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ISSN 2350-1049
International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS)
Vol. 2, Issue 2, pp: (21-25), Month: April 2015 - June 2015, Available at: www.paperpublications.org
Page | 21
Paper Publications
Rainfall Trend Analysis of Hassan District in
Karnataka
Shruthi G. K1
., Thimme Gowda P.2
, Yogananda S. B.3
123
Zonal Agricultural Research Station, V. C. Farm, Mandya, Karnataka, India
Abstract: The daily rainfall data of Hassan district of Karnataka for last 39 years (1971-2009) were analyzed to
study its variability. Being a part of the semi-arid region it receives mean annual rainfall of 784.6 mm with 28.2 per
cent variability. The contributing from winter, pre-monsoon, monsoon and post monsoon period to the total
rainfall was 0.8, 8.3, 56.5 and 23.3 per cent, respectively. Each standard meteorological week (SMW) from 18th
to
45th
receive a rainfall of above 20 mm with less variability (within 145%) indicating the crop growing period from
1st
fortnight of May to 1st
fortnight of November. The monthly mean rainfall was observed to be 87.2, 106.6, 126.3,
101.3, 109.0, 127.5 and 46.5 for May, June, July, August, September, October and November months, respectively.
The trend analysis of rainfall indicated that, the mean annual rainfall was more or less similar since 1971,
however, the variability was showed increasing trend from 1971-1980 to 2001-2009. Being a semi-arid climate,
Hassan district was frequently affected by periodical drought and the study indicated out of past 39 years 5years
were experienced the slight drought (-19 to -25% D from N), 5 years were falls under moderate drought (-26 to -
50% D from N) and one year (1996) was severe drought with -72.3% deviation from Normal.
Keywords: Drought, Hassan, Karnataka Rainfall, Trend, Variability.
I. INTRODUCTION
Rainfall variability is a major factor influencing the agricultural productivity and sustainability in tropics [6]. Rainfall
pattern and the quantity decides the cropping system in the rainfed agriculture. Amount, distribution and intensity of
rainfall mainly determine the choice of any particular crop and agronomic practices. Scientific study on the quantum and
distribution of rainfall if made would enable the farming community to adjust or modify the cropping programme as well
as the cultural operations to utilize the actual moisture available in the field for profitable crop production. Hence, a study
was undertaken at Hassan district to understand the rainfall variability for crop planning purpose. Such analysis is helpful
in prediction of annual and seasonal rainfall probability for the next one or two years, in turn crop planning. Similarly,
rainfall variability analysis at Akola was done by [5]; [4] reported for Bihar and [2] for Kerala and [1] reported the rainfall
variability in coastal district of Karnataka.
II. MATERIALS AND METHODS
Daily rainfall data of 39 years (1971-2009) collected from IMD, Bangalore met centre were used for analysis of
probability and variability. The data were aggregated to weekly, seasonal and annual totals. The mean rainfall, standard
deviation and coefficient of variation for annual seasonal and weekly period were also worked out. The annual rainfall
received was classified based on IMD specification as normal (particular year that received +19 per cent of mean annual
rainfall), excess (year that received more than 19 per cent of mean annual rainfall) and deficit (year that received less than
-19 per cent of the mean annual rainfall).
ISSN 2350-1049
International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS)
Vol. 2, Issue 2, pp: (21-25), Month: April 2015 - June 2015, Available at: www.paperpublications.org
Page | 22
Paper Publications
III. RESULTS AND DISCUSSION
Annual Rainfall:
The data on mean annual rainfall, deviation from normal, coefficient of variation, standard deviation and its classification
are given in Table 1 and 2. The mean annual rainfall of this region was 784.6 mm spread with coefficient of variation of
28.2 %. The maximum rainfall was 1208.9 mm in 2005 followed by 1179.5 mm in 2008 and the minimum was 217.3 mm
in 1996 and 420.2 in 1990. The normal range i.e. between ± 19 of mean annual rainfall was 707.1 to 904.0 mm. Out of 39
years, 12 years received excess of rainfall (19.23 – 46.63%). Whereas five years viz., 1973, 1976, 1985, 1990 and 2009
received -26.0 to -49.0% rainfall than the normal range and these five years are declared as moderate drought years.
