Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China

doi:10.3390/rs13183623

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	Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China
	Shu, Heping 1,2; Guo, Zizheng 2,3; Qi, Shi 4; Song, Danqing 5; Pourghasemi, Hamid Reza 6; Ma, Jiacheng 7
刊名	REMOTE SENSING
	2021-09
卷号	13 期号:18
关键词	fuzzy analytical hierarchy process landslide susceptibility landslide types Loess Plateau logistic regression weighted frequency ratio
DOI	10.3390/rs13183623
英文摘要	Although numerous models have been employed to address the issue of landslide susceptibility at regional scale, few have incorporated landslide typology into a model application. Thus, the aim of the present study is to perform landslide susceptibility zonation taking landslide classification into account using a data-driven model. The specific objective is to answer the question: how to select reasonable influencing factors for different types of landslides so that the accuracy of susceptibility assessment can be improved? The Qilihe District in Lanzhou City of northwestern China was undertaken as the test area, and a total of 12 influencing factors were set as the predictive variables. An inventory map containing 227 landslides was created first, which was divided into shallow landslides and debris flows based on the geological features, distribution, and formation mechanisms. A weighted frequency ratio model was proposed to calculate the landslide susceptibility. The weights of influencing factors were calculated by the integrated model of logistic regression and fuzzy analytical hierarchy process, whereas the rating among the classes within each factor was obtained by a frequency ratio algorithm. The landslide susceptibility index of each cell was subsequently calculated in GIS environment to create landslide susceptibility maps of different types of landslide. The analysis and assessment process were separately performed for each type of landslide, and the final landslide susceptibility map for the entire region was produced by combining them. The results showed that 73.3% of landslide pixels were classified into very high or high susceptibility zones, while very low or low susceptibility zones covered only 3.6% of landslide pixels. The accuracy of the model represented by receiver operating characteristic curve was satisfactory, with a success rate of 70.4%. When the landslide typology was not considered, the accuracy of resulted maps decreased by 1.5 similar to 5.4%.
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	MDPI
WOS记录号	WOS:000701474000001
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/148546]
专题	兰州理工大学
作者单位	1.Lanzhou Univ, Collaborat Innovat Ctr Western Ecol Safety, Lanzhou 730000, Peoples R China; 2.Lanzhou Univ, Coll Civil Engn & Mech, MOE Key Lab Mech Disaster & Environm Western Chin, Lanzhou 730000, Peoples R China; 3.China Univ Geosci, Fac Engn, Wuhan 430074, Peoples R China; 4.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Frozen Soil Engn, Lanzhou 730000, Peoples R China; 5.Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China; 6.Shiraz Univ, Dept Nat Resources & Environm Engn, Coll Agr, Shiraz 7144165186, Iran; 7.Lanzhou Univ Technol, Key Lab Disaster Prevent & Mitigat Civil Engn Gan, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Shu, Heping,Guo, Zizheng,Qi, Shi,et al. Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China[J]. REMOTE SENSING,2021,13(18).
APA	Shu, Heping,Guo, Zizheng,Qi, Shi,Song, Danqing,Pourghasemi, Hamid Reza,&Ma, Jiacheng.(2021).Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China.REMOTE SENSING,13(18).
MLA	Shu, Heping,et al."Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China".REMOTE SENSING 13.18(2021).