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EARTHQUAKE ›› 2003, Vol. 23 ›› Issue (2): 59-69.

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The Ms-weighted 4- index bladeal gorithm and its application for identifying the seismicbelts in the Great North China

QIN Cheng- zhi1, PEI Tao1, ZHOU Cheng -hu1, LI Quan- lin2, HAN Zhi-jun1, WANG Min1, CAI Qiang1   

  1. 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101;
    2. Institute of Geophysics, CSB, Beijing 100081, China
  • Received:2002-04-01 Revised:2002-06-24 Online:2003-04-30 Published:2021-12-21

Abstract: The aim of the Blade algorithm is to search the seismic fault based on the distribu-tion of earthquakes. It can find stripe pattern from sparse epicenter distribution. But the com-plete ignorance of the most important attribute of earthquakes, and the seismic moment is itsobvious shortcoming. This paper improves the Blade algorithm step by step and develops theMs-weighted 4 index Blade algorithm. The main improvements of the Ms- weighted 4-indexBlade algorithm include:(1) The Ms-weighted function is introduced for showing thatstronger earthquakes have more effects on index. We compare the effects of three Ms- weight-ed functions through simulation and application.(2) The blades selected out by the Blade algo-rithm must have an earthquake as the center. This is disadvantage of accurate location of theblade results. The 4-index evaluation is instead of the 2-substituting index in the Blade algo-rithm so that the selected -out blades can be amended for more accurate position by the evalua-tion index and the evaluation is more efficient. The Blade algorit hm and the improved algo-rithms are applied to find the seismic belts based on the earthquakes(Ms>4. 0) in the NorthChina. The comparison of the results shows that the M s-weighted 4. -index Blade algorithm hasmore not able improvement than the Blade algorithm and obtains the satisfactory result.

Key words: Blade algorithm, Ms- weighted 4- index Blade algorithm, Seismic belt, NorthChina region

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