During 1996 this district experienced a historic drought with -72.3% deviation in the rainfall than the normal and declared
as a severe drought and caused huge crop losses and claimed many lives.
The rainfall of 39 years (Table 2) ranged from 217.3 mm to 1208.9 mm with a mean of 784.6 mm. The standard deviation
(SD) was moderately high (221.2) with a coefficient of variation (CV) of 28.2 per cent, indicating moderate variability
and dependability on rainfall. The decadal analysis (Table 2) indicated that, the mean annual rainfall was more or less
normal with a moderate coefficient of variation (<32 %). In all the decades starting from 1971-2009 this district received
normal rainfall except in the decades of 1981-1990 (687.7 mm). However, the coefficient of variation was showed
increasing trend from first decade to (1971-1980) to last decade (2001-2009). This clearly indicated that over the years
the dependability of rainfall in this region decreasing due to large variation in the amount and time of rainfall.
Seasonal Rainfall:
The data on mean seasonal rainfall, standard deviation, coefficient of variation and percentage contribution of seasonal
rainfall are presented in Table 3. Highest amount of 443.2 mm of rainfall was received in south-west monsoon
contributing to 56.5% per cent to total amount of rainfall with coefficient of variation of 156.8% indicating its
dependability. For post-monsoon season, the rainfall received was 182.7 mm and thus contributing 23.3% to the total with
coefficient of variation of 72.3%. Pre-monsoon rainfall also contributed substantially (65.4 mm), 8.3% of the total with
245.2% coefficient of variation, in winter, the rainfall was 6.1 mm are thus contributing 0.8% to the total with coefficient
of variation of 314.4%. the monthly rainfall analysis indicated that the crop growing period in Hassan district was started
from May month and remain up to end of October as indicated by the less coefficient of variation (<70%) and more
dependability of rainfall during these months.
Weekly rainfall:
The weekly rainfall analysis was done for mean, standard deviation and coefficient of variation and the relevant data were
presented Table 4. Each standard week from 18th
to 45th
received rainfall more than 20 mm. It indicated that from May I
week onwards the crop season starts and extended up to November I week. However, in between many of the weeks
rainfall was not equally distributed and many times there was a break in monsoon and received less than 20 mm of rainfall
indicating the crop growing in this region during monsoon period was more risky and prone to drought especially
immediately after sowing. Hence, in this district sowing should be delayed up to June I fortnight and the pre-season
rainfall in the month of May be utilized for growing of green manure crops.
IV. CONCLUSION
On the basis above, it was concluded that Hassan district received mean annual rainfall of 784.6 mm with less coefficient
of variation (28.2%) and there was no much deviation among the different years. This region received reasonable amount
of pre-monsoon rainfall (8.3% of total rainfall) and it was start from May I week (>20 mm rainfall in each week) and
helped in land preparation and also growing of green manure crops like sunhemp, horse gram etc. at any cost avoid the
early sowing of crops in the month of May due to uneven rainfall in the month of June. So, sowing in this region should
be started from I fortnight of June. During monsoon season even though crop growing season starts from June I week
(>20 mm rainfall in each week), but there was a break in monsoon and hence, monsoon crops suffer from want of
moisture and in that situation either supplemental irrigation or mid season corrections measures ensure good crop stand
and yield. On the other hand due to end season rainfall peak at October, one should go for short duration pulses to utilize
the remaining moisture.
ISSN 2350-1049
International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS)
Vol. 2, Issue 2, pp: (21-25), Month: April 2015 - June 2015, Available at: www.paperpublications.org
Page | 23
Paper Publications
REFERENCES
[1] Hanumanthappa, M., Ananda, M.R., Sridharaherle,P., Nagesha, L. and Sudhir kamath, K.V.,2010, Annual and
seasonal rainfall variability in coastal district of Karnataka. J. Agrometeorol. 12(2): 266-267.
