首页> 外文会议>Stormwater and green infrastructure symposium >Real-Time Control of Brooklyn Botanic Garden's Water Features for Combined Sewer Overflow Mitigation and Water Conservation
【24h】

Real-Time Control of Brooklyn Botanic Garden's Water Features for Combined Sewer Overflow Mitigation and Water Conservation

机译:布鲁克林植物园的实时控制植物合并下水道溢流缓解和水资源保护

获取原文

摘要

Communities are increasingly turning to "smart" water systems to address their often-competing stormwater challenges. This begs the question "how much more effective are smart stormwater systems?". To address this question, we evaluated the smart stormwater system at the Brooklyn Botanic Garden in Brooklyn, New York. The Water Garden Pond at the Brooklyn Botanic Garden uses continuous monitoring and adaptive control (CMAC) to automatically control the timing and rate of discharge from the pond to the downstream combined sewer system. The objectives of this system are combined sewer overflow (CSO) reduction, potable water conservation, and aesthetics. To evaluate the performance of this system, we monitored the actively-controlled Water Garden Pond over a sixteen-month period for discharge to the combined sewer during wet weather. We then simulated the hydraulics of a similar passive stormwater systems, and compared the performance of both systems. Results of this analysis show that the observed active system prevents 91 % of stormwater runoff from discharging during rain events, whereas the simulated passive system prevents 23% of wet weather discharge. By using this type of real-time control, communities are able to enhance their stormwater systems to better meet competing objectives.
机译:社区越来越多地转向“智能”水系统,以解决他们经常竞争的雨水挑战。这引出了问题“智能雨水系统有多有效?”。为了解决这个问题,我们在纽约布鲁克林的布鲁克林植物园评估了智能雨水系统。布鲁克林植物园的水上园池塘采用连续监测和自适应控制(CMAC)来自动控制从池塘到下游组合下水道系统的排放时间和速率。该系统的目标是下水道溢出(CSO)减少,饮用水保和美学。为了评估该系统的性能,我们在潮湿天气期间监测了十六个月的60个月内的主动控制的水上园池。然后,我们模拟了类似被动雨水系统的液压,并比较了两个系统的性能。该分析结果表明,观察到的活性系统可防止雨水事件中排出的91%的雨水径流,而模拟的被动系统可防止23%的潮湿天气放电。通过使用这种类型的实时控制,社区能够增强他们的雨水系统,以更好地满足竞争目标。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号