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NTIS 바로가기한국산림과학회지 = Journal of korean society of forest science, v.108 no.2, 2019년, pp.208 - 215
강민정 (국립산림과학원 산림방재연구과) , 서준표 (국립산림과학원 산림방재연구과) , 김동엽 (국립산림과학원 산림방재연구과) , 이창우 (국립산림과학원 산림방재연구과) , 우충식 (국립산림과학원 산림방재연구과)
The goal of this study was to analyze the reactivity of a volumetric water content sensor (soil moisture sensor) and tensiometer and to review their use in the early detection of a shallow landslide. We attempted to demonstrate shallow and rapid slope collapses using three different soil ratios unde...
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핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
조기경보시스템이란? | 조기경보시스템(early warning system)은 ‘인명, 재산피해, 환경 등에 대한 위협요인의 영향을 회피하거나 최소화하는 감시 도구’로 정의되며(Medina-Cetina and Nadim, 2008), 자연재해의 피해를 최소화하기 위한 비구조물 대책의 일환으로 다양하게 활용되어 왔다. 산사태 조기경보시스템은 일반적으로 사방댐 등의 전통적인 구조물 대책과 비교하여 경제적이고 환경에 대한 영향을 최소화한다는 장점을 가지고 있으며(Intrieri et al. | |
산사태 붕괴모의실험에 있어서 한계점은? | 붕괴모의실험은 소요되는 시간과 비용에 비해 유효한 데이터를 얻을 가능성이 매우 낮고 여러 영향인자들의 작용으로 해석이 어렵다는 단점을 가지고 있다. 특히, 산사태붕괴모의는 인공적으로 구성한 사면규모에 제약이 있으므로 치수효과 등의 장치 설정이 어려워 자연사면과 동일한 조건을 형성하는데 한계가 있다(Moriwaki et al., 2004). | |
산사태 조기경보시스템의 형태는? | 산사태 조기경보시스템은 대상지의 공간적 범위, 산사태 유형 및 특성, 활용 가능한 자원 및 예산 등에 의해 다양한 형태로 구현될 수 있다. 그중에서도 공간적 범위는 산사태 조기경보시스템의 형태를 결정짓는 가장 중요한 요인 중 하나로서, 이탈리아(Rossi et al. |
Akca, D. 2013. Photogrammetric monitoring of an artificial generated shallow landslide. The Photogrammetric Record 28(142): 178-195.
Arnhardt, C., Asch, K., Azzam, R., Bill, R., Fernandez-Steeger, T.M., Homfeld, S.D., Kallash, A., Niemeyer, F., Ritter, H., Toloczyki, M. and Walter, K. 2007. Sensor based landslide early warning system - SLEWS: development of a geoservice infrastructure as basis for early warning systems for landslides by integration of real-time sensors. Geotechnologien Science Report, the Proceeding of Early Warning Systems in Earth Management, Kick-Off-Meeting, 10 Oct. 2007, Karlsruhe, Germany. pp. 75-88.
Askarinejad, A., Casini, F., Bischof, P., Beck, A. and Springman, S.M. 2012. Rainfall induced instabilities: a field experiment on a silty sand slope in northern Switzerland. Rivista Italiana Di Geotechnica 2012(3): 50-71.
Chae, B.G. and Kim, M.I. 2012. Suggestion of a method for landslide early warning using the change in the volumetric water content gradient due to rainfall infiltration. Environmental Earth Sciences 66: 1973-1986.
Debieche, T.-H., Bogaard, T.A., Marc, V., Emblanch, C., Krzeminska, D.M. and Malet, J.-P. 2012. Hydrological and hydrochemical processes observed during a large-scale infiltration experiment at the Super-Sauze mudslide (France). Hydrological Processes 26: 2157-2170.
Decagon Devices, Inc. website. http://www.decagon.com/products/soils/volumetricwater-content-sensors/10hs-soil-moisturelarge-area-of-influence/ (2018.07.01).
Greco, R., Guida, A., Damiano, E. and Olivares, L. 2010. Soil water content and suction monitoring in model slopes for shallow flowslides early warning applications. Physics and Chemistry of the Earth 35: 127-136.
Hakro, M.R. and Harahap, I.S.H. 2015. Laboratory experiments on rainfall-induced flowslide from pore pressure and moisture content measurements. Natural Hazards and Earth System Sciences Discussions 3: 1575-1613.
ICT international website. http://www.ictinternational.com/products/gt3-15-tensiometer-transducer-100-kpa-to-100-kpa/?from/pro ducts/soils/waterpotential-field/ (2018.07.01).
Intrieri, E., Gigli, G., Casagli, N. and Nadim, F. 2013. Landslide early warning system: toolbox and general concepts. Natural Hazards and Earth System Science 13: 85-90.
Ju, N., Huang, J., Huang, R., He, C. and Li, Y. 2015. A real-time monitoring and early warning system for landslides in Southwest China. Journal of Mountain Science 12(5): 1219-1228.
KIGAM (Korea Institute of Geoscience and Mineral Resources). 2015. Development of an Integrated Early Detection Technology of Landslides Based on a Real-time Monitoring. KIGAM Report No. GP2015-024-2015(1). pp. 334.
