Active Gully Head Erosion Rates Characteristics on the Loess Plateau: InSAR-Based Calculation and Response to Extreme Rainfall

IF 3.6 2区 农林科学 Q2 ENVIRONMENTAL SCIENCES Land Degradation & Development Pub Date : 2024-11-19 DOI:10.1002/ldr.5358
Shaoqing Yuan, Wen Fan, Chengcheng Jiang, Yupeng Chang, Wenbo Zheng
{"title":"Active Gully Head Erosion Rates Characteristics on the Loess Plateau: InSAR-Based Calculation and Response to Extreme Rainfall","authors":"Shaoqing Yuan, Wen Fan, Chengcheng Jiang, Yupeng Chang, Wenbo Zheng","doi":"10.1002/ldr.5358","DOIUrl":null,"url":null,"abstract":"Quantitative analysis and prediction of gully head erosion hold paramount importance for terrain evolution studies and risk mitigation effort. However, previous findings could not reconcile high temporal resolution with long time series coverage, particularly at the watershed scale. In this study, a calculation method for the active gully head erosion rate (AGHER) was proposed on the basis of interferometric synthetic aperture radar (InSAR) technology, thereby combining the historical climate data to estimate the annual AGHER. Additionally, we investigated the relative importance of extreme rainfall events on erosion rates. The results indicated that the long-term annual AGHER in the study area ranged from 51.83 to 89.50 mm year<sup>−1</sup> from 1980 to 2023 on the Dongzhi Plateau (DZP). Extreme rainfall events (rainfall amount ≥ 150 mm) emerged as the foremost erosion-causing factor, accounting for a contribution rate ranging from 69.8% to 75.0%. Furthermore, through field surveys, we identified 21 gully heads that represent potential hazards to high-speed railways (HSRs). Although the proportion of gullies affecting rail infrastructure may be relatively modest in century-long projections, it notably increases against the background of worldwide escalation due to the occurrence of extreme precipitation events. This study establishes a robust foundation for gully erosion management and risk assessment on the Loess Plateau.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"22 1","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Land Degradation & Development","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1002/ldr.5358","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Quantitative analysis and prediction of gully head erosion hold paramount importance for terrain evolution studies and risk mitigation effort. However, previous findings could not reconcile high temporal resolution with long time series coverage, particularly at the watershed scale. In this study, a calculation method for the active gully head erosion rate (AGHER) was proposed on the basis of interferometric synthetic aperture radar (InSAR) technology, thereby combining the historical climate data to estimate the annual AGHER. Additionally, we investigated the relative importance of extreme rainfall events on erosion rates. The results indicated that the long-term annual AGHER in the study area ranged from 51.83 to 89.50 mm year−1 from 1980 to 2023 on the Dongzhi Plateau (DZP). Extreme rainfall events (rainfall amount ≥ 150 mm) emerged as the foremost erosion-causing factor, accounting for a contribution rate ranging from 69.8% to 75.0%. Furthermore, through field surveys, we identified 21 gully heads that represent potential hazards to high-speed railways (HSRs). Although the proportion of gullies affecting rail infrastructure may be relatively modest in century-long projections, it notably increases against the background of worldwide escalation due to the occurrence of extreme precipitation events. This study establishes a robust foundation for gully erosion management and risk assessment on the Loess Plateau.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
黄土高原活动沟头侵蚀率特征:基于 InSAR 的计算及对极端降雨的响应
沟壑侵蚀的定量分析和预测对于地形演变研究和风险缓解工作至关重要。然而,以往的研究结果无法兼顾高时间分辨率和长时间序列覆盖范围,尤其是在流域尺度上。本研究以干涉合成孔径雷达(InSAR)技术为基础,结合历史气候数据,提出了活动沟壑侵蚀率(AGHER)的计算方法,从而估算出每年的活动沟壑侵蚀率。此外,我们还研究了极端降雨事件对侵蚀率的相对重要性。结果表明,从 1980 年到 2023 年,东至高原(DZP)研究区域的长期年 AGHER 值介于 51.83 到 89.50 毫米/年之间。极端降雨事件(降雨量≥ 150 毫米)是造成水土流失的最主要因素,其贡献率为 69.8%至 75.0%。此外,通过实地调查,我们还发现了 21 条对高速铁路(HSR)具有潜在危害的沟壑。虽然在百年预测中,影响铁路基础设施的沟壑所占比例可能相对较小,但在极端降水事件频发导致全球范围内沟壑灾害升级的背景下,沟壑所占比例明显增加。这项研究为黄土高原的冲沟侵蚀管理和风险评估奠定了坚实的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Land Degradation & Development
Land Degradation & Development 农林科学-环境科学
CiteScore
7.70
自引率
8.50%
发文量
379
审稿时长
5.5 months
期刊介绍: Land Degradation & Development is an international journal which seeks to promote rational study of the recognition, monitoring, control and rehabilitation of degradation in terrestrial environments. The journal focuses on: - what land degradation is; - what causes land degradation; - the impacts of land degradation - the scale of land degradation; - the history, current status or future trends of land degradation; - avoidance, mitigation and control of land degradation; - remedial actions to rehabilitate or restore degraded land; - sustainable land management.
期刊最新文献
Active Gully Head Erosion Rates Characteristics on the Loess Plateau: InSAR-Based Calculation and Response to Extreme Rainfall Leaf Accumulation Capacity of Herbaceous Plants Growing on Fields Contaminated With Anthropogenically Induced Potentially Toxic Elements Under Natural Soil Conditions Advancements in Understanding Beryllium Contamination: Novel Insights Into Environmental Risk Assessment Artificial Vegetation Restoration Enhances Soil Fertility and Microbial Network Complexity in Eroded Areas Machine Learning Models Based on UAV Oblique Images Improved Above-Ground Biomass Estimation Accuracy Across Diverse Grasslands on the Qinghai–Tibetan Plateau
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1