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Global Geology 2018, 21(1) 48-54 DOI:
10.3969/j.issn.1673-9736.2018.01.05 ISSN: 1673-9736 CN: 22-1371/P |
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Uncertainty analysis of gravity data inversion |
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SHI Jianan, MA Guoqing |
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College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China |
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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. |
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ambiguity zones
non-uniqueness
error bars
iteration inversion
data fitting
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Uncertainty analysis of gravity data inversion |
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|
SHI Jianan, MA Guoqing |
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|
College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China |
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Abstract:
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. |
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Keywords:
ambiguity zones
non-uniqueness
error bars
iteration inversion
data fitting
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�ո����� 2017-11-14 ������ 2017-12-18 ����淢������ |
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DOI: 10.3969/j.issn.1673-9736.2018.01.05 |
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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). |
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