祁连山断裂滑动速率的混沌遗传算法反演
发布时间：2019-04-27 21:16
【摘要】：利用大地测量观测数据反演断层活动是研究地壳形变，探讨地震机理，解释地学事件最基本最重要的方法。本文将GPS观测数据与位错模型相结合，通过混沌遗传算法对青藏高原东北缘祁连山断裂滑动速率进行反演。主要工作与结论如下： 1.探讨反演的数学原理及断层活动模型，并给出断层活动模型数学解析表达式。 2.分析遗传算法的优缺点，，引入混沌优化理论，将其与遗传算法智能集成形成混沌遗传算法。函数测试结果说明该算法收敛速度及精度均优于基本遗传算法。 3.利用2001~2004年GPS观测数据，采用混沌遗传算法反演了祁连山断裂现今滑动速率。结果表明：祁连山断裂除具有明显的地壳缩短现象以外，尚有十分显著的左旋走滑运动且其运动幅度在空间分布上极不均匀，自西向东为1.7~2mm/yr，0.4~1mm/yr和3.8~5mm/yr。 4.将祁连山断裂滑动速率反演结果与GPS剖面断层滑动速率对比分析，结果基本一致，说明混沌遗传算法反演断层滑动速率是可行且有效的。 5.基于祁连山断裂滑动速率反演结果模拟祁连山附近区域水平运动速度场，模拟值与GPS实测值有较好的对应关系。差异主要体现在GPS实测值反映的是区域断裂共同作用的结果，而模拟值仅是由祁连山单一断裂滑动引起的地壳变形。
[Abstract]:Inversion of fault activity from geodetic observation data is the most basic and important method for studying crustal deformation, exploring seismic mechanism and interpreting geoscience events. In this paper, GPS observation data and dislocation model are combined to retrieve the slip rate of Qilian Mountains fault in the northeast margin of Qinghai-Xizang Plateau by using chaotic genetic algorithm. The main work and conclusions are as follows: 1. The mathematical principle of inversion and fault activity model are discussed, and the mathematical analytical expression of fault activity model is given. 2. This paper analyzes the advantages and disadvantages of genetic algorithm, introduces chaos optimization theory, and integrates it with genetic algorithm intelligently to form chaos genetic algorithm. The result of function test shows that the convergence speed and precision of this algorithm are better than that of basic genetic algorithm. 3. Based on the GPS observation data from 2001 to 2004, the present sliding rate of Qilian fault is retrieved by using chaotic genetic algorithm. The results show that in addition to the obvious crustal shortening phenomenon, the Qilianshan fault has a very significant left-lateral strike-slip movement and its spatial distribution is extremely uneven, from west to east, which is 1.7 ~ 2 mm ~ (- 1) 路yr ~ (- 1). 0.4~1mm/yr and 3.8 and 5 mm. 4. The inversion results of Qilianshan fault slip rate are compared with those of GPS section, and the results are basically consistent, which shows that chaotic genetic algorithm is feasible and effective for inversion of fault slip rate. 5. Based on the inversion results of the slip velocity of Qilian Mountain fault, the velocity field of horizontal motion near Qilian Mountain is simulated, and the simulated value corresponds well with the measured value of GPS. The difference is mainly reflected in the fact that the measured values of GPS reflect the co-action of regional faults, while the simulated values are only the crustal deformation caused by the slip of a single fault in Qilian Mountains.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：P227;P228.4
本文编号：2467316
[Abstract]:Inversion of fault activity from geodetic observation data is the most basic and important method for studying crustal deformation, exploring seismic mechanism and interpreting geoscience events. In this paper, GPS observation data and dislocation model are combined to retrieve the slip rate of Qilian Mountains fault in the northeast margin of Qinghai-Xizang Plateau by using chaotic genetic algorithm. The main work and conclusions are as follows: 1. The mathematical principle of inversion and fault activity model are discussed, and the mathematical analytical expression of fault activity model is given. 2. This paper analyzes the advantages and disadvantages of genetic algorithm, introduces chaos optimization theory, and integrates it with genetic algorithm intelligently to form chaos genetic algorithm. The result of function test shows that the convergence speed and precision of this algorithm are better than that of basic genetic algorithm. 3. Based on the GPS observation data from 2001 to 2004, the present sliding rate of Qilian fault is retrieved by using chaotic genetic algorithm. The results show that in addition to the obvious crustal shortening phenomenon, the Qilianshan fault has a very significant left-lateral strike-slip movement and its spatial distribution is extremely uneven, from west to east, which is 1.7 ~ 2 mm ~ (- 1) 路yr ~ (- 1). 0.4~1mm/yr and 3.8 and 5 mm. 4. The inversion results of Qilianshan fault slip rate are compared with those of GPS section, and the results are basically consistent, which shows that chaotic genetic algorithm is feasible and effective for inversion of fault slip rate. 5. Based on the inversion results of the slip velocity of Qilian Mountain fault, the velocity field of horizontal motion near Qilian Mountain is simulated, and the simulated value corresponds well with the measured value of GPS. The difference is mainly reflected in the fact that the measured values of GPS reflect the co-action of regional faults, while the simulated values are only the crustal deformation caused by the slip of a single fault in Qilian Mountains.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：P227;P228.4
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