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Tectonic Boundaries and Depth Estimate of Some Gravity Sources in Diyala Area, East Central Iraq
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 The Bouguer gravity and magnetic RTP anomalies data were used to detect the main tectonic boundaries of middle and south of Diyala Province, east Iraq. Window method   was used to separate the residual anomalies using different space windows for the Bouguer and Magnetic RTP maps. The residual anomaly processed in order to reduce noise and give a more comprehensive vision about subsurface lineaments structures. Results for descriptive  interpretation presented as contour maps in order to locate directions and extensions of  lineaments feature which may interpret  as faults. The gradient technique is used for depth estimation  of some gravity source which shows that the sources depth range between (13.65 - 5.36) km. Some gravity sources confirms the depth of basement rocks, while other shallow sources related to sedimentary cover, on an assumption of body source approximated to a horizontal cylindrical. The Total Horizontal Derivative (THD) technique is used to identify the faults trends in the sedimentary cover and basement rocks depending upon gravity and magnetic data. The identified faults in the study area show (NW-SE),(NE-SW) and(N-S)trends. Most faults extending from the basement to the upper most layer of the sedimentary cover rocks. Depending on the detected faults, the main tectonic boundaries of the region were obtained.

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Publication Date
Thu Aug 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
مقارنة مقدرات بيز لدالة المعولية لتوزيع باريتو من النوع الاول باستعمال دوال معلوماتية مضاعفة مختلفة
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The comparison of double informative priors which are assumed for the reliability function of Pareto type I distribution. To estimate the reliability function of Pareto type I distribution by using Bayes estimation, will be  used two different kind of information in the Bayes estimation; two different priors have been selected for the parameter of Pareto  type I distribution . Assuming distribution of three double prior’s chi- gamma squared distribution, gamma - erlang distribution, and erlang- exponential distribution as double priors. The results of the derivaties of these estimators under the squared error loss function with two different double priors. Using the simulation technique, to compare the performance for

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