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Description: Book cover
Using Radar-Rainfall to Improve the Characterization of the Inflow/Infiltration(I/I) Response
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Description: Book cover
Using Radar-Rainfall to Improve the Characterization of the Inflow/Infiltration(I/I) Response

Using Radar-Rainfall to Improve the Characterization of the Inflow/Infiltration(I/I) Response

Using Radar-Rainfall to Improve the Characterization of the Inflow/Infiltration(I/I) Response

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Description: Book cover
Using Radar-Rainfall to Improve the Characterization of the Inflow/Infiltration(I/I) Response
Abstract
The Metropolitan Sewer District of Greater Cincinnati (MSDGC) has developed a computer model of its wastewater collection system, referred to as the System Wide Model (SWM). The study drainage area is approximately 400 square miles, and the model includes 42,208 modeled sanitary and combined pipes. The model will be used to characterize and evaluate nearly 90 sanitary sewer overflows (SSOs) and approximately 230 Combined Sewer Overflows (CSOs), address wet-weather problems related to SSOs and CSOs, and ultimately used for real-time sewer system control evaluations. Correlating rainfall to the sewer system response, for both separate and combined sewer systems, is an integral process of the model development. The proper characterization of rainfall data is critical. This paper describes how radar-rainfall has been used to improve the characterization of the infiltration/inflow (I/I) response throughout the study area. Radar-rainfall data, calibrated with a network of ground rain gages, were used to account for the spatial variability of rainfall across the study area. This approach yielded more reliable estimates of rainfall than ground gages alone, due to the spatial variation phenomenon and systemic errors in collecting rain data from few ground gages. A comparison of the I/I response using radar-rainfall and using rainfall from the closest rain gage was made at several locations in the study area.
The Metropolitan Sewer District of Greater Cincinnati (MSDGC) has developed a computer model of its wastewater collection system, referred to as the System Wide Model (SWM). The study drainage area is approximately 400 square miles, and the model includes 42,208 modeled sanitary and combined pipes. The model will be used to characterize and evaluate nearly 90 sanitary sewer overflows (SSOs) and...
Author(s)
Derek WrideSrini VallabhaneniMi ChenRalph JohnstoneSusan MoisioR.D. Zande
SourceProceedings of the Water Environment Federation
SubjectSession 11 Modeling and Monitoring Collection System Flows
Document typeConference Paper
PublisherWater Environment Federation
Print publication date Jan, 2003
ISSN1938-6478
SICI1938-6478(20030101)2003:3L.819;1-
DOI10.2175/193864703784829588
Volume / Issue2003 / 3
Content sourceCollection Systems Conference
First / last page(s)819 - 834
Copyright2003
Word count223

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Description: Book cover
Using Radar-Rainfall to Improve the Characterization of the Inflow/Infiltration(I/I) Response
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Description: Book cover
Using Radar-Rainfall to Improve the Characterization of the Inflow/Infiltration(I/I) Response
Abstract
The Metropolitan Sewer District of Greater Cincinnati (MSDGC) has developed a computer model of its wastewater collection system, referred to as the System Wide Model (SWM). The study drainage area is approximately 400 square miles, and the model includes 42,208 modeled sanitary and combined pipes. The model will be used to characterize and evaluate nearly 90 sanitary sewer overflows (SSOs) and approximately 230 Combined Sewer Overflows (CSOs), address wet-weather problems related to SSOs and CSOs, and ultimately used for real-time sewer system control evaluations. Correlating rainfall to the sewer system response, for both separate and combined sewer systems, is an integral process of the model development. The proper characterization of rainfall data is critical. This paper describes how radar-rainfall has been used to improve the characterization of the infiltration/inflow (I/I) response throughout the study area. Radar-rainfall data, calibrated with a network of ground rain gages, were used to account for the spatial variability of rainfall across the study area. This approach yielded more reliable estimates of rainfall than ground gages alone, due to the spatial variation phenomenon and systemic errors in collecting rain data from few ground gages. A comparison of the I/I response using radar-rainfall and using rainfall from the closest rain gage was made at several locations in the study area.
The Metropolitan Sewer District of Greater Cincinnati (MSDGC) has developed a computer model of its wastewater collection system, referred to as the System Wide Model (SWM). The study drainage area is approximately 400 square miles, and the model includes 42,208 modeled sanitary and combined pipes. The model will be used to characterize and evaluate nearly 90 sanitary sewer overflows (SSOs) and...
Author(s)
Derek WrideSrini VallabhaneniMi ChenRalph JohnstoneSusan MoisioR.D. Zande
SourceProceedings of the Water Environment Federation
SubjectSession 11 Modeling and Monitoring Collection System Flows
Document typeConference Paper
PublisherWater Environment Federation
Print publication date Jan, 2003
ISSN1938-6478
SICI1938-6478(20030101)2003:3L.819;1-
DOI10.2175/193864703784829588
Volume / Issue2003 / 3
Content sourceCollection Systems Conference
First / last page(s)819 - 834
Copyright2003
Word count223

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Derek Wride# Srini Vallabhaneni# Mi Chen# Ralph Johnstone# Susan Moisio# R.D. Zande. Using Radar-Rainfall to Improve the Characterization of the Inflow/Infiltration(I/I) Response. Alexandria, VA 22314-1994, USA: Water Environment Federation, 2018. Web. 6 Jun. 2025. <https://www.accesswater.org?id=-290273CITANCHOR>.
Derek Wride# Srini Vallabhaneni# Mi Chen# Ralph Johnstone# Susan Moisio# R.D. Zande. Using Radar-Rainfall to Improve the Characterization of the Inflow/Infiltration(I/I) Response. Alexandria, VA 22314-1994, USA: Water Environment Federation, 2018. Accessed June 6, 2025. https://www.accesswater.org/?id=-290273CITANCHOR.
Derek Wride# Srini Vallabhaneni# Mi Chen# Ralph Johnstone# Susan Moisio# R.D. Zande
Using Radar-Rainfall to Improve the Characterization of the Inflow/Infiltration(I/I) Response
Access Water
Water Environment Federation
December 22, 2018
June 6, 2025
https://www.accesswater.org/?id=-290273CITANCHOR