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    Trinity River Authority

    18论文总数
    48引用总数

    The Trinity River Authority (TRA) was formed in 1955 by the Texas legislature. Its main concerns are water supply and water conservation in the Trinity River Basin. The authority extends over 17,965 square miles (46,529 km2), including all or part of 17 counties. The general offices of the authority are located in Arlington, Texas..

    论文量&引用量时间轴

    机构学者

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    Leon S. Downing
    Leon S. Downing
    Department of Civil Engineering and Geological Sciences, University of Notre Dame
    论文:3引用:0H-index:0
    Tom Jacobs
    Tom Jacobs
    Trinity River Authority of Texas
    论文:3引用:0H-index:0
    Mike Young
    Mike Young
    Trinity River Authority of Texas Central Regional Wastewater System (TRA CRWS)
    论文:2引用:0H-index:0
    Eric Redmond
    Eric Redmond
    Black & Veatch, Water Technology Group USA Patrick.mcnamara@marquette.edu DowningL@BV.com
    论文:2引用:0H-index:0
    Andrew Labay
    Andrew Labay
    Trinity River Authority of Texas
    论文:1引用:0H-index:0
    Ka-Leung Lee
    Ka-Leung Lee
    Center for Research in Water Resources, University of Texas at Austin
    论文:1引用:0H-index:0
    Jay M. Rosenberger
    Jay M. Rosenberger
    University of Texas at Arlington
    论文:1引用:0H-index:0
    W.H. Espey
    W.H. Espey
    TRACOR, Inc
    论文:1引用:0H-index:0
    Paul Jensen
    Paul Jensen
    Trinity River Authority of Texas
    论文:1引用:0H-index:0

    论文(18)

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    1Optimizing Water Supply Through Reservoir Conversion and Storage of Return Flow- A Case Study at Joe Pool Lake
    Srividya Sekar,Amin Daghighi,Victoria Chen, Glenn Clingenpeel, Yu Zhang,Jay Michael Rosenberger,Azam Boskabadi

    Maintaining an adequate water supply is one of the key challenges faced by the Dallas-Fort Worth Metroplex, where increasing population and rising water demand have elevated the vulnerability of the communities to water shortages. In this paper, we conducted a preliminary study exploring the possibility of converting flood storage in the Joe Pool Lake (JPL) as a means to improve water supply reliability and achieve better cost efficiency. This study employs a mixed integer linear programming (MILP) approach that considers the costs of meeting conversion demand and supply requirements over the northern portion of the Trinity River Basin. It includes trade-offs between capturing and storing natural flow versus return flow from the treatment facilities of the Trinity River Authority (TRA). A set of hypothetical prices and demand figures with the record drought of 1940-1996 considered to test the LP model. The optimal strategy yields expansion of JPL and associated storage-diversion on an annual basis. Also, the outcomes of the analyses suggest that, while the conversion would have a positive impact on water availability, storing the return flow might not produce sufficient cost savings; unless higher prices were imposed on the stored-return flow.

    2022Texas Water Journal(2022)
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    2Asset Management – Small Steps Can Achieve Great Results
    John Rice, Julia J Hunt, Matthew S Jalbert, David Brewster
    2018Proceedings of the Water Environment Federation(2018)
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    3Taking Highly Effective Asset Management to New Heights
    Matthew S Jalbert, Julia J Hunt, David Brewster
    2018Proceedings of the Water Environment Federation(2018)
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    4Enabling Success in Enterprise Asset Management: Case Study for Developing and Integrating GIS with CMMS for a Large WWTP
    Allison Blake,Matthew Jalbert, Julia J Hunt, Mazen Kawasmi, Nancy Lerner
    2018Proceedings of the Water Environment Federation(2018)
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    5Proactively Monitoring and Managing Odors Using Real-Time Odor Plume Prediction
    Charlotte G Smith, Steven Daniels

    The Trinity River Authority Central Regional Wastewater System (CRWS) retained Perkins Engineering Consultants, Inc. to research, specify and assist with procurement of a real-time odor plume prediction system. The real-time model is used to monitor the CRWS odor production and as a tool for assessing strategies for reducing the CRWS odor footprint. The real-time odor plume prediction system was designed to achieve the following objectives:  Use field-measured odor and atmospheric values, along with programmed fixed emission values for selected processes, to project, on a real-time basis, and to continuously record, in a graphic format, the projected intensity and locations of impact of odors from the CRWS facility.  Notify staff when odors approach or exceed predetermined levels at selected locations on or off the plant site.  Provide information to be used in evaluating the potential effectiveness of alternative strategies for preventing or reducing odors perceived offsite.  Provide information to project the estimated intensity and frequency of odors experienced by the traveling public on Interstate 30 south of and other selected receptor locations.  Provide a model to help with optimization of odor control chemical feed in reducing the probable off-site odor impact. An odor dispersion model predicts the intensity, frequency, and spatial extent of nuisance odors generated by the treatment facilities. Continuous monitoring and modeling systems display odor isopleths in real-time based on live atmospheric data. Real-time odor plume prediction systems can use onsite continuous measurement sensors correlated to odor units (OU) and an onsite weather station as input to calculate the resulting odor plume. The number of onsite sensors depends on the size of the facility and available budget. The features, capabilities, and limitations of real-time odor plume prediction systems as well as lessons learned through the procurement of a real-time model for the CRWS facility are discussed later in this paper.

    2018Proceedings of the Water Environment Federation(2018)
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    合作机构(5)

    CH2M Hill合作论文 3
    Black & Veatch合作论文 2
    CDM Smith Inc.合作论文 2
    爱荷华州立大学合作论文 1
    德州大学阿灵顿分校合作论文 1

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