)The improved flow direction algorithm successfully eliminated negative values in the simulated sediment transport rate,thereby achieving the intended purpose.(2)The performance of the improved D8 algorithm increased by 1.26%.(3)The performance of the improved MFD-se algo-rithm increased by 4.17%,considerably enhancing sediment transport process simulations.(4)The performance of the improved MFD-md algorithm increased by 4.54%,further boosting the effectiveness of the sediment trans-port process simulations.

关键词

流向算法/数字高程模型/输沙率/质量守恒/地形变化

Key words

flow direction algorithm/digital elevation model/sediment transport rate/mass conservation/top-ographic change

引用本文复制引用

沈心怡,代文,刘爱利,陶宇,赵成义..面向输沙过程模拟的改进流向算法[J].干旱区地理,2024,47(8):1380-1387,8.

基金项目

国家自然科学基金(42301478,42130405) (42301478,42130405)

江苏省高等学校自然科学研究项目(22KJB170016)资助 (22KJB170016)

干旱区地理

OA北大核心CSTPCD

1000-6060

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