Moho topographic inversion of the South China Sea based on genetic algorithm

IF 2.7 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Journal of Asian Earth Sciences Pub Date : 2024-11-03 DOI:10.1016/j.jseaes.2024.106396
Hangtao Yu , Chuang Xu , Hui Zhang , Pengbo Qin , Jun Wang
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Abstract

The Parker-Oldenburg method is a commonly used classical interface inversion method for Moho topographic inversion. However, this method is excessively reliant on two hyperparameters − the Moho density contrast and the average Moho depth. Due to the failure to take into account the effect of non-linear terms and computational inefficiencies, this previous method leads to a significant bias in the hyperparameters estimation, which renders it impossible to invert the finer Moho topography. To address this issue, we propose a new method that utilizes the genetic algorithm to estimate more accurate hyperparameters. Synthetic test results illustrate that the differences of the estimated Moho density contrast and average Moho depth from our method and the true values are only 0.044 g/cm3 and 0.729 km, respectively. Compared with the improved Bott’s method, the errors were reduced by 12.28 % and 2.23 %, respectively. To further illustrate the effectiveness of our method, we apply this method to the Southwestern Sub-basin of the South China Sea, where the Moho density contrast and average Moho depth are determined to be 0.61 g/cm3 and 19.18 km, respectively by imposing seismic data constraints. The Moho topography is then inverted based on these determinations, revealing that the Moho topography ranges from 6.3 km to 24.9 km in the study area and exhibits pronounced undulations. Compared to other Moho topography models, our Moho topography is more accurate.

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基于遗传算法的南海莫霍地形反演
帕克-奥尔登堡法是一种常用的莫霍地形反演经典界面反演方法。然而,这种方法过分依赖两个超参数--莫霍密度对比和平均莫霍深度。由于没有考虑到非线性项的影响和计算效率低下的问题,这种先前的方法会导致超参数估计出现明显偏差,从而无法反演更精细的莫霍地形。为了解决这个问题,我们提出了一种新方法,利用遗传算法来估算更精确的超参数。合成测试结果表明,我们的方法估算出的莫霍密度对比度和平均莫霍深度与真实值的差异分别仅为 0.044 g/cm3 和 0.729 km。与改进的 Bott 方法相比,误差分别减少了 12.28 % 和 2.23 %。为了进一步说明我们方法的有效性,我们将该方法应用于南海西南分盆地,通过地震数据约束,确定莫霍密度对比和平均莫霍深度分别为 0.61 g/cm3 和 19.18 km。在此基础上反演莫霍地形,发现研究区域内的莫霍地形从 6.3 千米到 24.9 千米不等,并呈现明显的起伏。与其他莫霍地形模型相比,我们的莫霍地形模型更为精确。
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来源期刊
Journal of Asian Earth Sciences
Journal of Asian Earth Sciences 地学-地球科学综合
CiteScore
5.90
自引率
10.00%
发文量
324
审稿时长
71 days
期刊介绍: Journal of Asian Earth Sciences has an open access mirror journal Journal of Asian Earth Sciences: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review. The Journal of Asian Earth Sciences is an international interdisciplinary journal devoted to all aspects of research related to the solid Earth Sciences of Asia. The Journal publishes high quality, peer-reviewed scientific papers on the regional geology, tectonics, geochemistry and geophysics of Asia. It will be devoted primarily to research papers but short communications relating to new developments of broad interest, reviews and book reviews will also be included. Papers must have international appeal and should present work of more than local significance. The scope includes deep processes of the Asian continent and its adjacent oceans; seismology and earthquakes; orogeny, magmatism, metamorphism and volcanism; growth, deformation and destruction of the Asian crust; crust-mantle interaction; evolution of life (early life, biostratigraphy, biogeography and mass-extinction); fluids, fluxes and reservoirs of mineral and energy resources; surface processes (weathering, erosion, transport and deposition of sediments) and resulting geomorphology; and the response of the Earth to global climate change as viewed within the Asian continent and surrounding oceans.
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