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Geomorphological investigation of the
drainage networks and calculation of the peak
storm runoff of Skarmaga and Agia Triada
streams
Odysseus Manoliadis
Department of Geotechnology and Environmental Engineering
Technological Educational Institute, Koila 50100, Kozani, Greece
e-mail the author

Kostaninos Sachpazis
GEODOMISI S.A., 32 Marni Street, Athens 10442, GREECE
e-mail the author
Submit discussion

ABSTRACT
Drainage basins of Agia Triada and Skarmaga streams lie on
Northern Attica (Greece) and their torrents cross the city of Avlon.
They belong geotectonically to the Sub Pelagonic zone and consist of
schists and sandstones. The paper deals with the geomorphologic and
statistical study of the drainage systems, as well as the calculation of
the peak storm in the river exits. The statistical analysis showed that
the drainage systems were influenced by lithology, as well as all the
systems were in advance maturity stage of development. The peak
storm runoff that was estimated, based on the land use before and
after the disastrous to the forest fire and concerns the extreme values
of the maximum probable peak storm runoff, with a 50 years
recurrence period. The flood levels of the torrents and streams should
be taken seriously into consideration in order to foresee and anticipate
the necessary sewage and drainage work systems. Maintenance of the
channels are finally suggested.

KEYWORDS: peak storm runoff, drainage basins, SCS method
INTRODUCTION
The drainage basins of Agia Triada and Skarmaga streams lie in Northern Attica.
They are surrounded by Koryfi, Agia Trias, Armenias and Drompala Myti and
Vounalaki mountains. The city of Avlon lies 2700m downstream. of the basin areas.
The purpose of this paper is the geomorphological and statistical study as well as the
calculation of the peak storm runoff of the above drainage systems before and after
the fire in the forest area. Since forest consisted a large percentage of the basin area
the results of this investigation should be taken into account for urban planning and
related drainage works.
In the following Table the drainage network is presented that was used to study the
drainage network of Agia Triada (B1) and Skamaga (B2) as well as the drainage
basins. They belong geotectonically to the Sub Pelagonic zone and consist of schists
and anthracites. The drainage network map includes the channels of the topographical
map in HAGS geographical system derived from airphoto-interpretation and field
observations.
The drainage network of the two drainage basin has an area of 1.89Km2 and 1.76Km2
for the Agia Triada and Skarmaga respectively. The characteristics of the two
drainage basins are presented in TABLE 1.
Table 1. Drainage basin characteristics
Basin

Area(m2)

Slope
(%)

Highest Altitude
(m)

Lower Altitude
(m)

Length (km)

B1

1 869 162

28

759

847

1.62

B2

1 764 897

30

195

160

1.41

METHOD OF ANALYSIS
The method of Soil Conservation Service S.C.S. 1972, is used for the calculation of
the peak runoff discharge: For the metric system the peak storm runoff of the
hydrographic basins are given by the following equation:
Qp = 0.278 πA I C
where
A is the area of the drainage basin in Km

(1)
I is the maximum height of rainfall in a period equal to the total basin concentration
time Tc, in mm/hour
C is the runoff curve number or Specific runoff coefficient in various humidity
conditions, in decimal values
Qp Peak storm runoff in m3/sec and
π is the rainfall uniformity coefficient (π = E-1/12)
An empirical equation is used for rainfall - runoff relation:
Q/P = (P - Q) / S

(2)

Q = P2 / (P + S)

(3)

where:
P rainfall height
Q is the basin discharge
S maximum storage
hence

and if the initial losses (Iα) (Hawkins, 1978; Hjelmfelt 1980a; Hjelmfelt 1980b;
Hjelmfelt 1991) are substituted:
Q = (P - Iα)2 / (P + S - Iα)

(4)

with the assumption (Cheng-Lung Chen 1982) Iα = 0.2 S, yields:
Q = (P - 0.2 S)2 / (P + 0.8 S) (1) for P > 0.2 S

(5)

S can be used to the Curve Nunber equation:
C = 1000 / [10 + S/25.4)] (2)

(6)

We separate soil in three categories according to soil wet or dry conditions (TABLE
II).
Table II. AMC Values
Condition of soil

