6th International Disaster and Risk Conference IDRC 2016 Integrative Risk Management - Towards Resilient Cities. 28 August - 01 September 2016 in Davos, Switzerland
Resilient Cities, SMEs, Communities and Infrastructure Four Pioneering Projec...
Development of Urban Flood Analysis Model for Real-time Urban Flood Forecasting and Modeling, Sengyong CHOI
1. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Development of urban flood analysis
model for real-time urban flood
forecasting and modeling
Choi, Sengyong / Cho, Jaewoong/ Kim, Yuntae /Choi, Seongyeol
National Disaster Management Research Institute, Republic of Korea
2016. 8. 30.
2. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
CONTENTS
one Causes of urban flood and
damage cases
two Overview of the urban flood
analysis model development
four Application and utilization of
the developed model
three Development of urban flood
analysis model
3. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
CausesofUrbanFloodand
UrbanFloodDamage
4. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Major Causes of Urban Flood
Urbanization: Impervious surface in urban area is increasing due to urbanization.
Urban flood risk : Once damage occurs, the damage scale is greater than previously.
Climate Change : Annual total rainfall and Torrential rainfall increase.
Main
Issues
Population and
5. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Urban Flood Damages
’11 Inundation in Gangnam
’11 Landslide in Gangnam
In Korea, urban flood damage of ground and underground spaces in urban area
have increased due to the torrential rain and urbanization.
Main
Issues
6. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Overviewoftheurbanflood
analysis model development
7. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Problems of Urban Flood Management
The current rainfall forecast system for urban flood management is unsuitable
→ There is a limit of the forecast for prevention of urban flooding damage due to flash flood
There is no observing system for urban flood management
There is no urban flood analysis model for real-time urban flood response.
Problems
8. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Background and Objective of Model Development
There is no inundation analysis model for the ground and underground
spaces to manage the urban flooding
9. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Development ofurbanflood analysis model
10. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Development of Integrated Inundation Analysis Model
1.Development of ground inundation
analysis model
2.Development of underground
inundation analysis model
3. Development of integrated inundation
analysis model
4.Development of integrated inundation
analysis system(based on GIS)
Underground
entrance
11. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Features of Developed Model
12. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Development of GUI version inundation analysis model
In the case of hydrological modeling for surface runoff
Display of Inundation depth Display of water surface elev. Display of runoff discharge
Function to display the simulation results such as inundation depth,
water surface elev. and runoff discharge
Animation of simulation results
To check the values of the simulation results
Functions
13. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Development of GUI version inundation analysis model
In the case of hydrological modeling for surface runoff
Display of pipe network simulation Display of pipe information Display of manhole information
Function to display the simulation results
To check the information of pipe network(pipe, manhole)
Notification about the risk degree of manholes and pipelines
according to the simulation time(step)
Functions
14. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Development of GUI version inundation analysis model
In the case of hydrological modeling for surface runoff
To provide some graphs for simulation results
To check the depth and water elevation of pipes and manholes
according to simulation time step
Functions
15. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Application andutilization ofthedeveloped model
16. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Field survey of study area(Seocho-gu)
17. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
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Establishment of 3D schematic diagram from field survey
18. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Establishment of input data for ground inundation simulation
19. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Establishment of input data for underground inundation simulation
Input data for underground inundation simulation
The number of sub underground space : 28
The number of inlet : 12
The number of connected passage : 43
(including virtually connected passage)
20. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Results of inundation simulation(Seocho-gu)
Simulation conditions : 30-year frequency rainfall, Cell size :30m,
computation time step:10sec , Total computation time:80sec
As a result, simulation result is good agreement with
observed inundation area(red line)
Results
21. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Results of underground space inundation simulation
22. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Application of developed inundation analysis model
Comparison of the simulated and observed values
Monitoring Results Locations of Monitoring Gauge
Gangnamdaero(S1, #1)
Samsung Elc.(S2, #2)
Jinheung Apt.(S3, #3)
#
S
Observed data : measured values at three points
Pipe network : All pipes were not full.(about 90~95%)
Ground flow : Near the Gangnamdaero and Samsung Elc. was inundated,
near the Jinheung Apt. was not inundated.
Observation
23. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
At near the Gangnamdaero and Samgsung Elc.
-Asaresultofsimulation,allpipeswerenotfull,butthegroundinundationhasoccurred
-Inundation has occurred due to lack of capacityof grate inlet.Thisis the difference
between the existingmodels(SWMM, Mike Urban) and the developed model(UFAM)
At near the Jinheung Apt.
