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Publicado: 16 de mayo de 2013
UNIVERSIDAD NACIONAL AGRARIA LA MOLINA
FACULTAD DE INGENIERIA AGRICOLA
DEPARTAMENTO DE RECURSOS DE AGUA Y TIERRA
II CURSO NACIONAL DE
HIDROLOGIA
Hidrología de Microcuencas
Ejemplo 1
Ing°Mg.Sc. Ricardo Apaclla Nalvarte
Ing. M.Sc. Ricardo Apaclla Nalvarte
Año
1996
1997
1998
1999
2000
2001
2002
Ene.
22.6
18.3
20.2
14.2
12.2
20.5
20.0
Feb.
27.2
25.2
22.6
18.318.3
19.3
33.2
Precipitación máxima en 24 horas (mm).-Estación Vilcashuamán
Mar.
Abr.
May.
Jun.
Jul.
Ago.
Set.
Oct.
18.2
18.2
18.3
12.0
24.6
14.2
22.1
12.4
12.3
8.2
8.5
0.20.0
15.9
2.3
3.8
0.0
0.2
11.7
11.9
9.2
0.0
0.0
6.6
0.0
0.0
0.2
0.0
0.0
2.6
0.0
6.5
0.0
2.2
11.7
9.3
8.8
0.0
0.0
1.2
10.5
2.1
27.6
18.3
10.7
18.3
19.912.6
10.2
6.2
13.6
9.6
5.5
18.3
13.5
11.4
Nov.
12.2
22.0
15.6
18.3
18.1
12.0
10.3
Dic.
15.4
15.2
17.2
15.3
18.3
10.5
29.9
Máx.
27.6
25.2
22.6
18.3
24.6
20.5
33.2 ESTACION VILCASHUAMAN.-PRECIPITACION MAXIMA EN 24 HORAS (mm)
Distribution Analysis: Pearson Type III
First Moment (mean) = 24.5714
Second Moment = 2.397e01
Skew = 4.244e-01
DistributionAnalysys: Pearson Type III
Point
Weibull
Actual
Predicted
Standard
Number
Probability
Value
Value
Deviation
1
0.1250
18.3
19.9
1.62
2
0.2500
20.5
21.0
1.32
3
0.3750
22.6
22.2
1.884
0.5000
24.6
23.4
2.37
5
0.6250
25.2
24.9
2.70
6
0.7500
27.6
26.8
2.95
7
0.8750
33.2
30.0
3.70
Exceedence
Probability
0.995
0.990
0.980
0.960
0.900
0.800
0.667
0.500Predictions
Return
Calculated
Period
Value
200
44.0
100
41.0
50
38.0
25
35.0
10
31.0
5
27.9
3
25.5
2
23.4
Standard
Deviation
16.43
12.89
9.67
6.87
4.13
3.11
2.78
2.37Pearson Type III
40
30
Value
Actual Data
20
10
Distribution
0
0.0
0.2
0.4
0.6
Weibull Probability
0.8
1.0
ESTACION VILCASHUAMAN.-PRECIPITACION MAXIMA EN 24...
FACULTAD DE INGENIERIA AGRICOLA
DEPARTAMENTO DE RECURSOS DE AGUA Y TIERRA
II CURSO NACIONAL DE
HIDROLOGIA
Hidrología de Microcuencas
Ejemplo 1
Ing°Mg.Sc. Ricardo Apaclla Nalvarte
Ing. M.Sc. Ricardo Apaclla Nalvarte
Año
1996
1997
1998
1999
2000
2001
2002
Ene.
22.6
18.3
20.2
14.2
12.2
20.5
20.0
Feb.
27.2
25.2
22.6
18.318.3
19.3
33.2
Precipitación máxima en 24 horas (mm).-Estación Vilcashuamán
Mar.
Abr.
May.
Jun.
Jul.
Ago.
Set.
Oct.
18.2
18.2
18.3
12.0
24.6
14.2
22.1
12.4
12.3
8.2
8.5
0.20.0
15.9
2.3
3.8
0.0
0.2
11.7
11.9
9.2
0.0
0.0
6.6
0.0
0.0
0.2
0.0
0.0
2.6
0.0
6.5
0.0
2.2
11.7
9.3
8.8
0.0
0.0
1.2
10.5
2.1
27.6
18.3
10.7
18.3
19.912.6
10.2
6.2
13.6
9.6
5.5
18.3
13.5
11.4
Nov.
12.2
22.0
15.6
18.3
18.1
12.0
10.3
Dic.
15.4
15.2
17.2
15.3
18.3
10.5
29.9
Máx.
27.6
25.2
22.6
18.3
24.6
20.5
33.2 ESTACION VILCASHUAMAN.-PRECIPITACION MAXIMA EN 24 HORAS (mm)
Distribution Analysis: Pearson Type III
First Moment (mean) = 24.5714
Second Moment = 2.397e01
Skew = 4.244e-01
DistributionAnalysys: Pearson Type III
Point
Weibull
Actual
Predicted
Standard
Number
Probability
Value
Value
Deviation
1
0.1250
18.3
19.9
1.62
2
0.2500
20.5
21.0
1.32
3
0.3750
22.6
22.2
1.884
0.5000
24.6
23.4
2.37
5
0.6250
25.2
24.9
2.70
6
0.7500
27.6
26.8
2.95
7
0.8750
33.2
30.0
3.70
Exceedence
Probability
0.995
0.990
0.980
0.960
0.900
0.800
0.667
0.500Predictions
Return
Calculated
Period
Value
200
44.0
100
41.0
50
38.0
25
35.0
10
31.0
5
27.9
3
25.5
2
23.4
Standard
Deviation
16.43
12.89
9.67
6.87
4.13
3.11
2.78
2.37Pearson Type III
40
30
Value
Actual Data
20
10
Distribution
0
0.0
0.2
0.4
0.6
Weibull Probability
0.8
1.0
ESTACION VILCASHUAMAN.-PRECIPITACION MAXIMA EN 24...
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