Construction and Demonstration of a Seaplane-Type UAV-Based High-Precision GNSS-A Seafloor Crustal Deformation Observation System

IF 2.6 3区 地球科学 Q2 ASTRONOMY & ASTROPHYSICS
Y. Yoshizumi, Y. Yokota, M. Kaneda, S. Yamaura, Y. Kameta, T. Inoue, K. Kouno
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Abstract

The Global Navigation Satellite System—Acoustic combination (GNSS-A) is used to observe seafloor crustal deformation by determining the global position of the seafloor with GNSS positioning and acoustic ranging between a sea surface platform and a transponder station located on the seafloor. However, GNSS-A observations are currently conducted mainly by vessels, and economic and physical constraints limit the ability to improve the frequency and real-time nature of observations. Therefore, unmanned arial vehicle (UAV) -based GNSS-A observation has been proposed. In this study, we constructed a GNSS-A system based on a seaplane-type UAV capable of centimeter-level measurements and evaluated its seafloor positioning performance. An experiment in a tank showed that the system has an acoustic ranging accuracy of less than 2.1 cm, and allowed us to evaluate the previously unreported fractional wavelength instrumental biases. UAV-based GNSS-A tests were conducted using the constructed system at an actual GNSS-A site. Under optimal sea conditions devoid of significant waves or wind, the observation result suggested that seafloor positioning could be achieved with a horizontal RMS of approximately 1–2 cm—comparable to that of vessel-based systems. Thus, we established the foundations for practical UAV observation technology for the operation of high-frequency observations and emergency observations for detecting postseismic deformation. It has also become possible to verify instrument bias in a vessel-based system.

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基于水上飞机型无人机的高精度GNSS-A海底地壳形变观测系统的构建与验证
全球导航卫星系统-声学组合(GNSS- a)是利用海面平台和位于海底的应答站之间的GNSS定位和声学测距来确定海底的全球位置,从而观测海底地壳变形。然而,GNSS-A观测目前主要由船只进行,经济和物理限制限制了提高观测频率和实时性的能力。因此,提出了基于无人机的GNSS-A观测方法。在本研究中,我们构建了一个基于厘米级测量的海上飞机型无人机的GNSS-A系统,并对其海底定位性能进行了评估。在水箱中的实验表明,该系统的声学测距精度小于2.1厘米,并允许我们评估以前未报道的分数波长仪器偏差。基于无人机的GNSS-A测试是在实际GNSS-A站点使用构建的系统进行的。在无明显波浪或大风的最佳海况下,观测结果表明,海底定位的水平均方根值约为1-2 cm,与船基系统相当。为开展高频观测和震后形变应急观测奠定了无人机观测技术实用化的基础。在基于船舶的系统中验证仪器偏差也成为可能。
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来源期刊
Earth and Space Science
Earth and Space Science Earth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
5.50
自引率
3.20%
发文量
285
审稿时长
19 weeks
期刊介绍: Marking AGU’s second new open access journal in the last 12 months, Earth and Space Science is the only journal that reflects the expansive range of science represented by AGU’s 62,000 members, including all of the Earth, planetary, and space sciences, and related fields in environmental science, geoengineering, space engineering, and biogeochemistry.
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