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[1]Chen Long,Yu Bin.Early warning of mudflows in single-gully and area in the loess region[J].Research of Soil and Water Conservation,2025,32(02):191-197.[doi:10.13869/j.cnki.rswc.2025.02.009]

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Early warning of mudflows in single-gully and area in the loess region

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 32 Number of periods: 2025 02 Page number: 191-197 Column: Public date: 2025-01-20

Title:: Early warning of mudflows in single-gully and area in the loess region

Author(s):: Chen Long, Yu Bin; (State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China)

Keywords:: mudflow; early-warning model; critical rainfall; single-ditch

CLC:: P642.23

DOI:: 10.13869/j.cnki.rswc.2025.02.009

Abstract:: [Objective]This study proposes a single-channel and regional early warning model for gully-type mudflows in loess areas, which provides a reference for early warning of mudflows in loess region. [Methods]Data related to mudflow formation, including rainfall conditions, topographic conditions and geological conditions, were collected from the literature for analysis. The mudflow early-warning model was developed by using the generalized mudflow early-warning method to provide single-gully and regional early warning for mudflows in some areas of the Loess Plateau. Moreover, the model was compared with the early-warning method that is based on the critical rainfall intensity. [Results]In single-gully early warning, the success rate of the mudflow early-warning model for 47 mudflow events in the loess region was approximately 90%. In regional early warning, the success rate of the mudflow early-warning model for Xifeng District, Zhenyuan County, and Yan'an City was almost 100%. The success rate of the simplified rainfall early-warning model for mudflows in the loess region was approximately 90% by using the integrated precipitation threshold value. [Conclusion]Compared with previous studies, where the mudflow early-warning method is based on the critical rainfall intensity, the model developed in this study that is meant for single-gully and regional early warning of mudflows in the loess region comprehensively considers the crucial factors, has high accuracy and ensures detailed early-warning results.

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Last Update: 2025-01-20