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Modelling sewer sediment deposition, erosion, and transport processes to predict acute influent and reduce combined sewer overflows and CO_2 emissions

机译:对下水道沉积物的沉积,侵蚀和运输过程进行建模,以预测急性进水量并减少下水道溢流和CO_2排放总量

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Understanding of solids deposition, erosion, and transport processes in sewer systems has improved considerably in the past decade. This has provided guidance for controlling sewer solids and associated acute pollutants to protect the environment and improve the operation of wastewater systems. Although measures to decrease combined sewer overflow (CSO) events have reduced the amount of discharged pollution, overflows continue to occur during rainy weather in combined sewer systems. The solution lies in the amount of water allotted to various processes in an effluent treatment system, in impact evaluation of water quality and prediction technology, and in stressing the importance of developing a control technology. Extremely contaminated inflow has been a serious research subject, especially in connection with the influence of rainy weather on nitrogen and organic matter removal efficiency in wastewater treatment plants (WWTP). An intensive investigation of an extremely polluted inflow load to WWTP during rainy weather was conducted in the city of Matsuyama, the region used for the present research on total suspended solid (TSS) concentration. Since the inflow during rainy weather can be as much as 400 times that in dry weather, almost all sewers are unsettled and overflowing when a rain event is more than moderate. Another concern is the energy consumed by wastewater treatment; this problem has become important from the viewpoint of reducing CO_2 emissions and overall costs. Therefore, while establishing a prediction technology for the inflow water quality characteristics of a sewage disposal plant is an important priority, the development of a management/control method for an effluent treatment system that minimises energy consumption and CO_2 emissions due to water disposal is also a pressing research topic with regards to the quality of treated water. The procedure to improve water quality must make use of not only water quality and biotic criteria, but also modelling systems to enable the user to link the effect of changes in urban sewage systems with specific quality, energy consumption, CO_2 emission, and ecological improvements of the receiving water.
机译:在过去的十年中,对下水道系统中的固体沉积,侵蚀和运输过程的了解已大大提高。这为控制下水道固体和相关的急性污染物提供了指导,以保护环境并改善废水系统的运行。尽管减少联合下水道溢流(CSO)事件的措施减少了排放的污染物量,但在雨天期间,联合下水道系统仍继续发生溢出。解决方案在于分配给废水处理系统中各个过程的水量,水质的影响评估和预测技术以及强调开发控制技术的重要性。极度污染的流入一直是一个严肃的研究课题,尤其是与雨天对废水处理厂(WWTP)中氮和有机物去除效率的影响有关。在松山市进行了一次深入调查,结果是雨天期间污水处理厂的极度污染的入流负荷。松山市是目前用于研究总悬浮固体(TSS)浓度的区域。由于阴雨天气的流入量可能是干旱天气的流入量的400倍,因此,当降雨事件多于中等水平时,几乎所有的下水道都不会动荡并溢流。另一个问题是废水处理所消耗的能量。从减少CO 2排放和总体成本的角度来看,这个问题变得很重要。因此,尽管建立污水处理厂的进水水质特征预测技术是一个重要的优先事项,但为废水处理系统开发一种管理/控制方法,以最小化因水处理而产生的能耗和CO_2排放,这也是一项重要的工作。关于处理水质量的紧迫研究主题。改善水质的程序不仅必须利用水质和生物标准,还必须利用建模系统,使用户能够将城市污水系统变化的影响与特定质量,能耗,CO_2排放和生态改善联系起来。接收水。

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