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Technical Note: Novel method for water vapour monitoring using wireless communication networks measurements

机译:技术说明:使用无线通信网络测量进行水蒸气监测的新方法

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We propose a new technique that overcomes the obstacles of the existingmethods for monitoring near-surface water vapour, by estimating humidityfrom data collected through existing wireless communication networks.Weather conditions and atmospheric phenomena affect the electromagneticchannel, causing attenuations to the radio signals. Thus, wirelesscommunication networks are in effect built-in environmental monitoringfacilities. The wireless microwave links, used in these networks, are widelydeployed by cellular providers for backhaul communication between basestations, a few tens of meters above ground level. As a result, if allavailable measurements are used, the proposed method can provide moistureobservations with high spatial resolution and potentially high temporalresolution. Further, the implementation cost is minimal, since the data usedare already collected and saved by the cellular operators. In addition –many of these links are installed in areas where access is difficult such asorographic terrain and complex topography. As such, our method enablesmeasurements in places that have been hard to measure in the past, or havenever been measured before. The technique is restricted to weatherconditions which exclude rain, fog or clouds along the propagation path.Strong winds that may cause movement of the link transmitter or receiver (orboth) may also interfere with the ability to conduct accurate measurements.We present results from real-data measurements taken from two microwavelinks used in a backhaul cellular network that show convincing correlationto surface station humidity measurements. The measurements were taken dailyin two sites, one in northern Israel (28 measurements), the other in centralIsrael (29 measurements). The correlation between the microwave linkmeasurements and the humidity gauges were 0.9 and 0.82 for the north andcentral sites, respectively. The Root Mean Square Differences (RMSD) were1.8 g/m3 and 3.4 g/m3 for the northern andcentral site measurements, respectively.
机译:我们提出了一项新技术,该技术可以通过从现有无线通信网络收集的数据中估算湿度来克服现有监测近地表水蒸气方法的障碍。 天气条件和大气现象会影响电磁通道,从而导致电磁波衰减。无线电信号。因此,无线通信网络实际上是内置的环境监视设施。这些网络中使用的无线微波链路已被蜂窝提供商广泛采用,用于基站之间距离地面数十米的回程通信。结果,如果使用所有可用的测量,则所提出的方法可以提供具有高空间分辨率和潜在地高时间分辨率的湿度观测。此外,由于使用的数据已经由蜂窝运营商收集并保存,因此实​​现成本最小。此外,这些链接中的许多链接都安装在难以访问的区域,例如地形地形和复杂的地形。因此,我们的方法可以在过去难以测量或以前从未测量过的地方进行测量。该技术仅限于沿传播路径排除雨,雾或云的天气条件,强风可能导致链路发送器或接收器(或两者)移动,也可能干扰进行精确测量的能力。 我们介绍了从回程蜂窝网络中使用的两条微波链路获得的实际数据测量结果,这些数据显示出令人信服的与地面站湿度测量的相关性。每天在两个地点进行测量,一个在以色列北部(28个测量值),另一个在以色列中部(29个测量值)。北部和中部站点的微波链路测量值和湿度计之间的相关性分别为0.9和0.82。北部和中央站点测量的均方根差(RMSD)分别为1.8 g / m 3 和3.4 g / m 3

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