Intelligent Control River Flooding

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    Towards the Intelligent

    Control of River Flooding

    1

    Arturo Leon

    School of Civil and Construction Engineering

    Oregon State University

    X Congreso Latinoamericano de Estudiantes de Ingenieria Civil - XXII Congreso

    Nacional de Estudiantes de Ingenieria Civil del Per, August 4-8, 2014.

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    SCADA-type

    control

    Wetland

    s

    Rain

    Siphonsystem

    Controlled

    release

    DSSControl

    center

    SCADA-type

    control

    Reservoir

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    Need of Real-time Control in RiverManagement

    3

    Q

    t

    Availablestorage

    Dam C

    Dam B

    Dam A

    High risk

    Medium riskLow risk

    Reach 1

    Reach 2

    Reach 3

    Reach 4

    Medium risk

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    SiphonSystem

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    Optimization component

    1. Hybrid (GA + local search methods)

    2. Parallelized optimization

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    Hydraulics component

    Hydraulic Performance Graph (HPG)

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    QrightQdow

    n

    Qup

    Qleft

    x

    y

    x

    y

    Grid

    Interface

    Inundation Modeling

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    Rating Performance Graph

    A different RPG for each vertical

    position of gates.

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    THEEXPANDEDSMALLSCALEPHYSICALMODEL 2014 SOC

    9/19/2014

    Digital projection of physical model of Mississippi

    River at Louisiana State University (LSU)

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    Three-dimensional router

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    THEEXPANDEDSMALLSCALEPHYSICALMODEL 2014 SOC

    9/19/2014

    Guinea Pig Model

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    THEEXPANDEDSMALLSCALEPHYSICALMODEL 2014 SOC

    Scaling

    Geometric

    Horizontal - 1:6000

    Vertical -1:400

    Distortion - versus 15

    Froude scaling

    Shield Scaling / Incipient Motion

    Re scaling (For conditions with suspended sediment) 7000 12,000

    Domain

    14,000 Sq. mi9/19/2014

    The Physical Model at LSU

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    Geometric Scaling

    Lr=

    Lp

    Lm

    yr=

    yp

    ym

    =

    Lr

    yr=

    6000

    400=15

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    Limits of Dynamic Scaling

    Exact similitude of all force ratios in hydraulic models isimpossible except at full scale.

    Reynolds-number independence. As long as Re is high enough in both the prototype and experimental

    systems, its exact value does not strongly influence the overalldynamics.

    At a minimum, high enough is taken to mean that the small-scale flow

    is fully turbulent.

    Rem=4 V

    m

    Rm

    Rem 7500 10,000

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    3D Modeling

    Distortion Horizontal scaleVertical

    scaleFlow rate (ft3/s)

    15 6000 400 0.017

    7.5 3000 400 0.034

    5 2000 400 0.051

    Numerical computations were carried out with three distortion scales of 15, 7.5 and 5.

    A flow rate of ~800,000 ft3/s in the prototype was scaled for and used as an inflow

    boundary condition.

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    3D ModelingHorizontal Velocity

    Profiles

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    3D ModelingHorizontal

    Velocity

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    3D ModelingVertical Velocity

    Profiles

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    3D Modeling - velocity magnitudes

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    3D ModelingReynoldsstresses

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    3D Modelingvorticity

    magnitude

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    Many thanks for your attention!

    Contact:Arturo Leon

    School of Civil and Construction Engineering,Oregon State UniversityE-mail:[email protected] Web page:http://web.engr.oregonstate.edu/~leon

    22

    mailto:[email protected]://web.engr.oregonstate.edu/~leonhttp://web.engr.oregonstate.edu/~leonmailto:[email protected]