scholarly journals A two-dimensional lithospheric magnetic anomaly field model of Egypt using the measurements from swarm satellites

Author(s):  
Adel Fathy ◽  
Essam Ghamry
1993 ◽  
Vol 48 (1) ◽  
pp. R25-R28 ◽  
Author(s):  
Madan Rao ◽  
Amitabha Chakrabarti

Author(s):  
Song-tong Han ◽  
Bo Zhang ◽  
Xiao-li Rong ◽  
Lei-xiang Bian ◽  
Guo-kai Zhang ◽  
...  

The ellipsoidal magnetization model has a wide range of application scenarios. For example, in aviation magnetic field prospecting, mineral prospecting, seabed prospecting, and UXO (unexploded ordnance) detection. However, because the existing ellipsoid magnetization formula is relatively complicated, the detection model is usually replaced by a dipole. Such a model increases the error probability and poses a significant challenge for subsequent imaging and pattern recognition. Based on the distribution of ellipsoid gravity potential and magnetic potential, the magnetic anomaly field distribution equation generated by the ellipsoid is deduced by changing the aspect ratio, making the ellipsoid equivalent to a sphere. The result of formula derivation shows that the two magnetic anomaly fields are consistent. This paper uses COMSOL finite element software to model UXO, ellipsoids, and spheres and analyzes magnetic anomalies. The conclusion shows that the ellipsoid model can completely replace the UXO model when the error range of 1nT is satisfied. Finally, we established two sets of ellipsoids and calculated the magnetic anomalous field distributions on different planes using deduction formulas and finite element software. We compared the experimental results and found that the relative error of the two sets of data was within [Formula: see text]‰. Error analysis found that the error distribution is standardized and conforms to the normal distribution. The above mathematical analysis and finite element simulation prove that the calculation method is simple and reliable and provides a magnetic field distribution equation for subsequent UXO inversion.


1992 ◽  
Vol 44 (3) ◽  
pp. 243-252 ◽  
Author(s):  
Zhen-chang AN ◽  
Shi-zhuang MA ◽  
Dong-hai TAN ◽  
D. R. BARRACLOUGH ◽  
D. J. KERRIDGE

Geophysics ◽  
1959 ◽  
Vol 24 (2) ◽  
pp. 366-369 ◽  
Author(s):  
Aivars Celmins

On page 748 of the above named paper, Affleck (1958) mentions an interesting behavior of magnetic anomalies which are caused by homogeneous magnetized two‐dimensional bodies. He states that in these cases the airborne magnetometer anomaly can be treated as either the vertical or horizontal component anomaly if the true magnetization is replaced by a pseudo‐magnetization of other direction and intensity. It may be of some interest to formulate this behavior more precisely, so much the more as the interdependence between the magnetization directions and the direction of a normal magnetic field can be expressed by a rather simple formula.


2011 ◽  
Vol 22 (08) ◽  
pp. 775-803 ◽  
Author(s):  
JIA-BEI ZENG ◽  
BIAO LENG ◽  
ZHANG XIONG ◽  
ZHENG QIN

In this paper, an extended FF model (floor field model) to simulate pedestrian dynamics in complex scenarios is proposed. Considering that pedestrians are unaware of the global view of traffic path, we introduce pedestrians' local views and propose a framework to change a pedestrian's static floor field each time they enter a new convex area. A pedestrian's view is limited to a convex polygon. When they travel from one convex area to another, they make decisions about the next goal according to the distances between them and the candidate goals, as well as densities of capacity and herding behaviors. Meanwhile, after making an initial decision about the next goal, a pedestrian can estimate the travel time to reach each visible goal and change their path adaptively within the convex area. Simulations in two scenarios are conducted and the results show that pedestrians under local views behave more practically than those under global views in complex scenarios. Parameter settings are also discussed along with suggestions that can be given to designers for improving traffic management.


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