Determining the position, edges and dimensions of underground tunnels has always been the challenging issues in protecting underground structures. In this paper, the gravity method is used to identify buried cavities and structures. After introducing the method, the gravity data is modeled directly using the horizontal derivatives filter and the Blakely algorithm. After determining the boundaries and corners of the fabricated models, the depth of the anomalies is estimated using the Analytic Signal-Euler (An-Euler) method. A multi-cube model is simulated in multistructure with different depths to evaluate the ability of the gravity method in exploration of structures at different depths. Then, to explore airborne capability, a multi-cube model is simulated at different altitudes. Finally, by exploring the results of this simulation, appropriate solutions have been proposed to reduce the probability of exploration and increase the probability of camouflage of buried structures.
Abdolrazag Zad, T., & Seif, M. R. (2019). Underground Structures Detection with An-Euler and Blakely Methods Based on Gravity Data. Journal of Advanced Defense Science & Technology, 10(1), 55-66.
MLA
tohid Abdolrazag Zad; mohammad reza Seif. "Underground Structures Detection with An-Euler and Blakely Methods Based on Gravity Data", Journal of Advanced Defense Science & Technology, 10, 1, 2019, 55-66.
HARVARD
Abdolrazag Zad, T., Seif, M. R. (2019). 'Underground Structures Detection with An-Euler and Blakely Methods Based on Gravity Data', Journal of Advanced Defense Science & Technology, 10(1), pp. 55-66.
VANCOUVER
Abdolrazag Zad, T., Seif, M. R. Underground Structures Detection with An-Euler and Blakely Methods Based on Gravity Data. Journal of Advanced Defense Science & Technology, 2019; 10(1): 55-66.
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