Water, Wastewater & Stormwater

Oral

398045 - A Comparison of Peaking Factor of Real Measured Flow Data in Tehran and Isfahan Wastewater Collection System with Empirical Formulas

Thursday, June 7
10:30 AM - 12:00 PM
Location: Greenway EF
Co-Authors: Omidreza Shoghli, Charlotte – University of North Carolina at Charlotte

Daily flow variation through Waste Water Collection Systems (WWCS) should be considered in the proper design of the network. Traditionally, design procedures are carried out by estimation of maximum hourly flow, whereby sewers diameters are calculated. Empirical formulas such as Babbitt, Gifft and Harmon are used to calculate maximum hourly flow. Based on these formulas, Kmax, which is proportional to population, is used to calculate maximum hourly sewage flow rate, by multiplying Kmax by mean daily sewage flow value. Then, diameters of sewers are estimated using this flow estimation. Recently, flow measurement is carried out in a greater extent compared to the past. This has been possible by vast development of sewer network construction and advances in flow measurement devices technology. Therefore, more information is available to detect flow variation through sewers in WWCS. Nevertheless use of these data helps designers to obtain real flow estimation, traditional procedures are immensely in use by engineers due to lack of such data. Recent studies have unveiled some disparities between real flow data and common empirical formulas. In this paper, empirical procedures have been compared to each other by reviewing relevant key literature. Then, results of using empirical formulas were compared with the real measured flow data from residential, commercial but industrial zones in greater Tehran and Isfahan WWCS. Consequently, significant differences between real data and empirical formulas, especially in zones with lower populations, were revealed, which demonstrated that Kmax derived from empirical formulas is not applicable for both Tehran and Isfahan cities. A design, which is based on real-measured data, was recommended and carried out for these two WWCSs.

Arash Karimzadeh

Graduate Research Assistant
University of North Carolina At Charlotte

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Omidreza Shoghli, PhD

Assistant Professor
University of North Carolina at Charlotte

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