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Weak Tsunami Detection Using GNSS-R-Based Sea Surface Height Measurement

机译:使用基于GNSS-R的海平面高度测量进行的海啸弱检测

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This paper investigates weak tsunami detection using noisy sea surface height (SSH) measurement data such as that recorded by a satellite-borne receiver and produced by the Global Navigation Satellite System (GNSS) reflectometry (GNSS-R) technique. By studying the patterns of many real tsunamis, a triangle function is proposed to model the shape of tsunami lead waves for theoretical studies. Very similar simulation results are produced when the modeled and real tsunami data are used separately, indicating good modeling accuracy. A bin averaging (BA) technique is proposed for detecting a tsunami, and a hypothesis testing method is developed to decide whether a tsunami is present by examining the BA outputs against a predefined threshold. Mathematical formulas are derived for the probability of detection (PD) and the probability of false alarm (PFA), which can be employed as a guideline in parameter selection and performance evaluation. Simulation results using both modeled and real tsunami data demonstrate that, given a PFA of 10%, the PD can be around 60% when the wave height is 45 cm, and the SSH measurement error standard deviation (STD) is 76 cm. The results also show that, when a suitable bin length is selected, a two-stage hypothesis testing scheme and a one stage one produce very similar results. Based on the methods developed here and elsewhere, the GNSS-R technique has the potential for future tsunami detection.
机译:本文研究了使用嘈杂的海面高度(SSH)测量数据(如由卫星接收器记录并由全球导航卫星系统(GNSS)反射法(GNSS-R)技术产生)的弱海啸检测。通过研究许多真实海啸的模式,提出了一个三角函数来模拟海啸导波的形状,以进行理论研究。当分别使用建模的海啸数据和真实的海啸数据时,会产生非常相似的仿真结果,表明具有良好的建模精度。提出了一种用于检测海啸的bin平均(BA)技术,并开发了一种假设测试方法来通过对照预定阈值检查BA输出来确定是否存在海啸。推导了检测概率(PD)和虚警概率(PFA)的数学公式,它们可以用作参数选择和性能评估的指南。使用建模海啸数据和真实海啸数据的仿真结果均表明,在PFA为10%的情况下,当波高为45 cm时,PD可能约为60%,而SSH测量误差标准偏差(STD)为76 cm。结果还表明,当选择合适的箱长时,两阶段假设测试方案和一阶段假设测试方案会产生非常相似的结果。基于此处和其他地方开发的方法,GNSS-R技术具有未来海啸检测的潜力。

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