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Titlebook: Subsurface Conditions; Michael S. Rosenbaum (Professor of Geological Engi Book 2003 Springer-Verlag Berlin Heidelberg 2003 Evolution.Inter

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31#
發(fā)表于 2025-3-26 22:18:00 | 只看該作者
32#
發(fā)表于 2025-3-27 01:14:56 | 只看該作者
Data requirements for geo-environmental management: end-user and producer perspectives for a harbour However, the economics of harbour operation do not encourage individual contractors or government agencies to fully consider the long-range effects. An additional problem for environmental monitoring of harbours is the lack of consistent documentation of basic sediment-related features. Integrating
33#
發(fā)表于 2025-3-27 05:17:38 | 只看該作者
34#
發(fā)表于 2025-3-27 12:06:34 | 只看該作者
35#
發(fā)表于 2025-3-27 16:31:58 | 只看該作者
Slope stability estimation using GIS: . spatial data, . complex spatial relationships of a particular location, make a . concerning the characteristics of a particular location, . datasets from different sources, . the data (inferring meaning) and make . by combining data layers according to purposely embodied rules (.).
36#
發(fā)表于 2025-3-27 21:38:38 | 只看該作者
37#
發(fā)表于 2025-3-27 21:56:46 | 只看該作者
38#
發(fā)表于 2025-3-28 04:55:01 | 只看該作者
Effect of strain-softening on settlement due to tunnelling in soft soilics. In this case, the design of a tunnel requires ground deformations to be controlled so as to avoid damage to buildings and to ensure the safety of the workforce. Empirical methods of evaluating displacement caused by tunnelling have not always proved suitable in sensitive urban areas. The goal o
39#
發(fā)表于 2025-3-28 10:14:16 | 只看該作者
A. Keith Turnertaxis and their application in other environments. The text presents significant generalizations on existing stochastic averaging theory developed from scratch and necessitated by the need to avoid violation of previous theoretical assumptions by algorithms which are otherwise effective in treating
40#
發(fā)表于 2025-3-28 13:37:43 | 只看該作者
Frank Kaalberg,Jacco Haasnoot,Holger Netzeltaxis and their application in other environments. The text presents significant generalizations on existing stochastic averaging theory developed from scratch and necessitated by the need to avoid violation of previous theoretical assumptions by algorithms which are otherwise effective in treating
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