請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80587完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 莊昀叡(Ray Y. Chuang) | |
| dc.contributor.author | Hsiang-Chieh Liu | en |
| dc.contributor.author | 劉向倢 | zh_TW |
| dc.date.accessioned | 2022-11-24T03:10:03Z | - |
| dc.date.available | 2021-11-04 | |
| dc.date.available | 2022-11-24T03:10:03Z | - |
| dc.date.copyright | 2021-11-04 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-10-25 | |
| dc.identifier.citation | Ali, M.Z., Chu, H.-J., Chen, Y.-C., Ullah, S., 2021. Machine learning in earthquake- and typhoon-triggered landslide susceptibility mapping and critical factor identification. Environ. Earth Sci. 80, 233. Allstadt, K.E., Jibson, R.W., Thompson, E.M., Massey, C.I., Wald, D.J., Godt, J.W., Rengers, F.K., 2018. Improving Near‐Real‐Time Coseismic Landslide Models: Lessons Learned from the 2016 Kaikōura, New Zealand, EarthquakeImproving Near‐Real‐Time Coseismic Landslide Models. Bull. Seismol. Soc. Am. 108, 1649–1664. Anooshehpoor, A., Brune, J.N., 1989. Foam rubber modeling of topographic and Dam interaction effects at Pacoima Dam. Bull. Seismol. Soc. Am. 79, 1347–1360. Arias, A., 1970. A measure of earthquake intensity. Seismic Design for Nuclear Power Plants. Massachusetts Institute of Technology. Ayalew, L., Yamagishi, H., 2005. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology 65, 15–31. Barlow, J., Barisin, I., Rosser, N., Petley, D., Densmore, A., Wright, T., 2015. Seismically-induced mass movements and volumetric fluxes resulting from the 2010 Mw=7.2 earthquake in the Sierra Cucapah, Mexico. Geomorphology 230, 138–145. Bates, R.L., Jackson, J.A., 1987. Glossary of geology. Elsevier Science Pub. Co. Inc., New York. Bird, J.F., Bommer, J.J., 2004. Earthquake losses due to ground failure. Eng. Geol. 75, 147–179. Boatwright, J., Thywissen, K., Seekins, L.C., 2001. Correlation of Ground Motion and Intensity for the 17 January 1994 Northridge, California, Earthquake. Bull. Seismol. Soc. Am. 91, 739–752. Bourdeau, C., Havenith, H.-B., Fleurisson, J.-A., Grandjean, G., 2004. Numerical Modelling of Seismic Slope Stability, in: Hack, R., Azzam, R., Charlier, R. (Eds.), Engineering Geology for Infrastructure Planning in Europe: A European Perspective. Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 671–684. Budimir, M.E.A., Atkinson, P.M., Lewis, H.G., 2015. Seismically induced landslide hazard and exposure modelling in Southern California based on the 1994 Northridge, California earthquake event. Landslides 12, 895–910. Bzdok, D., Altman, N., Krzywinski, M., 2018. Statistics versus machine learning. Nat. Methods 15, 233–234. Chang, C.H., Wu, Y.M., Shin, T.C., Wang, C.Y., 2000. Relocation of the 1999 Chi-Chi earthquake in Taiwan. Terrestrial Atmospheric and. Chang, K.-T., Chiang, S.-H., Hsu, M.-L., 2007. Modeling typhoon- and earthquake-induced landslides in a mountainous watershed using logistic regression. Geomorphology 89, 335–347. Chen, G., Xia, M., Thuy, D.T., Zhang, Y., 2021. A possible mechanism of earthquake-induced landslides focusing on pulse-like ground motions. Landslides 18, 1641–1657. Chen, X., Liu, C., Wang, M., 2019. A method for quick assessment of earthquake-triggered landslide hazards: a case study of the Mw6.1 2014 Ludian, China earthquake. Bull. Eng. Geol. Environ. 78, 2449–2458. Chen, Y.-C., Chang, K.-T., Wang, S.-F., Huang, J.-C., Yu, C.-K., Tu, J.-Y., Chu, H.-J., Liu, C.-C., 2019. Controls of preferential orientation of earthquake‐ and rainfall‐triggered landslides in Taiwan’s orogenic mountain belt. Earth Surf. Processes Landforms. Chen, Y.