Competence Center for Renewable Energies and Energy Efficiency (CC4E), Hamburg University of Applied Sciences, Hamburg, Germany.
Department of Environmental Technology, Faculty of Life Sciences, Hamburg University of Applied Sciences, Hamburg, Germany.
PLoS One. 2024 Jun 12;19(6):e0299153. doi: 10.1371/journal.pone.0299153. eCollection 2024.
This paper presents the results of bats detected with marine radar and their validation with acoustic detectors in the vicinity of a wind turbine with a hub height of 120 m. Bat detectors are widely used by researchers, even though the common acoustic detectors can cover only a relatively small volume. In contrast, radar technology can overcome this shortcoming by offering a large detection volume, fully covering the rotor-swept areas of modern wind turbines. Our study focused on the common noctule bats (Nyctalus noctula). The measurement setup consisted of a portable X-band pulse radar with a modified radar antenna, a clutter shielding fence, and an acoustic bat detector installed in the wind turbine's nacelle. The radar's detection range was evaluated using an analytical simulation model. We developed a methodology based on a strict set of criteria for selecting suitable radar data, acoustic data and identified bat tracks. By applying this methodology, the study data was limited to time intervals with an average duration of 48 s, which is equal to approximately 20 radar images. For these time intervals, 323 bat tracks were identified. The most common bat speed was extracted to be between 9 and 10 m/s, matching the values found in the literature. Of the 323 identified bat tracks passed within 80 m of the acoustic detector, 32% had the potential to be associated with bat calls due to their timing, directionality, and distance to the acoustic bat detector. The remaining 68% passed within the studied radar detection volume but out of the detection volume of the acoustic bat detector. A comparison of recorded radar echoes with the expected simulated values indicated that the in-flight radar cross-section of recorded common noctule bats was mostly between 1.0 and 5.0 cm2, which is consistent with the values found in the literature for similar sized wildlife.
本文展示了在一座 120 米高的风机附近,利用海洋雷达探测到的蝙蝠及其与声学探测器的验证结果。蝙蝠探测器已被研究人员广泛应用,尽管常见的声学探测器的覆盖范围相对较小。相比之下,雷达技术可以通过提供大的检测范围来克服这一缺点,完全覆盖现代风力涡轮机的转子扫掠区域。我们的研究重点是普通夜蝠(Nyctalus noctula)。测量设置包括一个带有改装雷达天线、杂波屏蔽围栏的便携式 X 波段脉冲雷达,以及安装在风力涡轮机机舱内的声学蝙蝠探测器。利用分析模拟模型评估了雷达的检测范围。我们开发了一种基于严格标准的方法,用于选择合适的雷达数据、声学数据和识别蝙蝠轨迹。通过应用这种方法,研究数据仅限于平均持续时间为 48 秒的时间间隔,这相当于大约 20 个雷达图像。对于这些时间间隔,共识别出 323 条蝙蝠轨迹。提取的最常见蝙蝠速度在 9 到 10 米/秒之间,与文献中的值相匹配。在 323 条被识别的蝙蝠轨迹中,有 32%的蝙蝠轨迹由于时间、方向和与声学蝙蝠探测器的距离,有可能与蝙蝠叫声相关。其余 68%的蝙蝠轨迹在研究的雷达检测范围内,但不在声学蝙蝠探测器的检测范围内。记录的雷达回波与预期模拟值的比较表明,记录的普通夜蝠的飞行雷达截面大多在 1.0 到 5.0 平方厘米之间,这与文献中类似大小野生动物的测量值一致。