Field testing CFD-based predictions of storage chamber gross solids separation efficiency

Water Science and Technology

Volumn 39, Issue 9, 1999, Pages 161-168

  Stovin, Virginia R ^a   Saul, Adrian J ^a   Drinkwater, Andrew ^b   Clifforde, Ian ^b  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b WRC PLC   (United Kingdom)

Author keywords

Computational fluid dynamics; Efficiency; Gross solids; National combined sewer overflow test facility; Storage chamber

Indexed keywords

COMBINED SEWERS; COMPUTATIONAL FLUID DYNAMICS; FLOW OF WATER; FLOW PATTERNS; SEDIMENT TRANSPORT; STORM SEWERS;

STORAGE CHAMBERS;

DRAINAGE;

RUNOFF;

COMPUTATIONAL FLUID DYNAMICS; FLOW PATTERN; SEPARATION; SEWER NETWORK;

CONFERENCE PAPER; PRODUCTIVITY; SEWER; SUSPENDED PARTICULATE MATTER; URBAN AREA; WATER FLOW;

EID: 0033020853     PISSN: 02731223     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0273-1223(99)00229-2     Document Type: Conference Paper

References (7)

1. Cant, J. (1991). Detention tank design and maintenance. Report UM1233. WRc, Swindon, UK.
2. Harwood, R. and Saul, A. J. (1996). CFD and novel technology in combined sewer overflow. Proceedings of the Seventh International Conference on Urban Storm Drainage, Hannover, Germany, 9-13 September, pp. 1025-1030.
3. Kluck, J. (1997). The design of optimally functioning storm water settling tanks. Ph.D. thesis. Delft University of Technology. Delft University Press.
4. Saul, A. J., Gupta, K. and Stovin, V. R. (1998). Gross solids characteristics and an event-based CSO efficiency prediction methodology. Proceedings of the Fourth International Conference on Urban Drainage Modelling, 21-24 September 1998, London, UK, pp. 373-380.
5. Stovin, V. R. (1996). The prediction of sediment deposition in storage chambers based on laboratory observations and numerical simulation. Ph.D. thesis. The University of Sheffield, UK.
6. Stovin, V. R., Sims, J. and Saul, A. J. (1997). Improved design of detention tanks. Portfolio Project P6205, Report to WRc plc. Department of Civil and Structural Engineering, The University of Sheffield.
7. Stovin, V. R. and Saul, A. J. (1998). A computational fluid dynamics (CFD) particle tracking approach to efficiency prediction. Wat. Sci. Tech, 37(1), 285-293.