摘要
重力垂直梯度异常反应了重力异常的空间变化率,在地球物理勘探等多学科中得到越来越多的应用。利用南海局部区域实测重力异常数据和Sandwell测高重力异常数据,将搜索范围、距离和精度多种因素融合考虑并对Shepard算法进行改进,给出了南海局部区域(19°N^20.5°N,114°E^115.5°E)分辨率1'×1'的重力异常并反演了对应分辨率的重力垂直梯度异常。结果表明,基于Shepard改进算法的高精度船测重力和测高重力的有机融合,增强了单一测高重力数据反演重力垂直梯度异常的细节纹理,提高了反演重力垂直梯度异常的分辨率和精度。
Vertical gravity gradient anomalies reflect the spatial variability of gravity anomalies, and have been applied more and more in many subjects,such as geophysical exploration.In this paper,the shipbome gravimetric anomaly and the altimetry gravity anomaly from Sandwell are used in the South China Sea, and the Shepard algorithm is improved by comprehensively considering the search area, distance and precision. The gravity anomalies of resolution 1’×1 ’ in the South China Sea region （1 9 .N -20.50N , 114. E - 115.5. E） are calculated, and the corresponding resolution of vertical gravity gradient anomalies is retrieved. The results show that the improved Shepard algorithm can better deal with data fusion of high-precision ship gravity and altimetry gravity,and details of the vertical gravity gradient anomalies are enhanced by comparing with single altimetiy gravity data,and the resolution and accuracy of the inversion of gravity vertical gradient anomalies are improved.
出处
《海洋测绘》
CSCD
2018年第1期1-4,17,共5页
Hydrographic Surveying and Charting
基金
国家自然科学基金(41374086
41574073)
国家测绘地理信息局测绘基础研究基金(14-01-07)
