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A mathematical model to plan for long-term effects of water conservation choices on dry weather wastewater flows and concentrations

机译:数学模型,用于计划节水措施对干旱天气废水流量和浓度的长期影响

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摘要

In many cities, sewer systems are experiencing conditions that are significantly different from those for which they were designed. Factors such as water conservation efforts, changes in population, and efforts to reduce infiltration are altering the quantity and quality of sewage. These changes may affect the ability of sewers to maintain self-cleansing velocities, which are crucial to avoiding solids settling and corrosion issues. Further, such changes may alter the timeline for expected wastewater plant expansion. The present work proposes a method for predicting average annual dry weather wastewater flow, as well as pollutant load and concentration over time. The method takes into account potential declines in per person wastewater production due to water conservation and reuse practices, as well as other potential changes such as shifts in population, transformations in industrial wastewater production, and variations in dry weather infiltration. Results show that the amount of dry weather infiltration will play a large role in whether or not conservation will affect self-cleansing velocities or plant expansions. Conservation is most beneficial to systems with high levels of dry weather infiltration since plant expansion could be avoided; and most detrimental to systems with low levels of infiltration since low flow conditions could lead to settling and corrosion in the sewer. Furthermore, the rate of implementation of conservation efforts influences when impacts to the system would occur. Utility planners will be able to use this method to predict treatment plant upgrade and expansion needs more accurately as well as to assess the relative value of utility-based maintenance activities and conservation practices.
机译:在许多城市,下水道系统所处的状况与设计时所经历的状况大不相同。节约用水的努力,人口的变化以及减少渗透的努力等因素正在改变污水的数量和质量。这些变化可能会影响下水道保持自洁速度的能力,这对于避免固体沉降和腐蚀问题至关重要。此外,这种变化可能会改变废水处理厂预期扩建的时间表。目前的工作提出了一种预测年平均干燥天气废水流量以及随着时间推移污染物负荷和浓度的方法。该方法考虑到由于节水和再利用的做法而导致的人均废水产量的潜在下降,以及其他潜在的变化,例如人口变化,工业废水生产的转化以及干旱天气的渗透。结果表明,干燥天气的渗透量将在保护是否影响自洁速度或植物扩展方面发挥重要作用。养护对干旱天气高渗的系统最有利,因为可以避免植物的繁殖;对低渗透率的系统最不利,因为低流量条件可能导致下水道沉降和腐蚀。此外,保护工作的实施速度会影响对系统的影响。公用事业计划者将能够使用此方法来更准确地预测污水处理厂的升级和扩建需求,以及评估基于公用事业的维护活动和养护实践的相对价值。

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