Frequency Analysis of Point Rainfall

Storms of high intensity and varying durations occur from time to time.  However, the probability of these heavy rainfalls varies with locality. The first step in designing engineering projects dealing with flood control, gully control etc. is to determine the probability of occurrence of a particular extreme rainfall. This information is determined by the frequency analysis of point rainfall data. Frequency analysis deals with the chance of occurrence of an event over a specified period of time. Suppose, P is the probability of occurrence of an event (rainfall) whose magnitude is equal to or in excess of a specified magnitude X.  The recurrence interval (return period) is related to P as follows:

Plotting Position Formulae

There are two methods for performing frequency analysis

·         Empirical method

·         Frequency factor method

The excedence probability of the event is obtained by the use of empirical formula, known as plotting position.

 Several plotting position formulas were developed and some of them are given below:

Table 10.1. Plotting position formulae (Source: Subramanya, 2006)

Description: Description: Description: 101.webp

m = rank assigned to the data after arranging them in descending order of magnitude

Thus the maximum value is assigned m =1, the second largest value (m =2), and the lowest value m =N. 

N = number of records. 

 Weibull formula is the most commonly used plotting position formula.

·         Having calculated P and T for all the events in the series, the variation of rainfall magnitude is plotted against the corresponding T on semi-log or log-log paper.  

·         The rainfall magnitude for any recurrence interval can be determined by extrapolating the plot between magnitude and recurrence interval. 

·         Empirical procedures can give good results for small extrapolations but the errors increased with the amount of extrapolation.  

·         For more accurate results, analytical methods using frequency factor are used.

 Example

For a station A, the recorded annual 24 h maximum rainfall is given below.

YearRainfall (cm)YearRainfall (cm)YearRainfall (cm)
195013.0195712.519648.5
195112.0195811.219657.5
19527.619598.919666.0
195314.319608.919678.4
195416.019617.8196810.8
19559.619629.0196910.6
19568.0196310.219708.3
    19719.5

(a)  Estimate the 24 h maximum rainfall with return periods of 13 and 50 years.

(b) What would be the probability of a rainfall of magnitude equal to or exceeding 10 cm occurring in 24 h at station A.

 Solution

mRainfall, cmP =m/n+1T=1/PmRainfall, cmP =m/n+1T=1/P
1160.04323.001290.5221.92
214.30.08711.50138.9  
3130.1307.67148.90.6091.64
412.50.1745.75158.50.6521.53
5120.2174.60168.40.6961.44
611.20.2613.83178.30.7391.35
710.80.3043.291880.7831.28
810.60.3482.88197.80.8261.21
910.20.3912.56207.60.8701.15
109.60.4352.30217.50.9131.10
119.50.4782.092260.9571.05

Rainfall Frequency Curve

Description: Description: Description: 1025.webp

(a)  After interpolating and extrapolating the above graph, we can determine rainfall magnitude for 13 and 50 year return period respectively.

          13 year RI   = 14.55 cm

          50 year RI   = 18.00 cm

(b)  For Rainfall = 10 cm, T =2.4 years and P = 0.417.

Intensity-duration-frequency (IDF) Relationship

In many studies related to watershed management, such as runoff disposal and erosion control, it is necessary to know the rainfall intensities of different durations and return periods.

 The relationship between intensity (i, cm/hr), duration (d, hour) and return period (T, years) can be expressed as follows:

    Description: Description: Description: 103.webp                           (10.1)                            

Where K, x, a and n are constants for a given catchment.

Description: Description: Description: 104.webp


                             Intensity –Duration-Frequency Curve

Typical values of constants K,, x, a, and n for a few selected cities are given below:

Table – Values of constants in equation (29)

(Source: CSWCRTI- Dehradun)

CityKxAn
Bhopal6.930.1890.500.878
Nagpur11.450.1561.251.032
Chandigarh5.820.1600.400.750
Bellary6.160.6940.500.972
Raipur4.680.1390.150.928

Example: Compute 10 year, 1 hour design rainfall intensity for Bhopal and Nagpur.

Solution:

For Bhopal

Description: Description: Description: 105.webp          cm/hr

For Nagpur

Description: Description: Description: 106.webp          cm/hr

Example

Perform the frequency analysis using different graphical methods for the following annual rainfall data. Estimate annual rainfall amount with 100 and 50 years return periods.

YearAnnual rain (mm)YearAnnual rain (mm)YearAnnual rain (mm)
1950115195971.4196868.6
195196.5196083196967
195278196196.5197093
195389.5196288.31971108.8
195494.7196370.61972104.2
195573.3196484.5197389
195679.3196592.7197486
195787.11966101.8  
1958124.8196776.4  

