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Flood Inundation Mapping of Tadi River
CE 547 GIS in Water Resource Engineering
Final Report
Submitted By:
Aayush Piya
May 5, 2017
Contents 1 Motivation & Background .................................................................................................................... 3
2 Introduction ........................................................................................................................................... 3
3 Objective ............................................................................................................................................... 3
4 Methods................................................................................................................................................. 4
4.1 Data sources .................................................................................................................................. 4
4.2 Projection used .............................................................................................................................. 4
4.3 Analysis......................................................................................................................................... 4
4.3.1 Delineating Watershed Area ................................................................................................. 4
4.3.2 Hydrological Analysis ........................................................................................................... 5
4.3.3 Flood Inundation Mapping .................................................................................................... 5
5 Results ................................................................................................................................................... 7
5.1 Watershed Delineation .................................................................................................................. 7
5.2 Hydrological Analysis................................................................................................................... 8
5.2.1 Mean monthly flow and Flow Duration Curve ..................................................................... 8
5.2.2 Rating Curve ......................................................................................................................... 9
5.2.3 Flood Forecast Analysis ........................................................................................................ 9
5.3 Flood Inundation Mapping.......................................................................................................... 10
6 Conclusion .......................................................................................................................................... 11
7 Future work ......................................................................................................................................... 11
APPENDIX
1 Motivation & Background Nepal with its fragile geology, steep slopes, high relief, and variable climates, is prone to water
induced disasters such as floods and landslides. Over the last twenty years from 1983-2002,
floods and landslides caused 6,466 deaths and more than US $ 200 million in damage. In the
absence of information about the nature of flood events, exposure of life and properties and
capabilities to cope with disasters, it is difficult to prepare and implement pre-disaster activities.
Lack of information is likewise a major constraint in implementing and coordinating the rescue
and post-disaster management activities effectively. The necessity of understanding the
phenomenon of flooding of the river and to identify and map vulnerable areas for proper
management and mitigation of floods is becoming essential to minimize the damages incurred
annually.
2 Introduction Flood inundation mapping(FIM) is required to understand the affects of flooding in an area and
on important structures such as roadways, railways, streets, buildings and airport. FIM provides
important information, like depth and spatial extent of flooded zones, required by the municipal
authorities to inform the citizens about the major flood prone areas and adopt appropriate flood
management strategies. In this Project, the catchment area of a river at site location is determined
and a flood inundation map has been developed for the river within the catchment area caused by
the 100-year return period flood.
3 Objective The main objective of this project was to explore and learn the basic function of HEC-RAS and
HEC-GeoRAS and prepare a flood inundation map using this modelling tools. The specific
objectives were as follows:
i. Delineate watershed area of a section of Tadi river
ii. Perform Hydrological calculation
iii. Use HEC-RAS and HEC-HEC-GeoRAS to develop flood inundation map of the section
of river in ArcGIS
4 Methods
4.1 Data sources i. Hydrological data (daily flow records) from the existing Station No. 448 at Tadipul,
Belkot, Nuwakot in Tadi Khola published by Department of Hydrology and Meteorology
(DHM), Government of Nepal (GoN).
ii. Digital Maps of Topography Base Map with Index sheet no. 2785 02B and 2885 14D
4.2 Projection used
A modified projection named Nepal Central Projection was used. It is CGS Everest Bangladesh
1937 modified to following parameter. This projection overcomes the inconveniences caused by
the negative numbers in Rectangular Coordinate system.
Projection: False_Easting: 500000.0
False_Northing: 0.0
Central_Meridian: 84.0
Scale_Factor: 0.9999
Latitude_Of_Origin: 0.0
Linear Unit: Meter (1.0)
4.3 Analysis
4.3.1 Delineating Watershed Area
Tadi Khola is located in Rautbeshi, Shikarbeshi and Ghyanphedi Village Development
Committees (VDCs) of Nuwakot District in Central Development Region of Nepal. Digital maps
were used to determine the catchment area. However, only two digital maps were available
which entailed only upper section of the river. Because of unavailability of all the digital maps
only a section of the river was considered for this project. A point with coordinates 85° 25′ 3.48″
E and 27° 57′ 45″ N was taken as reference to delineate the watershed area.
