chap 8 hydrological forecasting (msma) 1213-1

Upload: liew-sam-tat

Post on 03-Jun-2018

225 views

Category:

Documents


0 download

TRANSCRIPT

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    1/40

    CHAPTER 8

    HYDROLOGICAL FORECASTING

    (Flood/Flow Estimation)

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    2/40

    COURSE OUTCOME:

    Estimatepeak discharge andproposeurban

    drainage dimensions using MSMA(UrbanStormwater Management Manual for Malaysia)

    and Probability Distribution.

    Lesson Outcomes:

    Estimate the peak discharge using MSMA

    Propose dimension of drainage system Calculate and estimate the peak discharge

    using probability distribution

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    3/40

    Introduction Hydrological forecasting is important to

    estimateand manage all event related toflood.

    Flood forecasting is the use of real time

    precipitation and streamflow data in rainfall-runoff and streamflow routing modelsto

    forecast flow rates and water levelsfor

    periods ranging from a few hours to days

    ahead, depending on the size of thewatershed or river basin.

    Its can forecast the effects of urbanization

    on runoff from undeveloped watershed.

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    4/40

    Flood Control

    Structural Methods

    Flood Control Reservoir Detention/Retention Pond

    Dam

    Channel Modification & Environmental Impacts

    Swales

    Diversion Channels, Levees & By Pass Channels

    Increased Infiltration

    To increase the amount of previous area wherever

    possible

    Example; Porous parking lots through the use of

    concrete block or similar shapes laid such as water

    can infiltrate trough the soil-filled center.

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    5/40

    Detention Pond

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    6/40

    Retention Pond

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    7/40

    Flood Control Structure

    Placing control structures in a river system is a management technique used

    to mitigate flooding associated with periods of heavy rainfall.

    While this approach helps to reduce flooding in urban and agricultural areas,

    flow patterns in the vicinity of a control structure can jeopardize its stability.

    In the example to the right, local flow patterns have caused scour to occur in

    the channel used to convey flood flows.

    Dam

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    8/40

    Swale

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    9/40

    Nonstructural Methods

    Flood proofing Flood warning mechanisms

    Land use controls such as zoning &

    development ordinances

    Flood insurance programs

    Flood preparedness activities

    Public awareness & education programs

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    10/40

    Methods

    There are several methods to estimate

    flood or flow rate such as;

    Empirical Formula Rational Method

    Frequency Analysis

    Normal Distribution Extreme Gumbel

    Log Pearson Type III

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    11/40

    Empirical Formula

    Q = CAn

    Q = Flood discharge (m

    3

    /s)A = Area of catchment (km2)

    n = Index (0.5 1.25)

    C = Coefficient (wheather and catchment)

    log Q = log C + n log A

    need many catchment

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    12/40

    Rational Method

    Calculate Peak Flow

    Qp= CIA

    Qp

    = the peak runoff rate

    C = the runoff coefficient (assumed to dimensionless)

    I = The average rainfall intensity for a storm

    with a duration equal to a critical periodof the time tc

    A = the size of the drainage area

    tc

    = the time of concentration

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    13/40

    Rational Method

    Useful for small, usually urban, watersheds(

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    14/40

    Runoff Coefficient

    Coefficient that

    represents the

    fraction of runoff

    to rainfall

    Depends on typeof surface

    Iowa DOT Design Manual, Chapter 4, The Rational Method

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    15/40

    Runoff Coefficient

    Iowa DOT Design Manual, Chapter 4, The Rational Method

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    16/40

    Runoff Coefficient

    Iowa DOT Design Manual, Chapter 4, The Rational Method

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    17/40

    Runoff Coefficient

    When a drainage area has distinct partswith different C

    Used weighted average

    C = C1A1+ C2A2+ .. + CnAn

    Ai

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    18/40

    Average Recurrence Interval, ARI(Design Event)

    2 ARI-- Design of intakes and spread ofwater on pavement for primary highways andcity streets

    10 ARI-- Design of intakes and spread ofwater on pavement for freeways andinterstate highways

    50 ARI-- Design of subways (underpasses)

    and sag vertical curves where storm sewerpipe is the only outlet 100 ARI-- Major storm check on all projects

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    19/40

    Intensity

    Average intensity for a selectedfrequency and duration

    Based on design event (i.e. 50-yearstorm)

    Overdesign is costly

    Underdesign may be inadequateDuration

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    20/40

    Time of Concentration (tc)

    Time for water to flow fromhydraulically most distance point on the

    watershed to the point of interest

    tc= to+ td (MASMA)

    to= time of overland flow

    td= time of flow in drain

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    21/40

    Time of Concentration (tc)