Winter period

Rest periods

(October – April)

(May-September)

AMC I

<12.7

<35.6

AMC II

12.7 - 27.9

35.6-53.3

AMC III

>27.9

>53.3
For different land uses and hydrolithical categories the CN values are presented in
TABLE III.
Table III. CN values according to S.C.S. 1972.
Hydrolithological classification
moderately
marginally
permeable
permeable

Land use

highly
permeable

1

Municipal
Land size

84

92

94

2

500 m2

77

85

90

3

1.000 m2

61

75

83

4

2.000 m2

54

70

80

5

4.000 m2
Industrial
not covered
Bushes
Forest
Crops
Fields
Vineyards
Cultvated trees

51

68

79

81
77
35
30
51
49
62
57

88
86
56
55
67
69
71
73

91
91
70
70
76
79
78
82

6
7
8
9
10
11
12
13

The following relationships are used for C ’s corresponding to AMC I, II, III
according to Chow 1964 and Hawkins 1985.
CNI = CNII / (2.281-0.01281 CNIΙ)
CNIII = CNII / (0.427 + 0.00573 CNII)

(7)
(8)

In order to calculate the rainfall height – rainfall duration and rainfall intensity –
rainfall duration curves, the maximum 24 hour rainfall according to Gumbell was
used, for various recurrence periods. The Montana height-duration curve equation was
accepted for this application:
H=atb

(9)

where H in height of a rainfall duration in time t
b constant usually from 0.33 to 0.50 (here b=0.33)
Equivalent
I = H/t = Hhour X tb - 1

(10)

Curves (1) and (2) are straight lines in logarithmic scale.
According to the above mentioned methodology, the intensity (I) of the rainfall in
duration equal to the total basin concentration time Tc of each basin is given by:
4√ A + 1.5 L
Tc =

(11)
0.80√Ym - Yo

where:
Tc = concentration time of drainage basin (hours)
A = drainage basin area (km2)
L = length of drainage basin(km)
Ym = mean altitude of drainage basin(m)
Υο = min altitude of drainage basin(m)

RESULTS
The peak storm runoffs (Qp) were calculated at the exits of the drainage sub-basins.
Geometry, basin concentration time and the uniformity coefficient of these drainage
basins were estimated (TABLE I).
The mean annual height of precipitation is 374.5mm based on observations of the
meteorological station of Marathon for the observation time-period 1958-1998.
Based on the maximum 24 hour rainfalls we estimated, according to Gumbell
analysis, the expected rainfall height for a recurrence period of 5, 25, and 50 years as
described in TABLE IV:

Table IV. Gumbell analysis for 5, 25 and 50 years
61.1

< X5 <

104.5

72.9

< X10 <

133.2

87.3

< X25 <

170.1

104.1

< X50 <

216.9

The rainfall uniformity coefficient were calculated (TABLE V)
Then, the rainfall uniformity coefficient was calculated. TABLE V summarizes the
rainfall uniformity coefficients for the two drainage basins:
Table V. Characteristics of the hydrographical basins.
BASIN
NAME

RAINFALL
UNIFORMITY
COEFFICIENT

B1

0.949

B2

0.954

In order to calculate the runoff curve number or the specific runoff coefficient (CN)
for every elementary homogeneous part of soil area of the two basins the following
analysis was carried out :
a. A land use/cover map was drawn using the data of HAGS. The map was
completed by field observation. The following categories can be distinguished.
1. Forest. 2. Annual cultivation. 3. Bushy areas. 4. Vineyards. 5. Uncultivated
areas and urban areas. The results of the land use/cover are shown classified in
Table IV
b. A hydrolithologic classification map was drawn. The lithological formations
were classified in 4 categories according to the permeability coefficients. These
categories are: 1. permeable formations, 2. moderately permeable formations.
3. low permeable formations and 4. impermeable formations..
c. The runoff curve number (CN) was calculated. This determination is a
derivative of the land use/cover diagram and the hydrolithologic classification
diagram. Data from air photos and satellite photos( Suyfawara et al 1976) of
the studied area were used.
The diagram has five categories of the runoff curve numbers. For each category a
single mean runoff number was used. The runoff curve number (CN) for every
drainage basin resulted from the integration of every combination of land use and
hydrolithologic classification was calculated by the method of Soil Conservation
Method S.C.S. 1972, before and after the disastrous fire are presented in TABLE VI:

Table VI. CN for the drainage areas before and after the disastrous fire
BASIN NAME

CN before
normal/wet

CN after
normal/wet

B1

0.47/0.67

0.56/0.78

B2

0.36/0.56

0.42/0.66
The runoff curves of wet and dry periods were calculated by the known equations as
the S.C.S. method suggests. The maximum 24 hour runoffs (Q) calculated for the two
drainage basins are presented in TABLE VII
The results were based on the maximum 24 hour rainfall which resulted in the rainfall
analysis according to Gumbell, with occurrence period 50 years both in wet and dry
soil conditions before the rainfall.

Table VII. Maximum probable 24 hour runoff
Drainage
basin name

Maximum probable 24 hour runoff
(Q) in mm

Maximum probable 24 hour runoff (Q
in m3 / 24 hour

normal
conditions

wet conditions

normal conditions

wet conditions

B1

57.12

116.15

106763

217103

B2

27.72

83.19

48919

146813

In order to estimate the maximum peak storm runoff of the two drainage basins of
Agia Triada and Skarmaga streams it is necessary to know the mean rainfall intensity
(I) of duration equal to the total basin concentration time Tc of each basin which is
defined as the maximum rainfall height that happened at time Tc in the basin, with
recurrence period of 5. 25 or even 50 years.
The rainfall height-rainfall duration and rainfall intensity – rainfall duration curves
according to 24 hour rainfall resulted by the Gumbell method for rainfalls that took
place in the area with recurrence period T of 50 years and the rainfall height – rainfall
duration curve H= HhourXt0.333 are given in TABLE VIII. The basin concentration
time and rainfall intensity are given in TABLE IX.

Table VIII. Correlation of height and intensity of rainfall and the duration of rainfall
Rainfall
Rainfall
Rainfall height (mm) Rainfall intensity
duration
duration (mm)
(mm/hour)
(hours)
0.1
6
22.440
224.403
0.15
9
25.684
171.228
0.2
12
28.266
141.332
0.25
15
30.447
121.788
0.3
18
32.353
107.842
0.4
24
35.605
89.013
0.5
30
38.352
76.704
0.6
36
40.752
67.921
0.7
42
42.889
61.284
0.8
0.9
1
1.5
2
2.5
3
4
5
6
7
8
9
10
12
15
20
24
30
40

48
54
60
90
120
150
180
240
300
360
420
480
540
600
720
900
1200
1440
1800
2400

44.850
46.644
48.309
55.293
60.852
65.546
69.648
76.650
82.563
87.731
92.352
96.651
100.413
103.999
110.509
119.033
131.000
139.200
149.938
165.012

56.062
51.826
48.309
36.862
30.426
26.218
23.216
19.163
16.513
14.622
13.193
12.069
11.157
10.400
9.209
7.936
6.550
5.800
4.998
4.125

Table IX. Concentration time Tc and rainfall intensity
DRANAGE
BASIN NAME

Basin concentration time (Tc)
in min

Rainfall intensity (i) with a
duration equal to the basin
concentration time in mm/hour

B1

37

103.9

B2

34

109.9

Finally the peak storm runoff according to the present cover and land use conditions
was estimated. These results are given in Table X

Table X. Peak runoff coefficient
Drainage
basin
name

Area of
the basin
(m2)

Maximum probable storm runoff
(Qp) (m3/s) under normal
conditions before and after the
fireand recurrence period (50
years)

Maximum probable storm runoff
(Qp) (m3/s) under wet conditions
before and after the fire and
recurrence period (50 years)

B1

1869162

25.36/30.43

36.15/43.48
B2

1764897

19.40/23.13

30.18/36.52

CONCLUSIONS
The research conducted was based on empirical models upon experience of the
consultants involved in similar basins. The above mentioned values of storm runoff
refer to extreme values of the maximum probable peak storm runoff that might ever
happen in the study area with 50 year recurrence period. There is no significant
change of the CN values after the disastrous fire merely the soil condition is highly
permeable. The corresponding peak storm runoff resulted in a change of less than
20%.
The flood levels of the streams should be taken seriously into consideration in order to
foresee and anticipate the necessary sewage and drainage work systems
It must be mentioned that the channels of the streams of the area must be maintained
and cleaned regularly.

