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International Journal of
eISSN: 2576-4454

Hydrology

Review Article Volume 1 Issue 3

Enveloping curves for the highest floods of river basins in India

Rakhecha PR,1 Singh VP2

1Indian Institute of Tropical Meteorology, India
2Department of Biological & Agricultural Engineering, Texas A & M, University, USA

Correspondence: Rakhecha PR, Indian Institute of Tropical Meteorology, India

Received: August 15, 2017 | Published: September 22, 2017

Citation: Rakhecha PR, Singh VP. Enveloping curves for the highest floods of river basins in India. Int J Hydro. 2017;1(3):79-84. DOI: 10.15406/ijh.2017.01.00015

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Abstract

There are many small as well as large river basins in India. These basins are subjected to flooding in the rainy season when they receive heavy and wide spread rainfall. Envelope curves, obtained by plotting the highest observed floods of various rivers versus their drainage areas, are useful for designing dams and flood control structures on the rivers in those areas where flood records or hydro-meteorological data are not sufficient. In this paper, envelope curves of the highest recorded floods for each of the 3 meteorologically homogeneous regions of India are presented for their use in estimating the maximum probable flood discharge that can be expected in the river basin of a certain size.

Keywords: Enveloping curve, Design flood, Rainstorm, Meteorology, Maximum probable flood

Introduction

About 80 to 90 percent of the annual rainfall over most parts of India falls during the southwest monsoon season between June and September.1,2 Dams on the rivers are built in order to store the excess water for its use throughout the year. There are over 3000 dams in India and more new dams are being constructed for securing water supply for the growing population.3 When a dam is constructed across a river, a spillway or spillway system is built as a safety feature to pass the greatest flood that can occur from heavy rainfall over the drainage basin. The magnitude of this greatest flood that could arise from heavy rainfall at the dam site is called the spillway design flood. Design floods for a basin are estimated by using long period stream flow or rainfall records using statistical or hydro-meteorological methods.4 However, in some river basins where major dams are envisaged long term stream flow or rainfall data may often be inadequate. For basins catchments with sparse or no data, the dam design becomes a more difficult problem. For such a situation, hydrologists have developed methods for transferring information on stream flow/rainfall data from a meteorologically and topographically analogous region to the location at which the design flood value is required. A study towards the development of a method of utilizing the flood discharge data available for a number of catchments led to the hypothesis that the maximum flood per unit area experienced during a rainstorm in one catchment is quite likely to be experienced in a nearby catchment of similar meteorological conditions.5 Based on this hypothesis, observed maximum flood discharges from a number of catchments having similar topographical and meteorological conditions were plotted on log-log scale against drainage areas and the plotted points were then enveloped by a smooth curve. Enveloping curves thus obtained have been found to be very useful in estimating the maximum flood discharge value that can be expected in the river basin of a certain size. If equations are fitted to these enveloping curves, they provide empirical flood formulae in the form of Q = k  A n MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqzGeaeaaaaaa aaa8qacaWGrbGaaeiiaiabg2da9iaabccacaWGRbGaaeiiaiaadgea juaGpaWaaWbaaSqabeaajugWa8qacaWGUbaaaaaa@3F10@ where A is the drainage area, Q is discharge, n is exponent and k is a constant. Both n and k can be considered as fitting parameters.

Enveloping curves for river basins in india

The first studies for determining the enveloping curves of maximum floods for river basins in India were carried out by Kanwar Sain & Karpov in 1967 as reported in,6 by utilizing the flood discharge data available for a number of river basins. Two curves, one for the basins of northern & central Indian rivers and other for southern Indian rivers were developed. The envelope curves for India determined by Kanwar Sain & Karpov using data up to 1967 are given in Figure 1.These envelope curves have been used as guidance for estimating the design flood values for many water resources projects in India, like Nagarjunsagar in Andhra Pradesh, Matatila in Uttar Pradesh and Deonur in Karnataka, etc. It is well known that the maximum flood discharge value from a basin of a certain size may change with time because a still higher flood discharge may occur at some time in the future. For example, according to Kale,7 the maximum flood discharge of 42475m3/s for a drainage area of 62225km2 on the Tapi River in the year 1968, the maximum flood discharge of 69400m3/s for a drainage area of 88000km2 on the Narmada River in the year 1970 & the maximum flood discharge of 44827m3/s for a drainage area of 127000 km2 on the Mahanadi River in the year 1982 have been higher than those recorded before the year 1967. Also, Rakhecha8 found that the maximum flood discharge of 16307m3/s for a drainage area of 1930km2 was the highest on the Machhu River in the year 1979. It is seen that the recent floods lie above the enveloping curves of Kanwar Sain & Karpov. It is therefore concluded that the flood observations after the 1967 have significantly altered the envelope curves. As such, the existing envelope curves of India are old as compared with the new data published in numerous scientific papers and reports,9 as also pointed out above. Thus, there is a need for a fresh study of enveloping curves for the highest floods in India so that they can be used for estimating the design floods for the dams that may be constructed now and in the future.

