Artificial Intelligence and Data Science
Online ISSN : 2435-9262
DEVELOPMENT OF SMALL-SCALE DANGEROUS MOUNTAIN STREAM EXTRACTION METHOD USING AI
Shogo HAYASHIToshiaki TAKABATAKEKazuaki HASHIMOTOJunji UCHIDA
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JOURNAL OPEN ACCESS

2021 Volume 2 Issue J2 Pages 408-417

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Abstract

In recent years, abnormal rainfall has occurred frequently, and the ocurrence of natural disasters due to debris flows is increasing.NEXCO has taken measures against debris flow as a priority issue, however the damage situation and factors are diversifying.Debris flow disasters have also occurred in small mountain streams with a small basin area.Since small mountain streams cover a wide area along the main line, it is difficult for specialist engineers to conduct field survey and identify all dangerous areas.Therefore, in this paper, we investigated a technique for narrowing down dangerous areas focusing on the topographical features of debris flow disaster areas in small mountain streams that occurred in July 2020.

We narrowed down dangerous areas by evaluating the similarity of topography using AI.In this work, 3D topographical datas measured by aeronautical radar were used as images.Furthermore, the adaptability of the similarity evaluation was confirmed by field survey, and we have improved the accuracy of AI discrimination by reflecting the results of the survey.

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© 2021 Japan Society of Civil Engineers
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