Study on landslide susceptibility mapping based on rock–soil characteristic factors

Abstract This study introduces four rock–soil characteristics factors, that is, Lithology, Rock Structure, Rock Infiltration, and Rock Weathering, which based on the properties of rock formations, to predict Landslide Susceptibility Mapping (LSM) in Three Gorges Reservoir Area from Zigui to Badong....

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Autores principales:	Xianyu Yu, Kaixiang Zhang, Yingxu Song, Weiwei Jiang, Jianguo Zhou
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/291559ef696a4b0a9e08b60179244da9
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spelling	oai:doaj.org-article:291559ef696a4b0a9e08b60179244da92021-12-02T18:46:55ZStudy on landslide susceptibility mapping based on rock–soil characteristic factors10.1038/s41598-021-94936-52045-2322https://doaj.org/article/291559ef696a4b0a9e08b60179244da92021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94936-5https://doaj.org/toc/2045-2322Abstract This study introduces four rock–soil characteristics factors, that is, Lithology, Rock Structure, Rock Infiltration, and Rock Weathering, which based on the properties of rock formations, to predict Landslide Susceptibility Mapping (LSM) in Three Gorges Reservoir Area from Zigui to Badong. Logistic regression, artificial neural network, support vector machine is used in LSM modeling. The study consists of three main steps. In the first step, these four factors are combined with the 11 basic factors to form different factor combinations. The second step randomly selects training (70% of the total) and validation (30%) datasets out of grid cells corresponding to landslide and non-landslide locations in the study area. The final step constructs the LSM models to obtain different landslide susceptibility index maps and landslide susceptibility zoning maps. The specific category precision, receiver operating characteristic curve, and 5 other statistical evaluation methods are used for quantitative evaluations. The evaluation results show that, in most cases, the result based on Rock Structure are better than the result obtained by traditional method based on Lithology, have the best performance. To further study the influence of rock–soil characteristic factors on the LSM, these four factors are divided into “Intrinsic attribute factors” and “External participation factors” in accordance with the participation of external factors, to generate the LSMs. The evaluation results show that the result based on Intrinsic attribute factors are better than the result based on External participation factors, indicating the significance of Intrinsic attribute factors in LSM. The method proposed in this study can effectively improve the scientificity, accuracy, and validity of LSM.Xianyu YuKaixiang ZhangYingxu SongWeiwei JiangJianguo ZhouNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-27 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Xianyu Yu Kaixiang Zhang Yingxu Song Weiwei Jiang Jianguo Zhou Study on landslide susceptibility mapping based on rock–soil characteristic factors
description	Abstract This study introduces four rock–soil characteristics factors, that is, Lithology, Rock Structure, Rock Infiltration, and Rock Weathering, which based on the properties of rock formations, to predict Landslide Susceptibility Mapping (LSM) in Three Gorges Reservoir Area from Zigui to Badong. Logistic regression, artificial neural network, support vector machine is used in LSM modeling. The study consists of three main steps. In the first step, these four factors are combined with the 11 basic factors to form different factor combinations. The second step randomly selects training (70% of the total) and validation (30%) datasets out of grid cells corresponding to landslide and non-landslide locations in the study area. The final step constructs the LSM models to obtain different landslide susceptibility index maps and landslide susceptibility zoning maps. The specific category precision, receiver operating characteristic curve, and 5 other statistical evaluation methods are used for quantitative evaluations. The evaluation results show that, in most cases, the result based on Rock Structure are better than the result obtained by traditional method based on Lithology, have the best performance. To further study the influence of rock–soil characteristic factors on the LSM, these four factors are divided into “Intrinsic attribute factors” and “External participation factors” in accordance with the participation of external factors, to generate the LSMs. The evaluation results show that the result based on Intrinsic attribute factors are better than the result based on External participation factors, indicating the significance of Intrinsic attribute factors in LSM. The method proposed in this study can effectively improve the scientificity, accuracy, and validity of LSM.
format	article
author	Xianyu Yu Kaixiang Zhang Yingxu Song Weiwei Jiang Jianguo Zhou
author_facet	Xianyu Yu Kaixiang Zhang Yingxu Song Weiwei Jiang Jianguo Zhou
author_sort	Xianyu Yu
title	Study on landslide susceptibility mapping based on rock–soil characteristic factors
title_short	Study on landslide susceptibility mapping based on rock–soil characteristic factors
title_full	Study on landslide susceptibility mapping based on rock–soil characteristic factors
title_fullStr	Study on landslide susceptibility mapping based on rock–soil characteristic factors
title_full_unstemmed	Study on landslide susceptibility mapping based on rock–soil characteristic factors
title_sort	study on landslide susceptibility mapping based on rock–soil characteristic factors
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/291559ef696a4b0a9e08b60179244da9
work_keys_str_mv	AT xianyuyu studyonlandslidesusceptibilitymappingbasedonrocksoilcharacteristicfactors AT kaixiangzhang studyonlandslidesusceptibilitymappingbasedonrocksoilcharacteristicfactors AT yingxusong studyonlandslidesusceptibilitymappingbasedonrocksoilcharacteristicfactors AT weiweijiang studyonlandslidesusceptibilitymappingbasedonrocksoilcharacteristicfactors AT jianguozhou studyonlandslidesusceptibilitymappingbasedonrocksoilcharacteristicfactors
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Study on landslide susceptibility mapping based on rock–soil characteristic factors

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