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Performance of geotextile-based slow sand filter media in removing total coli for drinking water treatment using system dynamics modelling

机译:基于土工织物的慢性砂滤介质的性能去除使用系统动力学建模的饮用水处理总体大肠杆菌

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摘要

In a slow sand filter, a biological layer consisting of alluvial mud and various types of microorganisms grows and attaches to the sand media and forms a matrix called schmutzdecke. Changes to several factors, including the quality of raw water, filtration speed, and the addition of media, affect the performance of the slow sand filter unit in producing treated water. Geotextiles can be equipped to improve the performance of a slow sand filter in removing pollutants. The selection of several factors that affect slow sand filter performance can be used as a starting point for the engineering system to determine the best pattern of performance behavior. This approach was carried out by looking at the dynamic behavior patterns of slow sand filter system performance in treating raw water. This research has not yet been conducted extensively. The dynamic behavior pattern approach to the performance of the slow sand filter unit was used to obtain the behavior model for the schmutzdecke layer on the filter. The system dynamic approach focused on treatment scenarios that can determine the behavior of the slow sand filter system. Several factors were assessed, including temperature, turbidity, nutrient concentration, algal concentration, bacteria and dissolved oxygen. Model simulation results show that the comparison of C: N: P values affected the performance of the schmutzdecke layer in removing total coli. The slow sand filter unit was capable of producing treated water with a total amount of coli equal to 0 on the C: N: P values of 85: 5.59: 1.25, respectively, and a 9 cm geotextile thickness.
机译:在缓慢的砂滤器中,由冲积泥和各种类型的微生物组成的生物层生长并附着在砂介质上并形成称为Schmutzdecke的基质。改变了几个因素,包括原水,过滤速度和添加介质的质量,影响缓慢砂过滤装置在生产处理水中的性能。可以配备土工布,以提高慢砂过滤器在去除污染物时的性能。选择影响缓慢砂滤器性能的几个因素可以用作工程系统的起点,以确定性能行为的最佳模式。通过观察治疗原水的缓慢砂过滤系统性能的动态行为模式来进行这种方法。该研究尚未广泛进行。用于慢砂滤波器单元性能的动态行为模式方法用于获得滤波器上施曼茨的行为模型。系统动态方法专注于可以确定慢砂滤波器系统行为的处理场景。评估了几种因素,包括温度,浊度,营养浓度,藻类浓度,细菌和溶解氧。模型仿真结果表明,C:N:P值的比较影响了Schmutzdecke层去除总COLI的性能。缓慢的砂滤器单元能够在C:N:P值分别为85:5.59:1.25的C:N:P值和9cm的土工织物厚度上产生处理水的处理水。

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