KIGAM (Korea Institute of Geoscience and Mineral Resources). 2016. Development of an Integrated Early Detection Technology of Landslides Based on a Real-time Monitoring. KIGAM Report No. GP2015-024-2016(2). pp. 217.
Kim, D., Seo, J., Lee, C. and Woo, C. 2016. Analysis on the behaviors of soil water characteristic sensors through rainfall-induced landslide flume experiments. Journal of the Korean Society of Hazard Mitigation 16(6): 209-318.
Kim, G. and Lee, H. 2012. GIS based analysis of landslides factor effect in Inje area using the theory of quantification II. Journal of Korea Spatial Information Society 20(3): 57-66.
Kim, K. 2007. Analysis of soil characteristics and its relationship according to the geological condition in natural slopes of the landslide area. Engineering Geology 17: 205-215.
Lehmann, P., Gambazzi, F., Suski, B., Baron, L., Askarinejad, A., Springman, S.M., Holliger, K. and Or, D. 2013. Evolution of soil wetting patterns preceding a hydrologically induced landslide inferred from resistivity survey and point measurements of volumetric water content and pore water pressure. Water Resources Research 49: 7992-8004.
Lora, M., Camporese, M., Troch, P.A. and Salandin, P. 2016. Rainfall-triggered shallow landslides: infiltration dynamics in a physical hillslope model. Hydrological Processes 30: 3239-3251.
Lu, P., Wu, H., Qiao, G., Li, W., Scaioni, M., Feng, T., Liu, S., Chen, W., Li, N., Liu, C., Tong, X., Hong, Y. and Li, R. 2015. Model test study on monitoring dynamic process of slope failure through spatial sensor network. Environmental Earth Sciences 74: 3315-3332.
Ma, J., Tang, H., Hu, X., Bobet, A., Yong, R. and Ez Eldin, M.A.M. 2017. Bulletin of Engineering Geology and the Environment 76: 323-339.
Medina-Cetina, Z. and Nadim, F. 2008. Stochastic design of an early warning system. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 2: 223-236.
Mirus, B.B., Morphew, M.D. and Smith, J.B. 2018. Developing hydro-meteorological thresholds for shallow landslide initiation and early warning. Water 10. doi:10.3390/w10091274.
Moriwaki, H., Inokuchi, T., Hattanji, T., Sassa, K., Ochiai, H., Wang, G. 2004. Failure Processes in a Full-scale Landslide Experiment using a Rainfall Simulator. Landslides 1(4): 277-288.
Osanai, N., Shimizu, T., Kuramoto, K., Kojima, S. and Noro, T. 2010. Japanese early-warning for debris flows and slope failures using rainfall indices with radial basis function network. Landslides 7(3): 325-338.
Reid, M.E., Baum, R.L., LaHusen, R.G., and Ellis, W.L. 2008. Capturing landslide dynamics and hydrologic triggers using near-real-time monitoring. Landslides and Engineered Slopes: From the Past to the Future. pp. 179-191.
Rossi, M., Peruccacci, S., Brunetti, M.T., Marchesini, I., Luciani, S., Ardizzone, F., Balducci, V., Bianchi, C., Cardinali, M., Fiorucci, F., Mondini, A.C., Reichenbach, P., Salvati, P., Santangelo, M., Bartolini, D., Gariano, S.L., Palladino, M., Vessia, G., Viero, A., Antronico, L., Borselli, L., Deganutti, A.M., Iovine, G., Luino, F., Parise, M., Polemio, M., Guzzetti, F., Luciani, S., Fiorucci, F., Mondini, A.C., Santang, M. and Tonelli, G. 2012. SANF: National warning system for rainfall-induced landslides in Italy. Landslides and Engineered Slopes: Protecting Society through Improved Understanding. pp. 1895-1899.
Sasahara, K. and Sakai, N. 2014. Development of shear deformation due to the increase of pore pressure in a sandy model slope during rainfall. Engineering Geology 170: 43-51.
Segoni, S., Rosi, A., Fanti, R., Gallucci, A., Monni, A. and Casagli, N. 2018. A regional-scale landslide warning system based on 20 years of operational experience. Water 10. doi:10.3390/w10101297.
Seo, W.G., Choi, J.H., Chae, B.G. and Song, Y.S. 2017. Characteristics of landslide occurrence and change in the matric suction and volumetric water content due to rainfall infiltration. Journal of Engineering Geology 27(4): 475-487.
Thiebes, B., Bell, R., Glade, T., Jager, S., Mayer, J., Anderson, M. and Holcombe, L. 2014. Integration of a limitequilibrium model into a landslide early warning system. Landslides 11: 859-875.
Wu, L.Z., Zhou, Y., Sun, P., Shi, J.S., Liu, G.G. and Bai, L.Y. 2017. Laboratory characterization of rainfall-induced loess slope failure. Catena 150: 1-8.
Yuliza, E., Habil, H., Munir, M.M., Irsyam, M., Abdullah, M. and Khairurrijal. 2016. Study of soil moisture sensor for landslide early warning system: experiment in laboratory scale. Journal of Physics: Conference Series 739. doi: 10.1088/1742-6596/739/1/012034.
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