4.3.2 Hydrological Analysis
In this project, the hydrological analysis deals with the flow analysis to obtain the mean monthly
flow at the provided point of reference using catchment correlation, flood at different return
periods and in short it provides a basis of forecasting. If two basin are hydro-meteorologically
similar, data extension may accomplished simply by multiplying the available long term data at
the Hydrometric station with the ratio of the basin areas of the base station (proposed site under
study) and the index Hydrometric station. In this contest, more accurate results can be obtained
using Dicken’s formula. 𝑄 = 𝑄𝑜 ∗𝐴
𝐴𝑜 Where, Q and Qo are the discharge at the base and index
stations, respectively, and A and Ao are the corresponding basin areas. Using this method, flow
duration curve (FDC) and rating curve at the proposed site was developed. For flood frequency
analysis Gumbel’s extreme value distribution was used.
4.3.3 Flood Inundation Mapping
The flood inundation map was developed for a section of Tadi river. For this work, the HEC-
RAS was used to calculate water-surface profiles; ArcGIS was used for GIS data processing. The
HEC-GeoRAS for ArcGIS was used to provide the interface between the systems. HEC-
GeoRAS is an ArcGIS extension specifically designed to process geospatial data for use with
HEC-RAS. The extension allows users to create an HEC-RAS import file containing geometric
attribute data from an existing digital terrain model (DTM) and complementary data sets. HEC-
GeoRAS automates the extraction of spatial parameters for HEC-RAS input, primarily the three-
dimensional (3D) stream network and the 3D cross-section definition. Results exported from
HECRAS are also processed in HEC-GeoRAS. The general procedure adopted for inundation
modelling consists basically of five steps: i) preparation of terrain (DEM or TIN) in ArcGIS, ii)
HEC-GeoRAS for pre-processing to generate a HEC-RAS import file, iii) running of HEC-RAS
to calculate water-surface profiles, iv) post-processing of HEC-RAS results, and v) floodplain
mapping.
4.3.3.1 Data in HEC-RAS
The geometric data were imported from HEC-GeoRAS. The imported file includes river
streamline along with the bank lines and flow path. The file also includes cross section of the
river. Geometric data also requires Manning’s roughness coefficient. For simplicity, a constant
Manning’s coefficient was used. Tadi river is a mountain stream with no vegetation in channel
and large boulder at bottom. The n value fitted for this description was 0.04, 0.05 and 0.07 for
minimum, normal and maximum respectively.
Similarly, for flow data, a constant flow was assumed throughout the stream. A peak flood
discharge for 100-year return period was estimated using Gumbel’s method. This discharge was
used as constant flow for steady flow analysis. For boundary condition, rating curve was used.
5 Results
5.1 Watershed Delineation
The total catchment area of the basin at the point of reference was calculated 101Km2.
5.2 Hydrological Analysis
5.2.1 Mean monthly flow and Flow Duration Curve
Month Jan Feb Mar Apr May June July Aug Sept Oct Nov Dec
Mean monthly
flow at St. No.
448, m3/s
9.63 7.29 5.23 5.62 9.94 34.30 99.15 129.43 92.30 43.22 21.76 13.14
Estimated
mean monthly
flow at
proposed site,
m3/s
1.52 1.18 0.89 0.93 1.44 5.48 15.33 20.29 14.95 6.81 3.51 2.13
0.00
2.00
4.00
6.00
8.00
10.00
12.00
14.00
16.00
18.00
20.00
22.00
24.00
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100
Flo
w, m
3/s
Exceedence Level Of Flow, %
FLOW DURATION CURVE
5.2.2 Rating Curve
5.2.3 Flood Forecast Analysis
Gumbel Parameters Mean (x) 96.20269231
Std deviation(σ) 51.43283741
Reduced Mean (y) 0.532
Reduced stdev s 1.0961
Return Period (yrs) Reduced Variate (yt) Frequency Factor (K) Estimated Discharge (Xt) (m3/s)
2 0.366512921 -0.150978085 88.43746099
5 1.499939987 0.88307635 141.6218146
10 2.250367327 1.567710362 176.8344844
20 2.970195249 2.224427743 210.6113227
50 3.901938658 3.074481031 254.3319753
100 4.600149227 3.71147635 287.094452
1000 6.907255071 5.816307883 395.35191
2000 7.600652407 6.448911967 427.888533
5000 8.517093183 7.285004272 470.8911326
0
1
2
3
4
5
0 25 50 75 100 125 150 175 200 225 250 275 300
Stag
e (m
)
Discharge (m3/s)
Rating Curve
Gauge Height Log. (Gauge Height)
5.3 Flood Inundation Mapping
6 Conclusion
The flood inundation map was developed using HEC-GeoRAS and HEC-RAS. The flood map
covered area of 2km2 with depth ranging from 0 m to 31 m. This project helped to learn basic
function of these modelling tools. For any flow analysis, the flow data along with boundary
condition are very important. In this project, for simplicity, constant value were used whereas in
real life these value changes for each cross section. Selecting proper boundary condition is very
important. While developing the inundation map, there were several times that the output
polygon for flood area was not continuous. The main cause for this irregularity was found to be
cross-section. The cross section is very essential for developing these maps and it is imperative
that there is enough cross section provided in the geometric data.
