LR706 East African Flood Model_ Fiddes - Transport for Development

TABLE 1
Details of storms and summary
of analysis
Catchment
TIWI
MUDANDA
MI GWANI
KAJIADO
ESERET
KIAM
BU I
KIAMBU 11
SAOSA
BARABILI
MUNYERE
SUB
RUBAARE
LUGULA
Date
of
Storm
21/4/70
9/5/72
11/5/72
6/7/12
Z6/11/69
14/4/71
1/12/71
2/12/71
4/1 1/72
11/11/72
19/11/72
i4/1 1/69
i3/11/71
2/12/71
!0/12/71
15/11/72
2/6/10
1/6/71
!2/12/71
!5/12/71
23/4/70
16/2/73
19/2/73
22/2/73
3/12/68
1/5/71
16/5/71
3/5/72
11/5/72
3/6/72
16/3/58
20/5/60
4/7/60
12/5/61
!9/12/62
1 6/8/66
19/8/70
28/8/71
18/7/71
6/10/71
2/11/71
8/11/71
4/3/72
25/4/70
26/2/72
1/11/69
27/3/70
1/2/72
~ainfa
mm
104.7
58.0
98.9
27.4
14.9
27.5
17.2
20.5
15.8
10.8
22.1
60.4
96.7
66.2
35.4
53.9
24.2
26.4
71.5
64.6
58.2
43.5
67.0
20.6
63.2
45.0
37.7
16.1
12.1
53.6
116.6
25.0
32.2
28.1
45.4
49.5
74.8
01.8
41.1
15.5
24.2
52.3
17.3
89.6
05.2
28.7
42.9
30.8
Peak
flow
n3 see-l
0.289
1.428
5.836
0.354
0.680
0.810
0.370
0.710
0.540
0.340
0.370
59.770
41.930
59.770
75.640
39.320
0.771
0.431
2.011
4.181
2.560
0.960
3.260
0.940
0.097
0.018
0.038
0.053
0.068
0.435
0.642
0.140
0.250
0.156
0.140
0.171
0,235
0.751
0.310
0.190
0.300
0.680
0.110
3.200
8.300
0.364
0.767
0.116
Rainfall
in
prel
30 Days
mm
Record
incom
Negligible
Rai
74.3
277.5
11.2
108.8
6.2
48.9
89.6
20.8
66.8
74.9
129.2
12.0
155.4
238.4
247.4
85.0
88.5
74.7
140.1
113.3
33.8
104.9
215.1
338.0
140.4
76.5
111.2
102.8
0.0
0.0
0.0
0.0
31.5 mm
0.0
199.9
200.4
8.4
111.5
i 36.0
158.2
76.2
195.9
113.2
155.4
241.7
124.8
3US
7 Days
mm
ete
but
all
38.8
242.3
11.2
69,8
1.5
19.6
60.3
14.4
10.7
0.9
89.8
9.0
65.3
31.9
75.5
41.4
14.9
37.0
90.9
Two
storms
on 23/4
0.0
25.6
100.8
189.5
100.7
117.2
67.2
49.2
18.9
0.5
0.0
0.0
0.0
0.0
n 28/12/62
0.0
63,9
56.6
8.4
32.7
48.8
29.8
19.7
88.2
11.9
51.8
37.1
22.8
hsume,
Initial
tetentio
mm
95
25
0
15
3
7
5
8
5
4
7
3
30
3
3
3
15
15
32
0
0
5
0
5
0
0
0
0
0
35
0
0
0
0
0
0
0
0
15
2
8
10
9
0
15
0
0
0
Lag
Time
{ Minf
95
80
70
100
3
3
3
3
3
3
3
30
20
20
20
20
140
140
35
120
5
5
5
5
500
500
400
200
175
150
450
500
375
450
450
450
600
400
7
7
7
7
7
50
50
450
500
600
optimum Values for Modelling
CA
0.050
0.050
0.090
0.050
0.081
0.080
0.047
0.105
0.067
0.067
0.037
0.280
0.430
0.380
0.250
0.350
0.380
0.130
0.100
0.380
0.065
0.029
0.059
0.062
0.035
0.006
0.016
0.017
0.022
0.080
0.030
0.035
0.035
0.030
0.022
0.014
9.030
).065
).047
).052
).061
).120
).036
).02 1
).038
).140
).280
).060
Error
‘unctior
0.0359
0.9842
7.1360
0.2061
0.2000
0.1800
0.0200
0.1500
0.0800
0.0400
0.0200
I 1944.9
!6713.7
!4021.6
2692.1
5659.9
0.1846
0.0799
0.9810
4.5280
4.3300
0.2300
1.1800
0.3100
0.0033
0.0008
0.0017
0.0024
0.0019
0.1807
0.6090
0.0122
0.0124
0.0556
0.0056
0.0535
0.2855
0.3620
0.0100
0.0000
0.0200
0.1900
0.0000
8.1900
1.4000
0.2717
0.8892
0.0304
% Age
Ordinate
Error
50.4
69.6
98.7
47.5
75.5
79.2
59.7
84.4
85,6
90.2
54.2
67.1
57.0
50.2
51.6
33.5
22.3
30.8
39.6
17.0
114.6
56,6
36.7
81.1
12.3
43.0
34.0
26.6
20.1
35.2
34.2
16.3
11.9
32.8
9.5
39.5
45.3
20.6
35.3
44.0
73.5
65.4
38.6
52.5
56.5
37.1
24.0
27.9
Predicted
Peak
FIOW
m3
see-l
0.286
1.263
5.717
0.363
0.680
0.810
0.370
0.700
0.540
0.330
0.380
163.190
233.440
158.230
72.590
135.480
0.767
0.439
2.034
4.074
2.400
0.950
3.580
0.950
0.100
0.012
0.031
0.055
0.071
0.383
0.643
0.144
0.247
0.167
0.135
0.151
0.203
0.815
0.300
0.190
0.290
0.670
0.110
3.160
8.150
0.363
0.803
0.137
15