Presentation Outline
-
Upload
judah-mendez -
Category
Documents
-
view
18 -
download
0
description
Transcript of Presentation Outline
![Page 1: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/1.jpg)
Overview of Urban Drainage Overview of Urban Drainage Flood Prediction Methods and Flood Prediction Methods and
ApproachesApproaches
J.Y. ChenJ.Y. Chen11 and B.J. Adams and B.J. Adams22
1.1. Water Survey Division, Environment CanadaWater Survey Division, Environment Canada2. Department of Civil Engineering, University of Toronto2. Department of Civil Engineering, University of Toronto
2008. 05. 062008. 05. 06
![Page 2: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/2.jpg)
Presentation OutlinePresentation Outline
Urban drainage modeling approaches
Analytical model development
Model evaluation and comparison
Conclusions
![Page 3: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/3.jpg)
Methods for Urban Drainage Methods for Urban Drainage Flood Prediction Flood Prediction
Statistical/stochastic methodsFlood frequency analysisRegional flood frequency analysisTime series analysis
Deterministic methods
Conceptual models
![Page 4: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/4.jpg)
Deterministic Conceptual Deterministic Conceptual Modeling Methods Modeling Methods
Model inputsModel inputs Water budgetWater budget
Runoff routingRunoff routing
Model calibrationModel calibration
Model verificationModel verification
Model structure
PredictionPrediction
![Page 5: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/5.jpg)
Approaches Used for This StudyApproaches Used for This Study
Design storm approach
Simulation approach
Continuous simulation
Event simulation
Derived probability distribution approach
![Page 6: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/6.jpg)
Analytical Model DevelopmentAnalytical Model Development
Closed-form analytical models are developed
with derived probability distribution theory
Probability distributions of runoff volumes and
peak flow rates can be derived from probability
distributions of rainfall characteristics
![Page 7: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/7.jpg)
Rainfall-Runoff TransformationRainfall-Runoff Transformation
Runoff coefficient based
dd
d
r SvSv
Svv
;
;0
Extended form
dpdpdpdidp
dpdidi
di
r
SvShhSvhh
SvSSvh
Sv
v
;11
;
;0
![Page 8: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/8.jpg)
Rainfall-Runoff Rainfall-Runoff Transformation Transformation (Cont’d)(Cont’d)
Infiltration based
tfSSvtfhSShhSv
tfSSvSSvh
Sv
v
ciwdpciwdpdi
ciwdpdidi
di
r
;11
;
;0
![Page 9: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/9.jpg)
Analytical ModelAnalytical Model
Statistic analysis of rainfall recordsStatistic analysis of rainfall records
Rainfall characteristics, e.g., rainfall event volume,duration & interevent time
Rainfall characteristics, e.g., rainfall event volume,duration & interevent time
Probability distributionsof rainfall characteristicsProbability distributionsof rainfall characteristics
Rainfall-runoff transformationRainfall-runoff transformation
PDF or CDF of runoff event volumePDF or CDF of runoff event volume
Expected value of runoff event volumeExpected value of runoff event volume
Average annual runoff volumeAverage annual runoff volume
Storagefacility
Exceedance probability of a runoff spill volumeExceedance probability of a runoff spill volume
Average annual number of spillsAverage annual number of spills
Average annual volume of spillsAverage annual volume of spills
Average annual runoff control efficiencyAverage annual runoff control efficiency
Overflow
![Page 10: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/10.jpg)
Rational MethodRational Method
Peak flow rate
Runoff volume
Storage
AiQp
Tbase=2tc or 2.67tc
Post-development peak Pre-development
peak
prepostbase QQT2
1R
![Page 11: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/11.jpg)
Simulation ModelsSimulation Models
Event simulation models
OTTHYMO (Canada)
HEC-HMS (US)
SWMM (US)
Continuous simulation model
SWMM
![Page 12: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/12.jpg)
Case study:Case study:Don River Don River WatershedWatershed
Case study:Case study:Don River Don River WatershedWatershed
![Page 13: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/13.jpg)
Harding Park stormwater Harding Park stormwater detention facilitydetention facility
Harding Park stormwater Harding Park stormwater detention facilitydetention facility
![Page 14: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/14.jpg)
Model CalibrationModel Calibration
Rational methodRational method
OTTHYMOOTTHYMO
![Page 15: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/15.jpg)
Model Calibration Model Calibration (Cont’d)(Cont’d)
HEC-HMSHEC-HMS
SWMMSWMM
![Page 16: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/16.jpg)
Calibration of Analytical ModelsCalibration of Analytical Models
![Page 17: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/17.jpg)
Model VerificationModel Verification
![Page 18: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/18.jpg)
Model Verification Model Verification (Cont’d)(Cont’d)
![Page 19: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/19.jpg)
ConclusionsConclusions
Peak flow rates from event simulation models
appear to be lower than the results from
continuous simulation model
Event simulation models appear to be more
conservative than continuous simulation model
for runoff volume estimation
![Page 20: Presentation Outline](https://reader035.fdocuments.us/reader035/viewer/2022062718/56812e85550346895d942828/html5/thumbnails/20.jpg)
Conclusions Conclusions (Cont’d)(Cont’d)
The closed-form analytical models developed with derived probability distribution theory, are capable of providing comparable results to continuous simulation results
Different models may vary not only in modeling approach, but also in the level of complexity, it can be challenging to select an appropriate model with a desired level of performance