The document describes a study that used HEC-HMS and HEC-RAS models to generate flood hazard maps of the Bued-Angalacan River basin in the Philippines. Key steps included developing a basin model with sub-basins and reaches, calibrating the HEC-HMS model using rainfall and discharge data, and generating 1D flood maps for 5 to 100 year rainfall events. The maps showed increasing flood risk with higher return periods, with most impacts in the town of San Fabian. The study aims to provide information for flood preparation and damage estimation.

2. INTRODUCTION
Location of the Bued-Angalacan river basin relative to
the Philippines
Bued-Angalacan River is a major river in the island of Luzon
located in the province of Pangasinan in the Philippines.
Flood Hazard Mapping typically provides a ‘snapshot’ of
flood risk at a given point in time.
Hydrologic Engineering Center Hydrologic Modeling
System (HEC HMS) – designed to simulate the precipitation
–runoff processes of watershed system (USACE, 2010).
Hydrologic Engineering Center River Analysis System (HEC
RAS) – designed to perform one dimensional hydraulic
calculations for a full network of natural constructed
channels (USACE, 2010)

3. OBJECTIVE
The objective of the study was to calibrate and generate one
dimensional flood hazard maps through the use of combined
HEC HMS and HEC RAS using hypothetical and extreme
rainfall events in Bued-Angalacan River.

4. Calibrated HEC
HMS
Model
Rainfall Intensity Duration
Frequency (5, 10, 25, 50 and
100 years)
LiDAR DEM, Land Cover,
Calibrated Discharge at
Different Return Period (5, 10,
25, 50 and 100 years)
Flood Hazard
HEC-RAS
Model
SAR DEM
Soil and Land Cover
Hydrological Measurements
HEC HMS
Model
METHODOLOGY
Framework for application of combined HEC HMS-HEC RAS for flood hazard mapping in
Bued-Angalacan River Basin

5. HEC HMS Model Development
Three (3) specific components
in Modeling HEC-HMS
• basin model
• meteorological model,
• set control specifications
HEC-GeoHMS, was used to
prepare the basin model. The
basin utilized the 10-m
Synthetic Aperture Radar
Digital Elevation Model (SAR
DEM), soil map, land cover
map.
Soil map of the Bued-Angalacan River Basin. (Source of data:
Bureau of Soil and Water Management Department of Agriculture)
Land cover map of the Bued-Angalacan River Basin. (Source
of data: National Mapping andResource Information Authority)
10 m- SARDEM

6. Calibration of HEC-HMS Model
HEC HMS model calibration was in Don Calimlim
Bridge (16°1' 45.5118"N, 120° 27' 24.8499"E).
Hydrological data necessary for calibration was
gathered from this station last 10/01/2015 to
10/05/2015 with the use of water level and velocity
meter with data logger together with the river cross-
sectional data
Location of rain gauges was found in the
Municipality of Laoac and Binalonan, Pangasinan
Location map of rain gauges used for the calibration of the
Bued-Angalacan HEC HMS model.
Rainfall and outflow data used for modeling

7. HEC RAS Model Development
1-m LIDAR DEM integrated with river bed data was
used as the primary source of the cross-section data.
HEC GeoRAS is the pre-processor of HEC RAS, and it
basically prepares the model‘s geometric data.
The unsteady flow module of HEC RAS was used to
determine the water surface profiles for flood inundation
mapping.
1m LiDAR DEM

8. Flood Hazard Map Generation for Different Rainfall Events
Categorizations:
• Low hazard for depths of less than 0.50 m
• Medium hazard for depths from 0.50 m to 1.50 m
• High hazard for depths of greater than 1.50 m.

9. RESULTS AND DISCUSSION
Generated Basin Model
The basin model consisted of 69 watersheds
(sub-basins), 34 reaches, and 34 junctions
(including the main outlet). The delineated
watersheds range from 0.043 to 29.82 km2 in
area, and with an average area of 8.88 km2.
The Bued-Angalacan basin model showing the delineated
watersheds/sub-basins, reaches and junctions.

