Record Display for the EPA National Library Catalog


Main Title Procedures for estimating dry weather sewage in-line pollutant deposition, phase II /
Author Pisano, William C.
Other Authors
Author Title of a Work
Queiroz, Celso Silveira.
Publisher Environmental Protection Agency, Office of Research and Development, Municipal Environmental Research Laboratory,
Year Published 1984
Report Number EPA/600-S2-84-020
OCLC Number 589437360
Subjects Combined sewers
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
EJBD  EPA 600-S2-84-020 In Binder Headquarters Library/Washington,DC 08/03/2018
ELBD ARCHIVE EPA 600-S2-84-020 In Binder Received from HQ AWBERC Library/Cincinnati,OH 10/04/2023
Caption title. "Mar. 1984." At head of title: Project summary. "EPA/600-S2-84-020."
Contents Notes
"Planners, engineers, and municipal managers are given generalized procedures/equations to estimate the amount of pollutants deposited in combined sewer systems during dry weather so they can make intelligent decisions about sewer flushing programs and other combined sewer management controls. The predictive equations relate the total daily mass of accumulated pollutants deposited within a collection system to the physical characteristics of collection systems such as per capita waste rate, service area, total pipe length, average pipe slope, average diameter, and other more complicated parameters that derive from analysis of pipe slope characteristics. Several other predictive equations that can be used with different available data and user resources are given. Pollutant parameters include suspended solids, volatile suspended solids, biochemical oxygen demand, chemical oxygen demand, total organic nitrogen, and total phosphorous. The equations were developed from data assembled from three major sewage systems in eastern Massachusetts and from a portion of the combined sewer system in the eastern district of Cleveland. This study was an extension of earlier work; broader data was used here to prepare the predictive relationships."