Slope structural health monitoring method against rainfall-induced shallow landslide

K. Koizumi, K. Oda, M. Komatsu, S. Ito, H. Tsutsumi

Research output: Contribution to journalConference article

Abstract

The structural health monitoring of a slope against rainfall-induced shallow landslides has become an important issue in Japan with the recent instances of extreme weather. In particular, the early detection of a sudden rainfall-induced shallow landslide is well known to be relatively difficult compared with that of a slow-moving landslide. Thus, local governments or civil-structure management companies provide residents or users with early warning information of a disaster via rainfall-based data. However, rainfall information is not enough to predict the risk of individual slope disasters because it does not directly reflect the soil-moisture condition of a slope. To solve this problem, a soil moisture-based index (iQS) is proposed. The applicability of iQS in a real slope was evaluated using the result obtained by monitoring a real slope during heavy rainfall along an expressway. The monitoring results of the real slope were seen to agree well with the results of past laboratory experiments. This implies that slope deformation owing to the rise in water level does not occur unless the volumetric water content exceeds the IQS of the real slope. Based on this result, iQS can be used for predicting the risk of shallow landslides at an early stage.

Original languageEnglish
Article number012046
JournalIOP Conference Series: Materials Science and Engineering
Volume615
Issue number1
DOIs
Publication statusPublished - Oct 15 2019
Event7th International Conference on Euro Asia Civil Engineering Forum, EACEF 2019 - Stuttgart, Germany
Duration: Sep 30 2019Oct 2 2019

Fingerprint

Structural health monitoring
Landslides
Rain
Soil moisture
Disasters
Monitoring
Water levels
Water content
Industry
Experiments

ASJC Scopus subject areas

  • Materials Science(all)
  • Engineering(all)

Cite this

Slope structural health monitoring method against rainfall-induced shallow landslide. / Koizumi, K.; Oda, K.; Komatsu, M.; Ito, S.; Tsutsumi, H.

In: IOP Conference Series: Materials Science and Engineering, Vol. 615, No. 1, 012046, 15.10.2019.

Research output: Contribution to journalConference article

@article{c36b5ca1f1c24974880a574bda234cbd,
title = "Slope structural health monitoring method against rainfall-induced shallow landslide",
abstract = "The structural health monitoring of a slope against rainfall-induced shallow landslides has become an important issue in Japan with the recent instances of extreme weather. In particular, the early detection of a sudden rainfall-induced shallow landslide is well known to be relatively difficult compared with that of a slow-moving landslide. Thus, local governments or civil-structure management companies provide residents or users with early warning information of a disaster via rainfall-based data. However, rainfall information is not enough to predict the risk of individual slope disasters because it does not directly reflect the soil-moisture condition of a slope. To solve this problem, a soil moisture-based index (iQS) is proposed. The applicability of iQS in a real slope was evaluated using the result obtained by monitoring a real slope during heavy rainfall along an expressway. The monitoring results of the real slope were seen to agree well with the results of past laboratory experiments. This implies that slope deformation owing to the rise in water level does not occur unless the volumetric water content exceeds the IQS of the real slope. Based on this result, iQS can be used for predicting the risk of shallow landslides at an early stage.",
author = "K. Koizumi and K. Oda and M. Komatsu and S. Ito and H. Tsutsumi",
year = "2019",
month = "10",
day = "15",
doi = "10.1088/1757-899X/615/1/012046",
language = "English",
volume = "615",
journal = "IOP Conference Series: Materials Science and Engineering",
issn = "1757-8981",
publisher = "IOP Publishing Ltd.",
number = "1",

}

TY - JOUR

T1 - Slope structural health monitoring method against rainfall-induced shallow landslide

AU - Koizumi, K.

AU - Oda, K.

AU - Komatsu, M.

AU - Ito, S.

AU - Tsutsumi, H.

PY - 2019/10/15

Y1 - 2019/10/15

N2 - The structural health monitoring of a slope against rainfall-induced shallow landslides has become an important issue in Japan with the recent instances of extreme weather. In particular, the early detection of a sudden rainfall-induced shallow landslide is well known to be relatively difficult compared with that of a slow-moving landslide. Thus, local governments or civil-structure management companies provide residents or users with early warning information of a disaster via rainfall-based data. However, rainfall information is not enough to predict the risk of individual slope disasters because it does not directly reflect the soil-moisture condition of a slope. To solve this problem, a soil moisture-based index (iQS) is proposed. The applicability of iQS in a real slope was evaluated using the result obtained by monitoring a real slope during heavy rainfall along an expressway. The monitoring results of the real slope were seen to agree well with the results of past laboratory experiments. This implies that slope deformation owing to the rise in water level does not occur unless the volumetric water content exceeds the IQS of the real slope. Based on this result, iQS can be used for predicting the risk of shallow landslides at an early stage.

AB - The structural health monitoring of a slope against rainfall-induced shallow landslides has become an important issue in Japan with the recent instances of extreme weather. In particular, the early detection of a sudden rainfall-induced shallow landslide is well known to be relatively difficult compared with that of a slow-moving landslide. Thus, local governments or civil-structure management companies provide residents or users with early warning information of a disaster via rainfall-based data. However, rainfall information is not enough to predict the risk of individual slope disasters because it does not directly reflect the soil-moisture condition of a slope. To solve this problem, a soil moisture-based index (iQS) is proposed. The applicability of iQS in a real slope was evaluated using the result obtained by monitoring a real slope during heavy rainfall along an expressway. The monitoring results of the real slope were seen to agree well with the results of past laboratory experiments. This implies that slope deformation owing to the rise in water level does not occur unless the volumetric water content exceeds the IQS of the real slope. Based on this result, iQS can be used for predicting the risk of shallow landslides at an early stage.

UR - http://www.scopus.com/inward/record.url?scp=85074628430&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85074628430&partnerID=8YFLogxK

U2 - 10.1088/1757-899X/615/1/012046

DO - 10.1088/1757-899X/615/1/012046

M3 - Conference article

AN - SCOPUS:85074628430

VL - 615

JO - IOP Conference Series: Materials Science and Engineering

JF - IOP Conference Series: Materials Science and Engineering

SN - 1757-8981

IS - 1

M1 - 012046

ER -