首页> 外文期刊>Water Science and Technology >Assessment of erosion and sedimentation dynamic in a combined sewer network using online turbidity monitoring
【24h】

Assessment of erosion and sedimentation dynamic in a combined sewer network using online turbidity monitoring

机译:利用在线浊度监测评估下水道网络中侵蚀和沉降的动态

获取原文
获取原文并翻译 | 示例
       

摘要

Eroded sewer sediments are a significant source of organic matter discharge by combined sewer overflows. Many authors have studied the erosion and sedimentation processes at the scale of a section of sewer pipe and over short time periods. The objective of this study was to assess these processes at the scale of an entire sewer network and over 1 month, to understand whether phenomena observed on a small scale of space and time are still valid on a larger scale. To achieve this objective the continuous monitoring of turbidity was used. First, the study of successive rain events allows observation of the reduction of the available sediment and highlights the widely different erosion resistance for the different sediment layers. Secondly, calculation of daily chemical oxygen demand (COD) fluxes during the entire month was performed showing that sediment storage in the sewer pipe after a rain period is important and stops after 5 days. Nevertheless, during rainfall events, the eroded fluxes are more important than the whole sewer sediment accumulated during a dry weather period. This means that the COD fluxes promoted by runoff are substantial. This work confirms, with online monitoring, most of the conclusions from other studies on a smaller scale.
机译:下水道沉淀物被腐蚀是下水道溢流的重要有机物排放源。许多作者已经研究了一段下水道的规模和短期内的侵蚀和沉降过程。这项研究的目的是在整个下水道网络的规模和超过1个月的时间内评估这些过程,以了解在较小的空间和时间范围内观察到的现象是否在较大范围内仍然有效。为了达到这个目的,使用了对浊度的连续监测。首先,对连续降雨的研究可以观察到可用沉积物的减少,并强调了不同沉积物层的抗侵蚀性差异很大。其次,计算了整个月的每日化学需氧量(COD)通量,显示出雨后的下水道中的沉积物存储很重要,并在5天后停止。然而,在降雨事件中,侵蚀的通量比干旱时期积聚的整个下水道沉积物更为重要。这意味着由径流促进的COD通量很大。这项工作通过在线监测证实了其他规模较小的研究得出的大多数结论。

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