[2] Krishnakumar, K.N.and Prasada Rao, G.S.L.H.V., 2008, Trends and variability in north east monsoon rainfall over
Kerala. J. Agrometeorol. 10(2): 123-126.
[3] Panse, V.G. and Sukhatme, P.V., 1985, Statistical methods for Agricultural workers. Indian Council of Agricultural
Research, New Delhi.
[4] Singh, P.K., Lathore, L.S., Singh, K.K. and Baxla, A.K., 2009, Rainfall characteristics of North West alluvial plains
of Bihar, J. Agrometeorol. 11(1): 37-41.
[5] Tupe, A.R., Wanjari, S.S. and Bhale,V.M.,2010. Rainfall variability analysis for crop planning at Akola. In: Agro
meteorological Services for farmers, ed. Vyas Pandey, Anand Agric. Univ., Anand, pp 46-50.
[6] Virmani, S.M., 1994, Climate resource characterization in stressed tropical environment. Constraints and
opportunities for sustainable agriculture. In: Stressed ecosystem and sustainable agriculture. Oxford and IBA
publishing Co. (P) Ltd., New Delhi, pp. 149-160.
APENDIX
Table: 1. Year wise mean rainfall and % rainfall departure from normal at Hassan district of Karnataka
Year Mean
% RF departure
from normal
Situation
Year Mean
% RF departure from
normal
Situation
1971 788.7 0.5 N 1991 972.9 24.0 E
1972 942.4 20.1 E 1992 1039.2 32.4 E
1973 567.0 -27.7 MD 1993 778.7 -0.8 N
1974 603.8 -23.0 SD 1994 859.5 9.5 N
1975 841.3 7.2 N 1995 614.4 -21.7 SD
1976 571.5 -27.2 MD 1996 217.3 -72.3 SED
1977 1030.2 31.3 E 1997 707.1 -9.9 N
1978 1002.5 27.8 E 1998 911.5 16.2 N
1979 1104.1 40.7 E 1999 1060.7 35.2 E
1980 935.9 19.3 E 2000 724.1 -7.7 N
1981 612.6 -21.9 SD 2001 696.3 -11.3 N
1982 645.6 -17.7 N 2002 623.9 -20.5 SD
1983 644.7 -17.8 N 2003 601.5 -23.3 SD
1984 746.9 -4.8 N 2004 801.2 2.1 N
1985 430.6 -45.1 MD 2005 1208.9 54.1 E
1986 941.8 20.0 E 2006 767.5 -2.2 N
1987 756.1 -3.6 N 2007 1050.3 33.9 E
1988 764 -2.6 N 2008 1179.5 50.3 E
1989 914 16.5 N 2009 521.7 -33.5 MD
1990 420.2 -46.4 MD
Mean = 784.6 mm IMD Classification: E= Excess RF (>19%), N = Normal RF (± 19%), SLD = Slight Drought (> -19
to -25%), MD =
Moderate Drought (-26 to -49%) and SD = Severe Drought (-50% & above)
ISSN 2350-1049
International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS)
Vol. 2, Issue 2, pp: (21-25), Month: April 2015 - June 2015, Available at: www.paperpublications.org
Page | 24
Paper Publications
Table: 2. Annual Rainfall (mm) variability between 1971to 2009 (39 years) at Hassan
Decades 1971-1981 1981-1990 1991-2000 2001-2009
Mean 838.7 687.7 788.5 817.5
SD 199.2 175.3 249.1 244.1
CV% 23.7 25.5 31.6 29.9
Table: 3. Mean seasonal and annual rainfall of Hassan district of Karnataka
Month Mean SD CV (%) % of Total
January 1.5 5.3 366.7 0.2
February 4.7 12.3 262.2 0.6
March 14.4 33.0 228.3 1.8
April 51.0 43.5 85.3 6.5
May 87.2 51.7 59.3 11.1
June 106.6 62.8 59.0 13.6
July 126.3 72.8 57.6 16.1
August 101.3 56.0 55.3 12.9
September 109.0 68.9 63.2 13.9
October 127.5 92.7 72.8 16.2
