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Article

An Approach for Preliminary Landslide Scarp Assessment with Genetic Algorithm (GA)

Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan 70101, Taiwan
*
Author to whom correspondence should be addressed.
Current address: Institute of Applied Mechanics, National Taiwan University, Taipei 10617, Taiwan.
Academic Editor: Olga Petrucci
Water 2022, 14(15), 2400; https://doi.org/10.3390/w14152400
Received: 31 May 2022 / Revised: 19 July 2022 / Accepted: 25 July 2022 / Published: 2 August 2022
For the investigation of landslide mass movement scenarios through numerical simulation, a well-defined released mass and a precise initial source area are required as prerequisites. In the present study, we present a genetic algorithm-based approach for preliminarily assessing the landslide scarp when the local field data are limited, using an ellipse-referenced idealized curved surface (ER-ICS)—a smooth surface constructed with respect to an ellipse. According to a specified depth at the center, there are two distinct curvatures along the major and minor axes, respectively. To search for the most appropriate ICS, the reference ellipse is translated, rotated, and/or side-tilted to achieve the optimal orientation for meeting the best fitness to the assigned condition (delineated area or failure depths). The GA approach may significantly enhance the efficiency, by reducing the number of candidate ICSs and notably relaxing the searching ranges. The proposed GA-ER-ICS method is examined and shown to be feasible, by mimicking the source area of a historical landslide event and through application to a landslide-prone site. In addition to evaluating the fitness of the ICS-covered area with respect to the source scarp, the impacts of various ICSs on the flow paths are investigated as well. View Full-Text
Keywords: genetic algorithm (GA); landslide-prone area; landslide scarp assessment; ellipse-referenced idealized curved surface (ER-ICS); flow paths; scenario investigation genetic algorithm (GA); landslide-prone area; landslide scarp assessment; ellipse-referenced idealized curved surface (ER-ICS); flow paths; scenario investigation
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MDPI and ACS Style

Wang, C.-L.; Ko, C.-J.; Wong, H.-K.; Pai, P.-H.; Tai, Y.-C. An Approach for Preliminary Landslide Scarp Assessment with Genetic Algorithm (GA). Water 2022, 14, 2400. https://doi.org/10.3390/w14152400

AMA Style

Wang C-L, Ko C-J, Wong H-K, Pai P-H, Tai Y-C. An Approach for Preliminary Landslide Scarp Assessment with Genetic Algorithm (GA). Water. 2022; 14(15):2400. https://doi.org/10.3390/w14152400

Chicago/Turabian Style

Wang, Chih-Ling, Chi-Jyun Ko, Hock-Kiet Wong, Pei-Hsin Pai, and Yih-Chin Tai. 2022. "An Approach for Preliminary Landslide Scarp Assessment with Genetic Algorithm (GA)" Water 14, no. 15: 2400. https://doi.org/10.3390/w14152400

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