Figure 1 Envelope curves (after Kanwar Sain & Karpov, 1967).

Rivers in India

There are numerous small as well as great rivers in India that flow in various parts of the country (Figure 2). These rivers can be classified into two major groups. The first group consists of all the great rivers and their tributaries of the Himalayan region in the northern part of India and the second consist of the rivers of the central and peninsular India. The main Himalayan Rivers are the Indus, Ganga and the Brahmaputra. These Rivers are both snow fed and rain fed and therefore are perennial and carry large amounts of water and sediments. The combined drainage area of the Ganga River basin and its tributaries (Yamuna, Son, Betwa, Chambal, Damodar, Gandak, Ghagra, Gomati, Mahakali, Kosi, and Ramganga) totals about 861404km2 which accounts for 25 per cent of the area of India. The basin covers several states of India. In summer monsoon season their water levels are very high and they have a long flood season lasting from June to September. The major dams and barrages on the Ganga are Tehri dam, Vishnuprayag dam, Bhimgauda barrage, Pashulok barrage, Bijnor barrage, Narora barrage, Kanpur barrage, and Farakka barrage. The rivers in central and southern India are the Mahanadi, Subarnarekha, Tapi, Narmada, Godavari, Krishna, Mahi, Sabarmati, Cauvery and the Pennar. These rivers depend on rainfall for water and therefore are non-perennial. There are numerous coastal rivers and of these rivers, especially on the west coast are short in length and have limited catchment areas. All the above rivers are subjected to flooding during the southwest monsoon season due to severe rainstorms that occur over their catchments. Table 1 gives some of the basic hydrological data of the 14 major river basins in India. The method of enveloping curve is a regional analysis method which considers that there is a unique relationship between the maximum flood and the basin area in a region that is meteorologically homogeneous. It is therefore important first to determine the meteorologically homogeneous regions for which envelope curves of maximum floods can be developed.

S/No.

River

Length (km)

Drainage area (Km2)

Average annual runoff (km3)

1

Indus

2880

321290

73.3

2

Ganga

2525

861404

525

3

Brahmaputra

2900

187110

537.3

4

Sabarmati

300

21674

3.8

5

Mahi

533

34842

11

6

Narmada

1312

98796

45.6

7

Tapi

724

65145

14.9

8

Subarnarkha

395

19300

12.4

9

Brahmani

800

39033

28.5

10

Mahanadi

857

141600

66.9

11

Godavari

1465

312812

110.6

12

Krishna

1401

258948

78.1

13

Pennar

597

55213

6.3

14

Cauvary

800

87900

21.4

Table 1 Basic hydrological data of the major rivers in India18

Figure 2 Major river systems in India.

Meteorological homogeneous regions

Severe rainstorms (heavy rainfalls) are the main cause of frequent floods on the Indian rivers. For the estimation of flood from a rainstorm in a catchment when the sample of severe rainstorms within the catchment is not adequate, the record is increased by transferring major storms from a meteorologically homogeneous or analogous region to the location for which the flood value is required. Two regions are said to be meteorologically homogeneous if they have

  1. Similar features of climate (mean annual temperature, mean annual rainfall, direction of prevailing winds, etc.)
  2. Identical topographic features
  3. The same moisture source
  4. Occurrence of the same type of rainstorms.1012

Apparently, factors that are responsible in setting meteorological homogeneous regions involve a detailed study of the climatology of spatial distribution of severe rainstorms. Therefore, the spatial distribution and climatological characteristics of severe rainstorms offer much promise in the determination of broad meteorologically homogeneous regions.

