一个"预测 - 检测 - 判断"框架,用于检测突然水污染事件,并通过在线监测进行监测
Zhenliang Liao1, Minhao Zhang2, Yun Chen3
1College of Civil Engineering and Architecture, Xinjiang University, Urumqi 830046, PR China; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, PR China.
Journal of environmental management
|March 4, 2024
概括
这项研究引入了一个新的框架,用于及时检测地表水污染. "预测 - 检测 - 判断"方法实现100%的检测概率,低误报率,对水质管理至关重要.
科学领域:
- 环境科学 环境科学
- 水资源管理 水资源管理
- 数据科学数据科学数据科学
背景情况:
- 在线水质监测对于保护地表水至关重要.
- 由于动态数据变化和干扰因素,及时检测突然污染事件具有挑战性.
研究的目的:
- 提出和评估一个新的框架,以有效和及时检测地表水中的污染.
- 引入"检测时间"作为污染检测方法的关键评估指数.
主要方法:
- 一个小小的东西.
- 预测 - 检测 - 判断
- 开发了整合"时间序列增量 - 层次聚类 - 贝叶斯定理模型"的框架.
- 评估指标包括检测概率,错误报警率和检测时间.
主要成果:
- 提出的方法实现了100%的检测概率.
- 记录了一个17%的错误报警率.
- 检测的时间大约是4个监测间隔,证明了高及时性.
结论:
- 这是一个很棒的节目,这是一个很棒的节目.
- 预测 - 检测 - 判断
- 该框架对于及时检测地表水污染是有效的.
- "检测时间"指数准确地评估了快速响应的方法及时性.
- 该框架是可行的,实用的,适合在现实世界监测站点广泛实施.
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