-Y., Huang, W., Wang, W.-H., Juang, J.-Y., Hong, J.-S., Kato, T., Luyssaert, S., 2019. Reconstructing Taiwan’s land cover changes between 1904 and 2015 from historical maps and satellite images. Sci. Rep. 9, 3643. Cheng, Q., Tian, Y., Lu, X., Huang, Y., Ye, L., 2021. Near-real-time prompt assessment for regional earthquake-induced landslides using recorded ground motions. Comput. Geosci. 149, 104709. Chigira, M., Wu, X., Inokuchi, T., Wang, G., 2010. Landslides induced by the 2008 Wenchuan earthquake, Sichuan, China. Geomorphology 118, 225–238. Chigira, M., Yagi, H., 2006. Geological and geomorphological characteristics of landslides triggered by the 2004 Mid Niigta prefecture earthquake in Japan. Eng. Geol. 82, 202–221. Chuang, R.Y., Wu, B.S., Liu, H.-C., Huang, H.-H., Lu, C.-H., 2021. Development of a statistics-based nowcasting model for earthquake-triggered landslides in Taiwan. Eng. Geol. 289, 106177. Couronné, R., Probst, P., Boulesteix, A.-L., 2018. Random forest versus logistic regression: a large-scale benchmark experiment. BMC Bioinformatics 19, 270. Dai, F.C., Xu, C., Yao, X., Xu, L., Tu, X.B., Gong, Q.M., 2011. Spatial distribution of landslides triggered by the 2008 Ms 8.0 Wenchuan earthquake, China. J. Asian Earth Sci. 40, 883–895. Densmore, A.L., Hovius, N., 2000. Topographic fingerprints of bedrock landslides. Geology 28, 371–374. Dowrick, D.J., 1996. The Modified Mercalli earthquake intensity scale. Bull. New Zealand Soc. Earthq. Eng. 29, 92–106. Edwin, L., Keefer, D.K., 1990. 18. LANDSLIDES TRIGGERED BY THE EARTHQUAKE. The Coalinga, California Earthquake of May 2, 1983 335. Fan, X., Scaringi, G., Korup, O., West, A.J., Westen, C.J., Tanyas, H., Hovius, N., Hales, T.C., Jibson, R.W., Allstadt, K.E., Zhang, L., Evans, S.G., Xu, C., Li, G., Pei, X., Xu, Q., Huang, R., 2019. Earthquake‐induced chains of geologic hazards: Patterns, mechanisms, and impacts. Rev. Geophys. 57, 421–503. García-Rodríguez, M.J., Malpica, J.A., Benito, B., Díaz, M., 2008. Susceptibility assessment of earthquake-triggered landslides in El Salvador using logistic regression. Geomorphology 95, 172–191. Geli, L., Bard, P.-Y., Jullien, B., 1988. The effect of topography on earthquake ground motion: A review and new results. Bulletin of the Seismological Society of America. Godt, J., Sener, B., Verdin, K., Wald, D.J., Earle, P.S., Harp, E.L., Jibson, R., 2008. Rapid assessment of earthquake-induced landsliding, in: Proceedings of the First World Landslide Forum, United Nations University, Tokyo. earthquake.usgs.gov, pp. 3166–3161. Goetz, J.N., Brenning, A., Petschko, H., Leopold, P., 2015. Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling. Comput. Geosci. 81, 1–11. Gorum, T., Carranza, E.J.M., 2015. Control of style-of-faulting on spatial pattern of earthquake-triggered landslides. Int. J. Environ. Sci. Technol. 12, 3189–3212. Gorum, T., Fan, X., van Westen, C.J., Huang, R.Q., Xu, Q., Tang, C., Wang, G., 2011. Distribution pattern of earthquake-induced landslides triggered by the 12 May 2008 Wenchuan earthquake. Geomorphology 133, 152–167. Gorum, T., Korup, O., van Westen, C.J., van der Meijde, M., Xu, C., van der Meer, F.D., 2014. Why so few? Landslides triggered by the 2002 Denali earthquake, Alaska. Quat. Sci. Rev. 95, 80–94. Guzzetti, F., Mondini, A.C., Cardinali, M., Fiorucci, F., Santangelo, M., Chang, K.-T., 2012. Landslide inventory maps: New tools for an old problem. Earth-Sci. Rev. 112, 42–66. Hanley, J.A., McNeil, B.J., 1982. