Geotechnics for Sustainable Infrastructure Development pp 1217-1224 | Cite as
Utilization of Geoinformatics for Geohazard Assessment in Philippine Infrastructures
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Several infrastructures in the Philippines are located in areas that are highly vulnerable to geohazards. In performing site-specific assessment of the susceptibility of infrastructures to these hazards and in turn, reducing the risk they pose to lives and property, the field of geoinformatics proves to be particularly valuable. Because of advances in geoinformatics, such as Light Detection and Ranging (LiDAR) technology and aerial photography, better data for geohazard assessment have become accessible. With the refinement of available geoinformatics data, previously unrecognized features such as scars of old landslides, gullies, erosion, and quaternary faults, which are indicators of how prone a site is to geohazards, can now be easily detected. This paper presents the usage of geoinformatics tools particularly LiDAR, satellite imagery, and drone photography, for a rapid geohazard assessment of an earthquake-prone area containing critical infrastructure.
Keywordsgeoinformatics geotechnical and geohazard assessment landslides debris flow risk reduction
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The authors would like to acknowledge the invaluable contributions of their colleagues at AMH Philippines, Inc., particularly members of the geotechnical practice-based group, and most especially Engr. Roy Anthony Luna, MSCE, Engr. Arlene Buenaventura, and Trisha Leigh Lunas, whose work primarily helped form the basis of this paper.
- Choi, J., Kim, Y. & Choi, S. (2015). Identification of a suspected quaternary fault in eastern Korea: proposal for a paleoseismic research procedure for the mapping of active faults in Korea. Journal of Asian Earth Sciences, 113, pp 897-908.Google Scholar
- Guzzetti, F., Carrara, A., Cardinali, M. & Reichenbach, P. (1999). Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology, 31, pp 181-216.Google Scholar
- Guzzetti, F., Mondini, A., Cardinali, M., Fiorucci, F., Santangelo, M. & Chang, K. (2012). Landslide inventory maps: new tools for an old problem. Earth Science Reviews, 112, pp 42-66.Google Scholar
- Kiss, A. & Mikus, D. (2017). Airborne laser scanning and aerial hyperspectral imaging technologies in disaster management: Hungary, Kolantar red-mud spill. [online] In-service ICT Training for Environmental Professionals. Available at: http://isepei.org/casestudies/krf/airborne-laser-scanning-red-mud [Accessed 18 September 2019].
- Mines and Geosciences Bureau (n.d.). National geohazard assessment and mapping program. [pdf] Quezon City: Department of Environment and Natural Resources. Available at: http://www.mgb.gov.ph/attachments/article/4/TSBen.pdf [Accessed 25 July 2019].
- Philippine Institute of Volcanology and Seismology (2004). Earthquake-triggered landslide susceptibility map based on critical acceleration values and earthquake intensities.Google Scholar
- Philippine Institute of Volcanology and Seismology (2018). Liquefaction susceptibility map of the Philippines.Google Scholar
- Miner, A., Flentje, P., Mazengarb, C. & Windle, D. (2010). Landslide recognition using LiDAR derived digital elevation models – lessons learnt from selected Australian examples. Proceedings of the 11th IAEG Congress of the International Association of Engineering Geology and the Environment, Auckland, New Zealand, pp 1-9.Google Scholar
- Quebral, R., Luna, R., Buenaventura, A. & Lunas, T. (2018). Application of LiDAR data in combination with drone aerial photography for geohazard assessment and mitigation in Philippine infrastructures. International Conference on GIS and Geoinformatics Zoning for Disaster Mitigation, November, Auckland, New Zealand.Google Scholar
- Sharma, Y., Purohit, D. & Sharma, S. (2017). Applicability aspects of geoinformatics in geotechnical engineering. American Journal of Engineering Research, 6(10), pp 71-75.Google Scholar