Radar-Rainfall Technology Integration into Hydrologic and Hydraulic Modeling Projects

Vallabhaneni, Srinivas; Vieux, Baxter E.; Meeneghan, Terry

doi:10.14796/jwmm.r220-02

Cited by 11 publications

(7 citation statements)

References 11 publications

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“…When a service area covers more than several square miles, spatial/temporal variation of rainfall is significant. Capturing this variability can be achieved through a combination of radar rain gauge measurements (Vieux and Vieux, 2005), and is important for characterizing sewer flows in a hydraulic model (Vallabhaneni et al, 2003;Burgess et al, 2003). A selected period of rainfall is summed and mapped over the target area, along with rain gauge locations, as seen in Figure 2.…”

Section: Figure 1 Radar Grid Superimposed Over Flow Monitored Basins mentioning

confidence: 99%

Development of Continuous Radar Rainfall for Sewer System Modeling (1999-2011) for Columbus Ohio

Vieux¹,

Burgess²,

Zhang³

2013

proc water environ fed

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A rainfall library covering 13 years with 5-minute interval rainfall data was developed for the City of Columbus, Department of Utilities, Division of Sewerage and Drainage (DOSD) to support continuous modeling of CSO and SSO and other sewer system analysis, including analysis of spatial trends to characterize the pattern of precipitation produced by storms traveling across the service area. Modeling the collection system required realistic rainfall patterns with near continuous coverage from 1999-2011, a period during which flow monitoring data was also available (City of Columbus, 2012). To reduce sewer overflows and to develop long-term capacity planning, the powerful combination of representative rainfall with flow monitoring is helping Columbus prepare for their new direction in wet-weather system planning. Rainfallderived inflow and infiltration (RD/II) determination and continuous hydrologic/hydraulic modeling will be aided by spatially variable rainfall data that helps identify capacity problems associated with wet-weather in the City of Columbus. IntroductionDevelopment of the rainfall library involved the assembly and quality control of data from weather radar and rain gauges comprising 1,659 pixels (at a nominal 1 x 1-km resolution) at 5-minute interval for the entire period from 1999-2011. With more than a million (1,367,424) maps of 5-minute rainfall, the spatial and temporal variation of rainfall is recorded in the library on a continuous basis for modeling purposes. Since 2006, DOSD has been updating their system-wide model, called the Sewer System Capacity Model (SSCM) that includes both separate and combined sewer areas. This model is invested with high-resolution data from Supervisory Control and Data Acquisition (SCADA) that supported the SSCM model development, calibration, and validation (Burgess et al., 2012). The detailed system-wide model includes sewers 12-inches (30 cm) and larger for both the separate sanitary and combined sewer systems and tributary storm sewers. The model includes 22,740 model conduits, 22,441 model nodes, 3,821 model catchments, and is calibrated to an observed flow (depth, velocity and rate) and precipitation dataset collected during 2008 to 2009, and validated during 2010-2011. The SSCM consists of 214 flowmeter basins, including 37 combined sewer flowmeter basins. Besides

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Section: Figure 1 Radar Grid Superimposed Over Flow Monitored Basins mentioning

confidence: 99%

Development of Continuous Radar Rainfall for Sewer System Modeling (1999-2011) for Columbus Ohio

Vieux¹,

Burgess²,

Zhang³

2013

proc water environ fed

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“…A reliable set of RDII parameters is crucial to design storm modeling. More reliable rain data will generate more reliable computed sanitary flows using design storms, which are required for this project (Vallabhaneni et al, 2004).…”

Section: Incorporating Radar-rainfall Data In Pcswmmmentioning

confidence: 99%

Modeling Approach using PCSWMM to Support Infiltration/Inflow Remediation Area Studies

McGill

Barden²,

Chen

et al. 2007

JWMM

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Launching a series of sewer system inflow and infiltration (I/I) remediation projects, the City of Columbus, Ohio structured the project schedules so that the first I/I project would set the technical approach "cornerstone" of the projects to follow. In particular, it was important that the initial project develop a set of modeling tools and application approaches designed to streamline all the hydrologic and hydraulic (H/H) models and provide a consistent approach for the entire series of projects.The first I/I project is known as the Livingston/James Sewer System I/I Remediation Project. To ensure consistency and compatibility, the City established PCSWMM as the platform for all the City's I/I remediation projects. In developing the modeling approach for the first project, the City of Columbus, CDM Inc., and CHI worked together as a team to enhance and apply PCSWMM and the SWMM 4.4h computational engine to model the subject sewer system. This chapter discusses the lessons learned and the solutions that the project team developed, including several SWMM code revisions and the development of new PCSWMM routines. Each of these solutions represents valuable developments potentially applicable to other PCSWMM modeling projects.

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“…Running hydrologic models in near real-time is now technologically possible, and has been implemented in urban and in large scale river basins as described by Vieux and Bedient (2004);Vallabhaneni, et al (2005); Vieux and Vieux (2005); and Vieux et al (2003). Prediction accuracy of hydrologic models, whether lumped or distributed, benefits from comparison with observed stream flow where stream gauges exist.…”

Section: Figure 4 -One Hour Predictive Rainfall Display Called Previementioning

confidence: 99%

Real-Time Stormwater Management using Depth, Duration, Frequency Thresholds

Janek¹,

Oswald²,

Vieux³

2006

proc water environ fed

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The City of Austin (City) operates a Flood Early Warning System (FEWS) to reduce public exposure to flash flood hazards. The system is operated and maintained by the Watershed Protection and Development Review Department, Watershed Engineering Division. Advanced information and warning of urban storm water flooding is achieved by the FEWS. A critical component of the system is rainfall detection and interpretation. Radar rainfall detection and forecasting also utilizes the existing ALERT (Automated Local Evaluation in Real Time) rain gauge network. An innovative web-based hydrologic information system built upon radar hydrology and implemented in 2004 has proved to be useful during storms producing heavy precipitation and flooding. This presentation will describe the development and use of Depth, Duration, Frequency (DDF) values in near real-time.

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Radar-Rainfall Technology Integration into Hydrologic and Hydraulic Modeling Projects

Cited by 11 publications

References 11 publications

Development of Continuous Radar Rainfall for Sewer System Modeling (1999-2011) for Columbus Ohio

Development of Continuous Radar Rainfall for Sewer System Modeling (1999-2011) for Columbus Ohio

Modeling Approach using PCSWMM to Support Infiltration/Inflow Remediation Area Studies

Real-Time Stormwater Management using Depth, Duration, Frequency Thresholds

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