Assimilation of Meteorological and Hydrological Measurements in Landslide Early Warning Systems
Publication: Geo-Risk 2023
ABSTRACT
This paper examines assimilation of meteorological and hydrological monitoring data into landslide prediction models and landslide early warning systems. The monitoring data are collected with an Internet of Things−based monitoring system. Basic information on the instrumented case study area and the implemented sensor setup are provided. The sensor setup consisted of volumetric water content and suction sensors with a weather station for meteorological monitoring. The sensor data, collected from August 2020 to October 2021, are presented and interpreted highlight main trends in hydrological conditions characteristic for seasonally cold climate in Norway. Several types of water-induced landslide early warning systems are examined with the sensor-based, empirical, and physical-based landslide early warning systems. Details of the implementation of the physical-based early warning system based on a physical-based landslide prediction model are presented.
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Information & Authors
Information
Published In
Geo-Risk 2023
Pages: 28 - 37
History
Published online: Jul 20, 2023
ASCE Technical Topics:
- Climates
- Data collection
- Disaster preparedness
- Disaster risk management
- Disaster warning systems
- Engineering fundamentals
- Environmental engineering
- Geohazards
- Geotechnical engineering
- Hydrologic data
- Hydrologic engineering
- Hydrologic models
- Hydrology
- Landslides
- Measurement (by type)
- Meteorology
- Methodology (by type)
- Models (by type)
- Research methods (by type)
- Sensors and sensing
- Water and water resources
- Weather forecasting
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