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基于小波的地闪首次回击辐射场的多重分形分析
引用本文:苟学强, 张义军, 董万胜, 郄秀书. 基于小波的地闪首次回击辐射场的多重分形分析[J]. 地球物理学报, 2007, 50(1): 101-105,
作者姓名:苟学强  张义军  董万胜  郄秀书
作者单位:1 西北师范大学物理与电子工程学院,兰州730070 2 中国科学院寒区旱区环境与工程研究所,兰州730000
基金项目:国家自然科学基金,科技部科技基础条件平台建设计划
摘    要:利用2002年夏季青海野外观测慢天线电场变化仪资料,应用小波变换模极大方法对地闪首次回击辐射场的检测及多重分形谱特征进行了分析.发现小波分解在小尺度上的时间变异系数在回击主脉冲峰处(回击点)呈现明显的尖峰,据此可对回击点进行快速可靠的检测;地闪回击辐射场多重分形谱可用推广的多重分形二项倍增串级公式比较精确地拟合,最小标度指数及谱宽度平均分别为-0.11和1.5,是重要的回击特征参数,而小波及多重分形应是闪电信号处理的重要工具.

关 键 词:回击辐射场   小波   多重分形   闪电
文章编号:0001-5733(2007)01-0101-05
收稿时间:2005-12-14
修稿时间:2005-12-14

Wavelet-based multifractal analysis of the radiation field of first return stroke in cloud-to-ground discharge
GOU Xue-Qiang, ZHANG Yi-Jun, DONG Wan-Sheng, QIE Xiu-Shu. Wavelet-based multifractal analysis of the radiation field of first return stroke in cloud-to-ground discharge[J]. Chinese Journal of Geophysics (in Chinese), 2007, 50(1): 101-105,
Authors:GOU Xue-Qiang  ZHANG Yi-Jun  DONG Wan-Sheng  QIE Xiu-Shu
Affiliation:1 College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China 2 Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China
Abstract:By using electric field change data obtained during the summer of 2002 in Qinghai province,we analyze the detection of the radiation field of first return stroke involved in negative cloud-to-ground lightning discharges and its multifractal behavior with the Wavelet Transform Modulus Maxima(WTMM) method.We find that the variation of wavelet coefficients at the lower level of decomposition exhibit a sharp peak just at the position of the main pulse peak of return stroke(return stroke point),thus the return stoke points can be reliably and effectively detected.We also find that the radiation field of first return stroke exhibits strong multifractality,and all scaling behavior can be fitted with a modified version of the binomial multiplicative cascade multifractal model.The two characteristic parameters,the mean width of spectrum and the minimum spectrum exponent,are 1.5 and-0.11 respectively.We suggest that the wavelet and multifractal method is a powerful tool for detection and reorganization of lightning signals.
Keywords:Radiation field of return stroke  Wavelet  Multifractal  Lightning
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