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NATURAL DISASTER RESEARCH, PREDICTI
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NATURAL DISASTER RESEARCH, PREDICTI
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CONTENTSPrefaceChapter 1Chapter 2Ch
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PREFACEA landslide is a geological
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Prefaceix1000 m 3 , rarely 10,000 m
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Prefacexidemonstrates the principle
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In: Landslides: Causes, Types and E
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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Mass Movements in Adriatic Central
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50Domenico Aringoli, Bernardino Gen
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52Domenico Aringoli, Bernardino Gen
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54Domenico Aringoli, Bernardino Gen
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56Domenico Aringoli, Bernardino Gen
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58Domenico Aringoli, Bernardino Gen
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60Domenico Aringoli, Bernardino Gen
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62Domenico Aringoli, Bernardino Gen
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64Domenico Aringoli, Bernardino Gen
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66Domenico Aringoli, Bernardino Gen
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68Domenico Aringoli, Bernardino Gen
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70Domenico Aringoli, Bernardino Gen
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In: Landslides: Causes, Types and E
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Causes and Effects of Landslides in
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Causes and Effects of Landslides in
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Causes and Effects of Landslides in
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Causes and Effects of Landslides in
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Causes and Effects of Landslides in
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Causes and Effects of Landslides in
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Causes and Effects of Landslides in
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Causes and Effects of Landslides in
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Causes and Effects of Landslides in
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Causes and Effects of Landslides in
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Causes and Effects of Landslides in
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Causes and Effects of Landslides in
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Causes and Effects of Landslides in
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Causes and Effects of Landslides in
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Causes and Effects of Landslides in
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Recognition of Likely Large-Scale L
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Recognition of Likely Large-Scale L
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Recognition of Likely Large-Scale L
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212 Tsuyoshi Ichimura and Muneo Hor
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214 Tsuyoshi Ichimura and Muneo Hor
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216 Tsuyoshi Ichimura and Muneo Hor
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218 Tsuyoshi Ichimura and Muneo Hor
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m)entpladism)entpladisbcedlmbcedlms
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222 Tsuyoshi Ichimura and Muneo Hor
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In: Landslides: Causes, Types and E
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Prediction of the Seismic Displacem
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Prediction of the Seismic Displacem
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Prediction of the Seismic Displacem
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Prediction of the Seismic Displacem
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Prediction of the Seismic Displacem
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Prediction of the Seismic Displacem
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Prediction of the Seismic Displacem
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Prediction of the Seismic Displacem
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Prediction of the Seismic Displacem
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Prediction of the Seismic Displacem
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Prediction of the Seismic Displacem
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Prediction of the Seismic Displacem
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In: Landslides: Causes, Types and E
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Faults Activity, Landslides and Flu
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Faults Activity, Landslides and Flu
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Faults Activity, Landslides and Flu
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Faults Activity, Landslides and Flu
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Faults Activity, Landslides and Flu
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264 Jiří Nedomaods for numerical
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266 Jiří NedomaFigure 5. Combinat
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268 Jiří Nedomaquakes or shocks a
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270 Jiří Nedomaan important role
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272 Jiří NedomaFrom the momentum
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274 Jiří Nedomain velocities. The
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276 Jiří Nedoma(A) Multibody cont
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278 Jiří NedomaFigure 8. Coeffici
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280 Jiří NedomaHence and from (34
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282 Jiří Nedomawhere F klc is a c
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284 Jiří Nedomamethods and algori
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286 Jiří Nedoma2.2.2. Variational
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288 Jiří Nedomaunique solution an
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290 Jiří NedomaLet 1 V h and V h
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292 Jiří NedomaChoose λ 0 h ∈
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294 Jiří Nedomaor not)α k+1 =
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296 Jiří Nedomatervals. The coeff
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298 Jiří NedomaIf one of the coll
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300 Jiří Nedomaelastic problem (s
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302 Jiří Nedomawith approximate i
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304 Jiří NedomaFrom the estimates
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306 Jiří Nedomaevolution. In the
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308 Jiří Nedomaτ ij n j = P i ,i
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310 Jiří Nedomatime element. In t
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312 Jiří Nedomaholds, where(u ′
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314 Jiří Nedomaconst. > 0, |a (n)
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316 Jiří Nedomawhere C is the glo
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318 Jiří Nedomawhere[v · n] s =
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320 Jiří Nedomawhere‖v h ‖ 1
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322 Jiří Nedomafor the quasi-stat
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324 Jiří Nedomak, l ∈{N, M, S}.
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326 Jiří NedomaSTEP 3. Set A k+1
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328 Jiří NedomaThe discrete appro
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330 Jiří Nedomaelasticity, which
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332 Jiří Nedomar∑∫ ∫(F, v)
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334 Jiří Nedomau 2 (x,t) ∈ L 2
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336 Jiří Nedomawhich are well-def
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338 Jiří Nedoma|T ε (t)| 2 0 +2c
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340 Jiří NedomaA priori estimates
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342 Jiří Nedoma|b p (u ′′ε(t
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344 Jiří NedomaFrom (192), (193)
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346 Jiří Nedomaa(u(t), v)+∫ t0a
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348 Jiří Nedomaindependent. Then
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350 Jiří NedomaFor the proof see
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352 Jiří Nedomaand using the nota
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354 Jiří Nedoma(i) the geometry o
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356 Jiří NedomaThroughtout the pa
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358 Jiří NedomaSince the function
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360 Jiří Nedomawith (256), where
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362 Jiří Nedoma{m h |‖m h ‖
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364 Jiří Nedomain which the incom
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366 Jiří NedomaProblem (P mi ) hk
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368 Jiří Nedomawell as the bridge
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370 Jiří Nedomabridge pier is bad
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372 Jiří NedomaFigure 18. The def
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374 Jiří NedomaFigure 20. The mod
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376 Jiří NedomaFigure 23. The Ale
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378 Jiří NedomaFigure 26. The loa
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380 Jiří NedomaFigure 30. The loa
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382 Jiří NedomaFigure 34. The loa
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384 Jiří Nedoma• temperature an
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386 Jiří Nedoma[23] I. Hlaváček
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388 Jiří Nedoma[54] J. Nedoma, On
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INDEXAABC, 219Abundance, 204accessi
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Index 393convex, 17, 18, 20, 31, 58
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Index 395116, 117, 124, 125, 129, 1
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Index 397Kkinematics, 2, 3, 7, 18,
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Index 399optical, 151, 155, 156, 16
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Index 401sampling, 136, 162, 164, 1
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Index 403transformation, 15, 54, 55