Recovery of Bathymetry over Philippine Sea by Combination of Multi-source Gravity Data
According to the "theoretical admittance" and the "observation admittance" of the actual data,the theoretical value of effective elastic thickness in the study area was 10 km. Combining the gravity anomaliesand vertical gravity gradient anomalies,the admittance function is used t...
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doaj-f687a31797da42f3a7cbb570cce786942020-11-25T00:40:22ZzhoSurveying and Mapping PressActa Geodaetica et Cartographica Sinica1001-15951001-15952018-10-0147101307131510.11947/j.AGCS.2018.201704232018100423Recovery of Bathymetry over Philippine Sea by Combination of Multi-source Gravity DataFAN Diao0LI Shanshan1MENG Shuyu2XING Zhibin3FENG Jinkai4ZHANG Chi5Information Engineering University, Zhengzhou 450001, China;Information Engineering University, Zhengzhou 450001, China;Xi'an Aerors Data Technology Co., Ltd., Xi'an 710054, ChinaInformation Engineering University, Zhengzhou 450001, China;Information Engineering University, Zhengzhou 450001, China;Information Engineering University, Zhengzhou 450001, China;According to the "theoretical admittance" and the "observation admittance" of the actual data,the theoretical value of effective elastic thickness in the study area was 10 km. Combining the gravity anomaliesand vertical gravity gradient anomalies,the admittance function is used to construct the 1'×1' bathymetry model over the Philippine Sea by using the adaptive weighting technique.It is found that the accuracy of the bathymetry model constructed is the highest when the ratio of inversion result of vertical gravity gradient anomalies and inversion result of gravity anomalies is 2:3.At the same time,using multi-source gravity data to predict bathymetry could synthesize the superiority of gravity anomalies and vertical gravity gradient anomalies on the different seafloor topography,and the accuracy is better than bathymetry model that only used gravity anomalies or vertical gravity gradient anomalies.Taking the ship test data as the checking condition,the accuracy of predicting model is slightly lower than that of V18.1 model and improved by 27.17% and 39.02% respectively, compared with the ETOPO1 model and the DTU10 model.Checkpoints which the absolute value of the relative error of the predicting model are in the range of 5% accounted for 94.25% of the total.http://html.rhhz.net/CHXB/html/2018-10-1307.htmbathymetryadmittance functioncrustal equilibriumeffective elastic thicknesspower spectral density |
collection |
DOAJ |
language |
zho |
format |
Article |
sources |
DOAJ |
author |
FAN Diao LI Shanshan MENG Shuyu XING Zhibin FENG Jinkai ZHANG Chi |
spellingShingle |
FAN Diao LI Shanshan MENG Shuyu XING Zhibin FENG Jinkai ZHANG Chi Recovery of Bathymetry over Philippine Sea by Combination of Multi-source Gravity Data Acta Geodaetica et Cartographica Sinica bathymetry admittance function crustal equilibrium effective elastic thickness power spectral density |
author_facet |
FAN Diao LI Shanshan MENG Shuyu XING Zhibin FENG Jinkai ZHANG Chi |
author_sort |
FAN Diao |
title |
Recovery of Bathymetry over Philippine Sea by Combination of Multi-source Gravity Data |
title_short |
Recovery of Bathymetry over Philippine Sea by Combination of Multi-source Gravity Data |
title_full |
Recovery of Bathymetry over Philippine Sea by Combination of Multi-source Gravity Data |
title_fullStr |
Recovery of Bathymetry over Philippine Sea by Combination of Multi-source Gravity Data |
title_full_unstemmed |
Recovery of Bathymetry over Philippine Sea by Combination of Multi-source Gravity Data |
title_sort |
recovery of bathymetry over philippine sea by combination of multi-source gravity data |
publisher |
Surveying and Mapping Press |
series |
Acta Geodaetica et Cartographica Sinica |
issn |
1001-1595 1001-1595 |
publishDate |
2018-10-01 |
description |
According to the "theoretical admittance" and the "observation admittance" of the actual data,the theoretical value of effective elastic thickness in the study area was 10 km. Combining the gravity anomaliesand vertical gravity gradient anomalies,the admittance function is used to construct the 1'×1' bathymetry model over the Philippine Sea by using the adaptive weighting technique.It is found that the accuracy of the bathymetry model constructed is the highest when the ratio of inversion result of vertical gravity gradient anomalies and inversion result of gravity anomalies is 2:3.At the same time,using multi-source gravity data to predict bathymetry could synthesize the superiority of gravity anomalies and vertical gravity gradient anomalies on the different seafloor topography,and the accuracy is better than bathymetry model that only used gravity anomalies or vertical gravity gradient anomalies.Taking the ship test data as the checking condition,the accuracy of predicting model is slightly lower than that of V18.1 model and improved by 27.17% and 39.02% respectively, compared with the ETOPO1 model and the DTU10 model.Checkpoints which the absolute value of the relative error of the predicting model are in the range of 5% accounted for 94.25% of the total. |
topic |
bathymetry admittance function crustal equilibrium effective elastic thickness power spectral density |
url |
http://html.rhhz.net/CHXB/html/2018-10-1307.htm |
work_keys_str_mv |
AT fandiao recoveryofbathymetryoverphilippineseabycombinationofmultisourcegravitydata AT lishanshan recoveryofbathymetryoverphilippineseabycombinationofmultisourcegravitydata AT mengshuyu recoveryofbathymetryoverphilippineseabycombinationofmultisourcegravitydata AT xingzhibin recoveryofbathymetryoverphilippineseabycombinationofmultisourcegravitydata AT fengjinkai recoveryofbathymetryoverphilippineseabycombinationofmultisourcegravitydata AT zhangchi recoveryofbathymetryoverphilippineseabycombinationofmultisourcegravitydata |
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