A landslide early warning system based on monitoring acoustic emission (AE) generated by slope movements has been developed that can deliver alerts direct to a community at risk, with relevance to low- and middle-income countries. The Community Slope SAFE (Sensors for Acoustic Failure Early-warning) (CSS) approach uses steel waveguides driven into the slope to transmit detected high frequency noise (AE) to a sensor at the ground surface. CSS gives a measure of slope displacement rate. Continuously measured AE is compared to a pre-defined trigger level that is indicative of decreasing slope stability (i.e., landslide initiation), and a visual and audible alert automatically generated so that a community can follow a pre-defined course of action (e.g., evacuation). This paper describes the CSS approach and details a field trial of the system at two sites in Hakha, Chin Sate, Myanmar. The trial, which included training a group of youth Landslide Response Volunteers to install and operate the CSS system, increased landslide awareness and knowledge in the Hakha community, delivered the required real-time continuous operation, and demonstrated the practicality of using the CSS system for community landslide protection.

中文翻译：

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社区运营的滑坡预警方法：缅甸案例研究

已经开发了一种基于监测斜坡运动产生的声发射 (AE) 的滑坡预警系统，该系统可以直接向处于危险中的社区发出警报，与低收入和中等收入国家相关。社区斜坡 SAFE（声学故障预警传感器）（CSS）方法使用钢波导驱动到斜坡中，将检测到的高频噪声（AE）传输到地表的传感器。CSS 给出了坡度位移率的量度。将连续测量的 AE 与指示斜坡稳定性降低（即滑坡开始）的预定义触发水平进行比较，并自动生成视觉和听觉警报，以便社区可以遵循预定义的行动过程（例如，疏散）。本文介绍了 CSS 方法，并详细介绍了该系统在缅甸钦萨特哈卡的两个地点的现场试验。该试验包括培训一组青年滑坡响应志愿者安装和操作 CSS 系统，提高了 Hakha 社区的滑坡意识和知识，提供了所需的实时连续操作，并展示了使用 CSS 系统的实用性社区滑坡保护。