Occurrence of severe rainstorms in India: Severe rainstorms or heavy rainfall in India which may last for a period of 3to4 days are generally associated with the movement of cyclonic disturbances across the country that forms over the Bay of Bengal & the Arabian Sea. The rainstorm area may be as large as 400,000km2 and point rainfalls may vary between 40 and 80 cm in 24 hours13 Such rainstorms are the main cause of high rainfall and severe floods in the Indian rivers. The meteorological factors which influence the location of a rainstorm have been described in some detail by.14 These factors important to the occurrence and distribution of severe rainstorms as described by them are summarized here. Normally during the summer monsoon season (June through September) the cyclonic disturbances (mainly depressions with associated winds 20-33 knots) form at the head of the Bay of Bengal to the north of 180N and travel north-westerly across India. The disturbances after travelling a long distance normally become weak due to the decrease of moisture and therefore merge with the low pressure area over northwest India. These disturbances normally produce heavy rainstorms in the region east of 800E (Figure 3). Sometimes, the disturbances after arriving in central India (about 800E), become more intense owing to the additional supply of moisture from the Arabian Sea and then they move in the north easterly direction. In general, such disturbances produce severe rainstorms in the region west of 800E (Figure 3). The disturbances which form over the south Bay of Bengal during the pre and post monsoon months produce heavy rainstorms over the southern parts of India.1517 showed that the following 13 rainstorms produced the largest areal rain depths in India.

  1. September 17-18, 1880
  2. September 20-22, 1990
  3. September 19-21, 1926
  4. July 26-28, 1927
  5. July 28-30, 1927
  6. July 1-3, 1941
  7. May 17-19, 1943
  8. October 3-5, 1955
  9. October 1-3, 1961
  10. September 28-30, 1964
  11. July 13-15, 1965
  12. July 18-21, 1981
  13. August 28-30, 1982
Figure 3 Locations of rainstorms & the three meteorological homogeneous regions.

The rainstorm durations ranged from 2to3 days and were associated with the depressions from the Bay of Bengal. The rain centers of these storms are shown in Figure 3.

Delineation of meteorological homogeneous regions: The spatial distribution of rainstorms with alike meteorological characteristics as discussed above are used as a guide in delineating the meteorologically homogeneous regions for developing the enveloping curves of flood data. It is seen that the rainstorms of September 1880, July 1927, July 1941, and August 1981 occurred far inside the country although the associated disturbances originated in the Bay of Bengal. This was mainly due to the additional moisture supply from the Arabian Sea monsoon currents. Such storms which occur after significant modification from the Arabian Sea currents must form a separate group from those storms which occur without any modification. After consideration of the spatial distribution and meteorological characteristics of the rainstorms and following,14 India is divided into three meteorologically homogeneous regions viz., west of 800E and north of 180N; east of 800E ;north of 180N;south of 180N as shown in Figure 3. The one day average areal rain depths estimated from these rainstorms in their respective regions are given in Table 2 for comparison and to establish the support of dividing the country into three regions. Table 2 shows that the one day average areal rain depths in the three different regions from their respective rainstorms vary between wide limits. The areal rainfall values from the rainstorms in the south of 180N are lower than those of the northern regions.

S/No

Regions

No. of storms

Areas in sq.km

 

 

 

 

 

 

 

 

10

500

1000

5000

10000

20000

I

West of 800E & north of 180N

5

71

67

64

52

44

35

II

East of 800E & north of 180N

5

45

44

43

38

33

27

III

South of 180N

3

39

36

33

25

22

19

Table 2 One day average areal rain depths (cm) of the most severe rainstorms in different regions

Floods in rivers of homogeneous meteorological regions of india

Flood discharges in Indian rivers at various gauging sites are available since about 1950 in numerous scientific papers and reports.711 By pooling together all the information obtained from various publications and reports, the largest flood discharges at sites on major rivers of the three different homogeneous meteorological regions are listed in Table 3. The largest flood discharges on record of rivers in the regions east of 800E and north of 180N, west of 800E and north of 180N and south of 180 N range between 1170 and 73,900m3/s, 1177 and 69,400 m3/s and 13450 and 78,800m3/s respectively.

