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11.
Alejandro Rodríguez-Castellanos Manuel Carbajal-Romero Norberto Flores-Guzmán J. Efraín Rodríguez-Sánchez Andriy Kryvko 《地震工程与工程振动(英文版)》2017,16(3):571-585
This study quantifies seismic amplifications in near-shore arising from seaquakes. Within the Boundary Element Method, boundary elements are used to irradiate waves and force densities obtained for each element. Huygens′ Principle is implemented since the diffracted waves are constructed at the boundary from which they are radiated, which is equivalent to Somigliana′s theorem. Application of boundary conditions leads to a system of integral equations of the Fredholm type of second kind and zero order. Several numerical configurations are analyzed: The first is used to verify the present formulation with ideal sea floor configurations to estimate seismic amplifications. With the formulation verified, simple slope configurations are studied to estimate spectra of seismic motions. It is found that P-waves can produce seismic amplifications from 1.2 to 3.9 times the amplitude of the incident wave. SV-waves can generate seismic amplifications up to 4.5 times the incident wave. Another relevant finding is that the highest amplifications are at the shore compared to the ones at the sea floor. 相似文献
12.
Dynamic downscaling of global climate projections for Eastern Europe with a horizontal resolution of 7 km 总被引:2,自引:1,他引:1
Dirk Pavlik Dennis Söhl Thomas Pluntke Andriy Mykhnovych Christian Bernhofer 《Environmental Earth Sciences》2012,65(5):1475-1482
Climate change is one of the key factors influencing the quantity and quality of water resources in hydrologically sensitive
regions. In order to downscale global climate simulations from horizontal resolutions of about 125–200 km to about 7 km, a
double nesting strategy was chosen. The modelling approach was implemented with the Regional Climate Model CCLM (COSMO-Climate
Local Model) with a first nesting covering a central part of Europe and with a second nesting covering parts of Poland, Belarus,
and the Ukraine. A control run—driven by global reanalysis data—was evaluated by comparing the model results with corresponding
reference data. Long-term yearly and monthly mean differences of temperature and precipitation were statistically assessed.
As reference data for the first nesting, the gridded CRU data set with a horizontal resolution of about 55 km was used. Station
data of the NOAA and ECA databases were interpolated to provide an appropriate reference data set for the second nesting.
Both nestings overestimated long-term yearly precipitation means. Seasonal evaluation of the first nesting showed positive
precipitation biases for spring and winter months and negative biases in summer. Furthermore, differences in the spatial precipitation
patterns occured, especially in the high mountain area of the Carpathians. The second nesting overestimated precipitation
in spring and summer with smaller biases than in the first nesting. Long-term area means of temperature were properly reproduced.
The first nesting showed an overestimation for all months with maximal deviations in summer and spring. In contrast, the second
nesting was slightly too warm for summer and autumn and too cold for winter and spring. 相似文献
13.
Andriy Gnyp 《Acta Geophysica》2007,55(3):288-301
The evolution of spatial arrangement of the Transcarpathian earthquakes is studied by means of fractal analysis. Spatial correlation
dimension is evaluated for a subset of fixed number of catalogue events consecutively shifted in time by one event forward.
Distinctive patterns that may be related to different phases of local seismic cycle/cycles have been identified, corresponding
to extreme values of the dimension. Their potential relation to evolution of the seismogenic stress field is discussed. The
time it takes for the capacity dimension to reach the so-called percolation threshold is estimated for a subset consecutively
extended by adding next catalogue events. Temporal and spatial frames of percolation analysis are discussed in relation to
parameters of the future earthquake. 相似文献
14.
Total uncertainty in greenhouse gas (GHG) emissions changes over time due to “learning” and structural changes in GHG emissions. Understanding the uncertainty in GHG emissions over time is very important to better communicate uncertainty and to improve the setting of emission targets in the future. This is a diagnostic study divided into two parts. The first part analyses the historical change in the total uncertainty of CO2 emissions from stationary sources that the member states estimate annually in their national inventory reports. The second part presents examples of changes in total uncertainty due to structural changes in GHG emissions considering the GAINS (Greenhouse Gas and Air Pollution Interactions and Synergies) emissions scenarios that are consistent with the EU’s “20-20-20” targets. The estimates of total uncertainty for the year 2020 are made under assumptions that relative uncertainties of GHG emissions by sector do not change in time, and with possible future uncertainty reductions for non-CO2 emissions, which are characterized by high relative uncertainty. This diagnostic exercise shows that a driving factor of change in total uncertainty is increased knowledge of inventory processes in the past and prospective future. However, for individual countries and longer periods, structural changes in emissions could significantly influence the total uncertainty in relative terms. 相似文献