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机载LiDAR和模糊推理系统在黄土高原土壤侵蚀监测中的应用

邱春霞 刘晓宏 李豆 张佳淼 李朋飞

干旱区研究2024,Vol.41Issue(8):1331-1342,12.
干旱区研究2024,Vol.41Issue(8):1331-1342,12.DOI:10.13866/j.azr.2024.08.07

机载LiDAR和模糊推理系统在黄土高原土壤侵蚀监测中的应用

Application of airborne LiDAR with fuzzy inference system in soil erosion monitoring on the Loess Plateau

邱春霞 1刘晓宏 1李豆 1张佳淼 2李朋飞1

作者信息

  • 1. 西安科技大学测绘科学与技术学院,陕西 西安 710054
  • 2. 唐山师范学院资源管理系,河北 唐山 063002
  • 折叠

摘要

Abstract

The Loess Plateau is widely recognized as one of the most severely eroded regions,both within China and globally.Because of the limitations in monitoring technology,the study of soil erosion has primarily focused on areas of small-scale flow;indeed,large-scale erosion studies and field observations remain relatively scarce.The introduction of airborne LiDAR technology has opened new possibilities for high-precision,large-scale soil erosion research.However,LiDAR is impacted by complex terrain and introduces height uncertainty,which lim-its its capacity to effectively monitor soil erosion.This study analyzes the typical small watershed of Qiaogou in the hilly gully area of the Loess Plateau in China.To overcome the aforementioned challenges,LiDAR measure-ments were combined with a fuzzy inference system(FIS)to quantitatively analyze the spatial distribution of the DoD uncertainty and investigate the spatial distribution characteristics of soil erosion and sedimentation within the small watershed.The results show that:(1)Terrain shape and point cloud density greatly influence the DEM error generated by interpolation,with significantly smaller DoD uncertainty in flat terrain regions than in steep terrain regions;(2)By integrating known error sources into a stable error model,the FIS algorithm reduces sub-jective intervention and human error,avoiding error estimation on complex DEM surfaces and improving the ac-curacy of calculation results;(3)The sediment yield volume of the hillslope area is 9.21 m3,comprising 15.89%of the sediment yield volume of the slope gully system.Erosion in the gully slope area is severe,with a sediment yield volume of 48.76 m3,comprising 84.11%of the sediment yield volume of the slope gully system;hence,it is the main component of the sediment yield of the slope gully system.The trench bed area is primarily sedimenta-ry.Ridge slopes and gully slopes have a larger contribution to sediment production,whereas the bottom of the gully is mainly a sediment-producing area.These research findings provide a new perspective on the develop-ment of soil erosion monitoring technology in the small watersheds of the Loess Plateau and offer a theoretical ba-sis and reference for the implementation of effective soil and water conservation measures.

关键词

机载LiDAR/土壤侵蚀监测/DoD不确定性/模糊推理系统/黄土高原

Key words

airborne LiDAR/monitoring of soil erosion and sedimentation/DoD uncertainty/fuzzy inference system/Loess Plateau

引用本文复制引用

邱春霞,刘晓宏,李豆,张佳淼,李朋飞..机载LiDAR和模糊推理系统在黄土高原土壤侵蚀监测中的应用[J].干旱区研究,2024,41(8):1331-1342,12.

基金项目

国家自然科学基金项目(41977059) (41977059)

干旱区研究

OA北大核心CSTPCD

1001-4675

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