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dc.contributor.authorOguz, Emir Ahmet
dc.contributor.authorDepina, Ivan
dc.contributor.authorMyhre, Bård
dc.contributor.authorDevoli, Graziella
dc.contributor.authorRustad, Helge
dc.contributor.authorThakur, Vikas Kumar Singh
dc.date.accessioned2022-05-24T11:00:39Z
dc.date.available2022-05-24T11:00:39Z
dc.date.created2022-05-21T11:40:07Z
dc.date.issued2022
dc.identifier.issn1435-9529
dc.identifier.urihttps://hdl.handle.net/11250/2995850
dc.description.abstractWater-induced landslides pose a great risk to the society in Norway due to their high frequency and capacity to evolve in destructive debris flows. Hydrological monitoring is a widely employed method to understand the initiation mechanism of water-induced landslides under various climate conditions. Hydrological monitoring systems can provide relevant information that can be utilized in landslide early warning systems to mitigate the risk by issuing early warnings. These monitoring systems can be significantly enhanced, and wider deployments can be achieved through the recent developments within the domain of the Internet of Things (IoT). Therefore, this study aims to demonstrate a case study on an automated hydrological monitoring system supported by the IoT-based state-of-the-art technologies employing public mobile networks. Volumetric water content (VWC) sensors, suction sensors, and piezometers were used in the hydrological monitoring system to monitor the hydrological activities. The monitoring system was deployed in a case study area in central Norway at two locations of high susceptible geological units. During monitored period, the IoT-based hydrological monitoring system provided novel and valuable insights into the hydrological response of slopes to seasonally cold climates in terms of VWC and matric suction. The effects of rainfall, snow melting, ground freezing, and thawing were captured. The current study also made an attempt to integrate the collected data into a physical-based landslide susceptibility model to obtain a more consistent and reliable hazard assessment.en_US
dc.language.isoengen_US
dc.publisherSpringerLinken_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no
dc.subjectHydrological monitoringen_US
dc.subjectIoTen_US
dc.subjectWater-induceden_US
dc.subjectLandslideen_US
dc.subjectRainfallen_US
dc.subjectSnow melten_US
dc.titleIoT‑based hydrological monitoring of water‑induced landslides: a case study in central Norwayen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 The authorsen_US
dc.subject.nsiVDP::Teknologi: 500en_US
dc.source.volume81en_US
dc.source.journalBulletin of Engineering Geology and the Environmenten_US
dc.identifier.doi10.1007/s10064-022-02721-z
dc.identifier.cristin2026154
dc.relation.projectNorges forskningsråd: 281059en_US
dc.rights.licenseCC BY 4.0
dc.source.articlenumber217en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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