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ISSN 2350-1049
International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS)
Vol. 2, Issue 2, pp: (11-15), Month: April 2015 - June 2015, Available at: www.paperpublications.org
Page | 11
Paper Publications
Rainfall Trend Analysis of Mysore District in
Karnataka
Yogananda S. B1
, Shruthi G. K2
, Thimme Gowda P.3
123
Zonal Agricultural Research Station, V. C. Farm, Mandya, Karnataka, India
Abstract: The daily rainfall data of Mysore 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 834.2 mm with 25.8 per
cent variability. The contributing from winter, pre-monsoon, monsoon and post monsoon period to the total
rainfall was 1.2, 11.0, 43.7 and 28.1 per cent. Each standard meteorological week (SMW) from 16th
to 46th
receive
a rainfall of above 20 mm with less variability (within 150%) indicating the crop growing period from 2nd
fortnight
of April to 2nd
fortnight of November. The monthly mean rainfall was observed to be 75.7, 133.0, 75.5, 79.6, 88.2,
120.9, 159.4 and 60.6 for April, May, June, July, August, September October and November months, respectively.
The trend analysis of rainfall indicated that, the mean annual rainfall was changing since 1971with increasing
trend in variability in alternative 10 years cycle. Being a semi-arid climate, Mysore district was frequently affected
by periodical drought and the study indicated out of past 39 years, one year was slight drought (-19 to -25% D
from N) and 6 years were falls under moderate drought (-26 to -50% D from N).
Keywords: Drought, Karnataka, Mysore, 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 Mysore 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).
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 834.2 mm spread with coefficient of variation of
ISSN 2350-1049
International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS)
Vol. 2, Issue 2, pp: (11-15), Month: April 2015 - June 2015, Available at: www.paperpublications.org
Page | 12
Paper Publications
25.8 %. The maximum rainfall was 1577.0 mm during 1994 followed by 1156.8 mm in 1996 and 1077.7 mm in 1995; and
the minimum was 493.8 mm in 1982 and 548.5 in 1974. The normal range i.e. between ± 19 of mean annual rainfall was
544.0 to 910.1 mm. Out of 39 years, ten years viz., 1972, 1977, 1987, 1994, 1995, 1996, 1997, 2000, 2008 and 2009
received excess of rainfall (+>19%%). Whereas seven years viz., 1974, 1982, 1985, 1990, 2001, 2002 and 2007 received
less than -26 to -49% rainfall than the normal range and these seven years are declared as moderate drought years. In
general, the annual precipitation receipt in this region was not normal and varied significantly. and the normal rainfall
from 19971 to 2009 ranges from 468.9 mm to 1577 mm.
The rainfall of 39 years (Table 2) ranged from 468.9 mm to 1577.0 mm with a mean of 834.2 mm. The standard deviation
(SD) was moderately high (215.3) with a coefficient of variation (CV) of 25.8 per cent, indicating moderately high
variability and dependability on rainfall. The 10 years decadal analysis (Table 2) indicated that, the mean annual rainfall
was varied consistently with alternative decades with slightly high coefficient of variation (<25 %). During better rainfall
years, 1991-2000 (10 years) mean rainfall was 1020.7 mm with higher SD (247.7) and CV (24.3%). While, during the
period 1981-1990, this region experienced moderate drought (mean rainfall of 695.2 mm) with lower SD (135.8) and CV
(19.5 %).
