A black hole particle swarm optimization method for the source parameters inversion: application to the 2015 Calbuco eruption, Chile

IF 2.1 3区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Journal of Geodynamics Pub Date : 2021-07-01 DOI:10.1016/j.jog.2021.101849
Leyang Wang , Xibo Jin , Wenbin Xu , Guangyu Xu
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引用次数: 3

Abstract

The traditional genetic algorithm and simulated annealing methods have been widely used in geophysical modeling. However, these nonlinear inversion methods require a lot of calculations, many control parameters and are unstable. In this paper, a particle swarm optimization algorithm combined with black hole strategy (BH-PSO) is proposed to solve these problems. The comprehensive experiments show that the BH-PSO method consumes less time than the simulated annealing (SA) method and has a higher accuracy than the genetic algorithm (GA). It is more applicable to the inversion of parameters of volcanic magma chamber, and easier to be generalized to other kinematic source parameters inversion. Based on BH-PSO method, Sentinel-1 data, composite dislocation model (CDM), Yang model and Mogi model, the magma chamber parameters of Calbuco eruption in 2015 were retrieved. The results show that the RMSE of CDM model is 1.1 cm, which can better fit the surface deformation than the Mogi model and Yang model. The final results show that the magma chamber is located about 0.8 km northeast of the crater, about 9 km below the surface, and the total volume of the erupted volcanic material obtained with the CDM Model is of 0.209 km3, without considering dense rock equivalent.

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源参数反演的黑洞粒子群优化方法:在2015年智利Calbuco火山喷发中的应用
传统的遗传算法和模拟退火方法在地球物理模拟中得到了广泛的应用。然而,这些非线性反演方法计算量大,控制参数多,且不稳定。本文提出了一种结合黑洞策略的粒子群优化算法(BH-PSO)来解决这些问题。综合实验表明,BH-PSO方法比模拟退火(SA)方法耗时更少,比遗传算法(GA)具有更高的精度。该方法更适用于火山岩浆房参数的反演,也更容易推广到其他运动源参数的反演中。基于BH-PSO方法、Sentinel-1数据、复合位错模型(CDM)、Yang模型和Mogi模型,反演了2015年Calbuco火山喷发的岩浆室参数。结果表明,CDM模型的RMSE为1.1 cm,比Mogi模型和Yang模型更能拟合地表变形;最终结果表明,岩浆库位于火山口东北方向约0.8 km处,地表以下约9 km处,在不考虑致密岩石当量的情况下,CDM模型得到的喷发火山物质的总体积为0.209 km3。
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来源期刊
Journal of Geodynamics
Journal of Geodynamics 地学-地球化学与地球物理
CiteScore
4.60
自引率
0.00%
发文量
21
审稿时长
6-12 weeks
期刊介绍: The Journal of Geodynamics is an international and interdisciplinary forum for the publication of results and discussions of solid earth research in geodetic, geophysical, geological and geochemical geodynamics, with special emphasis on the large scale processes involved.
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