November 46.2 38.8 84.0 5.9
December 9.1 15.1 166.0 1.2
Winter 6.1 8.8 314.4 0.8
Pre-monsoon 65.4 22.6 245.2 8.3
Monsoon 443.2 38.2 156.8 56.5
Post monsoon 182.7 47.6 72.3 23.3
Total 784.6 221.2 28.2 100.0
Table: 4. Weekly rainfall analysis (1971to 2009) at Hassan district of Karnataka
SMW Month and date Mean RF (mm) SD CV%
1 1 - 7 Jan 0.2 0.9 390.9
2 8 - 14 Jan 0.7 4.2 624.5
3 15 - 21 Jan 0.5 3.2 624.5
4 22 - 28 Jan 0 0 -
5 29 Jan - 4 Feb 0 0.2 442.8
6 5 - 11 Feb 0.2 1.2 501.6
7 12 - 18 Feb 2.1 10.3 489.6
8 19 - 25 Feb 1.7 5.6 327.6
9 26 Feb - 4 Mar 1.7 9.5 567.4
10 5 - 11 Mar 6.1 28 461.9
11 12 - 18 Mar 0.8 2 239.9
12 19 - 25 Mar 2.8 11.5 412.3
13 26 Mar - 1 Apr 1.8 5.5 298.5
14 2 - 8 Apr 6.1 11.6 189.1
ISSN 2350-1049
International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS)
Vol. 2, Issue 2, pp: (21-25), Month: April 2015 - June 2015, Available at: www.paperpublications.org
Page | 25
Paper Publications
15 9 - 15 Apr 6.5 13 201.1
16 16 - 22 Apr 14.9 20.2 135.9
17 23 - 29 Apr 13 16.9 129.2
18 30 Apr - 6 May 21.4 28.1 131.7
19 7 - 13 May 19.6 23.1 117.8
20 14 - 20 May 16.9 21 124
21 21 - 27 May 18.6 23.4 125.5
22 28 May - 3 Jun 23 26.6 115.6
23 4 - 10 Jun 18.4 22.3 121.3
24 11 - 17 Jun 24 25.8 107.3
25 18 - 24 Jun 29.5 31 105.2
26 25 Jun - 1 Jul 26.5 28.1 106
27 2 - 8 Jul 27.1 28.6 105.8
28 9 - 15 Jul 31.9 30.8 96.6
29 16 - 22 Jul 24.1 30.8 127.6
30 23 - 29 Jul 28.8 30.6 106
31 30 Jul - 5 Aug 26.6 37.6 141.1
32 6 - 12 Aug 24 23.6 98.6
33 13 - 19 Aug 26.1 23.2 89
34 20 - 26 Aug 22.6 23.8 105.3
35 27 Aug - 2 Sep 20.5 36.3 176.8
36 3 - 9 Sep 16.5 26.6 161.3
37 10 - 16 Sep 11.4 15.8 138.9
38 17 - 23 Sep 24.9 28.1 113
39 24 - 30 Sep 42.7 56.4 132
40 1 - 7 Oct 32.9 33.4 101.5
41 8 - 14 Oct 33 39 118.3
42 15 - 21 Oct 25.3 33.7 133.2
43 22 - 28 Oct 21.2 29.2 137.5
44 29 Oct - 4 Nov 33 35.3 107
45 5 - 11 Nov 22 31.4 142.8
46 12 - 18 Nov 12 18.8 156.8
47 19 - 25 Nov 7.7 14.1 182.7
48 26 Nov - 2 Dec 3.1 6.8 221.1
49 3 Dec - 9 Dec 2.5 6.9 278.6
50 10 - 16 Dec 2.3 6.6 288.5
51 17 - 23 Dec 2.3 6.7 289.8
52 24 - 31 Dec 3 11.4 385

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Rainfall Trend Analysis of Hassan District in Karnataka

  • 1. ISSN 2350-1049 International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS) Vol. 2, Issue 2, pp: (21-25), Month: April 2015 - June 2015, Available at: www.paperpublications.org Page | 21 Paper Publications Rainfall Trend Analysis of Hassan District in Karnataka Shruthi G. K1 ., Thimme Gowda P.2 , Yogananda S. B.3 123 Zonal Agricultural Research Station, V. C. Farm, Mandya, Karnataka, India Abstract: The daily rainfall data of Hassan district of Karnataka for last 39 years (1971-2009) were analyzed to study its variability. Being a part of the semi-arid region it receives mean annual rainfall of 784.6 mm with 28.2 per cent variability. The