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143, 29–36. Harp, E.L., Jibson, R.W., 1996. Landslides triggered by the 1994 Northridge, California, earthquake. Bull. Seismol. Soc. Am. 86, S319–S332. Harp, E.L., Keefer, D.K., Sato, H.P., Yagi, H., 2011. Landslide inventories: The essential part of seismic landslide hazard analyses. Eng. Geol. 122, 9–21. Harp, E.L., Wilson, R.C., 1995. Shaking Intensity Thresholds for Rock Falls and Slides: Evidence from Whittier Narrows and Superstition Hills Earthquake Strong-Motion Records. Bull. Seismol. Soc. Am. 85, 1739–1757. Harp, E.L., Wilson, R.C., Wieczorek, G.F., 1981. Landslides from the February 4, 1976, Guatemala earthquake. US Government Printing Office Washington, DC. Hong, H., Pourghasemi, H.R., Pourtaghi, Z.S., 2016. Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models. Geomorphology 259, 105–118. Huang, A.Y.-L., Montgomery, D.R., 2014. Topographic locations and size of earthquake- and typhoon-generated landslides, Tachia River, Taiwan. Earth Surf. Processes Landforms 39, 414–418. Huang, J.-C., Milliman, J.D., Lee, T.-Y., Chen, Y.-C., Lee, J.-F., Liu, C.-C., Lin, J.-C., Kao, S.-J., 2017. Terrain attributes of earthquake- and rainstorm-induced landslides in orogenic mountain Belt, Taiwan. Earth Surf. Processes Landforms 42, 1549–1559. Huang, R., Fan, X., 2013. The landslide story. Nat. Geosci. 6, 325–326. Huang, R., Li, W., 2009. Development and distribution of geohazards triggered by the 5.12 Wenchuan Earthquake in China. Science in China Series E: Technological Sciences 52, 810–819. Huang, T.F., Lee, C.T., 1999. Landslides triggered by the Jueili earthquake, in: Proceedings of the 1999 Annual Meeting of the Geological Society of China, Taipei. Jenness, J., Brost, B., Beier, P., 2013. Land facet corridor designer. USDA forest service rocky mountain research station. Jibson, R.W., 2011. Methods for assessing the stability of slopes during earthquakes—A retrospective. Eng. Geol. 122, 43–50. Jibson, R.W., 1993. Predicting earthquake-induced landslide displacements using Newmark’s sliding block analysis. Transp. Res. Rec. 1411, 9–17. Jibson, R.W., Tanyaş, H., 2020. The influence of frequency and duration of seismic ground motion on the size of triggered landslides—A regional view. Eng. Geol. 273, 105671. Kao, S.J., Milliman, J.D., 2008. Water and Sediment Discharge from Small Mountainous Rivers, Taiwan: The Roles of Lithology, Episodic Events, and Human Activities. J. Geol. 116, 431–448. Kargel, J.S., Leonard, G.J., Shugar, D.H., Haritashya, U.K., Bevington, A., Fielding, E.J., Fujita, K., Geertsema, M., Miles, E.S., Steiner, J., Anderson, E., Bajracharya, S., Bawden, G.W., Breashears, D.F., Byers, A., Collins, B., Dhital, M.R., Donnellan, A., Evans, T.L., Geai, M.L., Glasscoe, M.T., Green, D., Gurung, D.R., Heijenk, R., Hilborn, A., Hudnut, K., Huyck, C., Immerzeel, W.W., Liming, J., Jibson, R., Kääb, A., Khanal, N.R., Kirschbaum, D., Kraaijenbrink, P.D.A., Lamsal, D., Shiyin, L., Mingyang, L., McKinney, D., Nahirnick, N.K., Zhuotong, N., Ojha, S., Olsenholler, J., Painter, T.H., Pleasants, M., Pratima, K.C., Yuan, Q.I., Raup, B.H., Regmi, D., Rounce, D.R., Sakai, A., Donghui, S., Shea, J.M., Shrestha, A.B., Shukla, A., Stumm, D., van der Kooij, M., Voss, K., Xin, W., Weihs, B., Wolfe, D., Lizong, W., Xiaojun, Y., Yoder, M.R., Young, N., 2016. Geomorphic and geologic controls of geohazards induced by Nepal’s 2015 Gorkha earthquake. Science 351, aac8353. Keefer, D.K., 2002. INVESTIGATING LANDSLIDES CAUSED BY EARTHQUAKES – A HISTORICAL REVIEW. Surv. Geophys. 