微波水位测量误差的多传感器评定

J. Boon, R. Heitsenrether, W. Hensley
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引用次数: 11

摘要

作为国家水位观测网(NWLON)的一部分,设计分析水位H-3611微波雷达水位传感器最近在由国家海洋和大气管理局(NOAA)、国家海洋局(NOS)、海洋产品和服务中心(CO-OPS)运营的潮汐站投入使用。微波水位传感器结合了高精度和对空气温度和湿度变化的低灵敏度,但与其他水位传感器不同的是,它利用垂直向下瞄准水面的无约束雷达波束。使用微波雷达传感器进行短期洪水预警和长期海平面监测的许多潜在好处已经被整个海洋观测界的几个组织确定。雷达传感器最显著的优点是它们能够远程测量水位,而不需要部件直接与水柱接触。采用远程雷达传感器技术的水位测量站将避免许多典型的长期地下海洋传感器的问题,包括生物污染和腐蚀。遥感还大大减少了系统硬件组件和总体安装和维护需求。在过去几年中,CO-OPS进行了一系列实验室和现场测试,结果表明在某些特定应用中可以使用积水雷达装置。然而,众所周知,迄今为止,为了评估传感器的能力而收集和分析的大多数测试数据都集中在封闭的沿海地区,这些地区的获取量有限,并且是低波环境(平均有效波高名义上小于1米)。尽管这些测试结果与许多CO-OPS应用相关,包括大多数位于低波环境的NWLON站,在最初的测试阶段之后,不确定性仍然存在,这导致了对传感器在开阔海洋环境中性能的新展望,这些环境通常经历显著的海浪高度超过1米。在这些条件下的额外测试提出了更大的挑战,因为测试和参考NWLON传感器都可能在大波存在时遇到限制。需要分析工具,包括传感器输出信号的频谱分析和样本统计评估,以更好地了解这些限制的性质。为了解决传感器性能的剩余不确定性,最近在美国陆军工程兵团位于北卡罗来纳州Duck的野外研究设施(Duck FRF)的一个开放的海洋试验场进行了多传感器测试部署。由此产生的多传感器数据集使得传感器测量误差首次可以从一个集合平均序列的测量残差中估计出来。将基于集合的误差估计值与相应的Duck频响近岸波数据在选定测量周期内的平均值进行比较,结果表明,正如预期的那样,传感器误差随着显著波高的增加而增加。而对于中低波(Hmo≤1.5 m),得到的RMS残差相对较小;例如,在5-11秒波浪平均高度为1.14米的两天时间内,每次6分钟的水位测量约为±1.5厘米。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-sensor evaluation of microwave water level measurement error
A microwave radar water level sensor, the Design Analysis Waterlog H-3611 has recently entered service at tide stations operated by the National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Center for Operational Oceanographic Products and Services (CO-OPS) as part of the National Water Level Observation Network (NWLON). The microwave water level sensor combines high accuracy with low sensitivity to variations in air temperature and humidity but differs from other water level sensors in utilizing an unconfined radar beam aimed vertically downward to the water surface. Many potential benefits of using microwave radar sensors for short-term flood advisories and long-term sea level monitoring have been identified by several organizations throughout the ocean observing community. The most notable advantage of radar sensors is their ability to measure water level remotely with no parts directly in contact with the water column. Water level measurement stations that employ remote radar sensor technology will avoid many problems typical of long-term subsurface ocean sensors including biological fouling and corrosion. Remote sensing also results in a significant reduction in system hardware components and overall installation and maintenance requirements. Results from a series of laboratory and field tests conducted by CO-OPS over the last few years have led to operational use of Waterlog radar units in certain specific applications. It is acknowledged, however, that most test data collected and analyzed to date for the purpose of assessing the sensor's capabilities have focused on enclosed coastal regions with limited fetch and a low-wave environment (average significant wave height nominally less than 1 m). Although these test results are relevant to many CO-OPS applications of interest, including the majority of NWLON stations located in low-wave environments, uncertainty remained after the initial test phase and led to a new outlook toward sensor performance in open ocean environments that experience significant wave heights frequently in excess of 1 m. Additional testing under these conditions has presented a greater challenge as both the test and reference NWLON sensors are likely to encounter limitations in the presence of large waves. Analytical tools including spectral analysis of sensor output signals and an evaluation of sample statistics were needed to better understand the nature of these limitations. In order to address the remaining uncertainty in sensor performance capability, a multi-sensor test deployment was recently conducted at an open-ocean test site, the U.S. Army Corps of Engineers Field Research Facility at Duck, NC (Duck FRF). The resulting multi-sensor data set has allowed sensor measurement error to be estimated for the first time from measurement residuals about an ensemble average series. Comparing ensemble-based error estimates with corresponding Duck FRF nearshore wave data averaged over selected measurement periods shows that sensor error increases, as expected, with increasing significant wave height. However, the RMS residual error obtained is relatively small for low to moderate waves (Hmo ≤ 1.5 m); e.g., approximately ± 1.5 cm for an individual 6-minute water level measurement over a two-day period with 5-11 s waves averaging 1.14 m in height.
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