IoT-based hydrological monitoring of water-induced landslides: a case study in central Norway

Abstract Water-induced landslides pose a great risk to the society in Norway due their high frequency and capacity evolve destructive debris flows. Hydrological monitoring is widely employed method understand initiation mechanism of water-induced under various climate conditions. systems can provide relevant information that be utilized landslide early warning mitigate by issuing warnings. These significantly enhanced, wider deployments achieved through recent developments within domain Internet Things (IoT). Therefore, this study aims demonstrate case on an automated hydrological system supported IoT-based state-of-the-art technologies employing public mobile networks. Volumetric water content (VWC) sensors, suction piezometers were used monitor activities. The was deployed area central at two locations susceptible geological units. During monitored period, provided novel valuable insights into response slopes seasonally cold climates terms VWC matric suction. effects rainfall, snow melting, ground freezing, thawing captured. current also made attempt integrate collected data physical-based susceptibility model obtain more consistent reliable hazard assessment.