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Performance Evaluation of Riverbank Filtration Scheme


Affiliations
1 National Institute of Hydrology, Roorkee 247 667, India
2 University of Applied Sciences Dresden, Friedrich-List-Platz 1, 01069 Dresden, Germany
 

This article presents an analytical method to determine the distance of a bank filtration well from a river in commensuration with the desired percentage of bank filtrate and removal of pathogenic compounds. Applying least squares optimization technique using Marquardt algorithm, the unknown parameter, distance of the well from the river has been estimated. The travel time in commensuration with the desired percentage removal of pathogenic compounds has been ascertained using the first-order decay equation.

For evaluating effectiveness of the technique, the physico-chemical and biological parameters of extracted bank filtrate from 22 wells located in the vicinity of the River Ganga and the Upper Ganga Canal network at Haridwar have been analysed for the non-monsoon and the monsoon periods. The physicochemical parameters of the extracted water showed concentration much below the acceptable limits, except turbidity. The percentage removal of turbidity in the extracted water was found about 98 and 76 during the monsoon and non-monsoon periods respectively, in comparison to water from the river/canal. The count of biological parameters, viz. total coliform and faecal coliform in the extracted water is removed considerably (65% to 85%), but is found above the acceptable limit. The reason could be mixing of bank filtrate with the rich constituents in the groundwater. It is suggested that bank filtration dilutes groundwater quality and can be regarded as a technique to conjunctive management of surface and groundwater quality.


Keywords

Analytical Method, Bank Filtration, Case Study, Distance, Hydrochemistry, Performance Evaluation.
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  • Performance Evaluation of Riverbank Filtration Scheme

Abstract Views: 363  |  PDF Views: 139

Authors

Narayan C. Ghosh
National Institute of Hydrology, Roorkee 247 667, India
Saroj Kumari Khatania
National Institute of Hydrology, Roorkee 247 667, India
Shashi Poonam Indwar
National Institute of Hydrology, Roorkee 247 667, India
Cornelius S. S. Sandhu
University of Applied Sciences Dresden, Friedrich-List-Platz 1, 01069 Dresden, Germany
C. K. Jain
National Institute of Hydrology, Roorkee 247 667, India
Sanjay Mittal
National Institute of Hydrology, Roorkee 247 667, India
Rakesh Goel
National Institute of Hydrology, Roorkee 247 667, India

Abstract


This article presents an analytical method to determine the distance of a bank filtration well from a river in commensuration with the desired percentage of bank filtrate and removal of pathogenic compounds. Applying least squares optimization technique using Marquardt algorithm, the unknown parameter, distance of the well from the river has been estimated. The travel time in commensuration with the desired percentage removal of pathogenic compounds has been ascertained using the first-order decay equation.

For evaluating effectiveness of the technique, the physico-chemical and biological parameters of extracted bank filtrate from 22 wells located in the vicinity of the River Ganga and the Upper Ganga Canal network at Haridwar have been analysed for the non-monsoon and the monsoon periods. The physicochemical parameters of the extracted water showed concentration much below the acceptable limits, except turbidity. The percentage removal of turbidity in the extracted water was found about 98 and 76 during the monsoon and non-monsoon periods respectively, in comparison to water from the river/canal. The count of biological parameters, viz. total coliform and faecal coliform in the extracted water is removed considerably (65% to 85%), but is found above the acceptable limit. The reason could be mixing of bank filtrate with the rich constituents in the groundwater. It is suggested that bank filtration dilutes groundwater quality and can be regarded as a technique to conjunctive management of surface and groundwater quality.


Keywords


Analytical Method, Bank Filtration, Case Study, Distance, Hydrochemistry, Performance Evaluation.



DOI: https://doi.org/10.18520/cs%2Fv109%2Fi2%2F301-310