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Use of soil conservation service curve number and filtration coefficient approach for simulating Escherichia coli removal during river bank filtration
Journal of Water Process Engineering ( IF 6.3 ) Pub Date : 2020-06-27 , DOI: 10.1016/j.jwpe.2020.101432
Rajiv Lochan Sahu , Rakesh Roshan Dash , Pradip Kumar Pradhan

Water quality of River Tel and bank filtrate at Belgaon, India were studied for a period of 12 months to assess the effectiveness of river bank filtration (RBF). Escherichia coli (E. coli) were found to be successfully removed from surface water during river bank filtration. As limited work has been done regarding the use of two models i.e. Soil conservation service curve number (SCS-CN) approach and filtration coefficient (FC) approach for water quality modelling and monitoring, these models have been utilized to correlate the influent (source water) and effluent (filtrate water) concentration at Belgaon. The model indicates that filtration coefficient is linearly related to the natural logarithm of the influent concentration. CN is also found well correlated with the influent concentration variations. Both SCS-CN approach and filtration coefficient approach was also found well correlated with variations in the river water quality at other established RBF sites i.e. River Upper Krishna, Southern India and River Yamuna, Palla & Nizamuddin, Delhi. From the study it can be concluded that it is possible to simulate the observed filtrate effluent for E. coli quality using both SCS-CN and filtration coefficient approach.



中文翻译:

利用土壤保护服务曲线数和过滤系数法模拟河岸过滤过程中大肠杆菌的去除

对印度Belgaon的河电话水质和河岸滤液进行了为期12个月的研究,以评估河岸过滤(RBF)的有效性。大肠杆菌 E. coli)被发现可以在河岸过滤过程中从地表水中成功去除。由于关于水质建模和监测的两个模型(即土壤保持服务曲线数(SCS-CN)方法和过滤系数(FC)方法)的使用工作已完成,因此已利用这些模型来关联入水(源水)。 )和Belgaon的废水(滤液水)浓度。该模型表明过滤系数与进水浓度的自然对数线性相关。还发现CN与进水浓度变化密切相关。在其他已建立的RBF站点(即印度南部的克里希纳河上游和亚穆纳河,帕拉河和拉斐尔河),还发现SCS-CN方法和过滤系数方法都与河流水质变化密切相关。德里Nizamuddin。从研究中可以得出结论,有可能模拟观察到的使用SCS-CN和过滤系数方法的大肠杆菌质量。

更新日期:2020-06-27
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