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Vol.57, No.1, PP.1-56
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1
Morphological Response of a Coastal Alluvial Fan to Typhoons in Northeastern Taiwan
57(1):01-19
Hsien-Ter Chou [1]* Da-Wei Chen [2] Ching-Fang Lee [3] Shiaw-Yih Tzang [4] Tse-Hsuan Hwang [1]
* Corresponding Author. E-mail : profhtchou@gmail.com
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2
Accuracy Assessment of UAV-LiDAR in Areas Prone to Large-Scale Landslides
57(1):20-28
Meng-Shan Wu[1]* Kuo-Wei Chen[2] Yu-Po Lin [2] Wei Li[1] Dong-Yan Wu[3]
* Corresponding Author. E-mail : jallyjuice.survey@gmail.com
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3
A Terrain-Based Model for Identifying and Assessing the Potential of Channelized Debris-Flow Streams in Sedimentary Rock Areas
57(1):29-44
Tien-Chien, Chen* Wan-Chen, Huang Yu-Shan, Hsu
* Corresponding Author. E-mail : tcchen@mail.npust.edu.tw
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A Terrain-Based Model for Identifying and Assessing the Potential of Channelized Debris-Flow Streams in Sedimentary Rock Areas
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Tien-Chien, Chen* Wan-Chen, Huang Yu-Shan, Hsu

Abstract
In this study, microgeomorphological and multivariate statistical analyses were performed to investi-gate 32 streams in the sedimentary rock areas of western Taiwan, including 16 streams where channelized debris flows have occurred in recent years. A hillslope debris flow model was used to identify potential debris flow units for each sub-watershed of 32 streams. An aggregated topographic indices for each watershed were then defined. Multivariate analysis was conducted to develop a new identification model and a potential assessment method for channelized debris flows. The proposed identification model achieved an accuracy of 84.4% when tested against real-life cases. Approxi-mately 87.5% of streams with previous channelized debris flows were classified as having medium to high hazard potential. These results highlight the identification model and hazard zonation method as excellent practical tools for evaluating the hazard potential of both existing and newly identified streams prone to debris flows.
Key Words: Channelized Debris Flow, Hillslope Debris Flow, Identification Model, Hazard Potential Model, Dis-aster Management, Environmental Sustainability
Department of Soil and Water Conservation, National Pingtung University of Science and Technology, Pingtung 912, Taiwan, R.O.C.
* Corresponding Author. E-mail : tcchen@mail.npust.edu.tw
Received: 2025/01/07
Revised: 2026/01/14
Accepted: 2026/02/13
4
Comparison of data mining models to assess landslide susceptibil-ity in Karganeh Watershed, Lorestan Province, Iran
57(1):45-56
Ebrahim Karimi Sangchini [1]* Seyed Hossein Arami [2] Ali Dastranj [3]
* Corresponding Author. E-mail : E.karimi64@gmail.com
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