10. HEC HMS Model Performance
• Root Mean Square Error (RMSE) = 4.5 m3/s.
• Pearson correlation coefficient (r2) = 0.992
• Nash-Sutcliffe (NSE) = 1.00
• Percent Bias (PBIAS) = 0.50
• Observation Standard Deviation Ratio (RSR) = 0.07
0
50
100
150
200
250
300
01Oct2015,
11:00
02Oct2015,
12:00
03Oct2015,
13:00
04Oct2015,
14:00
ObservedDischarge
Date and Time
Bued-Angacalan Outflow Hydrograph
Actual Outflow
(m3/s)
HEC-HMS Outflow
(m3/s)
Outflow Hydrograph of Bued-Angalacan produced by the HEC-HMS
model compared with observed outflow.
Performance
Rating
Statistics
NSE PBIAS RSR
Very good 0.75<NSE≤ 1.00 PBIAS< ± 10 0.00<RSR≤0.50
Good 0.65<NSE≤ 0.75 ± 10≤ PBIAS< ± 15 0.50<RSR≤0.60
Satisfactory 0.50<NSE≤ 0.65 ± 15≤ PBIAS< ± 25 0.60<RSR≤0.70
Unsatisfactory NSE≤ 0.50 PBIAS< ± 25 RSR>0.70
Table 1. HEC HMS performance ratings based on three model performance evaluation statistics.
Source: Moriasi (2007)

11. Model Outflow using Rainfall Intensity Duration Frequency (RIDF) Analysis Data
Pangasinan RIDF
Pangasinan Rainfall-Intensity Duration Frequency (RIDF) curves.
The Philippine Atmospheric, Geophysical and
Astronomical Services Administration
(PAGASA) computed the Rainfall Intensity
Duration Frequency (RIDF) values for the
Pangasinan Rain Gauge.
All return periods were registered for 24
hours and the peak periods are noted after 12
hours.

12. Model Outflow using Rainfall Intensity Duration
Frequency (RIDF) Analysis Data
Results using RIDF
• Simulation results showed significant increase in
outflow magnitude as the rainfall intensity
increases for a range of durations and return
periods.
0
500
1000
1500
2000
2500
11:00
15:10
19:20
23:30
3:40
7:50
12:00
16:10
20:20
0:30
4:40
8:50
13:00
17:10
21:20
1:30
5:40
9:50
14:00
18:10
22:20
2:30
6:40
10:50
Discharge,cms
Time, min
Bued-Angalacan Outflow
5yr_RIDF
10yr_RIDF
25yr_RIDF
50yr_RIDF
100yr_RIDF
Bued-Angalacan Outflow -Using the Pangasinan Rainfall Intensity Duration
Frequency (RIDF) Curves
RIDF
Period
Total
Precipitation
(mm)
Peak
rainfall
(mm)
Peak
outflow Time to Peak
(m 3/s)
5-Year 246.7 33.9 1282.3 10 hrs. 20 min.
10-Year 293.6 40.5 1518.6 10 hrs. 20 min.
25-Year 352.9 48.9 1815.1 10 hrs. 20 min.
50-Year 396.8 55.1 2034.9 10 hrs. 10 min.
100-Year 440.5 61.2 2253.1 10 hrs. 10 min.
Table 2. Peak values of the Bued-Angalacan HEC-HMS Model outflow using the Pangasinan RIDF.

