Abstract
Landslide early warning systems (EWS) are an important tool to reduce landslide risks, especially where the potential for structural protection measures is limited. However, design, implementation, and successful operation of a landslide EWS is complex and has not been achieved in many cases. Critical problems are uncertainties related to landslide triggering conditions, successful implementation of emergency protocols, and the response of the local population. We describe here the recent implementation of a landslide EWS for the Combeima valley in Colombia, a region particularly affected by landslide hazards. As in many other cases, an insufficient basis of data (rainfall, soil measurements, landslide event record) and related uncertainties represent a difficult complication. To be able to better assess the influence of the different EWS components, we developed a numerical model that simulates the EWS in a simplified yet integrated way. The results show that the expected landslide-induced losses depend nearly exponentially on the errors in precipitation measurements. Stochastic optimization furthermore suggests an increasing adjustment of the rainfall landslide-triggering threshold for an increasing observation error. These modeling studies are a first step toward a more generic and integrated approach that bears important potential for substantial improvements in design and operation of a landslide EWS.
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Acknowledgements
This research was supported by the Swiss Agency for Development and Cooperation and by the European Commission project GEO-BENE (http://www.geo-bene.eu), led by the International Institute for Applied Systems Analysis (IIASA). Collaborations with the Colombian Dirección General de Prevención y Atención de Desastres (DPAD), the Comité Regional de Prevención y Antención de Desastres del Tolima (CREPAD), the Instituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM), the Instituto Colombiano de Minería y Geología (INGEOMINAS), the Corporación Regional del Tolima (CORTOLIMA), and the Colombian Red Cross are much appreciated. We would furthermore like to thank Elena Moltchanova for useful discussions and support and Horst Machguth for support with ERA-40 data processing.
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Huggel, C., Khabarov, N., Obersteiner, M. et al. Implementation and integrated numerical modeling of a landslide early warning system: a pilot study in Colombia. Nat Hazards 52, 501–518 (2010). https://doi.org/10.1007/s11069-009-9393-0
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DOI: https://doi.org/10.1007/s11069-009-9393-0