-Asaresultofmonitoring,groundinundationhasnotoccurred.Asaresultofsimulation,
somepipeswerefull,thegroundinundationhasoccurred.
Application of developed inundation analysis model
Comparison of the simulated and observed values
Gangnamdaero Jingheung Apt.Samsung Elc.
Sim. : 0.07m inundated
Obs. : 0.06m inundated
Sim. : 0.22m inundated
Obs. : 0.19m inundated
Sim. : 0.05m inundated
Obs. : Not inundated
24. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Expected effects and utilizations of developed model
Urban Flood Management System Smart Big Board
Able to perform the inundation analysis for both ground
and underground spaces
Reduction of computation time by using 1-dimensional model
Able to establish the real-time prediction-alert system
Real-time inundation alert system in central and local government
Results
Expected
effects
and
utilization
25. 6th
International Disaster and Risk Conference IDRC 2016
‘Integrative Risk Management – Towards Resilient Cities‘ • 28 Aug – 1 Sept 2016 • Davos • Switzerland
www.grforum.org
Hinweis der Redaktion
Good afternoon everyone.
I am Sengyong Choi from Korea.
I am working in National Disaster Management Research Institute in
Ministry of Public Safety and Security.
MPSS is the control tower which manages the national disasters and accidents in Korea.
NDMI belongs to the MPSS
First of all, I am very pleasure to have the opportunity to present all of you.
Today, I would like to talk about the development of urban flood analysis model
for real-time urban flood forecasting and modeling.
The contents are as follows.
The first one is Causes of Urban Flood and damages cases.
The second one is the overview of the urban flood analysis model development.
The third one is development of urban flood analysis model.
The last one is application and utilization of the developed model.
Let’s see about the causes of urban flood and urban flood damage
There are many causes of urban flooding.
The first one is the urbanization.
Impervious surface area is increasing due to urban development projects
such as road paving and building construction.
Because of the increment for the impervious area, runoff has also increased.
And next one is the increment of the urban flood risk.
Compared to the past, the risk for urban flooding has increased.
So, once the urban flood damage occurred, the damage scale is greater than previously.
The last one is climate change.
As you can see in these figures, annual total rainfall and torrential rainfall are increasing.
Also, many researchers are studying and arguing about the climate change.
Nevertheless, climate change is a problem that we are facing already.
Left figures show the Gangnam inundation in two thousands eleven.
(Do you know Gangnam or Gangnam style?
Yes, that is Gangnam. Gang means river. Nam is south region. So, Gangnam is southern part of river)
Also, right videos show the inundation and landslide accident in Gangnam in two thousands eleven.
At that time, more ten people died.
In Korea, the urban flood damage occurs in almost every year.
Let’s see about the overview of the urban flood analysis model development.
Here are some problems of the urban flood management.
Because of the temporal and spatial limits of radar and ground rain gages,
The current rainfall forecast system for the urban flood management is unsuitable.
And, there are no observation systems for the only urban flood management.
Let’s see these figures.
For example, Assuming that our goal is to find an elephant in the meadow.
We have to use a appropriate telescope to find the elephant.
We can not even find the elephant with too high magnification telescope.
We can not even find the elephant with too low magnification telescope.
Likewise, we have to use proper observing system for urban flood management.
So, Currently in Korea,
Research on the use of x-band radar for the urban flood management is being carried out.
The main problem of the urban flood management is that there is no urban flood analysis model.
So, Korea government is developing the urban flood analysis model for managing the urban flood.
As I already mentioned in the previous slide, the background of this study are as follows.
Despite of this situation, there is no inundation analysis model
for the ground and underground spaces to manage the urban flooding.
So, the objective of this study is to develop the integrated urban flood analysis model
which can simulate the pipe network, surface inundation and underground inundation at the same time.
And we can disseminate the real-time urban flooding risk information to the public using the developed model.
I would like to introduce development of urban flood analysis model.
This slide shows the development process and concept of integrated inundation analysis model being developed by NDMI.
As you can see, the developed model consist of two parts of ground inundation analysis and underground inundation analysis .
Actually, sewer network analysis belongs to the ground inundation analysis.
In ground inundation analysis,
we can perform the inundation and runoff analysis considering
the drainage facilities like the sewer system, pump and the constructions such as building and road.
In underground inundation analysis,
We can perform the inundation analysis considering the underground entrance and stairs.