13. Geometric Representation
Geometric representation of Bued-Angalacan River
• The river and floodplain geometry of Bued-
Angalacan river was collected through
conduct of bathymetric and cross section
surveys. The geometric representation of
Bued-Angalacan river has a total of 81 cross-
section lines with an interval of 200 m

14. 1D-Simulated flood hazard map of Bued-Angalacan River Basin for a 5-year rainfall event
1-D Simulated Flood Hazard Maps due to Hypothetical, Extreme Rainfall Events

15. 1D-Simulated flood hazard map of Bued-Angalacan River Basin for a 10-year rainfall event
1-D Simulated Flood Hazard Maps due to Hypothetical, Extreme Rainfall Events

16. 1D-Simulated flood hazard map of Bued-Angalacan River Basin for a 25-year rainfall event
1-D Simulated Flood Hazard Maps due to Hypothetical, Extreme Rainfall Events

17. 1D-Simulated flood hazard map of Bued-Angalacan River Basin for a 50-year rainfall event
1-D Simulated Flood Hazard Maps due to Hypothetical, Extreme Rainfall Events

18. 1D-Simulated flood hazard map of Bued-Angalacan River Basin for a 100-year rainfall event
1-D Simulated Flood Hazard Maps due to Hypothetical, Extreme Rainfall Events

19. RIDF Category
Municipalities of Pangasinan
Dagupan
City
Manaoag Mangaldan Mapandan San Fabian San Jacinto
5 - year
Low 0.06 0.00 0.95 0.44 3.59 2.25
Medium 0.40 0.00 0.75 0.43 4.65 0.99
High 0.08 0.00 1.43 0.37 2.70 0.34
10 - year
Low 0.05 0.01 1.38 0.58 3.53 2.29
Medium 0.40 0.00 1.01 0.65 5.45 1.92
High 0.10 0.00 1.55 0.42 3.27 0.41
25 - year
Low 0.05 0.03 1.74 0.78 3.14 2.25
Medium 0.31 0.00 1.44 0.93 6.33 2.87
High 0.21 0.00 1.70 0.56 4.02 0.52
50 - year
Low 0.05 0.06 1.77 0.91 2.74 2.15
Medium 0.24 0.00 1.82 1.09 6.70 3.48
High 0.29 0.00 1.81 0.71 4.66 0.61
100 - year
Low 0.05 0.09 1.67 1.01 2.35 2.02
Medium 0.20 0.00 2.22 1.28 6.90 3.98
High 0.35 0.00 1.93 0.84 5.28 0.72
Table 3. Area (Km2) of Municipalities affected by flood at different return period.

20. Related articles and news
A news published on July 19, 2015 stated that 35
barangays in 9 towns and cities in Pangasinan
including San Fabian were flooded caused by two
weeks of continuous monsoon rains (Locsin, 2015).
Typhoon Pepeng (International name, Parma) in
October, 2009 devasted Northern Luzon wherein
many houses in Pangasinan were washed out from the
destructive typhoon which forced a number of
families to flee their homes (Merueñas, 2009).
Floods triggered by Pepeng swallow subdivision in San Fabian, Pangasinan.
Pablo Erfe (Merueñas, 2009)

21. CONCLUSIONS AND RECOMMENDATION
The model was found to have a "very good" performance in predicting discharge hydrographs at the upstream
station.
The hazard maps of Bued-Angalacan river indicate increase in flood affected areas as the return period increases.
Most of the areas that will be affected by the flood is in the town of San Fabian which is located at the
downstream portion of the river basin.
The flood hazard maps would provide important information for preparation, evacuation, and damage estimation.
The maps also indicate which areas are to be avoided if such flood events are expected to occur.
Actual field validation of generated flood hazard maps at different return periods is recommended to make it more
reliable.

22. ACKNOWLEDGMENTS
The authors would like to thank the Department of Science and Technology (DOST) for the financial
assistance. The research team would like to acknowledge also the support and help of DREAM Project
and PHIL-LiDAR 1 Project at University of the Philippines-Diliman especially Dr. Enrico C. Paringit
and his team for the cross section data, DEM’s used in this study. Sincere thanks is also being
conveyed to the Philippine Council for Industry, Energy and Emerging Technology Research and
Development (PCIEERD), DOST as the monitoring agency of the research project.

23. Thank you!!!