对于改善洪水监测和损害评估的尖端传感器技术的审查
Yixin Tao1, Bingwei Tian1, Basanta Raj Adhikari2
1Institute for Disaster Management and Reconstruction, Sichuan University-The Hong Kong Polytechnic University, Chengdu 610207, China.
Sensors (Basel, Switzerland)
|November 9, 2024
概括
洪水监测技术已经从地面传感器发展到先进的遥感. 将这些传感器与人工智能集成是改善洪水管理和灾害响应效率的关键.
科学领域:
- 环境科学 环境科学
- 地理空间技术是什么
- 灾害管理 灾害管理
背景情况:
- 洪水是常见的,破坏性的自然灾害,气候变化加剧了,需要有效的管理和缓解策略.
- 监测洪水事件,包括突然,沿海和城市洪水,对于预防和应对灾害至关重要.
- 洪水监测已经从现场传感器发展到高精度的空中和遥感技术.
研究的目的:
- 分析洪水传感器的历史发展及其在不同国家中的作用.
- 探索各种传感器类型在洪水监测和管理中的有效性.
- 确定洪水传感器技术的趋势,特别是与人工智能的集成.
主要方法:
- 关于洪水传感器技术的文献综述.
- 对洪水监测和管理的案例研究的分析.
- 探索传感器发展史和驱动因素.
主要成果:
- 洪水监测已经从地面转向复杂的空中和遥感.
- 一个显著的趋势是洪水传感器与人工智能 (AI) 的整合.
- 传感器技术的进步直接影响到当地洪水管理的有效性.
结论:
- 洪水传感器的进化,特别是与人工智能集成的进化,对于加强洪水监测和应对至关重要.
- 了解传感器的有效性对于改善灾难缓解策略至关重要.
- 传感技术的持续创新将进一步加强洪水管理能力.
相关概念视频
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
391
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
391
Applications of GIS: Disaster Management and Emergency Response
779
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
779
Microbial Biosensors
91
Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
91


