Monitoring strategies for local landslide early warning systems

The main aim of this study is the description and the analysis of the monitoring strategies implemented within local landslide early warning systems (Lo-LEWS) operational all around the world. Relevant information on 29 Lo-LEWS have been retrieved from peer-reviewed articles published in scientific journals and proceedings of technical conferences, books, reports, and institutional web pages. The first part of the paper describes the characteristics of these early warning systems considering their different components. The main characteristics of each system are summarized using tables with the aim of providing easily accessible information for technicians, experts, and stakeholders involved in the design and operation of Lo-LEWSs. The second part of the paper describes the monitoring networks adopted within the considered systems. Monitoring strategies are classified in terms of monitored activities and methods detailing the parameters and instruments adopted. The latter are classified as a function of the type of landslide being monitored. The discussion focuses on issues relevant for early warning, including appropriateness of the measurements, redundancy of monitoring methods, data analysis, and performance. Moreover, a description of the most used monitoring parameters and instruments for issuing warnings is presented.

[1]  Toshiya Takeshi,et al.  Evolution of Debris-flow Monitoring Methods on Sakurajima , 2011 .

[2]  Robin Chowdhury,et al.  Managing landslide hazards on the Illawarra escarpment. , 2005 .

[3]  D. Or,et al.  Monitoring and prediction in early warning systems for rapid mass movements , 2014 .

[4]  P. Bartelt,et al.  Field observations of basal forces and fluid pore pressure in a debris flow , 2006 .

[5]  Lorenzo Marchi,et al.  Systems and Sensors for Debris-flow Monitoring and Warning , 2008, Sensors.

[6]  Corey Froese,et al.  Structure and components for the emergency response and warning system on Turtle Mountain, Alberta, Canada , 2011, Natural Hazards.

[7]  Valentin Gischig,et al.  Monitoring and early warning of the 2012 Preonzo catastrophic rockslope failure , 2015, Landslides.

[8]  Harry J. R. Keys,et al.  Ruapehu Lahar New Zealand 18 March 2007: Lessons for Hazard Assessment and Risk Mitigation 1995-2007 , 2008 .

[9]  G. B. Crosta,et al.  Chasing a complete understanding of the triggering mechanisms of a large rapidly evolving rockslide , 2014, Landslides.

[10]  Robin Fell,et al.  Landslide risk management , 2018 .

[11]  U. Haque,et al.  Fatal landslides in Europe , 2016, Landslides.

[12]  C. Rivolta,et al.  Long-term evolution and early warning strategies for complex rockslides by real-time monitoring , 2017, Landslides.

[13]  Laura Longoni,et al.  Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives , 2014, Remote. Sens..

[14]  Nicola Casagli,et al.  Design and implementation of a landslide early warning system , 2012 .

[15]  Dwikorita Karnawati,et al.  An integrated methodology to develop a standard for landslide early warningsystems , 2016 .

[16]  Seishi Ninomiya,et al.  Landslide early warning system for rural community as an application of Sensor Asia. , 2008 .

[17]  Giovanni B. Crosta,et al.  Modelling of a rapidly evolving rockslide: the Mt. de la Saxe case study , 2015 .

[18]  Nengpan Ju,et al.  WebGIS-based information management system for landslides triggered by Wenchuan earthquake , 2012, Natural Hazards.

[19]  John H. Sorensen,et al.  Hazard Warning Systems: Review of 20 Years of Progress , 2000 .

[20]  A. Manconi,et al.  Landslide early warning based on failure forecast models: the example of the Mt. de La Saxe rockslide, northern Italy , 2015 .

[21]  P. Savvaidis,et al.  Existing Landslide Monitoring Systems and Techniques , 2003 .

[22]  Veronica Tofani,et al.  Quantitative hazard and risk assessment for slow-moving landslides from Persistent Scatterer Interferometry , 2014, Landslides.

[23]  Daniel Straub,et al.  Reliability and effectiveness of early warning systems for natural hazards: Concept and application to debris flow warning , 2015, Reliab. Eng. Syst. Saf..

[24]  Farrokh Nadim,et al.  Stochastic design of an early warning system , 2008 .

[25]  Robert Supper,et al.  Application and reliability of techniques for landslide site investigation, monitoring and early warning – outcomes from a questionnaire study , 2013 .

[26]  Michel Jaboyedoff,et al.  Experiences from site-specific landslide early warning systems , 2013 .

[27]  Nicola Casagli,et al.  Brief communication "Landslide Early Warning System: toolbox and general concepts" , 2013 .

[28]  D. Petley.  Global patterns of loss of life from landslides , 2012 .

[29]  F. Catani,et al.  Landslide prediction, monitoring and early warning: a concise review of state-of-the-art , 2017, Geosciences Journal.

[30]  Kyoji Sassa,et al.  Monitoring, Prediction and Early Warning , 2009 .

[31]  Fausto Guzzetti,et al.  Definition and performance of a threshold-based regional early warning model for rainfall-induced landslides , 2017, Landslides.

[32]  Nicola Casagli,et al.  Ruinon landslide (Valfurva, Italy) activity in relation to rainfall by means of GBInSAR monitoring , 2012, Landslides.

