密集Gps阵列作为一种新的地表载荷季节变化传感器

K. Heki
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引用次数: 33

摘要

全球定位系统(GPS)接收器已在世界范围内部署,用于研究与地震和火山活动有关的板间和板内地壳运动和局部变形。密集的GPS阵列也有助于通过地壳运动中的周期性分量来研究季节性变化的载荷。本文综述了日本列岛的季节性地壳运动观测和预测,日本列岛拥有全国范围内密集的GPS阵列和气象传感器网络。综合分析影响季节信号的各种因素,发现日本最大的因素是雪,在一些地区每平方米的重量超过1000公斤。其次是陆地上的各种负荷,如大气、土壤湿度和水库蓄水,以及非潮汐海洋负荷也会产生一定的季节性特征。季节性地壳变形是通过综合所有这些季节性载荷变化来计算的,其中一些是直接测量的气象变化,另一些是通过模型推断的。将它们与日本密集GPS阵列观测到的真实数据进行了比较,并对它们的一致性进行了检验。GPS观测到的季节信号也包括人为因素,如大气延迟梯度和大气折射引起的尺度变化。我们经常讨论细微的地壳变形信号,例如那些与无声地震有关的信号,通过去除长期和周期性分量来隔离它们。了解季节信号及其年际变化对于消除这些不需要的信号至关重要。本文讨论的是日本的情况,但这里提出的方法对研究季节性质量再分布将是有用的。密集GPS阵列可以作为卫星重力任务的补充,在区域尺度上研究地球上的季节性质量再分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dense Gps Array as a New Sensor of Seasonal Changes of Surface Loads
Global Positioning System (GPS) receivers have been deployed worldwide to study inter- and intraplate crustal motions and local deformations associated with earthquakes and volcanic activities. A dense array of GPS is also useful for studying seasonally changing load through periodic components in crustal movements. This article reviews observed and predicted seasonal crustal movements in the Japanese Islands, where both nationwide dense GPS array and meteorological sensor network are available. From comprehensive evaluation of various sources contributing to seasonal signals, the largest factor in Japan is found to be snow, weighing over 1000 kg per square meter in some regions. This is followed by various kinds of loads on the land area, such as atmosphere, soil moisture and water impoundment in reservoirs, and non-tidal ocean loads also cause certain seasonal signatures. Seasonal crustal deformations are calculated by synthesizing all these seasonal load changes, some of which are directly measured meteorologically and others are inferred through models. They are compared with real data observed by the dense GPS array in Japan, and their agreement was examined. The seasonal signals observed by GPS also include artifacts, such as those caused by atmospheric delay gradients and scale changes due to atmospheric refraction. We often discuss subtle crustal deformation signals, e.g. those associated with silent earthquakes, isolating them by removing secular and periodic components. Understanding seasonal signals and their interannual variability is crucial in removing these unwanted signals. The article discusses the Japanese case, but the methods proposed here will be useful worldwide to study seasonal mass redistributions. Dense GPS arrays may play a complementary role to satellite gravity missions in studying seasonal mass redistribution on the Earth in a regional scale.
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