摘要
高精度船载重力数据是海洋地球物理勘探、水下重力辅助导航的关键要素。不同部门、不同时期提供的近海船载重力数据成果相互之间的系统偏差不利于构建全国统一的船载重力测量基础数据集。针对相邻测区无交叉测线但主测线方向一致的数据分布情况,在相邻测区主测线交界区,比较测线方向的重力异常差值,确定两区域之间是否存在系统偏差。针对既无交叉测线也无重合区的相邻测区数据分布情况,提出了虚拟点方案,基于相邻测区的重力异常,内插或外推虚拟点的重力异常,通过两者的差值,判断相邻测区的数据是否存在系统偏差。进一步提出了虚拟测线方案,既可判断近海船载重力测量数据是否存在倾斜,也可统一构建无系统偏差的重力异常数据集。研究结果表明,中国近海9个测区中仅调整R2、R5、R6等3个测区的数据,R2测区要整体减少9.0531 mGal,R5测区相对R3测区要整体增加约14.9536 mGal,R6测区相对R3测区要整体减小8.8527 mGal。经优化处理后,全部测区数据相邻测区之间整体偏差优于0.5 mGal,标准差优于3.3 mGal。扣除相邻测区数据之间的系统偏差后所形成的数据集可为国产重力卫星、测高卫星的研究成果提供参考值,也可为国产海洋重力仪测量精度验证、格值标定提供参考。提议在相关的工程建设中可建立贯通中国管辖海域的2~3条海上标准测线,对其进行同船多仪器同时测量,获得参考值。后续开展海上重力调查项目时,调查船沿着标准测线进行测量,用来统一各航次的重力异常成果,尽可能避免不同期、不同船、不同部门的成果出现系统偏差。
Objectives:Accurate shipborne gravity measurements are essential for marine geophysical sur⁃veys and for enhancing underwater navigation capabilities.However,inconsistencies among nearshore shipborne gravity datasets,collected by various organizations at different times,hinder the development of a comprehensive national database of shipborne gravity measurements.Methods:We addressed the challenge of data distribution in scenarios where no intersecting lines exist but the primary survey directions are aligned.By comparing gravity anomaly differences along the primary survey direction at the interface of ad⁃jacent survey areas,we determined the presence of systematic deviations.For adjacent test areas lacking both intersecting lines and overlapping regions,we introduced a virtual point scheme.This scheme interpo⁃lates or extrapolates gravity anomalies for virtual points based on data from neighboring test areas,using the differences to assess systematic biases.Additionally,we proposed a virtual line scheme capable of de⁃tecting any tilt in the load force measurements of offshore vessels and of constructing a unified gravity ano-maly datasets free from systematic deviations.Results:Among the nine offshore survey areas in China,on⁃ly R2,R5,and R6 required adjustment.The R2 area data showed an overall decrease of 9.0531 mGal,while the R5 area data increased by approximately 14.9536 mGal and the R6 area data decreased by 8.8527 mGal,all relative to the R3 test area.Post-optimization,the overall deviation and standard deviation be⁃tween adjacent test areas across all regions were less than 0.5 mGal and 3.3 mGal,respectively.Conclu⁃sions:The datasets,after accounting for systematic deviations between adjacent measurement areas,offer valuable insights for the research outcomes of domestic gravity and altimetric satellites.They also serve as a reference for the accuracy verification and grid value calibration of domestic marine gravimeters.It is recom⁃mended that in future engineering projects,2-3 marine st
作者
柯宝贵
孙碧娇
徐凡凡
李泰航
胡瑾鑫
赵翠
KE Baogui;SUN Bijiao;XU Fanfan;LI Taihang;HU Jinxin;ZHAO Cui(Chinese Academy of Surveying and Mapping,Beijing 100036,China;National Precise Gravity Measurement Facility,Huazhong University of Science and Technology,Wuhan 430074,China;State Key Laboratory of Geo-Information Engineering,Xi'an 710054,China;Faculty of Geomatics,Lanzhou Jiaotong University,Lanzhou 730070,China;College of Applied Science and Technology,Beijing Union University,Beijing 102200,China)
出处
《武汉大学学报（信息科学版）》
EI
CAS
CSCD
北大核心
2024年第11期2071-2078,共8页
Geomatics and Information Science of Wuhan University
基金
中央级公益性科研院所基本科研业务费(AR2404)
北京联合大学科研项目(ZK20202204)
国家自然科学基金重点项目(41930535)
地理信息工程国家重点实验室项目(SKLGIE2024-ZZ-7)。
关键词
虚拟测线
船载重力测量
系统偏差
海洋重力数据
重力辅助导航
virtual survey line
shipborne gravity measurement
systematic deviation
shipborne gravity data
gravity aided navigation