7 Future work
While carrying out this project, only a section of the river was considered. It would be very
interesting to see how the map develops when whole river is considered for analysis. As
mentioned before, constant data such as constant flow and manning’s equation were used. An
only one boundary condition was applied. In future, this project can be conducted with detailed
flow data.
APPENDIX
Nepal Index Sheet
Site Location
Hydrological Analysis
Mean monthly flow
Year: Jan. Feb. Mar. Apr. Hay June July Aug. Sep. Oct. Nov. Dec. Year
1969 1.08 0.69 0.62 0.54 0.50 2.43 11.20 17.01 13.60 5.65 2.77 1.41 4.8
1970 0.94 0.72 0.61 0.49 0.72 4.79 17.63 24.90 13.07 7.41 4.32 2.46 6.5
1971 1.56 1.15 1.03 1.79 2.03 14.06 18.10 21.65 12.79 8.80 4.25 2.20 7.5
1972 1.46 1.33 1.14 1.04 0.94 3.17 17.17 18.25 18.56 7.05 4.75 2.51 6.4
1973 1.59 1.07 1.20 0.81 1.89 12.08 13.94 19.95 19.64 10.12 4.53 2.10 7.4
1974 1.35 0.82 0.55 0.59 0.88 3.85 14.51 25.21 21.50 9.53 4.72 2.91 7.2
1975 2.12 1.70 0.86 0.89 1.05 5.43 18.56 18.25 23.36 8.79 3.67 2.24 7.2
1976 1.69 1.30 0.80 0.95 2.68 7.18 11.94 17.48 15.93 7.28 3.82 1.93 6.1
1977 1.31 1.04 0.75 1.23 1.50 3.19 16.09 23.36 10.32 5.00 2.58 1.58 5.7
1978 1.15 0.86 0.83 0.89 1.76 9.17 26.45 30.93 14.03 8.32 3.40 1.93 8.3
1979 1.29 1.13 0.64 0.73 0.62 2.20 12.16 20.11 10.38 4.42 2.89 2.29 4.9
1980 1.62 1.28 1.14 0.94 1.18 5.92 18.56 24.28 10.29 4.25 2.35 1.53 6.1
1981 1.20 0.93 0.65 1.05 1.39 3.22 13.87 17.94 9.85 3.34 2.30 1.53 4.8
1982 1.15 1.10 0.86 0.85 0.72 2.47 11.04 13.70 8.83 3.31 2.41 1.59 4.0
1983 1.23 0.95 0.80 0.89 1.50 1.75 12.50 14.63 17.94 8.99 4.05 2.54 5.6
1984 1.87 1.32 0.85 0.94 1.90 4.78 16.09 15.93 15.17 4.27 2.64 1.79 5.6
1985 1.40 1.11 0.71 0.68 0.97 3.31 16.09 23.51 21.96 8.60 3.70 2.04 7.0
1986 1.42 1.01 0.62 0.82 1.11 7.59 18.25 16.09 16.40 8.27 3.91 2.63 6.5
1987 1.67 1.40 1.03 1.01 1.10 2.89 15.47 19.33 15.93 8.46
1988 9.28 22.58 26.14 14.40 5.78 3.65 2.55
1989 2.54 1.58 1.18 0.90 2.47 7.38 15.25 26.29 13.73 6.94 3.43 2.06 7.0
1990 1.31 1.39 1.17 1.15 2.04 7.98 17.01 18.56 14.26 7.72 3.63 2.21 6.5
1991 1.75 1.16 0.99 1.06 1.78 4.93 11.01 19.80 14.25 4.52 2.46 1.58 5.4
1992 1.40 1.08 0.48 0.33 0.96 2.91 9.61 18.25 15.47 8.62 4.52 3.06 5.6
1993 2.23 1.87 1.14 1.65 2.91 5.88 12.65 18.25 11.21 5.83 3.31 2.01 5.7
1994 1.69 1.39 1.14 0.81 1.50 4.62 10.90 17.63 15.93 5.69 3.56 2.47 5.6
1995 1.29 1.11