Also, Two models are totally linked for the inundation analysis.
And we are developing GUI version inundation analysis model based on GIS for user’s convenience.
Here are the features of developed model.
One of the some features for developed model is integrated analysis.
And next one is a reflection of the various urban runoff elements.
When the inundation analysis is performed,
elements such as buildings, roads, river and rain gutters are considered.
And we have developed the GUI version based on open GIS for convenience of users.
This slide shows some functions of the developed GUI version inundation analysis model
in the case of hydrological modeling for surface runoff analysis.
We can check the simulation results such as the inundation depth, water surface elevation and
runoff discharge through the GUI system.
We can make from the simulation results to animations using the GUI system.And also, we can check the values of the simulation results.
Also, the developed GUI version inundation analysis model has some functions as followings;
We can check the simulation results for pipe network system through the GUI.
We can check the information of the pipe network such as diameter, shape and length, etc.
And also, we can check the risk degree of manholes and pipelines according to the simulation time(step) through the GUI.
Also, GUI provides some graphs for simulation results.
So, we can check the depth and water elevation of pipes and manholes according to simulation time step through the GUI.
This figure show some graphs for simulation results.
Let’s see about application and utilization of the developed model.
So far, we have looked briefly for the developed model.
From now, I would like to introduce the applications of developed model.
Focusing on the applications process and simulation result.
First of all, Seocho-gu basin was selected as study area for application.
Seocho-gu basin belongs to Gangnam.
As I already mentioned, urban flooding occurs every year in Gangnam.
In Gangnam, big urban flooding occurred frequently in Seocho-gu basin.
That’s the why to choose as the study area.
We carried out field survey for collecting the raw data and making the input data for simulation.
And also, we carried out field survey for underground space of Seoul Express Bus station.
As you can see, we established three dimensional schematic diagram for underground from field survey
And we made input data for inundation analysis of ground and underground space through basis data obtained from field survey.
We need some data for simulation.
DEM data, Rain gutter data, Subbasin and sewer network data, Building data, and road slope.
So, we established the input data like this from the GIS maps.
After field survey for underground space,
We established input data for underground inundation simulation.
Right figure shows the established input data.
As you can see, Input data consist of sub underground space, inlet, connected passage.
After establishing the all input data, we carried out simulation for ground an underground inundation analysis.
Simulation conditions are as following;
We used the 30-year frequency rainfall and cell size of thirty meters for simulation.
The computation time step of ten seconds was used for simulation.
It took eighty seconds to complete the simulation.
This red line is area where it has been flooded in the past.
As you can see, as a result, we could confirm that simulation result is good agreement with observed inundation area.
This is simulated results for underground space.
We can identify that inundated area are changed as time goes by.
If we use more accurate input data, we can obtain the detailed simulation results.
To verify the accuracy and validation of the developed model,
We compared the simulated and observed values.
The observed data was measured values
by the installed water level gauges at three points in Seocho basin.
The left figure shows the monitoring results.
The right figure shows the locations of monitoring gague.
At near the Gangnamdaero and Samgsung Elc.
As a result of simulation, all pipes were not full, but the ground inundation
has occurred
Inundation has occurred due to lack of capacity of grate inlet.
This is the difference between the existing models(SWMM, Mike Urban)
and the developed model(UFAM)
In the case of the existing models(SWMM, Mike Urban),
Only when the pipe flow is full, inundation analysis is possible.
At near the Jinheung Apt.
As a result of monitoring, ground inundation has not occurred.
As a result of simulation, some pipes were full, the ground inundation
has occurred.
Those figure show the observed and simulated values.
As you can see in the figures,
It can be seen that the simulated and observed values are good agreement.
Expected effects and utilizations of the developed model are as followings;
We can perform the inundation analysis for both ground and underground spaces unlike a existing model.
We are able to establish the real-time prediction-alert system by reduction of computation time.
So, we are developing the urban flood management system using the developed model.
We can distribute the information for urban flood risk through this system.
And also, we are developing the web based-system for monitoring and managing the disaster.
We called it Smart Big Board(SBB).
SBB collects the disaster information from the SNS(social network system) such as twitter, facebook, blog.
So, we can check the disaster information in real time through this system.
Also, We can check the dangerous area in real time through the system.
The expected inundation maps have been created using the developed model.
And we loaded the SBB with the expected inundation maps.
So, we can check the inundation risk area through this system in advance.
Thank you for your attentions.
Do you have any question?