S/No.

River basin

Stream

Site

Area (km2)

Flood (m3/s)

Year

1

Brahamaputra

Gish

-

133

1,170

Jul-68

2

Subarnarekha

Ramiala

Ramiala

328

3,108

Sept. 1983

3

Ganga

Tons

Meja Rd

17,400

10,800

Jul-71

4

Brahmani

Brahmani

Bolani

18,070

13,570

Aug. 1974

5

Mahanadi

Mahanadi

Kantamel

19,600

15,400

Sept. 1977

6

Ganga

Damodar

Rhondia

19,900

18,100

Aug. 1935

7

Mahanadi

Tel

-

25,045

33,762

2008

8

Ganga

Betwa

Sahijna

43,870

43,800

Jul-71

9

Ganga

Kosi

Barakshetra

59,052

23,085

Aug. 1924

10

Ganga

Sone

Kolewar

67,878

36,800

Jul-71

11

Mahanadi

Mahanadi

Naraj

127,000

44,827

Aug. 1982

12

Brahamaputra

Brahamaputra

Pandu

404,000

72,700

Aug. 1962

13

Ganga

Ganga

Farrakka

935,000

72,900

Aug. 1954


S/No.

River Basin

Stream

Site

Area (km2)

Flood (m3/s)

Year

1

Mahi

Kharm

Patadungri

212

1,177

-

2

Kutch

Moj

Moj

440

3,981

-

3

Kutch

Brahmani

Brahmani

699

5,450

-

4

Kutch

Machhu

Machhu-1

735

9,340

Aug. 1979

5

Kutch

Damanganga

Damanganga

1,813

12,900

-

6

Kutch

Machhu

Machhu-2

1,930

16,307

Aug. 1979

7

Sabarmati

Banas

Dantiwada

2,862

11,950

Aug. 1973

8

Mahi

Mahi

Chandangarh

4,320

8,160

Jun-77

9

Sabarmati

Sabarmati

Dharoi

5,540

14,150

Aug. 1973

10

Indus

Ravi

Madhopur

6,087

26,052

Sept. 1988

11

Ganga

Yamuna

Tajewala

11,059

15,947

Sept. 1947

12

Ganga

Ganga

Rishikest

21,800

16,000

Aug. 1924

13

Ganga

Chambal

Jhalawar

22,584

37,000

Aug. 1969

14

Mahi

Mahi

Kadana

25,491

33,000

-

15

Tapi

Tapi

Ukai

62,225

42,475

Aug. 1968

16

Narmada

Narmada

Garudeshwar

88,000

69,400

Sept. 1970


S/No.

River Basin

Stream

Site

Area (km2)

Flood (m3/s)

Year

1

Godavari

Kadam

Kadam

2,590

13,450

Aug. 1958

2

Godavari

Indravati

Barthagudam

40,000

24,860

Aug. 1976

3

Krishna

Krishna

Vijayawada

257,000

39,000

3-Jul

4

Godavari

Godavari

Dowlaishwaram

309,000

99300

Aug. 1986

Table 3 Highest recorded floods on the river basins located in different regions of India (A) River catchments in the region located east of 800E and north of 180N; (B) River catchments in the region located west of 800E and north of 180N; (C) River catchments in the region located south of 180N

Enveloping curves of the highest floods for the three regions

The studies towards the development of a more rational method of utilizing the flood data available for a number of basins led to the hypothesis that the maximum flood per unit area experienced in one basin is quite likely to be experienced in a nearby basin in the same region possessing similar meteorological characteristics. Based on this hypothesis, observed flood discharges along with their catchment areas ranging for about 100 to about 106km2 for each of the above 3 meteorologically homogeneous zones were used to develop enveloping curves. For this purpose, the observed flood peak data for a number of catchments in each of the three homogeneous regions were plotted on a log-log paper as flood peak versus catchment area. The plotted points are shown in Figure 4 as scattered points. An enveloping curve encompassing all the plotted points for each of the three meteorologically homogeneous zones is then drawn. The enveloping curves for the 3 meteorological zones are shown in Figure 4. The enveloping curve is an upper limit for the floods, and the flood discharges at some sites lie considerably below the curve. The enveloping curves thus obtained are very useful in getting a quick estimation of peak flood value that can be expected in the river catchment of a certain size. Envelope curves of the rivers in the region located east of 800 E and north of 180 N and rivers in the region located west of 800E and north of 180N are close to each other for catchments of size less than 1,000km2 in area. The curve of the other region located south of 180 N is rather different. A steep increase is seen for catchments of size greater than 17,000km2 in the region located west of 800E and north of 180N. It may be noted that the floods being plotted are the maximum floods that have occurred in different basins during the periods of their record. This means that each basin has only one maximum flood value recorded which has the connotation of probable maximum flood. Therefore, its probability distribution cannot be constructed, even though it should have a very low probability of occurrence. In order to further ensure that the design flood does not exceed the recorded maximum flood, an enveloping is developed.

