Top Banner

of 31

FYP Slides

Jun 01, 2018

Download

Documents

Le Thu Hien
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
  • 8/9/2019 FYP Slides

    1/31

    Presented by LE THU HIEN

    Environmental Engineering

    November 11, 2009

    Nanyang Technological University

    School of Civil and Environmental Engineering

    FINAL YEAR PR!ECT

    Prediction of

    Total Bed-Material Load

    in Alluvial Streams

  • 8/9/2019 FYP Slides

    2/31

  • 8/9/2019 FYP Slides

    3/31

    INTRODUCTION

    BACK GROUND

    Sediment transport is known as one o many problems to

    rivers and natural streams

    Monitoring the eect o sediment discharge on alluvial

    stream is a challenge to many scientists and engineers

    Modeling and orecasting the sediment rate in rivers is animportant stage

    Le Thu Hien

  • 8/9/2019 FYP Slides

    4/31

    INTRODUCTION

    OBJECTIVE !ormulate an e"uation to predict the rate o

    sediment discharge in alluvial streams

    Minimi#e the inaccuracy and amend any

    unreliable assumptions o other previous studies

    Le Thu Hien

  • 8/9/2019 FYP Slides

    5/31

    PASTSTUD

    SEDIMENT DISCHARGE RATE

    Indirect definition

    $he sum o two separated elements% bed load andsuspended load

    "irect definition

    Consider $otal &ed Material 'oad ($&M') as the

    most signiicant part *ash load is neglected in natural rivers

    Le Thu Hien

  • 8/9/2019 FYP Slides

    6/31

    PASTSTUD

    Sediment discharge vs#

    Flo$ discharge Discontinuous

    Double valued

    Sediment discharge vs#

    %ean &elocity Continuous

    Single valued

    Le Thu Hien

  • 8/9/2019 FYP Slides

    7/31

    PASTSTUD

    'ennedy ( 'arim)s *rediction model

    Pro+lems

    Unrelia+le *arameters

    Ins,fficient data so,rce

    Ina**ro*riate ass,m*tions

    Le Thu Hien

  • 8/9/2019 FYP Slides

    8/31

    M!T"ODOLO#

    Dimensional Analysis

    Regression Analysis

    Evaluation and Discussion

    Le Thu Hien

  • 8/9/2019 FYP Slides

    9/31

    DATASOURC!S

    Collected by *illiam R+ &rownlie rom ield

    investigation

    ,ncluding -. lows and /01. records

    Sediment discharge rate was given in orm o

    Cppm 23s4(3s 5 3) and can be obtained by

    Le Thu Hien

  • 8/9/2019 FYP Slides

    10/31

    DIM!NSIONALANALSIS

    Le Thu Hien

  • 8/9/2019 FYP Slides

    11/31

    DIM!NSIONALANALSIS

    Selection of parameter

    Physical consideration

    Mean velocity should be used instead o *ater discharge

    *ater 6 sediments inter6relationship should be taken into

    consideration

    Stream power includes the incipient motion7 which is not

    a reliable actor should be discarded

    Le Thu Hien

  • 8/9/2019 FYP Slides

    12/31

    DIM!NSIONALANALSIS

    Le Thu Hien

  • 8/9/2019 FYP Slides

    13/31

    DIM!NSIONALANALSIS

    Selection of parameter

    Regression conditions

    8igh correlation between dependent variable and

    independent variables

    'ow correlation between independent variables

    Le Thu Hien

  • 8/9/2019 FYP Slides

    14/31

    DIM!NSIONALANALSIS

    Correlation +et$een varia+les

    Le Thu Hien

  • 8/9/2019 FYP Slides

    15/31

    DIM!NSIONALANALSIS

    Selection of parameter

    Chosen parameters

    Dependent% P-9 ,ndependent% (P-7 P.7 P: )

    (P-7 P; 7 P: )

    (P07 P.7 P: )

    (P07 P; 7 P: )

    Correlation was ound in each data set at

    speciic location

    Le Thu Hien

  • 8/9/2019 FYP Slides

    16/31

    DIM!NSIONALANALSIS

    Selection of parameter

    Correlation was computed in each data set at

    speciic location

    Le Thu Hien

  • 8/9/2019 FYP Slides

    17/31

    R!#R!SSIONANALSIS

  • 8/9/2019 FYP Slides

    18/31

    R!#R!SSIONANALSIS

    $hree approaches

    Regression on all data

    Regression on data at speciic location

    Regression on all data with the neglection o

    abnormal and unreliable value

    Le Thu Hien

  • 8/9/2019 FYP Slides

    19/31

    R!#R!SSIONANALSIS

    Approac! "#

    Regression on all data

    %odel -% ln(P-9) 2 >95 >/ln(P.) 5 >-ln(P/) 5 >?ln(P0)