Solution

YearAnnual rain (mm)Data in Descending OrderRank (m)PCa= (m/N)TCa= 1/PcaPH = (m-0.5)/NTH= 1/PHPW= m/ (N+1)TW= 1/PW
CaliforniaHazenWeibull
1950115124.810.0425.000.0250.000.03826.00
195196.511520.0812.500.0616.670.07713.00
195278108.830.128.330.110.000.1158.67
195389.5104.240.166.250.147.140.1546.50
195494.7101.850.25.000.185.560.1925.20
195573.396.560.244.170.224.550.2314.33
195679.396.570.283.570.263.850.2693.71
195787.194.780.323.130.33.330.3083.25
1958124.89390.362.780.342.940.3462.89
195971.492.7100.42.500.382.630.3852.60
19608389.5110.442.270.422.380.4232.36
196196.589120.482.080.462.170.4622.17
196288.388.3130.521.920.52.000.5002.00
196370.687.1140.561.790.541.850.5381.86
196484.586150.61.670.581.720.5771.73
196592.784.5160.641.560.621.610.6151.63
1966101.883170.681.470.661.520.6541.53
196776.479.3180.721.390.71.430.6921.44
196868.678190.761.320.741.350.7311.37
19696776.4200.81.250.781.280.7691.30
19709373.3210.841.190.821.220.8081.24
1971108.871.4220.881.140.861.160.8461.18
1972104.270.6230.921.090.91.110.8851.13
19738968.6240.961.040.941.060.9231.08
197486672511.000.981.020.9621.04
YearAnnual rain (mm)Data in Descending OrderRank (m)PCh=(m-0.3)/(N+0.4)TCh= 1/PChPB=(m-0.44)/(N+0.12)TB= 1/PBPG=(m-3/8)/(N+1/4)TG= 1/PG
ChegodayevBlomGringorten
1950115124.810.0336.290.0244.860.0240.40
195196.511520.0714.940.0616.100.0615.54
195278108.830.119.410.109.810.109.62
195389.5104.240.156.860.147.060.146.97
195494.7101.850.195.400.185.510.185.46
195573.396.560.224.460.224.520.224.49
195679.396.570.263.790.263.830.263.81
195787.194.780.303.300.303.320.303.31
1958124.89390.342.920.342.930.342.93
195971.492.7100.382.620.382.630.382.62
19608389.5110.422.370.422.380.422.38
196196.589120.462.170.462.170.462.17
196288.388.3130.502.000.502.000.502.00
196370.687.1140.541.850.541.850.541.85
196484.586150.581.730.581.730.581.73
196592.784.5160.621.620.621.610.621.62
1966101.883170.661.520.661.520.661.52
196776.479.3180.701.440.701.430.701.43
196868.678190.741.360.741.350.741.36
19696776.4200.781.290.781.280.781.29
19709373.3210.811.230.821.220.821.22
1971108.871.4220.851.170.861.170.861.17
1972104.270.6230.891.120.901.110.901.12
19738968.6240.931.070.941.070.941.07
19748667250.971.030.981.020.981.03

Example

Develop intensity-duration-frequency curve for given data

5 min15 min60 min120 min
YearRainfallYearRainfallYearRainfallYearRainfall
 mm mm mm mm
19080.7919101.3419162.0919172.91
19100.7119141.1319141.8719142.58
19180.6719161.0519101.6419112.28
19140.6619180.9719151.3919082.06
19160.619090.9119081.3419161.77
19120.5619130.8619121.2719131.58
19170.4519150.8419181.1919101.49
19150.3919170.7619171.1419091.45
19130.319110.6119091.0819121.4
19110.2219120.5619111.0519151.35
19090.1519080.4619131.0319181.28

Solution

5 min15 min60 min120 min
YearRainfall IntensityYearRainfall IntensityYearRainfall IntensityYearRainfall Intensity
cm/hcm/hcm/hcm/h
19080.94819080.53619080.20919150.1455
19210.85219150.45219040.18719080.129
19150.80419040.4219150.16419040.114
19340.79219210.38819260.13919210.103
19290.7219260.36419210.13419260.0885
19260.67219340.34419140.12719170.079
19310.5419290.33619310.11919140.0745
19040.46819310.30419340.11419310.0725
19170.3619110.24419290.10819340.07
19140.26419170.22419110.10519290.0675
19110.1819140.18419170.10319110.064
For 5 min duration
YearRainfallRainfall IntensityRankP= (m/(n+1))T= (1/P)
 mmcm/h   
19080.790.94810.083312.00
19210.710.85220.16676.00
19150.670.80430.25004.00
19340.660.79240.33333.00
19290.60.7250.41672.40
19260.560.67260.50002.00
19310.450.5470.58331.71
19040.390.46880.66671.50
19170.30.3690.75001.33
19140.220.264100.83331.20
19110.150.18110.91671.09
For 15 min duration
YearRainfallRainfall IntensityRankP= (m/(n+1))T= (1/P)
mmcm/h
19081.340.53610.083312.00
19211.130.45220.16676.00
19151.050.4230.25004.00
19340.970.38840.33333.00
19290.910.36450.41672.40
19260.860.34460.50002.00
19310.840.33670.58331.71
19040.760.30480.66671.50
19170.610.24490.75001.33
19140.560.224100.83331.20
19110.460.184110.91671.09
For 60 min duration
YearRainfallRainfall IntensityRankP= (m/(n+1))T= (1/P)
mmcm/h
19082.910.20910.083312.00
19212.580.18720.16676.00
19152.280.16430.25004.00
19342.060.13940.33333.00
19291.770.13450.41672.40
19261.580.12760.50002.00
19311.490.11970.58331.71
19041.450.11480.66671.50
19171.40.10890.75001.33
19141.350.105100.83331.20
19111.280.103110.91671.09
For 120 min duration
YearRainfallRainfall IntensityRankP= (m/(n+1))T= (1/P)
mmcm/h
19083.060.145510.083312.00
19212.730.12920.16676.00
19152.430.11430.25004.00
19342.210.10340.33333.00
19291.920.088550.41672.40
19261.730.07960.50002.00
19311.640.074570.58331.71
19041.60.072580.66671.50
19171.550.0790.75001.33
19141.50.0675100.83331.20
19111.430.064110.91671.09
Recurrence IntervalRainfall Intensity (cm/h)
T= (1/P), Year51560120
minminminmin
1.0909090910.180.1840.1030.064
1.20.2640.2240.1050.0675
1.3333333330.360.2440.1080.07
1.50.4680.3040.1140.0725
1.7142857140.540.3360.1190.0745
20.6720.3440.1270.079
2.40.720.3640.1340.0885
30.7920.3880.1390.103
40.8040.420.1640.114
60.8520.4520.1870.129
120.9480.5360.2090.1455
Description: Description: Description: 107.webp

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