REFERENCES
1. Cheng-lung, C., 1982: Infiltration Formulas by Curve Number Procedure. J.
Hydr. Div. ASCE, 108(7), 823-829.
2. Chow, V.T., 1964, Handbook of Applied Hydrology, Section 21. Mc GrawHill, New York.
3. Hawkinks, R.H., 1978: Runnoff curve numbers with varying site Moisture. J.
Irrig. and Drain. Div., ASCE, 104(4),389-398.
4. Hawkins, R.H., 1983: Discussion of "Antecedent Moisture Condition
Probabilities", by D.D. Gray et J. Irrig. and Drain. Engrg., ASCE 109(2), 298299.
5. Hawkins, R.H., Hjelmfelt A.T. and Zevenbergen A.W., 1985. Runoff
Probability, Storm depth and curve numbers. J. Irrig. and Drain. Engrg., ASCE,
111 (4), 330-340.
6. Hjelmfelt, A.T. 1980 b: An empirical investigation of the curve number
technique. J. Hydr. Div. ASCE, 106(9), 1471-1476.
7. Hjelmfelt, A.T. 1991: Investigation of Curve Number Procedure. J. Hydr. Div.
ASCE, 117(6), 725-737.
8. Hjelmfelt, A.T., 1980 a: Curve number Procedure as infiltration Method. J.
Hydr. div., ASCE, 106(6), 1107-1110.
9. Soil Conservation Service, U.S.D.A. 1972: S.C.S National Engineering
Handbook, Section 4. Hydrology, Soil Conservation Service, U.S. Dept. of
Agriculture, Washington D.C.
10. Sugawara, M.E., Ozaki E., Watanabe I. and Katsuyama Y., 1976: On a Method
of forecasting the daily discharge of the Mae Nam Chao Phraya and its
tributuries at several Points by Means of tank model. Research Notes of the
N.R.C.D.P., No. 24, 1-156.