23, 473–510. Keefer, D.K., 2000. Statistical analysis of an earthquake-induced landslide distribution — the 1989 Loma Prieta, California event. Eng. Geol. 58, 231–249. Keefer, D.K., 1984. Landslides caused by earthquakes. GSA Bulletin 95, 406–421. Keefer, D.K., Wartman, J., Navarro Ochoa, C., Rodriguez-Marek, A., Wieczorek, G.F., 2006. Landslides caused by the M 7.6 Tecomán, Mexico earthquake of January 21, 2003. Eng. Geol. 86, 183–197. Khazai, B., Sitar, N., 2004. Evaluation of factors controlling earthquake-induced landslides caused by Chi-Chi earthquake and comparison with the Northridge and Loma Prieta events. Eng. Geol. 71, 79–95. Kirasich, K., Smith, T., Sadler, B., 2018. Random Forest vs Logistic Regression: Binary Classification for Heterogeneous Datasets. SMU Data Science Review 1, 9. Kritikos, T., Robinson, T.R., Davies, T.R.H., 2015. Regional coseismic landslide hazard assessment without historical landslide inventories: A new approach. J. Geophys. Res. Earth Surf. 120, 711–729. Lee, C.-T., 2014. Statistical seismic landslide hazard analysis: An example from Taiwan. Eng. Geol. 182, 201–212. Lee, C.-T., 2013. Re-Evaluation of Factors Controlling Landslides Triggered by the 1999 Chi–Chi Earthquake, in: Earthquake-Induced Landslides. Springer Berlin Heidelberg, pp. 213–224. Lee, C.-T., Huang, C.-C., Lee, J.-F., Pan, K.-L., Lin, M.-L., Dong, J.-J., 2008. Statistical approach to earthquake-induced landslide susceptibility. Eng. Geol. 100, 43–58. Lee, E.-J., Liao, W.-Y., Lin, G.-W., Chen, P., Mu, D., Lin, C.-W., 2019. Towards Automated Real-Time Detection and Location of Large-Scale Landslides through Seismic Waveform Back Projection. Geofluids 2019. Lee, S., Evangelista, D.G., 2006. Earthquake-induced landslide-susceptibility mapping using an artificial neural network. Nat. Hazards Earth Syst. Sci. 6, 687–695. Lee, S.T., Yu, T.T., Peng, W.F., Wang, C.L., 2010. Incorporating the effects of topographic amplification in the analysis of earthquake-induced landslide hazards using logistic regression. Nat. Hazards Earth Syst. Sci. 10, 2475–2488. Liao, H.-W., Lee, C.-T., 2000. Landslides triggered by the Chi-Chi earthquake, in: Proceedings of the 21st Asian Conference on Remote Sensing, Taipei. pp. 383–388. Lin, A., Ouchi, T., Chen, A., Maruyama, T., 2001. Co-seismic displacements, folding and shortening structures along the Chelungpu surface rupture zone occurred during the 1999 Chi-Chi (Taiwan) earthquake. Tectonophysics 330, 225–244. Lin, M.-L., Tung, C.-C., 2004. A GIS-based potential analysis of the landslides induced by the Chi-Chi earthquake. Eng. Geol. 71, 63–77. Lin, W., 2008. Earthquake‐induced landslide hazard monitoring and assessment using SOM and PROMETHEE techniques: A case study at the Chiufenershan area in Central Taiwan. Int. J. Geogr. Inf. Sci. 22, 995–1012. Ma, Z., Mei, G., Piccialli, F., 2020. Machine learning for landslides prevention: a survey. Neural Comput. Appl. Marano, K.D., Wald, D.J., Allen, T.I., 2010. Global earthquake casualties due to secondary effects: a quantitative analysis for improving rapid loss analyses. Nat. Hazards 52, 319–328. Meentemeyer, R.K., Moody, A., 2000. Automated mapping of conformity between topographic and geological surfaces. Comput. Geosci. 26, 815–829. Merghadi, A., Yunus, A.P., Dou, J., Whiteley, J., ThaiPham, B., Bui, D.T., Avtar, R., Abderrahmane, B., 2020. Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance. Earth-Sci. Rev. 207, 103225. Meunier, P., Hovius, N., Haines, A.J., 2007. Regional patterns of earthquake-triggered landslides and their relation to ground motion. Geophys. Res. Lett. 34. Meunier, P., Hovius, N., Haines, J.A., 2008. Topographic site effects and the location of earthquake induced landslides. Earth Planet. Sci. Lett. 275, 221–232. Meunier, P., Uchida, T., Hovius, N., 2013. Landslide patterns reveal the sources of large earthquakes. Earth Planet. Sci. Lett. 363, 27–33. Micheletti, N., Foresti, L., Robert, S., Leuenberger, M., Pedrazzini, A., Jaboyedoff, M., Kanevski, M., 2014. Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping. Math. Geosci. 46, 33–57. Mohan, A., Singh, A.K., Kumar, B., Dwivedi, R., 2021. Review on remote sensing methods for landslide detection using machine and deep learning. Trans. emerg. telecommun. technol. 32. Moore, I.D., Grayson, R.B., Ladson, A.R., 1991. Digital terrain modelling: A review of hydrological, geomorphological, and biological applications. Hydrol. Process. 5, 3–30. Morton, D.M., 1971. Seismically triggered landslides in the area above the San Fernando Valley. The San Fernando, California, Earthquake of February 9, 99–104. Muchlinski, D., Siroky, D., He, J., Kocher, M., 2016. Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data. Polit. Anal. 24, 87–103. Nowicki Jessee, M.A., Hamburger, M.W., Allstadt, K., Wald, D.J., Robeson, S.M., Tanyas, H., Hearne, M., Thompson, E.M., 2018. A global empirical model for near‐real‐time assessment of seismically induced landslides. J. Geophys. Res. Earth Surf. 123, 1835–1859. Nowicki, M.A., Wald, D.J., Hamburger, M.W., Hearne, M., Thompson, E.M., 2014. Development of a globally applicable model for near real-time prediction of seismically induced landslides. Eng. Geol. 173, 54–65. Omine, H., Hayashi, T., Yashiro, H., Fukushima, S., 2008. Seismic risk analysis method using both PGA and PGV, in: The 14th World Conference on Earthquake Engineering, October. 128.46.154.21, pp. 12–17. Owen, L.A., Kamp, U., Khattak, G.A., Harp, E.L., Keefer, D.K., Bauer, M.A., 2008. Landslides triggered by the 8 October 2005 Kashmir earthquake. Geomorphology 94, 1–9. Parise, M., Jibson, R.W., 2000. A seismic landslide susceptibility rating of geologic units based on analysis of characteristics of landslides triggered by the 17 January, 1994 Northridge, California earthquake. Engineering Geology. Parker, R.N., Rosser, N.J., Hales, T.C., 2017. Spatial prediction of earthquake-induced landslide probability. Nat. hazards earth syst. sci. discuss. 1–29. Pham, B.T., Pradhan, B., Tien Bui, D., Prakash, I., Dholakia, M.B., 2016. A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India). Environmental Modelling Software 84, 240–250. Roback, K., Clark, M.K., West, A.J., Zekkos, D., Li, G., Gallen, S.F., Chamlagain, D., Godt, J.W., 2018. The size, distribution, and mobility of landslides caused by the 2015 Mw7.8 Gorkha earthquake, Nepal. Geomorphology 301, 121–138. Robinson, T.R., Rosser, N.J., Densmore, A.L., Williams, J.G., Kincey, M.E., Benjamin, J., Bell, H.J.A., 2017. Rapid post-earthquake modelling of coseismic landslide intensity and distribution for emergency response decision support. Nat. Hazards Earth Syst. Sci. 17, 1521–1540. Rodrı́guez, C.E., Bommer, J.J., Chandler, R.J., 1999. Earthquake-induced landslides: 1980–1997. Soil Dynamics and Earthquake Engineering 18, 325–346. Sappington, J.M., Longshore, K.M., Thompson, D.B., 2007. Quantifying landscape ruggedness for animal habitat analysis: A case study using bighorn sheep in the Mojave desert. J. Wildl. Manage. 