contributing from winter, pre-monsoon, monsoon and post monsoon period to the total rainfall was 0.8, 8.3, 56.5 and 23.3 per cent, respectively. Each standard meteorological week (SMW) from 18th to 45th receive a rainfall of above 20 mm with less variability (within 145%) indicating the crop growing period from 1st fortnight of May to 1st fortnight of November. The monthly mean rainfall was observed to be 87.2, 106.6, 126.3, 101.3, 109.0, 127.5 and 46.5 for May, June, July, August, September, October and November months, respectively. The trend analysis of rainfall indicated that, the mean annual rainfall was more or less similar since 1971, however, the variability was showed increasing trend from 1971-1980 to 2001-2009. Being a semi-arid climate, Hassan district was frequently affected by periodical drought and the study indicated out of past 39 years 5years were experienced the slight drought (-19 to -25% D from N), 5 years were falls under moderate drought (-26 to - 50% D from N) and one year (1996) was severe drought with -72.3% deviation from Normal. Keywords: Drought, Hassan, Karnataka Rainfall, Trend, Variability. I. INTRODUCTION Rainfall variability is a major factor influencing the agricultural productivity and sustainability in tropics [6]. Rainfall pattern and the quantity decides the cropping system in the rainfed agriculture. Amount, distribution and intensity of rainfall mainly determine the choice of any particular crop and agronomic practices. Scientific study on the quantum and distribution of rainfall if made would enable the farming community to adjust or modify the cropping programme as well as the cultural operations to utilize the actual moisture available in the field for profitable crop production. Hence, a study was undertaken at Hassan district to understand the rainfall variability for crop planning purpose. Such analysis is helpful in prediction of annual and seasonal rainfall probability for the next one or two years, in turn crop planning. Similarly, rainfall variability analysis at Akola was done by [5]; [4] reported for Bihar and [2] for Kerala and [1] reported the rainfall variability in coastal district of Karnataka. II. MATERIALS AND METHODS Daily rainfall data of 39 years (1971-2009) collected from IMD, Bangalore met centre were used for analysis of probability and variability. The data were aggregated to weekly, seasonal and annual totals. The mean rainfall, standard deviation and coefficient of variation for annual seasonal and weekly period were also worked out. The annual rainfall received was classified based on IMD specification as normal (particular year that received +19 per cent of mean annual rainfall), excess (year that received more than 19 per cent of mean annual rainfall) and deficit (year that received less than -19 per cent of the mean annual rainfall).
