| 联合多源重力数据反演菲律宾海域海底地形 |
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| 引用本文： | 范雕,李姗姗,孟书宇,邢志斌,冯进凯,张驰.联合多源重力数据反演菲律宾海域海底地形[J].测绘学报,2018,47(10):1307-1315. |
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| 作者姓名： | 范雕 李姗姗 孟书宇 邢志斌 冯进凯 张驰 |
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| 作者单位： | 1. 信息工程大学, 河南 郑州 450001;2. 西安航天天绘数据技术有限公司, 陕西 西安 710054 |
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| 基金项目： | 国家自然科学基金（41774021；41274029；41404020；41774018；41674082；41504018）；地理信息工程国家重点实验室开放基金（SKLGIE2016-M-3-2）；信息工程大学校立课题（2017503902；2016601002） |
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| 摘 要： | 对比分析重力-海深的“理论导纳”和实际数据的“观测导纳”，获得研究海域有效弹性厚度理论值为10 km。联合重力异常和重力异常垂直梯度数据，应用自适应赋权技术，采用导纳函数方法构建菲律宾海域1'×1'海底地形模型。试验发现，当重力异常垂直梯度反演海深结果与重力异常反演海深结果的权比为2∶3时，所构建的海深模型检核精度最高。同时，联合多源重力数据反演海深能够综合重力异常和重力异常垂直梯度在对待不同海底地形上的反演优势，生成精度优于单独使用重力异常数据和重力异常垂直梯度数据反演的海底地形模型。以船测数据作为外部检核条件，反演模型检核精度略低于V18.1海深模型，而相较于ETOPO1海深模型和DTU10海深模型检核精度分别提高了27.17%和39.02%左右；反演模型相对误差的绝对值在5%范围内的检核点大约占检核点总数的94.25%。
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| 关 键 词： | 海底地形 导纳函数 地壳均衡 有效弹性厚度 功率谱密度 |
| 收稿时间： | 2017-07-20 |
| 修稿时间： | 2017-11-29 |
Recovery of Bathymetry over Philippine Sea by Combination of Multi-source Gravity Data |
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| 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[J].Acta Geodaetica et Cartographica Sinica,2018,47(10):1307-1315. |
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| Authors: | FAN Diao LI Shanshan MENG Shuyu XING Zhibin FENG Jinkai ZHANG Chi |
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| Institution: | 1. Information Engineering University, Zhengzhou 450001, China;2. Xi'an Aerors Data Technology Co., Ltd., Xi'an 710054, China |
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| Abstract: | 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. |
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