引用本文: 聂建亮, 刘晓云, 田婕, 李秀明, 赵大江, 黄功文, 张海平. 利用自适应水准网动态平差建立山东垂直运动速度模型[J]. 武汉大学学报 ( 信息科学版), 2020, 45(4): 620-625.
NIE Jianliang, LIU Xiaoyun, TIAN Jie, LI Xiuming, ZHAO Dajiang, HUANG Gongwen, ZHANG Haiping. Vertical Movement in Shandong Province Based on Adaptively Dynamic Adjustment for Level Network[J]. Geomatics and Information Science of Wuhan University, 2020, 45(4): 620-625.
 Citation: NIE Jianliang, LIU Xiaoyun, TIAN Jie, LI Xiuming, ZHAO Dajiang, HUANG Gongwen, ZHANG Haiping. Vertical Movement in Shandong Province Based on Adaptively Dynamic Adjustment for Level Network[J]. Geomatics and Information Science of Wuhan University, 2020, 45(4): 620-625.

## Vertical Movement in Shandong Province Based on Adaptively Dynamic Adjustment for Level Network

• 摘要: 大地测量技术是地面沉降灾害监测的重要手段，其中水准测量是地壳垂直运动速度的经典观测手段。针对多期水准网测量数据中的异常误差，提出一种多期水准网自适应动态平差方法。改进等价权函数，进一步抑制观测数据中的异常误差影响；采用最小二乘配置方法，建立区域垂直运动速度模型。以山东境内及周边二等水准网数据为例进行验证，验证结果表明，该方法有效削弱了水准观测数据中异常误差影响，提高了二等水准网动态平差精度；并通过获取的山东省最近十年高精度垂直运动速度，得出了山东区域北部、西部整体上呈下降运动趋势，东部、东南整体上呈缓慢上升趋势的结论。

Abstract: The geodesy as an important technique is applied to monitor the land subsidence, and leveling is the classical observation means of the vertical movement. An algorithm to adaptively process the data of multi-periods is introduced when there are the outliers in level data. The equivalent weight is constructed with two segments functions, the influence of outliers will be weakened. Collocation is applied to model the vertical movement. The data set of second order level network in Shandong province is employed to test the new algorithm. The results show that the modified robust estimation can control the influence of outliers, and improve the accuracy of dynamic adjustment for level network. The accurate trend of crustal vertical movement for recent 10 years can been obtained, the downward trend exists in the northern and western of Shandong province, but a slight upward trend in the eastern and southeast of Shandong province occurred.

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