  • 2. ISSN 2350-1049 International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS) Vol. 2, Issue 2, pp: (21-25), Month: April 2015 - June 2015, Available at: www.paperpublications.org Page | 22 Paper Publications III. RESULTS AND DISCUSSION Annual Rainfall: The data on mean annual rainfall, deviation from normal, coefficient of variation, standard deviation and its classification are given in Table 1 and 2. The mean annual rainfall of this region was 784.6 mm spread with coefficient of variation of 28.2 %. The maximum rainfall was 1208.9 mm in 2005 followed by 1179.5 mm in 2008 and the minimum was 217.3 mm in 1996 and 420.2 in 1990. The normal range i.e. between ± 19 of mean annual rainfall was 707.1 to 904.0 mm. Out of 39 years, 12 years received excess of rainfall (19.23 – 46.63%). Whereas five years viz., 1973, 1976, 1985, 1990 and 2009 received -26.0 to -49.0% rainfall than the normal range and these five years are declared as moderate drought years. During 1996 this district experienced a historic drought with -72.3% deviation in the rainfall than the normal and declared as a severe drought and caused huge crop losses and claimed many lives. The rainfall of 39 years (Table 2) ranged from 217.3 mm to 1208.9 mm with a mean of 784.6 mm. The standard deviation (SD) was moderately high (221.2) with a coefficient of variation (CV) of 28.2 per cent, indicating moderate variability and dependability on rainfall. The decadal analysis (Table 2) indicated that, the mean annual rainfall was more or less normal with a moderate coefficient of variation (<32 %). In all the decades starting from 1971-2009 this district received normal rainfall except in the decades of 1981-1990 (687.7 mm). However, the coefficient of variation was showed increasing trend from first decade to (1971-1980) to last decade (2001-2009). This clearly indicated that over the years the dependability of rainfall in this region decreasing due to large variation in the amount and time of rainfall. Seasonal Rainfall: The data on mean seasonal rainfall, standard deviation, coefficient of variation and percentage contribution of seasonal rainfall are presented in Table 3. Highest amount of 443.2 mm of rainfall was received in south-west monsoon contributing to 56.5% per cent to total amount of rainfall with coefficient of variation of 156.8% indicating its dependability. For post-monsoon season, the rainfall received was 182.7 mm and thus contributing 23.3% to the total with coefficient of variation of 72.3%. Pre-monsoon rainfall also contributed substantially (65.4 mm), 8.3% of the total with 245.2% coefficient of variation, in winter, the rainfall was 6.1 mm are thus contributing 0.8% to the total with coefficient of variation of 314.4%. the monthly rainfall analysis indicated that the crop growing period in Hassan district was started from May month and remain up to end of October as indicated by the less coefficient of variation (<70%) and more dependability of rainfall during these months. Weekly rainfall: The weekly rainfall analysis was done for mean, standard deviation and coefficient of variation and the relevant data were presented Table 4. Each standard week from 18th to 45th received rainfall more than 20 mm. It indicated that from May I week onwards the crop season starts and extended up to November I week. However, in between many of the weeks rainfall was not equally distributed and many times there was a break in monsoon and received less than 20 mm of rainfall indicating the crop growing in this region during monsoon period was more risky and prone to drought especially immediately after sowing. Hence, in this district sowing should be delayed up to June I fortnight and the pre-season rainfall in the month of May be utilized for growing of green manure crops. IV. CONCLUSION On the basis above, it was concluded that Hassan district received mean annual rainfall of 784.6 mm with less coefficient of variation (28.2%) and there was no much deviation among the different years. This region received reasonable amount of pre-monsoon rainfall (8.3% of total rainfall) and it was start from May I week (>20 mm rainfall in each week) and helped in land preparation and also growing of green manure crops like sunhemp, horse gram etc. at any cost avoid the early sowing of crops in the month of May due to uneven rainfall in the month of June. So, sowing in this region should be started from I fortnight of June. During monsoon season even though crop growing season starts from June I week (>20 mm rainfall in each week), but there was a break in monsoon and hence, monsoon crops suffer from want of moisture and in that situation either supplemental irrigation or mid season corrections measures ensure good crop stand and yield. On the other hand due to end season rainfall peak at October, one should go for short duration pulses to utilize the remaining moisture.