[33]  Diego Reale,et al.  Empirical fragility and vulnerability curves for buildings exposed to slow-moving landslides at medium and large scales , 2017, Landslides.

[34]  Lars,et al.  SUBSURFACE MONITORING OF LARGE ROCKSLIDES IN NORWAY : A KEY REQUIREMENT FOR EARLY WARNING , 2013 .

[35]  Richard G. LaHusen,et al.  Detecting debris flows using ground vibrations , 1998 .

[36]  Nathan J. Wood,et al.  Reducing risk from lahar hazards: concepts, case studies, and roles for scientists , 2014, Journal of Applied Volcanology.

[37]  Helen Reeves,et al.  Engineering Geology for Tomorrow’s Cities , 2009 .

[38]  Ching-Jer Huang,et al.  The present development of debris flow monitoring technology in Taiwan - A case study presentation , 2011 .

[39]  Mauri McSaveney,et al.  Out-burst flood (lahar) triggered by retrogressive landsliding, 18 March 2007 at Mt Ruapehu, New Zealand—a successful early warning , 2010 .

[40]  Jian Huang,et al.  A Real-time monitoring and early warning system for landslides in Southwest China , 2015, Journal of Mountain Science.

[41]  Michele Calvello,et al.  FraneItalia: a catalog of recent Italian landslides , 2018, Geoenvironmental Disasters.

[42]  Raymond C. Wilson.  The Rise and Fall of a Debris‐Flow Warning System for the San Francisco Bay Region, California , 2012 .

[43]  Benni Thiebes,et al.  Erratum to: Landslide Analysis and Early Warning Systems , 2012 .

[44]  M. Arattano,et al.  On the Use of Seismic Detectors as Monitoring and Warning Systems for Debris Flows , 1999 .

[45]  Hongde Wang,et al.  Real-time monitoring and early warning of landslides at relocated Wushan Town, the Three Gorges Reservoir, China , 2010 .

[46]  Fawu Wang,et al.  Landslide disaster mitigation in Three Gorges Reservoir, China , 2009 .

[47]  G Crosta,et al.  Continuous geotechnical monitoring for alert thresholds and hazard management , 2012 .

[48]  Kiminori Araiba,et al.  Movement of the Shuping landslide in the first four years after the initial impoundment of the Three Gorges Dam Reservoir, China , 2008 .

[49]  Shangqing Wang.  Time Prediction of the Xintan Landslide in Xiling Gorge, the Yangtze River , 2009 .

[50]  Graziella Devoli,et al.  Adapting the EDuMaP method to test the performance of the Norwegian early warning system for weather-induced landslides , 2017 .

[51]  Giovanni B. Crosta,et al.  Failure forecast for large rock slides by surface displacement measurements , 2003 .

[52]  Daniel Straub,et al.  Quantifying the effectiveness of early warning systems for natural hazards , 2015 .

[53]  Michele Calvello,et al.  Territorial early warning systems for rainfall-induced landslides , 2018 .

[54]  Michele Calvello,et al.  Early warning strategies to cope with landslide risk , 2017 .

[55]  Julia Mayer,et al.  Integration of a limit-equilibrium model into a landslide early warning system , 2014, Landslides.

[56]  Samuele Segoni,et al.  Landslides triggered by rainfall: A semi-automated procedure to define consistent intensity-duration thresholds , 2014, Comput. Geosci..

[57]  Thomas Glade,et al.  Landslide early warning systems – fundamental concepts and innovative applications , 2016 .

[58]  Lars Harald Blikra,et al.  Monitoring Displacement on the Mannen Rockslide in Western Norway , 2013 .

[59]  Jakob Rhyner,et al.  A debris-flow alarm system for the Alpine Illgraben catchment: design and performance , 2009 .

[60]  Benni Thiebes,et al.  Landslide analysis and integrative early warning – Local and regional case studies , 2012 .

[61]  Veronica Tofani,et al.  Report on evaluation of mass movement indicators , 2012 .

[62]  V. Cotecchia,et al.  The Second Hans Cloos Lecture. Experience drawn from the great Ancona landslide of 1982 , 2006 .

[63]  Yasumasa Itakura,et al.  Basic characteristics of ground vibration sensors for the detection of debris flow , 2000 .

[64]  Giuliani Andrea,et al.  A monitoring system for mitigation planning: the case of "Bagnaschino" landslide in northern Italy. , 2010 .

[65]  Michele Calvello,et al.  Assessing the performance of regional landslide early warning models: The EDuMaP method , 2015 .

[66]  Suzanne Lacasse,et al.  Learning to Live with Geohazards: From Research to Practice , 2011 .

[67]  Robert R. Stewart,et al.  Frank Slide a century later: the Turtle Mountain monitoring project , 2005 .

[68]  Matthias Jakob,et al.  A regional real-time debris-flow warning system for the District of North Vancouver, Canada , 2012, Landslides.

[69]  M. Calvello,et al.  Combined use of statistical and DInSAR data analyses to define the state of activity of slow-moving landslides , 2017, Landslides.