    %odel .% ln(P-9) 2 >95 >/ln(P.) 5 >-ln(P/) 5 >?ln(P0) 5 >.ln(P.) @ ln(P/)

    %odel 1% ln(P-9) 2 >95 >/ln(P.) 5 >-ln(P/) 5 >?ln(P0) 5 >;ln(P/) @ ln(P0)

    %odel /% ln(P-9) 2 >95 >/ln(P.) 5 >-ln(P/) 5 >?ln(P0) 5 >1ln(P0) @ ln(P.)

    %odel 2% ln(P-9) 2 >95 >/ln(P.) 5 >-ln(P/) 5 >?ln(P0) 5 >0ln(P.) @ ln(P/) @ ln(P0)

    %odel 3% ln(P-9) 2 >95 >/ln(P.) 5 >-ln(P/) 5 >?ln(P0)

    5 >.ln(P.) @ ln(P/) 5 >;ln(P/) @ ln(P0) 5 >1ln(P0) @ ln(P.)

    5 >0ln(P.) @ ln(P/) @ ln(P0) Le Thu Hien

  • 8/9/2019 FYP Slides

    20/31

    R!#R!SSIONANALSIS

    Le Thu Hien

  • 8/9/2019 FYP Slides

    21/31

    R!#R!SSIONANALSIS

    Le Thu Hien

  • 8/9/2019 FYP Slides

    22/31

    R!#R!SSIONANALSIS

    Approac! $#

    Regression on data at s*ecific location

  • 8/9/2019 FYP Slides

    23/31

    R!#R!SSIONANALSIS

    Le Thu Hien

  • 8/9/2019 FYP Slides

    24/31

    R!#R!SSIONANALSIS

    Approac! %#

    Regression on all data e4ce*t for a+normal and

    ,nrelia+le records

    Data set . and -? are discarded

    Some o abnormal points picked rom the previous

    graph are also ignored

    Le Thu Hien

  • 8/9/2019 FYP Slides

    25/31

    R!#R!SSIONANALSIS

    Le Thu Hien

  • 8/9/2019 FYP Slides

    26/31

    !$ALUATION % COMPARISON

    RESU&TS Coeicients are almost consistent in magnitude and signs

    8igh reliability and itness% very high R6s"uare value

    Le Thu Hien

  • 8/9/2019 FYP Slides

    27/31

    !$ALUATION % COMPARISON

    DISCUSSION All models could be used to predict sediment discharge

    Approach - is less accurate compared to other two

    Approach ? can discard abnormal records and limit thesmaller range

    A**roach - A**roach . Le Thu HienA**roach 1

  • 8/9/2019 FYP Slides

    28/31

    !$ALUATION % COMPARISON

    RECOMMENDATIONS

    Model ? is most suitable and reliable to use in normal

    cases

    8igh accurate range applied to the model% P-9 rom

    (6?+; ;+9)

    Errors o measurement made by human and e"uipments

    should be avoided as much as possible to increase thereliability o prediction

    Le Thu Hien

  • 8/9/2019 FYP Slides

    29/31

    !$ALUATION % COMPARISON

    comparion

    'ennedy ( 'arim )s *rediction

    Same physical consideration% Mean velocity7 Shear

    velocity B sediment si#e

    Critical shear velocity eceed the mean velocity7 make the

    regression terms not applicable to use

    Le Thu Hien

  • 8/9/2019 FYP Slides

    30/31

    CONCLUSION

    A model of sediment load has +een com*,ted $o help civil and hydraulic engineers to predict the sediment

    discharge in natural systems

    $o be a tool in urther design and controlling o streams problems

    Advantages More accurate than most o the previous studies7 even not yet

    /99 but still it is acceptable Applicable in very wide range o low7 ecept or laboratory range

    Le Thu Hien

  • 8/9/2019 FYP Slides

    31/31

    THANK

    'OU L Th Hi

    Nanyang Technological University

    School of Civil and Environmental Engineering

    Supervisor% Assoc Pro Cheng =ian Sheng

    Moderator% Assoc Pro 'im Siow ong