© 2002 ejge

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  • 1. Geomorphological investigation of the drainage networks and calculation of the peak storm runoff of Skarmaga and Agia Triada streams Odysseus Manoliadis Department of Geotechnology and Environmental Engineering Technological Educational Institute, Koila 50100, Kozani, Greece e-mail the author Kostaninos Sachpazis GEODOMISI S.A., 32 Marni Street, Athens 10442, GREECE e-mail the author Submit discussion ABSTRACT Drainage basins of Agia Triada and Skarmaga streams lie on Northern Attica (Greece) and their torrents cross the city of Avlon. They belong geotectonically to the Sub Pelagonic zone and consist of schists and sandstones. The paper deals with the geomorphologic and statistical study of the drainage systems, as well as the calculation of the peak storm in the river exits. The statistical analysis showed that the drainage systems were influenced by lithology, as well as all the systems were in advance maturity stage of development. The peak storm runoff that was estimated, based on the land use before and after the disastrous to the forest fire and concerns the extreme values of the maximum probable peak storm runoff, with a 50 years recurrence period. The flood levels of the torrents and streams should be taken seriously into consideration in order to foresee and anticipate the necessary sewage and drainage work systems. Maintenance of the channels are finally suggested. KEYWORDS: peak storm runoff, drainage basins, SCS method
  • 2. INTRODUCTION The drainage basins of Agia Triada and Skarmaga streams lie in Northern Attica. They are surrounded by Koryfi, Agia Trias, Armenias and Drompala Myti and Vounalaki mountains. The city of Avlon lies 2700m downstream. of the basin areas. The purpose of this paper is the geomorphological and statistical study as well as the calculation of the peak storm runoff of the above drainage systems before and after the fire in the forest area. Since forest consisted a large percentage of the basin area the results of this investigation should be taken into account for urban planning and related drainage works. In the following Table the drainage network is presented that was used to study the drainage network of Agia Triada (B1) and Skamaga (B2) as well as the drainage basins. They belong geotectonically to the Sub Pelagonic zone and consist of schists and anthracites. The drainage network map includes the channels of the topographical map in HAGS geographical system derived from airphoto-interpretation and field observations. The drainage network of the two drainage basin has an area of 1.89Km2 and 1.76Km2 for the Agia Triada and Skarmaga respectively. The characteristics of the two drainage basins are presented in TABLE 1. Table 1. Drainage basin characteristics Basin Area(m2) Slope (%) Highest Altitude (m) Lower Altitude (m) Length (km) B1 1 869 162 28 759 847 1.62 B2 1 764 897 30 195 160 1.41 METHOD OF ANALYSIS The method of Soil Conservation Service S.C.S. 1972, is used for the calculation of the peak runoff discharge: For the metric system the peak storm runoff of the hydrographic basins are given by the following equation: Qp = 0.278 πA I C where A is the area of the drainage basin in Km (1)
  • 3. I is the maximum height of rainfall in a period equal to the total basin concentration time Tc, in mm/hour C is the runoff curve number or Specific runoff coefficient in various humidity conditions, in decimal values Qp Peak storm runoff in m3/sec and π is the rainfall uniformity coefficient (π = E-1/12) An empirical equation is used for rainfall - runoff relation: Q/P = (P - Q) / S (2) Q = P2 / (P + S) (3) where: P rainfall height Q is the basin discharge S maximum storage hence and if the initial losses (Iα) (Hawkins, 1978; Hjelmfelt 1980a; Hjelmfelt 1980b; Hjelmfelt 1991) are substituted: Q = (P - Iα)2 / (P + S - Iα) (4) with the assumption (Cheng-Lung Chen 1982) Iα = 0.2 S, yields: Q = (P - 0.2 S)2 / (P + 0.8 S) (1) for P > 0.2 S (5) S can be used to the Curve Nunber equation: C = 1000 / [10 + S/25.4)] (2) (6) We separate soil in three categories according to soil wet or dry conditions (TABLE II). Table II. AMC Values Condition of soil Winter period Rest periods (October – April) (May-September) AMC I <12.7 <35.6 AMC II 12.7 - 27.9 35.6-53.3 AMC III >27.9 >53.3
