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首页> 外文期刊>Earthquake Science >Gravity change observed in a local gravity network and its implication to seasonal precipitation in Dali county, Yunnan province, China
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Gravity change observed in a local gravity network and its implication to seasonal precipitation in Dali county, Yunnan province, China

机译:云南省大理县当地重力网络观测到的重力变化及其对季节降水的影响

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Abstract This study investigates data-processing methods and examines the precipitation effect on gravity measurements at the Dali gravity network, established in 2005. High-quality gravity data were collected during four measurement campaigns. To use the gravity data validly, some geophysical corrections must be considered carefully. We first discuss data-processing methods using weighted least-squares adjustment with the constraint of the absolute gravity datum. Results indicate that the gravity precision can be improved if all absolute gravity data are used as constraints and if calibration functions of relative gravimeters are modeled within the observation function. Using this data-processing scheme, the mean point gravity precision is better than 12?μgal. After determining the best data-processing scheme, we then process the gravity data obtained in the four measurement campaigns, and obtain gravity changes in three time periods. Results show that the gravity has a remarkable change of more than 50?μgal in the first time period from Apr–May of 2005 to Aug–Sept of 2007. To interpret the large gravity change, a mean water mass change (0.6?m in height) is assumed in the ETOPO1 topographic model. Calculations of the precipitation effect on gravity show that it can reach the same order of the observed gravity change. It is regarded as a main source of the remarkable gravity change in the Dali gravity network, suggesting that the precipitation effect on gravity measurements must be considered carefully.
机译:摘要本研究调查了数据处理方法,并考察了降水对2005年建立的大理重力网络的重力影响。在四个测量活动中收集了高质量的重力数据。为了有效地使用重力数据,必须仔细考虑一些地球物理校正。我们首先讨论在绝对重力数据约束下使用加权最小二乘平差的数据处理方法。结果表明,如果将所有绝对重力数据都用作约束条件,并且在观察函数中对相对重力计的校准函数进行建模,则可以提高重力精度。使用这种数据处理方案,平均点重力精度优于12μgal。在确定最佳的数据处理方案之后,我们将处理在四个测量活动中获得的重力数据,并获得三个时间段内的重力变化。结果表明,从2005年4月至5月的第一时间段到2007年8月至2007年9月的第一时间段,重力有显着的变化,超过50μgal。 ETOPO1地形模型中假定高度)。对降水对重力的影响的计算表明,它可以达到观测到的重力变化的相同顺序。它被认为是大理重力网络显着重力变化的主要来源,这表明必须仔细考虑降水对重力测量的影响。

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