Uncertainty analysis of gravity data inversion  

作　　者：SHI Jianan MA Guoqing 

机构地区：[1]College of Geo-Exploration Science and Technology,Jilin University

出　　处：《Global Geology》2018年第1期48-54,共7页世界地质（英文版）

基　　金：Supported by projects of the National Key Research and Development Plan(Nos.2017YFC0602203,2017YFC0601606);the National Science and Technology Major Project Task(No.2016ZX05027-002-03);National Natural Science Foundation of China(Nos.41604098,41404089,41430322)

摘　　要：The traditional gravity modelling methods fail to deal with ambiguity zones. These zones are likely to be associated with uncertain boundaries. Source boundaries can be divided into "hard "and "soft "types."Hard"boundary stands for distinguished margin of discontinuity of source distributions. Traditional modelling method is based on this type of boundary. Uncertain boundaries of ambiguity zones belong to "soft"boundary.The authors put forward the uncertainty analysis because lots of uncertainty factors need to be taken into consideration. Any powerful system designed to interpret gravity data for a real source distribution must be able to deal with uncertain information. Uncertainty analysis( UA) is a useful tool to estimate the ambiguity of the data interpretation. It is often applied in conjunction with a specific modelling or inversion method. In this study,we use an iterative inversion and its results are evaluated using uncertainty analysis and proved to be effective.The traditional gravity modelling methods fail to deal with ambiguity zones. These zones are likely to be associated with uncertain boundaries. Source boundaries can be divided into "hard "and "soft "types."Hard"boundary stands for distinguished margin of discontinuity of source distributions. Traditional modelling method is based on this type of boundary. Uncertain boundaries of ambiguity zones belong to "soft"boundary.The authors put forward the uncertainty analysis because lots of uncertainty factors need to be taken into consideration. Any powerful system designed to interpret gravity data for a real source distribution must be able to deal with uncertain information. Uncertainty analysis( UA) is a useful tool to estimate the ambiguity of the data interpretation. It is often applied in conjunction with a specific modelling or inversion method. In this study,we use an iterative inversion and its results are evaluated using uncertainty analysis and proved to be effective.

关 键 词：AMBIGUITY ZONES NON-UNIQUENESS error BARS ITERATION INVERSION data fitting 

分 类 号：P[天文地球]