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Impacts of Rainfall Data on Model Refinement in Greater Pittsburgh

Terry Meeneghan, Mark Loehlein, Robert E. Dickinson and Tim Prevost (2003)
Camp Dresser & McKee, USA
Alcosan, USA
DOI: https://doi.org/10.14796/JWMM.R215-10
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Abstract

The demand for large-scale watershed and sewershed planning studies in the United States has been increasing steadily over the past ten years. In large part, the demand is driven by major government programs regulating combined sewer overflows, sanitary sewer overflows, and storm water discharges. The implementation of these regulatory programs often results in local or regional public agencies embarking upon large multi-year studies requiring a comprehensive inventory of watershed and sewershed infrastructure, a characterization of the hydrologic and hydraulic function of that infrastructure, and analyses of the water-polluting elements and processes. Significant monetary investments are being made into comprehensive field investigations and surveys, hydrologic and hydraulic models, and regional facilities planning to develop and implement short- and long-term combined sewer overflow (CSO) and sanitary sewer overflow (SSO) control strategies. The amount and rate of rainfall and snowfall are the key driving force in the quantity of extraneous flow that enters public sewers and private service laterals and the frequency and duration of wastewater discharges into receiving water bodies. However, it is not uncommon to observe that disproportionately small investments are being made to improve the precision and accuracy of regional rainfall measurement.

It has been demonstrated and documented in cities throughout the United States and around the world that calibrated radar-rainfall systems can provide accurate and precise rainfall measurement for large geographic areas. However, quantitative evaluations are relatively sparse that document whether enhanced rainfall measurement in fact translates to improved flow simulation performance from hydraulic/hydrologic models. The Saw Mill Run sewershed project at Pittsburgh, Pennsylvania provided a unique opportunity to characterize and quantify the impacts of improved precipitation estimates on the accuracy and reliability of model simulations for storm water runoff, wastewater flow, and CSO/SSO volumes. Four alternative rainfall data sources were input into the model and subsequently evaluated:

1) the regional long-term record gauge, located at the Pittsburgh International Airport, approximately 12 mi (19 km) away from the Saw Mill Run sewershed;

2) the nearest short- term gauge, located in the Saw Mill Run sewershed;

3) a dense network of 5 gauges, located in and around the study sewershed; and

4) a calibrated radar-rainfall system, with a pixel resolution of 1 km2.

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PAPER INFO

Identification

CHI ref #: R215-10 952
Volume: 11
DOI: https://doi.org/10.14796/JWMM.R215-10
Cite as: JWMM 11: R215-10

Publication History

Received: N/A
First decision: N/A
Accepted: N/A
Published: February 15, 2003

Status

# reviewers: 2
Version: Final published

Copyright

© 2003 CHI.
Some rights reserved.

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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

The Journal of Water Management Modeling is an open-access (OA) publication. Open access means that articles and papers are available without barriers to all who could benefit from them. Practically speaking, all published works will be available to a worldwide audience, free, immediately on publication. As such, JWMM can be considered a Diamond, Gratis OA journal.

All papers published in the JWMM are licensed under a Creative Commons Attribution 4.0 International License (CC BY).

JWMM content can be downloaded, printed, copied, distributed, and linked-to, when providing full attribution to both the author/s and JWMM.


AUTHORS

Terry Meeneghan

Camp Dresser & McKee, Pittsburgh, PA, USA
ORCiD:

Mark Loehlein

Camp Dresser & McKee, Pittsburgh, PA, USA
ORCiD:

Robert E. Dickinson

Camp Dresser & McKee, Tampa, FL, USA
ORCiD:

Tim Prevost

Alcosan, Pittsburgh, PA, USA
ORCiD:


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