  • 3. ISSN 2350-1049 International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS) Vol. 2, Issue 2, pp: (21-25), Month: April 2015 - June 2015, Available at: www.paperpublications.org Page | 23 Paper Publications REFERENCES [1] Hanumanthappa, M., Ananda, M.R., Sridharaherle,P., Nagesha, L. and Sudhir kamath, K.V.,2010, Annual and seasonal rainfall variability in coastal district of Karnataka. J. Agrometeorol. 12(2): 266-267. [2] Krishnakumar, K.N.and Prasada Rao, G.S.L.H.V., 2008, Trends and variability in north east monsoon rainfall over Kerala. J. Agrometeorol. 10(2): 123-126. [3] Panse, V.G. and Sukhatme, P.V., 1985, Statistical methods for Agricultural workers. Indian Council of Agricultural Research, New Delhi. [4] Singh, P.K., Lathore, L.S., Singh, K.K. and Baxla, A.K., 2009, Rainfall characteristics of North West alluvial plains of Bihar, J. Agrometeorol. 11(1): 37-41. [5] Tupe, A.R., Wanjari, S.S. and Bhale,V.M.,2010. Rainfall variability analysis for crop planning at Akola. In: Agro meteorological Services for farmers, ed. Vyas Pandey, Anand Agric. Univ., Anand, pp 46-50. [6] Virmani, S.M., 1994, Climate resource characterization in stressed tropical environment. Constraints and opportunities for sustainable agriculture. In: Stressed ecosystem and sustainable agriculture. Oxford and IBA publishing Co. (P) Ltd., New Delhi, pp. 149-160. APENDIX Table: 1. Year wise mean rainfall and % rainfall departure from normal at Hassan district of Karnataka Year Mean % RF departure from normal Situation Year Mean % RF departure from normal Situation 1971 788.7 0.5 N 1991 972.9 24.0 E 1972 942.4 20.1 E 1992 1039.2 32.4 E 1973 567.0 -27.7 MD 1993 778.7 -0.8 N 1974 603.8 -23.0 SD 1994 859.5 9.5 N 1975 841.3 7.2 N 1995 614.4 -21.7 SD 1976 571.5 -27.2 MD 1996 217.3 -72.3 SED 1977 1030.2 31.3 E 1997 707.1 -9.9 N 1978 1002.5 27.8 E 1998 911.5 16.2 N 1979 1104.1 40.7 E 1999 1060.7 35.2 E 1980 935.9 19.3 E 2000 724.1 -7.7 N 1981 612.6 -21.9 SD 2001 696.3 -11.3 N 1982 645.6 -17.7 N 2002 623.9 -20.5 SD 1983 644.7 -17.8 N 2003 601.5 -23.3 SD 1984 746.9 -4.8 N 2004 801.2 2.1 N 1985 430.6 -45.1 MD 2005 1208.9 54.1 E 1986 941.8 20.0 E 2006 767.5 -2.2 N 1987 756.1 -3.6 N 2007 1050.3 33.9 E 1988 764 -2.6 N 2008 1179.5 50.3 E 1989 914 16.5 N 2009 521.7 -33.5 MD 1990 420.2 -46.4 MD Mean = 784.6 mm IMD Classification: E= Excess RF (>19%), N = Normal RF (± 19%), SLD = Slight Drought (> -19 to -25%), MD = Moderate Drought (-26 to -49%) and SD = Severe Drought (-50% & above)
