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扩大床载监测:大型河流系统的被动声学方法
J Le Guern1, P Jugé2, F G Latosinski3
1UMR CNRS 7324 CITERES, University of Tours, Tours, France.
The Science of the total environment
|January 6, 2026
概括
被动声学监测可靠地量化了大河流中的床载运输. 这种方法为沉积物监测提供了实用解决方案,解决了河流管理和形态动力学预测中的数据缺口.
科学领域:
- 环境科学 环境科学
- 水文学的水文学
- 河流的地质形态学
背景情况:
- 量化大型河流流域的床载运输对于沉积物预算评估和河流管理至关重要.
- 传统的床载量直接采样方法是劳动密集型的,并且提供有限的时空数据.
- 现有的方法难以为大型河流系统提供全面的数据.
研究的目的:
- 为了证明被动声学监测 (PAM) 的有效性,使用水声器来量化集水区规模的床载量流.
- 通过使用PAM在一系列排放条件中建立可靠的床载量评级曲线.
- 评估PAM对长期河流监测的准确性和适用性.
主要方法:
- 在卢瓦尔河系统 (2018-2025) 的七个站点部署了被动声学监测.
- 基于声学数据和排放的床载量评级曲线的开发.
- 蒙特卡洛灵敏度分析,以确定最佳的抽样策略.
- 与16个半经验运输公式的交叉验证和形态变化分析 (1995-2020).
主要成果:
- PAM可靠地量化了整个集水区规模的床载量流.
- 用最少四次测量的分层抽样可以产生准确的评分曲线 (<20%的误差).
- 声流估计显示了与经验公式和形态学数据的数量顺序一致.
- 在床载运输 (5,000455,000/年) 中观察到显著的空间变化,与支流和人类影响有关.
结论:
- 被动声学监测为量化大型河床载荷运输提供了一种实用和可靠的方法.
- 这种方法可以建立持续的监测网络,填补关键数据缺口.
- 这项技术支持改善河流管理,沉积物预算评估和形态动力学预测.
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