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Estimation of combined sewer overflow discharge: a software sensor approach based on local water level measurements
Author(s) -
Malte Ahm,
Søren Liedtke Thorndahl,
Jesper Ellerbæk Nielsen,
Michael R. Rasmussen
Publication year - 2016
Publication title -
water science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.406
H-Index - 137
eISSN - 1996-9732
pISSN - 0273-1223
DOI - 10.2166/wst.2016.361
Subject(s) - combined sewer , environmental science , surface runoff , drainage , water balance , stormwater , closing (real estate) , software , hydrology (agriculture) , computer science , engineering , geotechnical engineering , ecology , biology , programming language , political science , law
Combined sewer overflow (CSO) structures are constructed to effectively discharge excess water during heavy rainfall, to protect the urban drainage system from hydraulic overload. Consequently, most CSO structures are not constructed according to basic hydraulic principles for ideal measurement weirs. It can, therefore, be a challenge to quantify the discharges from CSOs. Quantification of CSO discharges are important in relation to the increased environmental awareness of the receiving water bodies. Furthermore, CSO discharge quantification is essential for closing the rainfall-runoff mass-balance in combined sewer catchments. A closed mass-balance is an advantage for calibration of all urban drainage models based on mass-balance principles. This study presents three different software sensor concepts based on local water level sensors, which can be used to estimate CSO discharge volumes from hydraulic complex CSO structures. The three concepts were tested and verified under real practical conditions. All three concepts were accurate when compared to electromagnetic flow measurements.

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