  • 4. ISSN 2350-1049 International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS) Vol. 2, Issue 2, pp: (21-25), Month: April 2015 - June 2015, Available at: www.paperpublications.org Page | 24 Paper Publications Table: 2. Annual Rainfall (mm) variability between 1971to 2009 (39 years) at Hassan Decades 1971-1981 1981-1990 1991-2000 2001-2009 Mean 838.7 687.7 788.5 817.5 SD 199.2 175.3 249.1 244.1 CV% 23.7 25.5 31.6 29.9 Table: 3. Mean seasonal and annual rainfall of Hassan district of Karnataka Month Mean SD CV (%) % of Total January 1.5 5.3 366.7 0.2 February 4.7 12.3 262.2 0.6 March 14.4 33.0 228.3 1.8 April 51.0 43.5 85.3 6.5 May 87.2 51.7 59.3 11.1 June 106.6 62.8 59.0 13.6 July 126.3 72.8 57.6 16.1 August 101.3 56.0 55.3 12.9 September 109.0 68.9 63.2 13.9 October 127.5 92.7 72.8 16.2 November 46.2 38.8 84.0 5.9 December 9.1 15.1 166.0 1.2 Winter 6.1 8.8 314.4 0.8 Pre-monsoon 65.4 22.6 245.2 8.3 Monsoon 443.2 38.2 156.8 56.5 Post monsoon 182.7 47.6 72.3 23.3 Total 784.6 221.2 28.2 100.0 Table: 4. Weekly rainfall analysis (1971to 2009) at Hassan district of Karnataka SMW Month and date Mean RF (mm) SD CV% 1 1 - 7 Jan 0.2 0.9 390.9 2 8 - 14 Jan 0.7 4.2 624.5 3 15 - 21 Jan 0.5 3.2 624.5 4 22 - 28 Jan 0 0 - 5 29 Jan - 4 Feb 0 0.2 442.8 6 5 - 11 Feb 0.2 1.2 501.6 7 12 - 18 Feb 2.1 10.3 489.6 8 19 - 25 Feb 1.7 5.6 327.6 9 26 Feb - 4 Mar 1.7 9.5 567.4 10 5 - 11 Mar 6.1 28 461.9 11 12 - 18 Mar 0.8 2 239.9 12 19 - 25 Mar 2.8 11.5 412.3 13 26 Mar - 1 Apr 1.8 5.5 298.5 14 2 - 8 Apr 6.1 11.6 189.1
  • 5. ISSN 2350-1049 International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS) Vol. 2, Issue 2, pp: (21-25), Month: April 2015 - June 2015, Available at: www.paperpublications.org Page | 25 Paper Publications 15 9 - 15 Apr 6.5 13 201.1 16 16 - 22 Apr 14.9 20.2 135.9 17 23 - 29 Apr 13 16.9 129.2 18 30 Apr - 6 May 21.4 28.1 131.7 19 7 - 13 May 19.6 23.1 117.8 20 14 - 20 May 16.9 21 124 21 21 - 27 May 18.6 23.4 125.5 22 28 May - 3 Jun 23 26.6 115.6 23 4 - 10 Jun 18.4 22.3 121.3 24 11 - 17 Jun 24 25.8 107.3 25 18 - 24 Jun 29.5 31 105.2 26 25 Jun - 1 Jul 26.5 28.1 106 27 2 - 8 Jul 27.1 28.6 105.8 28 9 - 15 Jul 31.9 30.8 96.6 29 16 - 22 Jul 24.1 30.8 127.6 30 23 - 29 Jul 28.8 30.6 106 31 30 Jul - 5 Aug 26.6 37.6 141.1 32 6 - 12 Aug 24 23.6 98.6 33 13 - 19 Aug 26.1 23.2 89 34 20 - 26 Aug 22.6 23.8 105.3 35 27 Aug - 2 Sep 20.5 36.3 176.8 36 3 - 9 Sep 16.5 26.6 161.3 37 10 - 16 Sep 11.4 15.8 138.9 38 17 - 23 Sep 24.9 28.1 113 39 24 - 30 Sep 42.7 56.4 132 40 1 - 7 Oct 32.9 33.4 101.5 41 8 - 14 Oct 33 39 118.3 42 15 - 21 Oct 25.3 33.7 133.2 43 22 - 28 Oct 21.2 29.2 137.5 44 29 Oct - 4 Nov 33 35.3 107 45 5 - 11 Nov 22 31.4 142.8 46 12 - 18 Nov 12 18.8 156.8 47 19 - 25 Nov 7.7 14.1 182.7 48 26 Nov - 2 Dec 3.1 6.8 221.1 49 3 Dec - 9 Dec 2.5 6.9 278.6 50 10 - 16 Dec 2.3 6.6 288.5 51 17 - 23 Dec 2.3 6.7 289.8 52 24 - 31 Dec 3 11.4 385