Average: 1.52 1.18 0.89 0.93 1.44 5.48 15.33 20.29 14.95 6.81 3.51 2.13 6.15
Mean Monthly Data (Correlated)
Gumbel’s Method for Flood Forecast Analysis
GUMBEL'S METHOD
Year Discharge Order no. (m) Flood Discharge Tp
1969 59.86 1 252.12 27
1970 129.31 2 232.01 13.5
1971 82.6 3 139.21 9
1972 232.01 4 129.31 6.75
1973 252.12 5 126.84 5.4
1974 71.15 6 126.84 4.5
1975 103.63 7 112.91 3.86
1976 34.96 8 103.63 3.38
1977 54.6 9 103.63 3
1978 112.91 10 98.99 2.7
1979 75.79 11 94.35 2.46
1980 126.84 12 89.71 2.25
1981 89.71 13 85.07 2.08
1982 37.9 14 82.6 1.93
1983 126.84 15 79.97 1.8
1984 45.32 16 75.79 1.69
1985 85.07 17 71.15 1.59
1986 139.21 18 68.83 1.5
1987 103.63 19 68.83 1.43
1988 94.35 20 68.83 1.35
1989 79.97 21 59.86 1.29
1990 68.83 22 58.01 1.23
1991 98.99 23 54.6 1.18
1992 58.01 24 45.32 1.13
1993 68.83 25 37.9 1.08
1994 68.83 26 34.96 1.04
Gumbel Parameters Mean (x) 96.20269231
Std deviation(σ) 51.43283741
Reduced Mean (y) 0.532
Reduced stdev s 1.0961
Return Period Reduced Variate (yt) Frequency Factor (K) Estimated Discharge (Xt)
2 0.366512921 -0.150978085 88.43746099
5 1.499939987 0.88307635 141.6218146
10 2.250367327 1.567710362 176.8344844
20 2.970195249 2.224427743 210.6113227
50 3.901938658 3.074481031 254.3319753
100 4.600149227 3.71147635 287.094452
1000 6.907255071 5.816307883 395.35191
2000 7.600652407 6.448911967 427.888533
5000 8.517093183 7.285004272 470.8911326
0
50
100
150
200
250
300
350
400
450
500
1 10 100 1000
Flo
w (
m³/
s)
Return Period (yrs)
Flood Forecast
Gumbel Method
Rating Curve
Stage (ft) Flow(cfs)
11.08924 2113.936
13.51706 4566.5396
12.04068 2916.9915
15.74803 8193.3559
16.07612 8903.5338
11.58137 2512.6386
16.07612 3659.6589
9.612861 1234.6008
10.66273 1928.1808
12.79528 3987.3791
11.81102 2676.4986
13.45144 4479.3124
11.05643 3168.0788
10.1706 1338.4259
13.45144 4479.3124
10.5643 1600.4607
12.13911 3004.2187
13.77953 4916.1548
12.79528 3659.6589
12.46719 3331.9388
11.94226 2824.1139
11.48294 2430.7085
12.63123 3495.7989
10.99081 2048.6038
11.48294 2430.7085
11.48294 2430.7085
0
1
2
3
4
5
0 25 50 75 100 125 150 175 200 225 250 275 300
Stag
e (m
)
Discharge (m3/s)
Rating Curve
Gauge Height Log. (Gauge Height)
Flood Inundation Mapping
Geometric Data
Data imported from HEC-Geo RAS
Assigning Manning’s Roughness Coefficient
Steady Flow Data
Assign a constant flow in cfs.
Modify Reach Boundary Condition
Rating curve was provided in this project.
Photos of site