scholarly journals PARAMETER IDENTIFICATION OF RUNOFF MODEL USING RAINFALL AND WATER-LEVEL DATA

2006 ◽  
Vol 50 ◽  
pp. 355-360 ◽  
Author(s):  
Takao TAMURA ◽  
Michio HASHINO ◽  
Daiki TACHIBANA
Keyword(s):  
Parameter Identification ◽  
Water Level ◽  
Level Data ◽  
Water Level Data ◽  
Runoff Model

A software-based sensor for combined sewer overflows

2012 ◽  
Vol 66 (7) ◽  
pp. 1475-1482 ◽  
Author(s):  
G. Leonhardt ◽  
S. Fach ◽  
C. Engelhard ◽  
H. Kinzel ◽  
W. Rauch
Keyword(s):  
Water Level ◽  
Simulation Models ◽  
Rainfall Runoff ◽  
Combined Sewer Overflows ◽  
Quality Model ◽  
Level Data ◽  
Water Level Data ◽  
Combined Sewer ◽  
Rainfall Runoff Model ◽  
Runoff Model

A new methodology for online estimation of excess flow from combined sewer overflow (CSO) structures based on simulation models is presented. If sufficient flow and water level data from the sewer system is available, no rainfall data are needed to run the model. An inverse rainfall-runoff model was developed to simulate net rainfall based on flow and water level data. Excess flow at all CSO structures in a catchment can then be simulated with a rainfall-runoff model. The method is applied to a case study and results show that the inverse rainfall-runoff model can be used instead of missing rain gauges. Online operation is ensured by software providing an interface to the SCADA-system of the operator and controlling the model. A water quality model could be included to simulate also pollutant concentrations in the excess flow.

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