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Practical Features of 3D Lightning Mapping System FALMA

机译:3D闪电测绘系统FALMA的实用功能

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we have examined the accuracy of locating return strokes with Fast Antenna Lightning Mapping Array (FALMA) after excluding CG flashes that may have multiple striking points with different locations. The mean and median errors are 27.4 m and 15.6 m, respectively. Several ground truths collected are basically supportive of such high accuracy of FALMA. It appears that FALMA can be used to assist in locating efficiently the damage mark caused by lightning discharges on various power transmission and distribution equipment. With the data recorded by FALMA during the summer of 2017, which include more 3300 CG flashes, we have performed a simulation on forecasting CG flashes with FALMA at various prediction radiuses and forecast times. With a prediction radius of 10 km and a forecast time of 30 minutes, we found that 99.5% CG flashes can be forecasted. For 98% CG flashes, the prediction lead time is more than 5 minutes. Both the failure prediction and the short lead time deteriorate with the decreasing prediction radius. For different types of applications, the prediction time can be optimized to be as short as several minutes to about 30 minutes.
机译:在排除可能具有多个打击点且位置不同的CG闪光之后,我们检查了快速天线闪电映射阵列(FALMA)定位返回笔划的准确性。平均误差和中位数误差分别为27.4 m和15.6 m。收集到的一些基本事实基本上支持FALMA的如此高的准确性。看起来,FALMA可用于帮助有效地定位由各种电力传输和配电设备上的雷电放电引起的损坏标记。根据FALMA在2017年夏季记录的数据,其中包括3300多个CG闪光,我们使用FALMA在不同的预测半径和预测时间对CG闪光的预测进行了模拟。以10 km的预测半径和30分钟的预测时间,我们发现可以预测99.5%的CG闪光。对于98%的CG闪烁,预测提前时间超过5分钟。故障预测和短提前期都会随着预测半径的减小而恶化。对于不同类型的应用程序,可以将预测时间优化为短至几分钟到大约30分钟。

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