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川滇地区陆地流动重力测网场源分辨能力评估
引用本文:徐伟民,陈石,阮明明,杨锦玲,韩建成,李红蕾,卢红艳.川滇地区陆地流动重力测网场源分辨能力评估[J].地震,2021,41(1):191-204.
作者姓名:徐伟民  陈石  阮明明  杨锦玲  韩建成  李红蕾  卢红艳
作者单位:中国地震局地球物理研究所,北京100081;北京白家疃国家地球科学野外观测研究站,北京100095;中国地震局地球物理勘探中心,河南郑州450002;中国地震局地球物理研究所,北京100081;福建省地震局,福建福州350003
基金项目:国家重点研发计划;中国地震科学试验场专项;国家自然科学基金
摘    要:陆地重力测量是研究地球内部物质运移和质量变化的重要手段, 场源分辨能力是评估流动重力测网监测效能和由场及源应用研究的关键指标。 本文以构造运动和地震活动活跃的川滇地区为例, 在设定场源异常体参数下, 通过Tesseroid网格模型建立不同分辨率的重力异常扰动模型检测板, 并基于川滇地区陆地流动重力测网测点分布, 对比反距离加权法、 Krigng插值法和最小二乘配置法对模型异常检测场的恢复效果。 在此基础上, 基于不同分辨率的模型检测板和模型抗噪分析结果, 研究川滇地区陆地流动重力测网的空间分辨率和场源反演分辨能力, 进而评估该地区重力测网的场源分辨能力, 并对该地区2014至2017年测网实测数据开展应用研究。 结果表明, 最小二乘配置法对川滇地区重力场恢复效果最佳, 川滇地区陆地流动重力测网大部分地区的空间分辨率优于0.75°×0.75°, 部分地区可达0.25°×0.25°; 在Ⅰ级活动地块边界带为0.50°×0.50°, 在Ⅱ级活动地块边界带优于0.75°×0.75°; 进一步根据活动地块边界和重力测点分布, 对川滇地区分区开展陆地流动测网场源分辨能力评估。

关 键 词:重力测网  场源分辨能力  Tesseroid网格模型  最小二乘配置法  川滇地区
收稿时间:2020-07-13
修稿时间:2020-09-01

Evaluation of Field Source Resolution of Terrestrial Mobile Gravity Network in Sichuan-Yunnan Region
XU Wei-min,CHEN Shi,RUAN Ming-ming,YANG Jin-ling,HAN Jian-cheng,LI Hong-lei,LU Hong-yan.Evaluation of Field Source Resolution of Terrestrial Mobile Gravity Network in Sichuan-Yunnan Region[J].Earthquake,2021,41(1):191-204.
Authors:XU Wei-min  CHEN Shi  RUAN Ming-ming  YANG Jin-ling  HAN Jian-cheng  LI Hong-lei  LU Hong-yan
Institution:1. Institute of Geophysic, CEA, Beijing 100081, China;
2. Beijing Baijiatuan Earth Science National Observation and Research Station, Beijing 100095, China;
3. Geophysical Exploration Center, CEA, Zhengzhou 450002, China;
4. Fujian Earthquake Agency, Fuzhou 350003, China
Abstract:Terrestrial gravity measurement is an important means of studying the interior material movement and mass changes in the crust, and the field source resolution is a key indicator to assess the monitoring efficiency of the mobile gravity network. In this paper, we studied the gravity network of Sichuan-Yunnan region, where the tectonic movement and seismicity is active. Based on the field source anomaly parameters and the distribution of measuring points of the network, we calculated the checkboard of gravity anomaly by Tesseroid model, and comparison of model anomalies recovered by Inverse-distance-weighting method, Kriging method and Least-square-collocation-method, respectively. On this basis, we evaluated the capacity of the field source resolution of the gravity network in Sichuan-Yunnan region, and obtained the gravity changes from 2014 to 2017 in the region. The results show that the Least-square-collocation-method is the optimal method to recover the gravity field in the Sichuan-Yunnan region. The spatial resolution of land-based mobile gravity network is better than 0.75°×0.75° in most of the Sichuan-Yunnan region, and in some area even to 0.25°×0.25°. The spatial resolution is 0.50°×0.50°in the first-order active block boundary zone, and that is better than 0.75°×0.75° in the second-order active block boundary zone. Lastly according to active block boundaries and gravity measurement points, we evaluated the capacity of the field source resolution of the land-based mobile gravity network in different zones in Sichuan-Yunnan region.
Keywords:Terrestrial mobile gravity network  The capacity of field source resolution  Tesseroid model  The Least-square-collocation-method  Sichuan-Yunnan region  
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