Application of the borderline-SMOTE method in susceptibility assessments of debris flows in Pinggu District, Beijing, China

Yongchao Li, Jianping Chen (), Chun Tan, Yang Li, Feifan Gu, Yiwei Zhang and Qaiser Mehmood
Additional contact information
Yongchao Li: Jilin University
Jianping Chen: Jilin University
Chun Tan: China Water Northeastern Investigation, Design and Research Co., Ltd
Yang Li: Beijing Institute of Geological and Prospecting Engineering
Feifan Gu: Jilin University
Yiwei Zhang: Jilin University
Qaiser Mehmood: Jilin University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2021, vol. 105, issue 3, No 8, 2499-2522

Abstract: Abstract According to information provided by the residents of Pinggu District, Beijing, 79 gullies were investigated. Based on the results of field investigations, 65 gullies were classified as debris flow gullies, and 14 were classified as non-debris flow gullies. By using ArcGIS software, the area and the quantity information of various factors affecting the occurrence of debris flows were obtained. The frequency ratio method was used to obtain the combinations of factors conducive to the debris flow occurrences in the study area. The susceptibility of debris flows in Pinggu District was evaluated by the information value method, certainty factor method, and logistic regression (LR) method. When using the LR method, the number of positive and negative samples should be balanced; therefore, the borderline-SMOTE method was used to generate samples belonging to the minority class. By comparing the results obtained by the three methods, it was found that the results obtained by the LR method are best. This result indicates that for disaster susceptibility assessments, the borderline-SMOTE method can be used to synthesize samples. The susceptibility evaluation results show that debris flows are more likely to occur in the southeast part of Pinggu District.

Keywords: Debris flow; Susceptibility assessment; Logistic regression; Borderline-SMOTE; Beijing (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11069-020-04409-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:105:y:2021:i:3:d:10.1007_s11069-020-04409-7

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-020-04409-7

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().