Figure 4 Enveloping curves of the 3 meteorology homogeneous zones o0f India.

Flood peak area relationships

The maximum flood discharge Q from a catchment area A is given by the formula as
Q = k An
Enveloping curves of the three regions in India are given by the following equations:

  1. For river catchments in the region located west of 800E and north of 180N
  2. Q = 0.495  A 1.5 MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqzGeaeaaaaaa aaa8qacaWGrbGaaeiiaiabg2da9iaabccacaaIWaGaaiOlaiaaisda caaI5aGaaGynaiaabccacaWGbbWcpaWaaWbaaeqabaqcLbmapeGaaG ymaiaac6cacaaI1aaaaaaa@4277@  (For drainage catchments under 1000km2)
    Q = 813  A 0.38 MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqzGeaeaaaaaa aaa8qacaWGrbGaaeiiaiabg2da9iaabccacaaI4aGaaGymaiaaioda caqGGaGaamyqaSWdamaaCaaabeqaaKqzadWdbiaaicdacaGGUaGaaG 4maiaaiIdaaaaaaa@41C4@ (For drainage catchments over 1000km2)

  3. For river catchments in the region located east of 800E and north of 180N
  4. Q = 19.5  A 0.96 MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqzGeaeaaaaaa aaa8qacaWGrbGaaeiiaiabg2da9iaabccacaaIXaGaaGyoaiaac6ca caaI1aGaaeiiaiaadgeal8aadaahaaqabeaajugWa8qacaaIWaGaai OlaiaaiMdacaaI2aaaaaaa@427D@  (For drainage catchments under 2000km2)
    Q = 4897  A 0.19 MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqzGeaeaaaaaa aaa8qacaWGrbGaaeiiaiabg2da9iaabccacaaI0aGaaGioaiaaiMda caaI3aGaaeiiaiaadgeal8aadaahaaqabeaajugWa8qacaaIWaGaai OlaiaaigdacaaI5aaaaaaa@428D@ (For drainage catchments over 2000km2)

  5. For river catchments in the region located south of 180N

Q = 735  A 0.37 MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqzGeaeaaaaaa aaa8qacaWGrbGaaeiiaiabg2da9iaabccacaaI3aGaaG4maiaaiwda caqGGaGaamyqaSWdamaaCaaabeqaaKqzadWdbiaaicdacaGGUaGaaG 4maiaaiEdaaaaaaa@41C6@  (For drainage catchments over 1000km2)

Conclusion

Designs of dams and flood control structures require estimates of maximum flood discharges from river catchments. At those river sites where the flood data are meager, the envelope curve obtained by plotting the highest floods versus the drainage area can be used for estimating flood discharges. Using flood data of Indian rivers, Kanwar Sain and Karpov in 1967 developed two enveloping curves one to suit the catchments of south India and other for northern & central India. These enveloping curves are old and moreover the recent floods lie above the enveloping curves. Thus, there is a need for a fresh study of envelope curves for the highest floods observed after the year 1967. Using the recent observed flood data, enveloping curves of the highest floods for the three different meteorologically homogeneous zones, namely rivers in the region located east of 800E and north of 180N; rivers in the region located west of 800E and north of 180N and rivers in the region located south of 180N, have been determined. Envelope curves thus obtained are useful in getting preliminary flood estimates. If equations are fitted to these enveloping curves, they provide empirical flood formulae of the type .

Acknowledgement

None.

Conflict of interest

None.

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