71, 1419–1426. Sassa, K., Fukuoka, H., Wang, F., Wang, G., 2007. Progress in landslide science. Springer Science Business Media. Sato, H.P., Hasegawa, H., Fujiwara, S., Tobita, M., Koarai, M., Une, H., Iwahashi, J., 2007. Interpretation of landslide distribution triggered by the 2005 Northern Pakistan earthquake using SPOT 5 imagery. Landslides 4, 113–122. Sepúlveda, S.A., Murphy, W., Jibson, R.W., Petley, D.N., 2005. Seismically induced rock slope failures resulting from topographic amplification of strong ground motions: The case of Pacoima Canyon, California. Eng. Geol. 80, 336–348. Shyu, J.B.H., Yin, Y.-H., Chen, C.-H., Chuang, Y.-R., Liu, S.-C., 2020. Updates to the on-land seismogenic structure source database by the Taiwan Earthquake Model (TEM) project for seismic hazard analysis of Taiwan. TAO 31. Sitar Nicholas, Clough G. Wayne, 1983. Seismic Response of Steep Slopes in Cemented Soils. J. Geotech. Eng. 109, 210–227. Somerville, P.G., 2003. Magnitude scaling of the near fault rupture directivity pulse. Phys. Earth Planet. Inter. 137, 201–212. Somerville, P.G., Smith, N.F., Graves, R.W., Abrahamson, N.A., 1997. Modification of Empirical Strong Ground Motion Attenuation Relations to Include the Amplitude and Duration Effects of Rupture Directivity. Seismol. Res. Lett. 68, 199–222. Song, J., Gao, Y., Feng, T., 2018. Probabilistic assessment of earthquake-induced landslide hazard including the effects of ground motion directionality. Soil Dynamics and Earthquake Engineering 105, 83–102. Song, K., Wang, F., Dai, Z., Iio, A., Osaka, O., Sakata, S., 2019. Geological characteristics of landslides triggered by the 2016 Kumamoto earthquake in Mt. Aso volcano, Japan. Bull. Eng. Geol. Environ. 78, 167–176. Su, F., Cui, P., Zhang, J., Xiang, L., 2010. Susceptibility assessment of landslides caused by the wenchuan earthquake using a logistic regression model. J. Mt. Sci. 7, 234–245. Sun, D., Xu, J., Wen, H., Wang, D., 2021. Assessment of landslide susceptibility mapping based on Bayesian hyperparameter optimization: A comparison between logistic regression and random forest. Eng. Geol. 281, 105972. Tanyaş, H., Lombardo, L., 2019. Variation in landslide-affected area under the control of ground motion and topography. Eng. Geol. 260, 105229. Tanyas, H., Rossi, M., Alvioli, M., van Westen, C.J., Marchesini, I., 2019. A global slope unit-based method for the near real-time prediction of earthquake-induced landslides. Geomorphology 327, 126–146. Tanyaş, H., van Westen, C.J., Allstadt, K.E., Anna Nowicki Jessee, M., Görüm, T., Jibson, R.W., Godt, J.W., Sato, H.P., Schmitt, R.G., Marc, O., Hovius, N., 2017. Presentation and analysis of a worldwide database of earthquake-induced landslide inventories. J. Geophys. Res. Earth Surf. 122, 1991–2015. Tatard, L., Grasso, J.R., 2013. Controls of earthquake faulting style on near field landslide triggering: The role of coseismic slip. J. Geophys. Res. [Solid Earth] 118, 2953–2964. Tiwari, B., Ajmera, B., Dhital, S., 2017. Characteristics of moderate- to large-scale landslides triggered by the Mw7.8 2015 Gorkha earthquake and its aftershocks. Landslides 14, 1297–1318. Trigila, A., Iadanza, C., Esposito, C., Scarascia-Mugnozza, G., 2015. Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy). Geomorphology 249, 119–136. Tsangaratos, P., Ilia, I., Hong, H., Chen, W., Xu, C., 2017. Applying Information Theory and GIS-based quantitative methods to produce landslide susceptibility maps in Nancheng County, China. Landslides 14, 1091–1111. Umar, Z., Pradhan, B., Ahmad, A., Jebur, M.N., Tehrany, M.S., 2014. Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia. Catena 118, 124–135. Varnes, D.J., 1978. Slope movement types and processes. Special report 176, 11–33. Wald, D., Wald, L., Worden, B., Goltz, J., 2003. ShakeMap, a tool for earthquake response. Fact Sheet. Wang, F., Fan, X., Yunus, A.P., Siva Subramanian, S., Alonso-Rodriguez, A., Dai, L., Xu, Q., Huang, R., 2019. Coseismic landslides triggered by the 2018 Hokkaido, Japan (Mw 6.6), earthquake: spatial distribution, controlling factors, and possible failure mechanism. Landslides 16, 1551–1566. Wang, G.-Q., Zhou, X.-Y., Zhang, P.-Z., Igel, H., 2002. Characteristics of amplitude and duration for near fault strong ground motion from the 1999 Chi-Chi, Taiwan Earthquake. Soil Dyn. Earthq. Eng. 22, 73–96. Wang, H.B., Sassa, K., Xu, W.Y., 2007. Analysis of a spatial distribution of landslides triggered by the 2004 Chuetsu earthquakes of Niigata Prefecture, Japan. Nat. Hazards. Wang, W.-N., Wu, H.-L., Nakamura, H., Wu, S.-C., Ouyang, S., Yu, M.-F., 2003. Mass movements caused by recent tectonic activity: The 1999 Chi-chi earthquake in central Taiwan. Island Arc. Wang, X., Nie, G., Wang, D., 2010. Relationships between ground motion parameters and landslides induced by Wenchuan earthquake. Earthquake Science 23, 233–242. Weissel, J.K., Stark, C.P., 2001. Landslides triggered by the 1999 Mw7.6 Chi Chi earthquake in Taiwan and their relationship to topography, in: IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217). ieeexplore.ieee.org, pp. 759–761 vol.2. Wilson, J.P., Gallant, J.C., 2000. Digital Terrain Analysis. Terrain analysis: Principles and applications 6, 1–27. Wu, Y.-M., Teng, T.-L., Shin, T.-C., Hsiao, N.-C., 2003. Relationship between Peak Ground Acceleration, Peak Ground Velocity, and Intensity in Taiwan. Bull. Seismol. Soc. Am. 93, 386–396. Xi, W., Li, G., Moayedi, H., Nguyen, H., 2019. A particle-based optimization of artificial neural network for earthquake-induced landslide assessment in Ludian county, China. Geomatics, Natural Hazards and Risk 10, 1750–1771. Xu, C., 2015. Preparation of earthquake-triggered landslide inventory maps using remote sensing and GIS technologies: Principles and case studies. Geoscience Frontiers 6, 825–836. Xu, C., Xu, X., Shyu, J.B.H., Gao, M., Tan, X., Ran, Y., Zheng, W., 2015. Landslides triggered by the 20 April 2013 Lushan, China, Mw 6.6 earthquake from field investigations and preliminary analyses. Landslides 12, 365–385. Xu, C., Xu, X., Yao, X., Dai, F., 2014. Three (nearly) complete inventories of landslides triggered by the May 12, 2008 Wenchuan Mw 7.9 earthquake of China and their spatial distribution statistical analysis. Landslides 11, 441–461. Xu, C., Xu, X., Yu, G., 2013. Landslides triggered by slipping-fault-generated earthquake on a plateau: an example of the 14 April 2010, Ms 7.1, Yushu, China earthquake. Landslides 10, 421–431. Xu, Q., Zhang, S., Li, W., 2011. Spatial distribution of large-scale landslides induced by the 5.12 Wenchuan Earthquake. J. Mt. Sci. 8, 246. Yagi, H., Sato, G., Higaki, D., Yamamoto, M., Yamasaki, T., 2009. Distribution and characteristics of landslides induced by the Iwate–Miyagi Nairiku Earthquake in 2008 in Tohoku District, Northeast Japan. Landslides 6, 335. Yin, Y., Wang, F., Sun, P., 2009. Landslide hazards triggered by the 2008 Wenchuan earthquake, Sichuan, China. Landslides 6, 139–152. Yu, Y.-X., Gao, M.-T., 2001. Effects of the hanging wall and footwall on peak acceleration during the Jiji (Chi-Chi), Taiwan Province, earthquake. Acta Seismologica Sinica 14, 654–659. Zhang, Y.-B., Xiang, C.-L., Chen, Y.-L., Cheng, Q.-G., Xiao, L., Yu, P.-C., Chang, Z.