Fitriani Nurina, Kusuma Maritha Nilam, Wirjodirdjo Budisantoso, Hadi Wahyono, Hermana Joni, Kurniawan Setyo Budi, Abdullah Siti Rozaimah Sheikh, Mohamed Radin Maya Saphira Radin
Department of Biology, Faculty of Science and Technology, Universitas Airlangga, Kampus C UNAIR, Jalan Mulyorejo, Surabaya 60115, Indonesia.
Department of Environmental Engineering, Institut Teknologi Adhi Tama Surabaya, Jalan Arif Rahman Hakim No. 100, Surabaya 60117, Indonesia.
Heliyon. 2020 Sep 24;6(9):e04967. doi: 10.1016/j.heliyon.2020.e04967. eCollection 2020 Sep.
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 . 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 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 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.
在慢砂滤池中，由冲积泥和各种微生物组成的生物层生长并附着在砂介质上，形成一种称为 的基质。包括原水水质、过滤速度和介质添加等几个因素的变化，会影响慢砂滤池单元生产处理水的性能。可以配备土工布来提高慢砂滤池去除污染物的性能。影响慢砂滤池性能的几个因素的选择，可以作为工程系统确定最佳性能行为模式的起点。这种方法是通过观察慢砂滤池系统处理原水时的动态行为模式来进行的。这项研究尚未广泛开展。采用慢砂滤池单元性能的动态行为模式方法来获得滤池上 层的行为模型。系统动力学方法侧重于能够确定慢砂滤池系统行为的处理场景。评估了几个因素，包括温度、浊度、营养物浓度、藻类浓度、细菌和溶解氧。模型模拟结果表明，C:N:P值的比较影响 层去除总大肠菌的性能。慢砂滤池单元能够分别在C:N:P值为85:5.59:1.25且土工布厚度为9厘米的情况下生产出总大肠菌数量为0的处理水。
