Computer Science ›› 2014, Vol. 41 ›› Issue (2): 257-260.

Previous Articles     Next Articles

Hybrid Inversion Algorithm of Thunder Cloud Equivalent Electric Charge Based on Multi-station Atmospheric Electric Field

XING Hong-yan and HUANG Yu   

  • Online:2018-11-14 Published:2018-11-14

Abstract: In order to inverse thunder cloud equivalent electric charge using the ground electric field data,this paper presented a thunderstorm cloud equivalent charge hybrid inversion algorithm.The algorithm combines the particle swarm method and Newton method through the combined mosaic hybrid structure and controlls the hybrid timing by constructing the mixed probability function.Giving the parameters thunder cloud charge structure,the thunder cloud equivalent charge is inversed based on the forward modeling results.The results show that the particle Newton’s method can effectively avoid the selection of initial value problems by strong global search capability,get better inversion results,and calculation time of a simple serial hybrid structure is short but the inversion effect is not good.Setting mosaic hybrid structure can better reflect the advantage of two algorithms,and building mixed probability density function can improve the computation efficiency.

Key words: Particle swarm,Newton’s method,Inversion of thunder cloud equivalent charge,Hybrid structure,Mixed probability density

[1] 谭涌波,陶善昌,祝宝友,等.云闪放电对云内电荷和电位分布影响的数值模拟[J].地球物理学报,2007,0(4):1053-1065
[2] 万浩江,魏光辉,陈强.地面电场数据在雷电三维数值模拟中的应用[J].计算机测量与控制,2010,8(8):1916-1927
[3] Marshall T C,Rust W D.Electric field soundings through thunderstorms[J].J Geophys Res,1991,96:22297-22306
[4] Stolzenburg M,Marshall T C.Charged precipitation and electric field in two thunderstorms[J].J Geophys Res,1998,103(D16):19777-19790
[5] Zhang Ting-long,Qie Xiu-shu,Yuan Tie,et al.The characteristics of cloud-to-ground lightning flashes and charge structure of a typical thun-derstorm in Chinese inland plateau [J].Chinese Journal of Atmospheric Sciences(in Chinese),2008,2(5):1221-1227
[6] 崔海华,郄秀书,张其林,等.甘肃中川地区云闪的多站同步观测及雷暴的等效电荷结构[J].高原气象,2009,8(4):808-815
[7] 张廷龙,言穆弘,张彤,等.利用地面电场对中川地区一次雷暴过程电荷结构的研究[J].高原气象,2010,29(6):1524-1532
[8] 李炳宇,萧蕴诗,汪镭.PSO算法在工程优化问题中的应用[J].计算机工程与应用,2004(18):74-76
[9] 康玉梅,刘建坡,李海滨,等.一类基于最小二乘法的声发射源组合定位算法[J].东北大学学报:自然科学版,2010,1(11):1648-1656
[10] Langdon W B,Poli R.Evolving problems to learn about particle swarm and other optimizers[C]∥Proc.CEC-2005.vol.1,5:81-88
[11] Parsopoulos K E,Vrahatis M N.Recent approaches to globaloptimization problems through partiele Swarm optimization[J].Natural Computing,2002,1(2/3):235-306
[12] Garnier S,Gautrais J,Theraulaz G.The biological principles of swarm intelligence [J].Swarm Intelligence,2007,30(1):3-31
[13] 李庆扬,王超能,易大义.数值分析[M].北京:清华大学出版社,2008:271-276
[14] 陈渭民.雷电学原理[M].北京:气象出版社,2006:268-270

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!