منابع مشابه
Moho depth variation in southern California from teleseismic receiver functions
The number of broa.dband three-component seismic stations in southern California. has more tb an tripled recently. In th is study we use the teleseismic receiver function technique to determine the crustal thicknesses and Vp / Vs ratios for th ese stations and map out t he lateral variation of Moho dept h under southern California. It is shown t hat a. receiver function can provide a very good ...
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Windmill structures must withstand very high horizontal loading giving an extremely large overturning moment on the foundation. These structures have very low stability loads in comparison to the overturning loads. The traditional way to solve the construction problem uses a shallow foundation with a massive concrete volume or a piled foundation to resist the extreme overturning moment. This wo...
متن کاملHunting for oceanic island Moho
S U M M A R Y The structure of the oceanic crust conforms in general to a very simple model. However, fine-scale variations of this structure in anomalous regions (such as beneath oceanic islands) remain poorly resolved. Here we examine teleseismic receiver functions (RFs) computed at four permanent broadband seismic stations on islands in the Pacific region. The RF method is ideal for examinin...
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The first five cases of human tick-borne encephalitis in Norway were reported from Tromöya, in Aust-Agder County. Serum specimens from 317 dogs in the same geographic area were collected. An enzyme immunoassay demonstrated antibody to human tick-borne encephalitis virus in 52 (16.4%) of the dogs, which supports the notion of an emerging disease.
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* Corresponding author. Abstract – Impervious surfaces are mapped by applying regression tree classification on Landsat ETM+ data of Østfold County located in Southern Norway. Reference data consist of high precision polygon vector data of roads, parking lots and buildings for a selected region (Fredrikstad Municipality) within the study area. The output from the classification using the regres...
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ژورنال
عنوان ژورنال: Geophysical Journal International
سال: 2009
ISSN: 0956-540X,1365-246X
DOI: 10.1111/j.1365-246x.2009.04240.x