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Due to the devastating impacts of landslides worldwide, various mitigation projects such as establishment of community-based early warning systems are being initiated. Monitoring, evaluation, accountability and learning (MEAL) is integral... more
Due to the devastating impacts of landslides worldwide, various mitigation projects such as establishment of community-based early warning systems are being initiated. Monitoring, evaluation, accountability and learning (MEAL) is integral in ensuring the success of these projects to achieve their goals. Despite the increase in projects and funding for disaster risk reduction, there are insufficient research in understanding the effectiveness of MEAL systems for disaster risk reduction projects, particularly for early warning system for landslides (EWS-L). This study aims to develop a framework for MEAL for EWS-L through a systematic review of the available literature. The issues and recommendations derived from the systematic review were adopted to craft the guiding principles of the framework with the project goals and objectives. This framework provides a novel approach by providing guidelines on planning, designing and implementing MEAL not only for early warning system projects but also in disaster management and development projects in general.
This paper describes the development and real-world deployment of an alternative instrumentation for monitoring slope deformation and water level intended as an early warning system for landslides and slope failures. The landslide... more
This paper describes the development and real-world deployment of an alternative instrumentation for monitoring slope deformation and water level intended as an early warning system for landslides and slope failures. The landslide monitoring system is composed of a "sensor column" that is buried vertically underground in a borehole. The sensor column consists of pipe segments each containing tri-axial accelerometers for measuring tilt, and capacitive sensors for water content measurements. Measurements taken in each segment are accessed via the Controller Area Network (CAN) communications protocol. The data from the sensor column are then sent to a remote host for post processing through the GSM cellular infrastructure. The sensors were initially tested on a small-scale slope model in which failure was induced through water seepage. Inspection of the column after the failure indicated good agreement between the visual tilt data and the measured tilt data from the accelerometers. The system has been subsequently deployed in a slope in Benguet province -- a mountainous and heavilypopulated region in the northern Philippines -- and is being monitored in real-time. We present the data collected by the sensor in the real world test site as well as share our experiences in involving the affected community as part of the holistic approach to humanitarian technology development in disaster mitigation.