Active Gully Head Erosion Rates Characteristics on the Loess Plateau: <scp>InSAR</scp>‐Based Calculation and Response to Extreme Rainfall

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.

Authors

Institutions

Publication Details

Journal
Land Degradation and Development
Published
2024-11-19
DOI
https://doi.org/10.1002/ldr.5358
Citations
6
Primary Topic
Soil erosion and sediment transport
Type
article
Field-Weighted Citation Impact
2.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Y.W. Chang, Wen Fan, Wenbo Zheng, Chengcheng Jiang et al.
6 citations
Land Degradation and Development
Soil erosion and sediment transport
2.00
article

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

Y.W. Chang, Wen Fan, Wenbo Zheng, Chengcheng Jiang, S. C. Yuan
article en
6 citations

Abstract

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.

Land Degradation and DevelopmentVol. 36(1)
Chinese Academy of Sciences (CN), Ministry of Natural Resources (CN), Chang'an University (CN), PowerChina (China) (CN), Institute of Earth Environment (CN), Lanzhou University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Institute of Earth Environment, Chinese Academy of Sciences, State Key Laboratory of Loess and Quaternary Geology
Climate action
Openalex Percentile: Top 14%
Soil erosion and sediment transport
2.00
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.