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dc.contributor.authorRobert B. Sowby
dc.contributor.authorDaniel R. Jones
dc.date.accessioned2022-05-07T20:59:12Z
dc.date.available2022-05-07T20:59:12Z
dc.date.issued2021-11-12
dc.identifier.other(ASCE)EE.1943-7870.0001962.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4283156
dc.description.abstractBesides collecting legitimate wastewater, municipal sanitary sewer systems, even when separated from storm sewer systems, also receive unwanted inflow and infiltration (I/I) that adversely impact their sizing, economics, and operation. Although several statistical models have been proposed to quantify I/I, their advanced methods and intricate data requirements may be unrealistic for practitioners who need to investigate I/I for individual sewer systems. Here, a practical regression model of daily sewer flow is developed with discrete terms for sanitary flow (based on winter water use), groundwater infiltration (based on sinusoidal seasonality), direct inflow (based on same-day precipitation), and delayed inflow (based on multiday moving-average precipitation). The terms are intuitive and the model performs well with flow observations from a case study. The model can help practitioners separate I/I from other wastewater flows, customize measures to control I/I, and improve sewer system performance.
dc.publisherASCE
dc.titleA Practical Statistical Method to Differentiate Inflow and Infiltration in Sanitary Sewer Systems
dc.typeJournal Paper
dc.journal.volume148
dc.journal.issue1
dc.journal.titleJournal of Environmental Engineering
dc.identifier.doi10.1061/(ASCE)EE.1943-7870.0001962
dc.journal.fristpage06021006
dc.journal.lastpage06021006-7
dc.page7
dc.treeJournal of Environmental Engineering:;2021:;Volume ( 148 ):;issue: 001
dc.contenttypeFulltext


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