雨量观测利用使用防水外获取的雨滴声音:探索频率分析声音的最佳长度
Seunghyun Hwang1, Changhyun Jun1, Carlo De Michele2
1Department of Civil and Environmental Engineering, Chung-Ang University, Seoul 06974, Republic of Korea.
Sensors (Basel, Switzerland)
|July 13, 2024
概括
这项研究引入了一种新方法,利用雨滴声音来估计降雨强度. 一种新的声学设备准确地检测降雨的发生和强度,为传统方法提供了具有成本效益的替代方案.
科学领域:
- 环境科学 环境科学
- 声学 声学 在声学上
- 气象学 天气学
背景情况:
- 准确的降雨强度估计对于各种应用,包括水文学和灾害管理至关重要.
- 传统的降雨量测量方法可能昂贵且空间有限.
- 声学分析为降雨监测提供了一个潜在的低成本,高分辨率的替代方案.
研究的目的:
- 开发和验证一种新的方法,用雨滴的声学数据来估计降雨强度.
- 设计和测试一种创新的声学装置,用于在各种环境条件下收集降雨声音数据.
- 使用不同时间段长度 (1s,10s,1min) 进行降雨强度估计的性能比较.
主要方法:
- 在季风和非季风季节使用定制设计的,消除噪音的设备收集声学数据.
- 从雨滴声音的频率域中提取特征 (dB的平均值,dB的频率加权平均值,dB的标准偏差,最高频率).
- 使用机器学习算法对1s,10s和1min段进行降雨发生的分类和降雨强度的定量估计.
主要成果:
- 降雨发生分类的最佳性能是使用10s段 (精度:0.909,F1得分:0.859) 实现的.
- 使用10s分段进行量化降雨强度估计,结果是根平均平方误差为1.675mm/h,R2为0.798.
- 与传统的降雨监测设备相比,该方法的准确性和成本效益非常高.
结论:
- 雨滴声音的声学分析提供了一种可行且具有成本效益的方法来估计降雨强度.
- 开发的声学装置是紧的,轻量级的,适合广泛部署.
- 这项技术可以加强在广泛的地理区域收集详细的降雨数据.
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