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Comprehensive Analysis of Aerogeophysical Data Based on Geostatistics Techniques

Author: QinTao
Tutor: FuZongTang
School: Chinese Geology University (Beijing)
Course: Cartography and Geographic Information Engineering
Keywords: Geostatistics Kriging Variogram Airborne geophysical data Geographic Information Systems
CLC: P631
Type: Master's thesis
Year: 2006
Downloads: 104
Quote: 0
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Abstract


The measurement data interpolation AEROGEOPHYSICAL (gridding) the deal is the primary problem of the evaluation and interpretation of data, the choice of what interpolation method enables interpolation of the resultant surface can achieve the best results, it is a very important topic of the field. Geostatistics Geostatistics structural data distribution through research space and randomness can get more scientific unbiased optimal interpolation surface. Based on this advantage, the paper mainly studied Geostatistics for the feasibility of airborne geophysical data processing, in order to provide a new approach to the correlation analysis of the data space, which will be introduced to the processing of such data. Papers to Gansu Province airborne geophysical aeromagnetic, Airborne Radiometric measurement data, for example, conducted in-depth comprehensive analysis of the basic characteristics of the test data, several airborne geophysical data interpolation method. Subsequent GIS theory and traditions of several space interpolation method for a more comprehensive overview of, and focus on the theoretical basis of Geostatistics and a variety of space Kriging interpolation method to do a thorough and meticulous research. This feature of the regionalized variables, the choice of test data Geostatistics technology interpolation surface by the results of the analysis of ordinary kriging, co-kriging method, and finally in the GIS system completed a graphical manner The test data of the interpolated surface. Characteristics and trends in the Geostatistics technology specific implementation process, spatial distribution data analysis, the best type of kriging; inserted in the data at the same time a detailed study of aeromagnetic, airborne radiometric data spatial correlation, examine the direction of the effect to determine the best theoretical semivariogram model to study the mode of the variable-range value of the size of the interpolation results, and ultimately the best way to get the surface prediction diagram of the airborne geophysical data. Through the end surface of the analysis of the performance of aeromagnetic, Airborne Radiometric information in line with the corresponding study area's geological structure and rock distribution characteristics; same time, ordinary kriging interpolation method the traditional airborne geophysical data - cubic spline from the surface prediction function method similar to. Based on the above analysis and conclusions, I believe that Geostatistics method is feasible to deal with airborne geophysical data, the same time, it is worthwhile to use this method in accuracy assessment, data space is superior to other spatial interpolation method.

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CLC: > Astronomy,Earth Sciences > Geology > Geology, mineral prospecting and exploration > Geophysical exploration
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