Simulating Turbidity Removal at a River Bank Filtration Site in India Using SCS-CN Approach
Publication: Journal of Hydrologic Engineering
Volume 17, Issue 11
Abstract
Use of the Soil Conservation Service curve number (SCS-CN) approach is very popular among hydrologists. Despite this, its applications in water quality modeling have been very limited. For the first time, the present work explores the potential of the SCS-CN approach in water quality modeling of the river bank filtration process using a theoretical framework. The approach relates the curve number (CN) with the filtration/kinetic coefficient and the input applied to the system. The approach is tested for its effectiveness using the field data collected at the river bank filtration site at Haridwar, India. The CN is found to be dependent on travel time between source water and the abstraction well in addition to the influent concentration. For very low or very high values of influent concentration, the curve number exhibits an asymptotic variation approaching 100 and 0, respectively. Using the data on source water quality and the travel time, it is possible to compute the curve number and, subsequently, the filtrate quality at an abstraction well.
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Acknowledgments
The work reported herein utilizes the data collected during the EU-India Economic cross cultural program (ECCP) project in which several partners from Europe and India participated. The data reported herein was collected by Mr. Aseem Kumar Thakur, former Ph.D. student at IIT Roorkee. He was also helped by Cornellius Sandhu in data collection in the initial stages. The author would like to acknowledge Assem K. Thakur and C. Sandhu for their data collection effort. The author would like to acknowledge the help of European partners, mainly Prof. T. Grischek, University of Applied Sciences, Germany, W. Rauch, and B. Wett at University of Innsbruck, Austria, for their input in the overall execution of the project. The help of Prof. C. Ray at University of Hawaii, Honolulu, HI, USA, and the financial support of EU is also gratefully acknowledged. The help of Dr. Bhism Kumar, Incharge, Isotope Division, NIH, Roorkee, India, is also gratefully acknowledged, who allowed the use of the NIH isotope laboratory and helped in the interpretation of results for travel time estimation. The author would also like to acknowledge Prof. S. K. Mishra, WRDM, IIT Roorkee, for providing useful literature on the SCS-CN method.
References
Aron, G., Miller, A. C. Jr., and Lakatos, D. F. (1977). “Infiltration formula based on SCS curve number.” J. Irrig. Drain. Div., 103(IR4), 419–427.
Bonta, J. V. (1997). “Determination of watershed curve number using derived distributions.” J. Irrig. Drain. Eng., 123(1), 234–238.
Garen, D., and Moore, D. S. (2005). “Curve number hydrology in water quality modeling: Use, abuse, and future directions.” J. Am. Water Resour. Assoc., 41(2), 377–388.
Golding, B. L. (1979). “Discussion of runoff curve numbers with varying soil moisture.” J. Irrig. Drain. Div., 105(IR4), 441–442.
Hjelmfelt, A. T. Jr. (1991). “Investigation of curve number procedure.” J. Hydraul. Eng., 117(6), 725–737.
Mishra, S. K., Sansalone, J. J., Glenn, D. W. III, and Singh, V. P. (2004a). “PCN based metal partitioning in urban snowmelt, rainfall/runoff, and river flow systems.” J. Am. Water Resour. Assoc., Paper No., 40(5), 1315–1337.
Mishra, S. K., Sansalone, J. J., and Singh, V. P. (2004b). “Partitioning analog for metal elements in urban rainfall-runoff overland flow using the soil conservation service curve number concept.” J. Environ. Eng., 130(2), 145–154.
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., Williams, J. R., and King, K. W. (2002). “Soil and water assessment tool (SWAT): Theoretical documentation, Version 2000.”, Texas Water Resources Institute, College Station, TX.
Ojha, C. S. P., and Graham, N. J. D. (1992). “Appropriate use of deep bed filtration models.” J. Environ. Eng., 118(6), 964–980.
Ojha, C. S. P., and Graham, N. J. D. (1993). “Theoretical estimates of bulk specific deposit in deep bed filters.” Water Res., 27(3), 377–387.
Ojha, C. S. P., and Graham, N. J. D. (1994). “Computer aided simulation of slow sand filter performance.” Water Res., 28(5), 1025–1030.
Ojha, C. S. P., and Thakur, A. K. (2011). “Turbidity removal during a subsurface movement of source water: A case study from Haridwar, India.” J. Hydrol. Eng., 16(1), 64–70.
Plummer, A., and Woodward, D. E. (1998). “The origin and derivation of in the runoff curve number system.” Proc., Int. Water Resources Engineering Conf., Water Resources Engineering, ASCE, New York, 1260–1265.
Soil Conservation Service (SCS). (1985). National engineering handbook, Soil Conservation Service, USDA, Washington, DC, Supplement A, Sect. 4, Chapter 10.
Young, R. A., Onstad, C. A., Bosch, D. D., and Anderson, W. P. (1989). “AGNPS: A nonpoint-source pollution model for evaluating agricultural watersheds.” J. Soil Water Conserv., 44(2), 168–173.
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© 2012 American Society of Civil Engineers.
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Received: Sep 17, 2010
Accepted: Sep 1, 2011
Published online: Sep 3, 2011
Published in print: Nov 1, 2012
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