  • 4. For different land uses and hydrolithical categories the CN values are presented in TABLE III. Table III. CN values according to S.C.S. 1972. Hydrolithological classification moderately marginally permeable permeable Land use highly permeable 1 Municipal Land size 84 92 94 2 500 m2 77 85 90 3 1.000 m2 61 75 83 4 2.000 m2 54 70 80 5 4.000 m2 Industrial not covered Bushes Forest Crops Fields Vineyards Cultvated trees 51 68 79 81 77 35 30 51 49 62 57 88 86 56 55 67 69 71 73 91 91 70 70 76 79 78 82 6 7 8 9 10 11 12 13 The following relationships are used for C ’s corresponding to AMC I, II, III according to Chow 1964 and Hawkins 1985. CNI = CNII / (2.281-0.01281 CNIΙ) CNIII = CNII / (0.427 + 0.00573 CNII) (7) (8) In order to calculate the rainfall height – rainfall duration and rainfall intensity – rainfall duration curves, the maximum 24 hour rainfall according to Gumbell was used, for various recurrence periods. The Montana height-duration curve equation was accepted for this application: H=atb (9) where H in height of a rainfall duration in time t b constant usually from 0.33 to 0.50 (here b=0.33) Equivalent I = H/t = Hhour X tb - 1 (10) Curves (1) and (2) are straight lines in logarithmic scale.
  • 5. According to the above mentioned methodology, the intensity (I) of the rainfall in duration equal to the total basin concentration time Tc of each basin is given by: 4√ A + 1.5 L Tc = (11) 0.80√Ym - Yo where: Tc = concentration time of drainage basin (hours) A = drainage basin area (km2) L = length of drainage basin(km) Ym = mean altitude of drainage basin(m) Υο = min altitude of drainage basin(m) RESULTS The peak storm runoffs (Qp) were calculated at the exits of the drainage sub-basins. Geometry, basin concentration time and the uniformity coefficient of these drainage basins were estimated (TABLE I). The mean annual height of precipitation is 374.5mm based on observations of the meteorological station of Marathon for the observation time-period 1958-1998. Based on the maximum 24 hour rainfalls we estimated, according to Gumbell analysis, the expected rainfall height for a recurrence period of 5, 25, and 50 years as described in TABLE IV: Table IV. Gumbell analysis for 5, 25 and 50 years 61.1 < X5 < 104.5 72.9 < X10 < 133.2 87.3 < X25 < 170.1 104.1 < X50 < 216.9 The rainfall uniformity coefficient were calculated (TABLE V) Then, the rainfall uniformity coefficient was calculated. TABLE V summarizes the rainfall uniformity coefficients for the two drainage basins:
  • 6. Table V. Characteristics of the hydrographical basins. BASIN NAME RAINFALL UNIFORMITY COEFFICIENT B1 0.949 B2 0.954 In order to calculate the runoff curve number or the specific runoff coefficient (CN) for every elementary homogeneous part of soil area of the two basins the following analysis was carried out : a. A land use/cover map was drawn using the data of HAGS. The map was completed by field observation. The following categories can be distinguished. 1. Forest. 2. Annual cultivation. 3. Bushy areas. 4. Vineyards. 5. Uncultivated areas and urban areas. The results of the land use/cover are shown classified in Table IV b. A hydrolithologic classification map was drawn. The lithological formations were classified in 4 categories according to the permeability coefficients. These categories are: 1. permeable formations, 2. moderately permeable formations. 3. low permeable formations and 4. impermeable formations.. c. The runoff curve number (CN) was calculated. This determination is a derivative of the land use/cover diagram and the hydrolithologic classification diagram. Data from air photos and satellite photos( Suyfawara et al 1976) of the studied area were used. The diagram has five categories of the runoff curve numbers. For each category a single mean runoff number was used. The runoff curve number (CN) for every drainage basin resulted from the integration of every combination of land use and hydrolithologic classification was calculated by the method of Soil Conservation Method S.C.S. 1972, before and after the disastrous fire are presented in TABLE VI: Table VI. CN for the drainage areas before and after the disastrous fire BASIN NAME CN before normal/wet CN after normal/wet B1 0.47/0.67 0.56/0.78 B2 0.36/0.56 0.42/0.66
