5. Setup of iFFRM

The development of an Integrated Forecasting and River Modelling (iFFRM)
system for the Muar River watershed in Malaysia
Mohammed Fawwaz Fauzi, Andrew Brown, Emma Brown & David Powers
2015 AWRA National Conference
Denver, Colorado
Outline
1.
2.
3.
4.
5.
Background
The Project Team
Technical Approach
Future Prospects
Reflections
© HR Wallingford 2015
Malaysia
© HR Wallingford 2015
The Muar River
© HR Wallingford 2015
Background
Understanding the Flooding Issues in Malaysia…

Strong economy has led to increases in development (particularly in and and
along floodplain areas)
 Deforestation
– Rubber plantations and more recently palm oil plantations
 Urbanisation and increasing population in historically rural areas

Structures in floodplain changing the hydraulic characteristics
 Bridges
 Levees

Climate change
 Increases in rainfall depth and intensity
 Sea level rise

Watershed Topography
 Tropical hydrology – 2.5 m (8.2’) annual rainfall
© HR Wallingford 2015
Track Record in Flood Warning Systems
Munster
Salado
Creek
San
Antonio
Demer
Dijle
Shanghai
Solva
Pordenone
Tokyo
Chao Phraya
Banas
& Luni
Klang
Muar
Bang Pakong
Selangor
Citanduy
© HR Wallingford 2015
Project Team
Jabatan Pengairan dan Saliran
Malaysia
Pinnacle Engineering
Consultants
HDL Solutions
HR Wallingford
Dr Lau
© HR Wallingford 2015
Project Team
Jabatan Pengairan dan Saliran
Malaysia
Pinnacle Engineering
Consultants
Website and telemetry
Development of FFS
Radar data
© HR Wallingford 2015
Technical Approach
Part A: Integrated Flood Forecasting and River Monitoring (iFFRM)
System with Warning System Components
Part B: RADAR Nowcasting with NWP Integration and Decision
Making Support System (DMSS)
Part C: Maintenance of the system
© HR Wallingford 2015
Flood Forecasting and River Monitoring
Hindcast Forecast
iFFRM
WARNING
© HR Wallingford 2015
Technical Approach
1. Gathering of data and models and site visits
2. Checking of availability and quality of models and data
3. Method development/adjustment
4. Adapt existing hydraulic model for usability in iFFRM system
•
•
•
Remove all time dependent data and replace with hydrological models
Recalibration of new version of model
Validation of new version of model
5. Setup of iFFRM
•
•
•
Setup of FloodWorks (linking models and data, setup of displays)
Link to live telemetry data
Link to live forecast data
6. Test and demo iFFRM
7. Reporting
© HR Wallingford 2015
Data
© HR Wallingford 2015
Bridge at
Pekan
Rompin
Bridge at Buloh Kasap
Heavily vegetated
channels upstream
need high roughness
values
Modification of
RPL values to
represent
sinuosity
New bridge, Sg Pagoh
© HR Wallingford 2015
Flood history
Flood Events
•
•
•
•
•
•
•
January 1995
December 1995
December 2006
January 2007
December 2008
November 2010
January 2011
© HR Wallingford 2015
Technical Approach
1. Gathering of data and models and site visits
2. Checking of availability and quality of models and data
3. Method development/adjustment
4. Adapt existing hydraulic model for usability in iFFRM system
•
•
•
Remove all time dependent data and replace with hydrological models
Recalibration of new version of model
Validation of new version of model
5. Setup of iFFRM
•
•
•
Setup of FloodWorks (linking models and data, setup of displays)
Link to live telemetry data
Link to live forecast data
6. Test and demo iFFRM
7. Reporting
© HR Wallingford 2015
Data quality 2006
© HR Wallingford 2015
Data quality 2006
© HR Wallingford 2015
Tasks
1. Gathering of data and models and site visits
2. Checking of availability and quality of models and data
3. Method development/adjustment
4. Adapt existing hydraulic model for usability in iFFRM system
•
•
•
Remove all time dependent data and replace with hydrological models
Recalibration of new version of model
Validation of new version of model
5. Setup of iFFRM
•
•
•
Setup of FloodWorks (linking models and data, setup of displays)
Link to live telemetry data
Link to live forecast data
6. Test and demo iFFRM
7. Reporting
© HR Wallingford 2015
Extended cross section method
© HR Wallingford 2015
Results
Flood map just
upstream of the Muar
confluence with Sg
Segamat, with LiDAR
data shown in shades
of brown.
© HR Wallingford 2015
Technical Approach
1. Gathering of data and models and site visits
2. Checking of availability and quality of models and data
3. Method development/adjustment
4. Adapt existing hydraulic model for usability in iFFRM system
•
•
•
Remove all time dependent data and replace with hydrological models
Recalibration of new version of model
Validation of new version of model
5. Setup of iFFRM
•
•
•
Setup of FloodWorks (linking models and data, setup of displays)
Link to live telemetry data
Link to live forecast data
6. Test and demo iFFRM
7. Reporting
© HR Wallingford 2015
iFFRM - Ouputs
© HR Wallingford 2015
http://forecastmuar.water.gov.my/map
© HR Wallingford 2015
Future Prospects
Langkawi
Kelantan
Kedah
Terengganu
Penang
Kemaman
Pahang
Selangor
Klang
Linggi
Muar
© HR Wallingford 2015
Reflections
• Historically, FRA in the Muar River Basin was viewed based on
historical flooding. The development of iFFRM is highlighting the need
for additional gauge data to better understand local flood risk as the
past no longer serves as an indicator of the future.
• Data availability and integrity in Malaysia can be unreliable and exist in
inconsistent formats, requiring ad hoc solutions in order to make the
best use of what is available.
• Limitations in resources may lead to less than ideal scope (e.g.
nowcasting), as well as limitations in operational capabilities. This may
necessitate simplifying assumptions.
• Communications between the various stakeholders needs to be
prioritised in order to make the best use of available resources.
© HR Wallingford 2015
Thank You!
2015 AWRA National Conference
Denver, Colorado