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作 者:毛文星 张志勇 周峰[1] 谢尚平 MAO Wenxing;ZHANG Zhiyong;ZHOU Feng;XIE Shangping(School of Geophysics and Measurement-control Technology,East China University of Technology,Nanchang 330013,China;State Key Laboratory of Nuclear Resources and Environment,East China University of Technology,Nanchang 330013,China)
机构地区:[1]东华理工大学地球物理与测控技术学院,江西南昌330013 [2]东华理工大学核资源与环境国家重点实验室,江西南昌330013
出 处:《东华理工大学学报(自然科学版)》2024年第6期575-583,共9页Journal of East China University of Technology(Natural Science)
基 金:国家自然科学基金项目(42164008);江西省自然科学基金项目(20232BAB213074);核资源与环境国家重点实验室联合创新基金项目(2022NRE-LH-08);江西省交通运输厅科技项目(2022H0025)。
摘 要:为提高岩溶地区高密度直流电阻率的探测效果,研发了一种基于非结构三角网格的自适应反演算法。该算法能够实现任意复杂地形下地电模型的模拟,同时构建一种基于模型灵敏度的反演网格自适应调整优化技术,实现了对异常体的精细刻画,提升了反演结果的可靠性。模型算例与实测数据的反演结果表明,自适应反演算法计算稳定、岩溶异常识别能力强,能更好地圈定异常,可为岩溶区高密度直流电阻率解释提供有力支持。To enhance the detection efficiency of high-density DC resistivity in karst areas,an adaptive inversion algorithm based on unstructured triangular grids has been developed.This algorithm is capable of simulating geoelectric models under any complex terrain.Additionally,an optimization technique for adaptive adjustment of inversion grids based on model sensitivity has been designed.This approach achieves fine characterization of anomalous bodies and improves the reliability of inversion results.The results of model examples and field data inversion demonstrate that the adaptive inversion algorithm is computationally stable and has strong capabilities in identifying karst anomalies,better delineating anomalies,and providing more advantageous support for the interpretation of high-density direct current resistivity in karst regions.
关 键 词:岩溶勘探 高密度电阻率法 自适应反演 广西 河池
分 类 号:P631.3[天文地球—地质矿产勘探]
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