{"title":"Spatio-temporal evolution characteristics and driving factors of water erosion under microtopography","authors":"Wenli Rao, Qingfeng Zhang, Chutian Zhang, Jiaqi Qu, Fanfei Ren","doi":"10.1016/j.catena.2025.108964","DOIUrl":null,"url":null,"abstract":"<div><div>ΔDEM (Digital Elevation Model) accurately quantifies topographic changes, such as erosion and sedimentation. Previous research on micro-topographic water erosion largely relies on DEMs, which lack a temporal dimension and do not effectively capture erosion dynamics. This study aims to analyse the spatial patterns and evolutionary processes of micro-topographic water erosion. Specifically, artificial rainfall experiments were designed and conducted on a 15° Artificial Digging (AD) slope, employing M-ΔDEM to quantify erosion pattern indicators and further investigate the key influencing factors. Results indicate distinct erosion morphology and spatial patterns on tilled slopes. Erosion evolves into a tree-like structure, with detachment and transportation primarily in the upper slope and lateral deposition in the lower slope. Increased rainfall intensity reduces erosion fragmentation, enhances patch connectivity, and broadens the impact area. Topographic factors have a more significant influence on soil erosion than rainfall factors, with their importance (in descending order) and primary value ranges as follows: surface roughness (1.0 to 1.25), topographic index (0.3 to 1.3 mm), surface relief (0 to 10 mm), Micro-slope gradient (0 to 40°), surface incision depth (0 to 5 mm), slope ratio (0.20 to 0.75), and surface depression volume (−20 to 20 mm<sup>3</sup>). M−slope gradient and surface depression volume show a linear relationship with sediment yield, while other factors exhibit less clear relationships. Sensitivity to topographic factors shifts from the slope edge to the centre. This study recommends that adjustments to surface roughness and M−slope gradient at the left and right edges of loess slopes can effectively mitigate soil erosion when implementing agricultural measures. Additionally, it reveals the spatial patterns of erosion evolution and the key influencing factors, contributing to the management and conservation of agricultural practices on loess slope.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"254 ","pages":"Article 108964"},"PeriodicalIF":5.4000,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Catena","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0341816225002668","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
ΔDEM (Digital Elevation Model) accurately quantifies topographic changes, such as erosion and sedimentation. Previous research on micro-topographic water erosion largely relies on DEMs, which lack a temporal dimension and do not effectively capture erosion dynamics. This study aims to analyse the spatial patterns and evolutionary processes of micro-topographic water erosion. Specifically, artificial rainfall experiments were designed and conducted on a 15° Artificial Digging (AD) slope, employing M-ΔDEM to quantify erosion pattern indicators and further investigate the key influencing factors. Results indicate distinct erosion morphology and spatial patterns on tilled slopes. Erosion evolves into a tree-like structure, with detachment and transportation primarily in the upper slope and lateral deposition in the lower slope. Increased rainfall intensity reduces erosion fragmentation, enhances patch connectivity, and broadens the impact area. Topographic factors have a more significant influence on soil erosion than rainfall factors, with their importance (in descending order) and primary value ranges as follows: surface roughness (1.0 to 1.25), topographic index (0.3 to 1.3 mm), surface relief (0 to 10 mm), Micro-slope gradient (0 to 40°), surface incision depth (0 to 5 mm), slope ratio (0.20 to 0.75), and surface depression volume (−20 to 20 mm3). M−slope gradient and surface depression volume show a linear relationship with sediment yield, while other factors exhibit less clear relationships. Sensitivity to topographic factors shifts from the slope edge to the centre. This study recommends that adjustments to surface roughness and M−slope gradient at the left and right edges of loess slopes can effectively mitigate soil erosion when implementing agricultural measures. Additionally, it reveals the spatial patterns of erosion evolution and the key influencing factors, contributing to the management and conservation of agricultural practices on loess slope.
期刊介绍:
Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment.
Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.