  • 7. The runoff curves of wet and dry periods were calculated by the known equations as the S.C.S. method suggests. The maximum 24 hour runoffs (Q) calculated for the two drainage basins are presented in TABLE VII The results were based on the maximum 24 hour rainfall which resulted in the rainfall analysis according to Gumbell, with occurrence period 50 years both in wet and dry soil conditions before the rainfall. Table VII. Maximum probable 24 hour runoff Drainage basin name Maximum probable 24 hour runoff (Q) in mm Maximum probable 24 hour runoff (Q in m3 / 24 hour normal conditions wet conditions normal conditions wet conditions B1 57.12 116.15 106763 217103 B2 27.72 83.19 48919 146813 In order to estimate the maximum peak storm runoff of the two drainage basins of Agia Triada and Skarmaga streams it is necessary to know the mean rainfall intensity (I) of duration equal to the total basin concentration time Tc of each basin which is defined as the maximum rainfall height that happened at time Tc in the basin, with recurrence period of 5. 25 or even 50 years. The rainfall height-rainfall duration and rainfall intensity – rainfall duration curves according to 24 hour rainfall resulted by the Gumbell method for rainfalls that took place in the area with recurrence period T of 50 years and the rainfall height – rainfall duration curve H= HhourXt0.333 are given in TABLE VIII. The basin concentration time and rainfall intensity are given in TABLE IX. Table VIII. Correlation of height and intensity of rainfall and the duration of rainfall Rainfall Rainfall Rainfall height (mm) Rainfall intensity duration duration (mm) (mm/hour) (hours) 0.1 6 22.440 224.403 0.15 9 25.684 171.228 0.2 12 28.266 141.332 0.25 15 30.447 121.788 0.3 18 32.353 107.842 0.4 24 35.605 89.013 0.5 30 38.352 76.704 0.6 36 40.752 67.921 0.7 42 42.889 61.284
  • 8. 0.8 0.9 1 1.5 2 2.5 3 4 5 6 7 8 9 10 12 15 20 24 30 40 48 54 60 90 120 150 180 240 300 360 420 480 540 600 720 900 1200 1440 1800 2400 44.850 46.644 48.309 55.293 60.852 65.546 69.648 76.650 82.563 87.731 92.352 96.651 100.413 103.999 110.509 119.033 131.000 139.200 149.938 165.012 56.062 51.826 48.309 36.862 30.426 26.218 23.216 19.163 16.513 14.622 13.193 12.069 11.157 10.400 9.209 7.936 6.550 5.800 4.998 4.125 Table IX. Concentration time Tc and rainfall intensity DRANAGE BASIN NAME Basin concentration time (Tc) in min Rainfall intensity (i) with a duration equal to the basin concentration time in mm/hour B1 37 103.9 B2 34 109.9 Finally the peak storm runoff according to the present cover and land use conditions was estimated. These results are given in Table X Table X. Peak runoff coefficient Drainage basin name Area of the basin (m2) Maximum probable storm runoff (Qp) (m3/s) under normal conditions before and after the fireand recurrence period (50 years) Maximum probable storm runoff (Qp) (m3/s) under wet conditions before and after the fire and recurrence period (50 years) B1 1869162 25.36/30.43 36.15/43.48
  • 9. B2 1764897 19.40/23.13 30.18/36.52 CONCLUSIONS The research conducted was based on empirical models upon experience of the consultants involved in similar basins. The above mentioned values of storm runoff refer to extreme values of the maximum probable peak storm runoff that might ever happen in the study area with 50 year recurrence period. There is no significant change of the CN values after the disastrous fire merely the soil condition is highly permeable. The corresponding peak storm runoff resulted in a change of less than 20%. The flood levels of the streams should be taken seriously into consideration in order to foresee and anticipate the necessary sewage and drainage work systems It must be mentioned that the channels of the streams of the area must be maintained and cleaned regularly. REFERENCES 1. Cheng-lung, C., 1982: Infiltration Formulas by Curve Number Procedure. J. Hydr. Div. ASCE, 108(7), 823-829. 2. Chow, V.T., 1964, Handbook of Applied Hydrology, Section 21. Mc GrawHill, New York. 3. Hawkinks, R.H., 1978: Runnoff curve numbers with varying site Moisture. J. Irrig. and Drain. Div., ASCE, 104(4),389-398. 4. Hawkins, R.H., 1983: Discussion of "Antecedent Moisture Condition Probabilities", by D.D. Gray et J. Irrig. and Drain. Engrg., ASCE 109(2), 298299. 5. Hawkins, R.H., Hjelmfelt A.T. and Zevenbergen A.W., 1985. Runoff Probability, Storm depth and curve numbers. J. Irrig. and Drain. Engrg., ASCE, 111 (4), 330-340. 6. Hjelmfelt, A.T. 1980 b: An empirical investigation of the curve number technique. J. Hydr. Div. ASCE, 106(9), 1471-1476. 7. Hjelmfelt, A.T. 1991: Investigation of Curve Number Procedure. J. Hydr. Div. ASCE, 117(6), 725-737.
  • 10. 8. Hjelmfelt, A.T., 1980 a: Curve number Procedure as infiltration Method. J. Hydr. div., ASCE, 106(6), 1107-1110. 9. Soil Conservation Service, U.S.D.A. 1972: S.C.S National Engineering Handbook, Section 4. Hydrology, Soil Conservation Service, U.S. Dept. of Agriculture, Washington D.C. 10. Sugawara, M.E., Ozaki E., Watanabe I. and Katsuyama Y., 1976: On a Method of forecasting the daily discharge of the Mae Nam Chao Phraya and its tributuries at several Points by Means of tank model. Research Notes of the N.R.C.D.P., No. 24, 1-156. © 2002 ejge