MAT.TRIGRS (V1.0): A new open-source tool for predicting spatiotemporal distribution of rainfall-induced landslides

In this work, a new TRIGRS (Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability) model based on Matlab® is proposed, named MAT.TRIGRS (V1.0), which can be applied to research of spatiotemporal distribution of rainfall-induced landslides. It is characterized by simple data process...

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Main Authors: Siyuan Ma, Xiaoyi Shao, Chong Xu, Xiangli He, Pengfei Zhang
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2021-12-01
Series:Natural Hazards Research
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666592121000457
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author Siyuan Ma
Xiaoyi Shao
Chong Xu
Xiangli He
Pengfei Zhang
author_facet Siyuan Ma
Xiaoyi Shao
Chong Xu
Xiangli He
Pengfei Zhang
author_sort Siyuan Ma
collection DOAJ
description In this work, a new TRIGRS (Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability) model based on Matlab® is proposed, named MAT.TRIGRS (V1.0), which can be applied to research of spatiotemporal distribution of rainfall-induced landslides. It is characterized by simple data processing, straightforward setting of script parameters, high computation efficiency and convenient operation. A test on the effectiveness of this tool is conducted using the data of the 2019 rainfall-induced landslide in the Shuicheng area, Guizhou Province, China. The data of drilling, terrain, hydrological and mechanical properties of the study area are prepared and converted into TIF grid files. Based on the MAT.TRIGRS model, variations of water head depth and slope instability with time are calculated. The results show that compared with TRIGRS version 2, MAT.TRIGRS is more convenient and friendly in data processing and operation. The comparative experiments prove that the computation efficiency of the new tool increases by 40%. It can be used to predict spatial-temporal distribution of rainfall-induced landslides and contribute to the design and implementation of the landslide early warning system (LEWS).
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spelling doaj.art-1858a600e8934c1086ddda10abe07c9e2022-12-22T04:23:32ZengKeAi Communications Co. Ltd.Natural Hazards Research2666-59212021-12-0114161170MAT.TRIGRS (V1.0): A new open-source tool for predicting spatiotemporal distribution of rainfall-induced landslidesSiyuan Ma0Xiaoyi Shao1Chong Xu2Xiangli He3Pengfei Zhang4Institute of Geology, China Earthquake Administration, Beijing, 100029, China; Key Laboratory of Seismic and Volcanic Hazards, Institute of Geology, China Earthquake Administration, Beijing, 100029, ChinaNational Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing, 100085, China; Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing, 100085, ChinaNational Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing, 100085, China; Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing, 100085, China; Corresponding author. National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing, 100085, China.National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing, 100085, China; Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing, 100085, ChinaInstitute of Geology, China Earthquake Administration, Beijing, 100029, China; Key Laboratory of Seismic and Volcanic Hazards, Institute of Geology, China Earthquake Administration, Beijing, 100029, ChinaIn this work, a new TRIGRS (Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability) model based on Matlab® is proposed, named MAT.TRIGRS (V1.0), which can be applied to research of spatiotemporal distribution of rainfall-induced landslides. It is characterized by simple data processing, straightforward setting of script parameters, high computation efficiency and convenient operation. A test on the effectiveness of this tool is conducted using the data of the 2019 rainfall-induced landslide in the Shuicheng area, Guizhou Province, China. The data of drilling, terrain, hydrological and mechanical properties of the study area are prepared and converted into TIF grid files. Based on the MAT.TRIGRS model, variations of water head depth and slope instability with time are calculated. The results show that compared with TRIGRS version 2, MAT.TRIGRS is more convenient and friendly in data processing and operation. The comparative experiments prove that the computation efficiency of the new tool increases by 40%. It can be used to predict spatial-temporal distribution of rainfall-induced landslides and contribute to the design and implementation of the landslide early warning system (LEWS).http://www.sciencedirect.com/science/article/pii/S2666592121000457TRIGRS modelRainfall-induced landslideMatlab® programming languageTransient infiltration model
spellingShingle Siyuan Ma
Xiaoyi Shao
Chong Xu
Xiangli He
Pengfei Zhang
MAT.TRIGRS (V1.0): A new open-source tool for predicting spatiotemporal distribution of rainfall-induced landslides
Natural Hazards Research
TRIGRS model
Rainfall-induced landslide
Matlab® programming language
Transient infiltration model
title MAT.TRIGRS (V1.0): A new open-source tool for predicting spatiotemporal distribution of rainfall-induced landslides
title_full MAT.TRIGRS (V1.0): A new open-source tool for predicting spatiotemporal distribution of rainfall-induced landslides
title_fullStr MAT.TRIGRS (V1.0): A new open-source tool for predicting spatiotemporal distribution of rainfall-induced landslides
title_full_unstemmed MAT.TRIGRS (V1.0): A new open-source tool for predicting spatiotemporal distribution of rainfall-induced landslides
title_short MAT.TRIGRS (V1.0): A new open-source tool for predicting spatiotemporal distribution of rainfall-induced landslides
title_sort mat trigrs v1 0 a new open source tool for predicting spatiotemporal distribution of rainfall induced landslides
topic TRIGRS model
Rainfall-induced landslide
Matlab® programming language
Transient infiltration model
url http://www.sciencedirect.com/science/article/pii/S2666592121000457
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