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    Global Water Crisis and Climate Change 

    Source: Journal of Hydrologic Engineering:;2010:;Volume ( 015 ):;issue: 003
    Author(s): Miguel A. Medina Jr.
    Publisher: American Society of Civil Engineers
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    Kinematic and Diffusion Waves: Analytical and Numerical Solutions to Overland and Channel Flow 

    Source: Journal of Hydraulic Engineering:;2007:;Volume ( 133 ):;issue: 002
    Author(s): Cevza Melek Kazezyılmaz-Alhan; Miguel A. Medina Jr.
    Publisher: American Society of Civil Engineers
    Abstract: Flood wave propagation is the unifying concept in representing open channel and overland flow. Therefore, understanding flood wave routing theory and solving the governing equations accurately is an important issue in ...
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    Coupling High-Resolution Acoustic Sensor Measurements with Analytical and Numerical Porous Media Solute Transport Modeling 

    Source: Journal of Hydrologic Engineering:;2011:;Volume ( 016 ):;issue: 004
    Author(s): Miguel A. Medina Jr.; Anjani Achanta; Joseph Heyman; Drew Haerer
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents the development of a novel acoustic sensor that enhances Doppler approaches to monitor groundwater vector flow. The technique is based on a high-resolution acoustic phase measurement: flowing water ...
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    Closure to “<i>Modeling Stormwater Storage/Treatment Transients: Theory</i>” by Miguel A. Medina, Jr., Wayne C. Huber, and James P. Heaney (August, 1981) 

    Source: Journal of Environmental Engineering:;1983:;Volume ( 109 ):;issue: 001
    Author(s): Miguel A. Medina, Jr.; Wayne C. Huber; James P. Heaney
    Publisher: American Society of Civil Engineers
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    Chance Constrained Model for Storm-Water System Design and Rehabilitation 

    Source: Journal of Water Resources Planning and Management:;1997:;Volume ( 123 ):;issue: 003
    Author(s): Timothy L. Jacobs; Miguel A. Medina Jr.; Jane T. Ho
    Publisher: American Society of Civil Engineers
    Abstract: A mixed integer chance constrained optimization model was developed to determine design and rehabilitation management strategies for storm-water drainage systems conditioned on the likelihood of exceeding the system's ...
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    Modeling and Debugging Engineering Decision Procedures with Machine Learning 

    Source: Journal of Computing in Civil Engineering:;1996:;Volume ( 010 ):;issue: 002
    Author(s): Yoram Reich; Miguel A. Medina Jr.; Tung-Ying Shieh; Timothy L. Jacobs
    Publisher: American Society of Civil Engineers
    Abstract: This paper reports on the use of machine learning programs for modeling existing engineering decision procedures. In this acitivity, different models of a decision procedure are constructed by using different machine ...
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    Flood Nonstationarity in the Southeast and Mid-Atlantic Regions of the United States 

    Source: Journal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 010
    Author(s): Ana P. Barros; Yajuan Duan; Julien Brun; Miguel A. Medina Jr.,
    Publisher: American Society of Civil Engineers
    Abstract: A case study examining aspects of nonstationarity in the estimation of flood magnitudes in the Southeast and mid-Atlantic United States is presented here. The focus is on challenges posed by changes in the number and ...
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