    Depends on:

    Size and shape of drainage area

    Type of surface Slope of drainage area

    Rainfall intensity

    Whether flow is entirely overland orwhether some is channelized

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    22/40

    Rational Method using MASMA

    One of the most frequently used urbanhydrology methods in Malaysia (simplicity)

    It gives satisfactory results for smallcatchment (up to 80 hectares)

    Qy= C yI

    tA

    360 Q

    y= y year ARI peak flow (m3/s)

    C = dimensionless runoff coefficient

    yI

    t= y year ARI average rainfall intensity over time

    of concentration, tc(mm/hr)

    A = drainage area (ha)

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    23/40

    Assumption

    1. The peak flow occurs when the entirecatchment is contributing to the flow

    2. The rainfall intensity is the same over theentire catchment area

    3. The rainfall intensity is uniform over a timeduration equal to the time of concentration, tc

    4. The ARI of the computed peak flow is thesame as that of the rainfall intensity

    i.e. A 5 year ARI rainfall intensity will producea 5 year ARI peak flow

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    24/40

    Not recommended

    the catchment area is greater than 80hectares

    ponding of stormwater in the catchment mightaffect peak discharge

    the design and operation of large (and hencemore costly) drainage facilities is to be

    undertaken, particularly if they involvestorage

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    25/40

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    26/40

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    27/40

    4. Determine average rainfall intensity,yIt

    - calculate yItfor design ARI of y years and

    durat ion t equal to the t ime of concentrat ion,

    from IDF data for area of interest

    - Refer equati on 13.1and 13.3, Table 13.A1and

    13.3, Figu re 13.3

    5. Estimate runoff coefficients

    - estimate C values fo r each segm ent if there are

    dif ferent land covers- Design Chart 14.3 and 14.4

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    28/40

    6. Calculate average runoff coefficientC

    avg= C

    iA

    i

    Ai

    7. Calculate peak flow rate from equation

    Qy= C yI

    tA

    360

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    29/40

    Example 1

    Determine the design peak

    for flow generated from a

    minor drainage of medium

    density residential area of

    10 hectares in KualaLumpur. Assume 80 m of

    overland flow followed by

    400 m of flow in an open

    drain. Catchment area

    average slope = 0.5%. The

    catchment is shown.

    Catchmentarea 10 ha

    Main drain

    River

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    30/40

    Solution

    Step 1: Determine tc

    Step 2: Determine I and C

    ln(I) = a + b ln t + c (ln t)2+ d (ln t)3 Eqn. 13.3

    Pd= P30FD(P60 - P30) Eqn. 13.3

    I = Pd/ d Eqn. 13.4

    Step 3: Determine Qp

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    31/40

    Exercise 1

    The catchments area in Melaka Townhas two different characteristics shown

    in figure. Determine the total design

    peak flow generated from minordrainage for the whole catchments.

    Average velocity in open drain is 1.0

    m/s and average slope is 1.0%.

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    32/40

    E i 2

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    33/40

    Exercise 2

    The catchments in rural area at KualaPilah, Negeri Sembilan has two different

    areas shown in figure. Determine the

    design peak flow generated from minordrainage for Area A and major drainage

    for Area B. The average velocity in

    open drain is 1.0 m/s and the averageslope is 0.5%.

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    34/40

    Data for whole catchment

    Overland flow = 100 m

    Flow in Drain = 450 m

    Low Density Residential

    Surface: Poorly grassed

    Area A = 5 ha

    Medium Soil - Forest

    Area B = 10 ha

    Sandy Soil- Forest

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    35/40

    Most effective cross section

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    36/40

    Most effective cross section

    The one that will have the greatest

    capacity for a given slope, area androughness.

    If these parameter constant, velocity will

    be greatest when the wetted perimeteris smallest.

    The most efficient (effective) is the most

    economical. Semicircular smallest wetted

    perimeter

    M t ff ti ti

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    37/40

    Most effective cross section

    The most efficient cross section happened

    when:

    Flow rate(Q) is maximum

    Slope(S) constantso hydraulics radius(R) is

    maximumand wetted perimeter(P) isminimum

    dP = 0

    dy

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    38/40

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    39/40

    Example 2

    Using the design peak discharge from

    Example 1, propose the dimensions of

    rectangular drainage with freeboard which

    is 5% from water depth.

    E i 3

  • 8/12/2019 Chap 8 Hydrological Forecasting (MSMA) 1213-1

    40/40

    Exercise 3

    Using the design peak discharge from

    Exercise 1, propose the dimensions ofrectangular drainage with freeboard

    which is 5% from water depth.