“工程地质”主要术语（词汇）及用...
“工程地质”主要术语（词汇）及用法slope failure,rockfall, ,landslide等
★landslide We cannot be certain whether landslides did or did not occur in the regions outside of the mapped landslide area.
★landslide dam
★landslide Empirical studies suggest that the bedrock lithology, slope, ismic intensity, topographical amplification of ground motion, fracture systems in the underlying bedrock, groundwater conditions, and also the distribution of pre existing landslides all have some impact on the landslide distribution, among factors.
★landslide hazard The main objective of landslide hazard modeling is to predict areas prone to landslides either spatially or temporally.
★landslide In order to apply this approach to a global data t, we u multi
ple landslide inventories to calibrate the model. Using the model formula previously determined (using the Wenchuan earthquake data), we u the four datats discusd in Section 1.3.1 in our global databa to determine the coefficients for the global model.
★landslide probability The resulting databa is ud to build a predicative model of the probability of landslide occurrence.
★landslide susceptibility
★landslide Cells are classified as landslides if any portion of that grid cell contains a landslide obrvation, in order to easily incorporate binary obrvations into the logistic regression.
★ Substantial effort has been invested to understand where ismically induced
landslides may occur in the future, as they are a costly and frequently fatal threat in mountainous regions; Performance of the regression model is assd using statistical
goodness-of-fit metrics and a qualitative review to determine which combination of the proxies provides both the optimum predication of landslide-affected areas and minimizes the fal alarms in non-landslide zones; Approximately 5% of all earthquake-related fatalities are caud by ismically induced landslides, in some cas causing a majority of non-shaking deaths; Possible ca histories of earthquake-triggered landslides to add to the global datat include….
★landslip
★limit equilibrium methods
★line slope profile
★ In order to determine if such an increa in water levels could be the cau of incread down slope movement the bottom head boundary condition of both the Shetran and Flac-tp model was incread linearly by 0 to 4 m over the length of the lower slope and linearly by 4 to 5 m over the length of the upper slope.
★low angle failure
★lower slope
★macroscopic Unsaturated residual shear strength can also be ud as a macroscopic indicator of the nature of micro-structural changes experienced by the soils when subjected to drying.
★material parameters
★mechanical analysis
★mechanical landslide The data were originally calculated for the purpo of mechanical landslide modeling, and are ud here as a statistical constraint on landslide susceptibility.
★mechanical parameters
★mechanical propertied
★mechanical respon
★mechanical strains
★ The output pore water pressure were coupled to a mechanical analysis using the Flac-tp flow program in an attempt to distinguish the mechanisms active within the slope which were likely to produce the recorded pore water pressure.
★medium to low compressibility
★mid height
★mine tailings This paper reviews the factors, covering the characteristics, types and magnitudes, environmental impacts, and remediation of mine tailings dam failures.
★ The brown sand and gravel at depth were also omitted from the model as their effects on the surface failure were assumed to be minimal.
★ This conceptual model allowed the deformation of elements within the slope to be kept to a minimum.
★moisture We u the Compound Topographic Index (CTI) to reprent moisture content of the area.
★model output
★moment inertia
★monitoring campaign
★ At this time the measured displacement showed a sharp up slope movement followed by a steady but increasing down slope movement; …when a sudden down slope movement was measured; the nature of the event was uncertain yet it could be en that the increa in down slope movement occurred after the water level increa.
★movement rates
★null We also u the p-values (defined as the probability of finding a test statistic value as great as the obrved test statistic value, assuming that the null hypothesis is true) in order to asss the significance of each regression coefficient. In this ca, the null hypothesis is that the regression coefficient is equal to zero. We reject the null hypothesis if the p-value is less than the significance value (α) we choo; here, we uα=0.001, corresponding to a 99% confidence level. Therefore if p<α, we reject the null hypothesis, and thereby assume that the regression coefficient is not equal to zero, and equals the computed value (Peng et al., 2002).
