相关实验视频
Updated: Jun 6, 2025

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Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
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一个基于逻辑的水资源回收设施的弹性指标
Anna S Laino1, Ben Wooding2, Sadegh Soudjani3
1School of Engineering, Newcastle University Newcastle upon Tyne NE1 7RU UK a.s.laino2@newcastle.ac.uk.
概括
本研究引入了一种新指标,用于测量水资源回收设施 (WRRFs) 对极端事件的弹性. 它确定了像暴雨这样的关键压力值,这些压力值会损害WRRF的功能和合规性.
科学领域:
- 环境工程环境工程
- 水资源管理 水资源管理
- 废水处理 废水处理
背景情况:
- 水资源回收设施 (WRRFs) 面临着气候变化和人口增长带来的越来越大的压力.
- 现有的测量WRRF弹性方法没有标准化,这阻碍了有效的风险评估.
- 弹性对于在不良事件期间保持运营服务水平和监管合规性至关重要.
研究的目的:
- 开发可量化的指标来评估WRRF在极端压力下的弹性.
- 建立一种标准化的方法来测量WRRFs承受干扰的能力.
- 确定导致WRRF弹性丧失的关键压力值.
主要方法:
- 开发基于信号时间逻辑 (STL) 的弹性指标,以定义可接受的WRRF功能.
- 在WRRF模型上利用蒙特卡洛模拟和场景优化.
- 该方法应用于22个组件设施的数字模型,分析生化氧需求 (BOD) 和化学氧需求 (COD) 的合规性.
主要成果:
- 量化了WRRF可以承受的最大应力,同时保持STL定义的BOD和COD的合规性.
- 在案例研究中,确定了极端降雨事件导致弹性丧失的值.
- 证明了该方法对常规监控数据的适用性以及与SCADA系统的潜在集成.
结论:
- 拟议的基于STL的指标提供了一种标准化的方法来量化WRRF弹性.
- 获得的洞察力可以为设计更强大的处理过程提供信息,减少环境影响.
- 该方法为水利公司提供了一种实际的工具,用于评估和增强运营弹性.
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