the different similarity transformation (dst) technique (stavrev, 1997) utilizes a powerful and fully automatic tool for depth estimation of a point source through euler de-convolution. stavrev (1997) showed the results for the magnetic data of simple 2-d sources and aeromagnetic data along profiles. we apply the technique for the gravity data of 2-d rectangular models and real gravity data whi...

one of the most remarkable basis of the gravity data inversion is the recognition of sharp boundaries between an ore body and its host rocks during the interpretation step. therefore, in this work, it is attempted to develop an inversion approach to determine a 3d density distribution that produces a given gravity anomaly. the subsurface model consists of a 3d rectangular prisms of known sizes ...

This data article provides the weights, specific gravities and chemical compositions (moisture, protein, fat, ash, and carbohydrate) of potato tubers, for food processing use, from the Tokachi, Kamikawa and Abashiri areas of Hokkaido, Japan. Potato tubers of four cultivars ('Toyoshiro', 'Kitahime', 'Snowden' and 'Poroshiri') were employed in the current study. The weights and specific gravities...

Current research on antidumping suggests a number of channels through which antidumping affects the volume of world trade. This paper uses a structural approach to the gravity model framework to evaluate these hypotheses using data on trade volume over the period 1960-2001. We conclude that the volume and welfare effects have been negative, but quite modest. JEL classification: C230; F14; F15

coastal fars gravimetry project in fars province was carried out to find the buried salt domes and to determine characteristics of faults in this area. the lavarestan structure was covered by 4203 gravimetry stations in a regular grid of 1000*250 m. depth structural model of this anticline made in previous studies was based on geological evidences and structural geology measurements. in order t...

In this paper, modular neural network (MNN) inversion has been applied for the parameters approximation of the gravity anomaly causative target. The trained neural network is used for estimating the amplitude coefficient and depths to the top and bottom of a finite vertical cylinder source. The results of the applied neural network method are compared with the results of the least-squares stand...

We inverse the surface gravity data to recover subsurface 3D density distribution with two strategy. In the first strategy, we assumed wide density model bound for inverting gravity data and In the second strategy, the inversion procedure have been carried out by limited bound density. Wediscretize the earth model into rectangular cells of constant andunidentified density. The number of cells i...