-W., 2019. Permanent displacement models of earthquake-induced landslides considering near-fault pulse-like ground motions. J. Mt. Sci. 16, 1244–1257. Zhao, B., Li, W., Wang, Y., Lu, J., Li, X., 2019. Landslides triggered by the Ms 6.9 Nyingchi earthquake, China (18 November 2017): analysis of the spatial distribution and occurrence factors. Landslides 16, 765–776. 林冠瑋（2010）。台灣地區之河流輸砂量與岩性、逕流量及地震之相關性。國立臺灣大學地質科學研究所博士論文。取自https://hdl.handle.net/11296/xn2ur9。 柯明淳、黃明偉、林聖琪（2016）。地震山崩快速潛勢評估建立與應用。土木水利，43(3)，17-26。 詹勳全，張嘉琪，陳樹群，魏郁軒，王昭堡，李桃生（2015）。台灣山區淺層崩塌地特性調查與分析，中華水土保持學報，46(1)，19-28。 趙韋安（2020）。近即時震波式同震山崩潛感圖。行政院農業委員會水土保持局，共152頁。 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80587 | - |
| dc.description.abstract | 臺灣位於地震頻繁的板塊交界帶，地質年輕地形破碎，為受地震型山崩影響的高危險地區。地震型山崩是地震引發的地質災害中，對人類最具有立即性危害的災害之一，若能在地震過後迅速掌握地震型山崩的分布，可以協助減災決策。透過建立臨近預測模型，可以在地震過後迅速預測山崩分布，提供主要受災區域的資訊。統計與機器學習方法被大量用於建立崩塌潛勢模型研究，本研究透過統計與機器學習兩種方法，建立臺灣地震型山崩模型，並討論其異同。統計模型中選擇被廣泛使用的邏輯迴歸；機器學習方法中，選擇整體學習方法中常被使用的隨機森林。本研究使用1999集集地震山崩作為訓練資料，1998瑞里地震作為驗證資料，根據前人研究挑選並製作影響地震型山崩的因子，輸出的資料空間解析度為40公尺，透過山崩率的直方圖與計算點二項相關係數以及克拉瑪係數篩選地震型山崩的影響因子，再分別以邏輯迴歸與隨機森林篩選變數重要性並分別建立模型，同時測試隨機森林變數透過相關係數篩選後建立模型與隨機森林自行篩選所建立的模型預測的結果。研究結果顯示，在臺灣的地震山崩事件中，PGA以及PGA與粗糙度的共同作用，在這兩種方式建立的模型所提供的變數重要性中，相較其他因子都具有更高程度的重要性。利用此兩種方式建立的地震山崩模型都具有不錯的預測能力，根據模型的特性，當自變數眾多時，使用邏輯迴歸測試所有變數的排列組合的過程會變得相對複雜，此時可以使用隨機森林方法。若是在訓練資料相對稀少，或是自變數數量較少的情況、以及希望短臨近預測時間時，可以使用邏輯迴歸。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-24T03:10:03Z (GMT). No. of bitstreams: 1 U0001-2410202100402200.pdf: 5571706 bytes, checksum: 46831d52db5c7358dbb14c7a47046a07 (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | 口試委員會審定書 致謝 I 摘要 II ABSTRACT III 目錄 V 圖目錄 VII 表目錄 IX 第 1 章 前言 1 1.1 研究動機 1 1.2 研究目的 5 第 2 章 文獻回顧 6 2.1 地震型山崩定義 6 2.2 地震型山崩影響因子 7 2.2.1 地震影響因子 8 2.2.2 地形因子 13 2.2.3 地質因子 17 2.2.4 土壤因子 20 2.2.5 水文因子 21 2.2.6 土地使用因子 22 2.3 地震型山崩分布推估 28 2.3.1 遙測影像圈繪 28 2.3.2 物理模型 29 2.3.3 統計模型 31 2.3.4 機器學習 31 2.4 地震型山崩預測模型 33 2.4.1 邏輯迴歸模式 33 2.4.2 隨機森林模型 35 第 3 章 研究方法 37 3.1 模型發展策略 37 3.1.1 地震與崩塌資料 39 3.1.2 變數資料來源及製作 42 3.2 地震型山崩影響因子之選擇 60 3.3 邏輯迴歸模式之建構 63 3.4 隨機森林模型之建構 65 3.5 模型比較與驗證方式 69 第 4 章 研究結果 73 4.1 地震型山崩之重要影響因子 73 4.2 邏輯迴歸模式預測結果 80 4.3 隨機森林模型預測結果 86 4.4 邏輯迴歸與隨機森林預測結果之差異 88 第 5 章 討論 92 5.1 模型展現的臺灣地震山崩因子特性 92 5.2 崩塌閾值之選擇 97 5.3 邏輯迴歸與隨機森林於臺灣地震型山崩鄰近預測之特性 98 第 6 章 結論 103 參考文獻 104 | |
| dc.language.iso | zh-TW | |
| dc.subject | 地震引發山崩 | zh_TW |
| dc.subject | 機器學習 | zh_TW |
| dc.subject | 點二項相關 | zh_TW |
| dc.subject | 同震山崩 | zh_TW |
| dc.subject | 塊體運動 | zh_TW |
| dc.subject | coseismic landslide | en |
| dc.subject | mass movement | en |
| dc.subject | seismically-induced landslide | en |
| dc.subject | machine learning | en |
| dc.subject | point biserial correlation coefficient | en |
| dc.title | 利用邏輯迴歸與隨機森林方法建立臺灣地震型山崩臨近預測模型 | zh_TW |
| dc.title | Using logistic regression and random forest for nowcasting modeling of earthquake-triggered landslides in Taiwan | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.coadvisor | 吳秉昇(Bing Sheng Wu) | |
| dc.contributor.oralexamcommittee | 李宗祐(Hsin-Tsai Liu),陳毅青(Chih-Yang Tseng),陳致元 | |
| dc.subject.keyword | 同震山崩,地震引發山崩,塊體運動,點二項相關,機器學習, | zh_TW |
| dc.subject.keyword | coseismic landslide,seismically-induced landslide,mass movement,point biserial correlation coefficient,machine learning, | en |
| dc.relation.page | 114 | |
| dc.identifier.doi | 10.6342/NTU202104078 | |
| dc.rights.note | 同意授權(限校園內公開) | |
| dc.date.accepted | 2021-10-25 | |
| dc.contributor.author-college | 理學院 | zh_TW |
| dc.contributor.author-dept | 地理環境資源學研究所 | zh_TW |
| 顯示於系所單位： | 地理環境資源學系 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| U0001-2410202100402200.pdf 授權僅限NTU校內IP使用（校園外請利用VPN校外連線服務） | 5.44 MB | Adobe PDF |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。