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A Fuzzy-Based System for Estimation of Landslide Disasters Risk Considering Digital Elevation Model

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Advances on Broad-Band Wireless Computing, Communication and Applications (BWCCA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 570))

Abstract

Recently, the number of landslide disasters is increased because of heavy rains. For measuring the landslide disasters, it is necessary to consider the characteristics of the mountain topography in addition to rainfalls. Fuzzy inference is a good approach for estimation of disaster risk considering rainfalls and topography parameters. Detecting landslide disasters before they happen requires data collection on the wide area. However, monitoring the entire area of a mountain requires a large number of sensors. In this paper, we present Fuzzy-based system that estimates Landslide Disasters Risk (LDR) considering Digital Elevation Model (DEM). The evaluation results show that the proposed system can estimate LDR according to the rainfall and topography parameter using the real data collected on wide areas by a Wireless Sensor Network (WSN).

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Acknowledgement

This work was supported by JSPS KAKENHI Grant Number JP20K19793.

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Authors and Affiliations

  1. Department of Information and Computer Engineering, Okayama University of Science (OUS), 1-1 Ridaicho, Kita-ku, Okayama, 700-0005, Japan

    Kei Tabuchi & Tetsuya Oda

  2. Graduate School of Engineering, Okayama University of Science (OUS), Okayama, 1-1 Ridaicho, Kita-ku, Okayama, 700-0005, Japan

    Kyohei Toyoshima, Nobuki Saito, Aoto Hirata & Yuki Nagai

  3. Department of Information and Communication Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811-0295, Japan

    Leonard Barolli

Authors
  1. Kei Tabuchi
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  2. Kyohei Toyoshima
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  3. Nobuki Saito
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  4. Aoto Hirata
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  5. Yuki Nagai
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  6. Tetsuya Oda
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  7. Leonard Barolli
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Corresponding author

Correspondence to Tetsuya Oda .

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Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

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Tabuchi, K. et al. (2023). A Fuzzy-Based System for Estimation of Landslide Disasters Risk Considering Digital Elevation Model. In: Barolli, L. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2022. Lecture Notes in Networks and Systems, vol 570. Springer, Cham. https://doi.org/10.1007/978-3-031-20029-8_16

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  • DOI: https://doi.org/10.1007/978-3-031-20029-8_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-20028-1

  • Online ISBN: 978-3-031-20029-8

  • eBook Packages: EngineeringEngineering (R0)

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