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41.
In this paper we analyze seismic regime and earthquake depth distribution and correlation of seismicity and mud volcanism in the Azerbaijan and the Caspian Sea region. For the present region we have calculated accurate source locations, seismic activity, earthquake repetition and released earthquake energy parameters. It is shown that the active tectonic processes in the region are concentrated within the thick sedimentary cover that we consider as a general source of contemporary stress and a main structural element responsible for the origin of regional earthquakes. The correlation of seismicity and mud volcanism is of paragenetic character. 相似文献
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台风作为事件性的强动力因素,其对河口海域沉积环境的影响目前研究较少,开展典型台风事件对长江口外海域悬浮体分布的影响研究对于深入理解长江径流挟带陆源物质向东海陆架扩散机制等具有重要意义。利用2015年09号台风"灿鸿"过境前后长江口外海域现场调查数据,分析台风前后长江口外水体结构和悬浮体粒度分布变化,结合同期环境观测数据与开源数据,阐明台风对河口外海域悬浮体分布的影响机制。结果表明:长江口外海域悬浮体中细颗粒组分(≤ 128μm)主要为无机矿物颗粒,而粗颗粒组分(>128μm)主要是生源有机颗粒。生源有机粗颗粒主要分布于中上层水体,而无机细颗粒主要分布于底层水体,使得长江口外海域悬浮体平均粒径分布呈双层结构。台风前后悬浮体粒度分布变化反映了台风对长江口外海域物理和生物过程的双重影响,其中物理过程主要影响无机细颗粒分布变化,生物过程主要影响有机粗颗粒。台风期间强烈的偏北风使得长江冲淡水在口门外海域由东北输运转为往东输运,与长江冲淡水输运方向一致的表层无机细颗粒在台风后输运方向同样往东。另外,台风作用在河口区产生的下降流将12250-4站位底部再悬浮的泥质沉积物向东搬运至12300-4站,导致12300-4站底层悬浮体浓度增加、粒度变细。台风过境还造成长江口外海域初级生产力提高,而浮游植物生长对悬浮体中有机粗颗粒的形成有促进作用,使得口门外海域上层水体中有机粗颗粒体积浓度升高。长江口外海域由于台风过境导致悬浮体中无机细颗粒和生源有机颗粒含量均增加,使得其平均粒径整体变化不大。 相似文献
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根据下立交区间基坑特点,合理制定基坑工程降水方案。经工程实践证明,通过疏干井、混合井、降压井的合理设置,联合使用,科学有效地治理了地下水,较好地控制了因降水产生的工程风险。 相似文献
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在隐性与显性旅游资源二元应用性分类框架的设想下,《隐性旅游资源显性化机理的现象学解读》一文通过演绎推理、实证研究等方法,第一次运用现象学(解释学)的本质直觉学说、非实显性变样理论、“交流理性”理论等对隐性旅游资源显性化机理进行了全新解读。它提出了洞悉隐性旅游资源本质的一条基本原则——身临其境的切身体验;认为隐性旅游资源是人的体验流中的一种相对性存在形态,是旅游吸引物的非实显性组成部分;为隐性旅游资源显性化构建出价值观动力、形象思维动力和平民化意识动力;最后通过对游客体验“真实性”问题的现象学阐述,为隐性旅游资源显性化即具有吸引力,寻找到动力源泉。 相似文献
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The Menilite Shales (Oligocene) of the Polish Carpathians are the source of low-sulfur oils in the thrust belt and some high-sulfur oils in the Carpathian Foredeep. These oil occurrences indicate that the high-sulfur oils in the Foredeep were generated and expelled before major thrusting and the low-sulfur oils in the thrust belt were generated and expelled during or after major thrusting. Two distinct organic facies have been observed in the Menilite Shales. One organic facies has a high clastic sediment input and contains Type-II kerogen. The other organic facies has a lower clastic sediment input and contains Type-IIS kerogen. Representative samples of both organic facies were used to determine kinetic parameters for immiscible oil generation by isothermal hydrous pyrolysis and S2 generation by non-isothermal open-system pyrolysis. The derived kinetic parameters showed that timing of S2 generation was not as different between the Type-IIS and -II kerogen based on open-system pyrolysis as compared with immiscible oil generation based on hydrous pyrolysis. Applying these kinetic parameters to a burial history in the Skole unit showed that some expelled oil would have been generated from the organic facies with Type-IIS kerogen before major thrusting with the hydrous-pyrolysis kinetic parameters but not with the open-system pyrolysis kinetic parameters. The inability of open-system pyrolysis to determine earlier petroleum generation from Type-IIS kerogen is attributed to the large polar-rich bitumen component in S2 generation, rapid loss of sulfur free-radical initiators in the open system, and diminished radical selectivity and rate constant differences at higher temperatures. Hydrous-pyrolysis kinetic parameters are determined in the presence of water at lower temperatures in a closed system, which allows differentiation of bitumen and oil generation, interaction of free-radical initiators, greater radical selectivity, and more distinguishable rate constants as would occur during natural maturation. Kinetic parameters derived from hydrous pyrolysis show good correlations with one another (compensation effect) and kerogen organic-sulfur contents. These correlations allow for indirect determination of hydrous-pyrolysis kinetic parameters on the basis of the organic-sulfur mole fraction of an immature Type-II or -IIS kerogen. 相似文献
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Histograms of observations from spatial phenomena are often found to be more heavy-tailed than Gaussian distributions, which
makes the Gaussian random field model unsuited. A T-distributed random field model with heavy-tailed marginal probability density functions is defined. The model is a generalization
of the familiar Student-T distribution, and it may be given a Bayesian interpretation. The increased variability appears cross-realizations, contrary
to in-realizations, since all realizations are Gaussian-like with varying variance between realizations. The T-distributed random field model is analytically tractable and the conditional model is developed, which provides algorithms
for conditional simulation and prediction, so-called T-kriging. The model compares favourably with most previously defined random field models. The Gaussian random field model
appears as a special, limiting case of the T-distributed random field model. The model is particularly useful whenever multiple, sparsely sampled realizations of the
random field are available, and is clearly favourable to the Gaussian model in this case. The properties of the T-distributed random field model is demonstrated on well log observations from the Gullfaks field in the North Sea. The predictions
correspond to traditional kriging predictions, while the associated prediction variances are more representative, as they
are layer specific and include uncertainty caused by using variance estimates. 相似文献