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 364.2 mm of rainfall was received in south-west monsoon
contributing to 43.7% per cent to total amount of rainfall with coefficient of variation of 35.0% indicating its
dependability. For post-monsoon season, the rainfall received was 234.7 mm and thus contributing 28.1% to the total with
coefficient of variation of 58.7%. Pre-monsoon rainfall also contributed substantially (92.2 mm), 11.0% of the total with
68.4% coefficient of variation, in winter, the rainfall was 10.2 mm are thus contributing 1.2% to the total with coefficient
of variation of 232.3%. The monthly rainfall analysis indicated that the crop growing period in Mysore district was started
from May month and remain up to end of November as indicated by the less coefficient of variation (<100%) 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 16th
to 46th
received rainfall more than 20 mm. It indicated that from April
III week onwards the crop season starts and extended up to November III 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
especially in the months of June and July. These results clearly indicated that, farmers in Mysore started sowing the crops
like Cotton, tobacco, pulses and oilseeds in the month of April itself due to sufficient rainfall available for land
preparation, sowing and germination of crops seeds. However, due to low and inconsistent rainfall in the months of June
and July, the seedlings are more prone to shortage of moisture and reduction in the plant population or even complete
failure of crops is most common in this region. Hence, more importance in this region should be given on saving the crop
seedlings through protective irrigation or some mid season corrections like dust mulching, residue mulching, in situ water
conservation practices, spraying of anti-transparent etc. In case of complete failure of main crop in such situation we need
to suggest contingency crops like short duration pulses to utilize the forthcoming seasons. Since some parts of Mysore
district contain deep black soil, the end season rainfall peak at October II and November I fortnight, made more successful
post-monsoon crops in deep black soil under stored soil moisture condition.
IV. CONCLUSION
On the basis above, it was concluded that Mysore district received mean annual rainfall of 834.2 mm with less coefficient
of variation (25.8%) and there was much deviation among the different years. This region received more amount of pre-
monsoon rainfall (18.87% of total rainfall) and it was start from April III week (>20 mm rainfall in each week) and helped
in land preparation and subsequent sowing of crops like cotton, finger millet, pulses and oil seeds and in Hunsur taluk
tobacco. But there was a break in monsoon in June and July months 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 last week and November I week (30-50 mm of
ISSN 2350-1049
International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS)
Vol. 2, Issue 2, pp: (11-15), Month: April 2015 - June 2015, Available at: www.paperpublications.org
Page | 13
Paper Publications
rainfall in both the weeks) helps in better storage of moisture for rabi season crops like chickpea and sorghum and also
short duration pusses like green gram, black gram etc.
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.
APPENDIX - A
Table: 1. Year wise mean rainfall and % rainfall departure from normal at Mysore district of Karnataka
Year Mean
% RF departure
from normal
Situation
Year Mean % RF departure from normal Situation
1971 904.5 8.4 N 1991 1094.8 31.2 E
1972 1075.3 28.9 E 1992 675.9 -19.0 N
1973 820.8 -1.6 N 1993 924.5 10.8 N
1974 548.5 -34.2 MD 1994 1577 89.0 E
1975 805.4 -3.5 N 1995 1077.7 29.2 E
1976 809.1 -3.0 N 1996 1156.8 38.7 E
1977 1052.1 26.1 E 1997 1066.1 27.8 E
1978 739.4 -11.4 N 1998 774.1 -7.2 N
1979 964 15.6 N 1999 866.2 3.8 N
1980 639.6 -23.3 SD 2000 994.3 19.2 E
1981 741.8 -11.1 N 2001 560 -32.9 MD
1982 493.8 -40.8 MD 2002 538.5 -35.4 MD
1983 867 3.9 N 2003 759.5 -9.0 N
1984 823.8 -1.2 N 2004 700.4 -16.0 N
1985 468.9 -43.8 MD 2005 910.5 9.1 N
1986 689.3 -17.4 N 2006 836.3 0.3 N
1987 734 19.23 E 2007 1052.1 -47.27 MD
1988 714.2 2.90 N 2008 778.1 23.27 E
1989 818.8 -7.93 N 2009 879.9 25.70 E
1990 600.8 -40.17 MD
Mean = 834.2 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: (11-15), Month: April 2015 - June 2015, Available at: www.paperpublications.org
Page | 14
Paper Publications
Table: 2. Annual Rainfall (mm) variability between 1971to 2009 (39 years) at Mysore
Decades 1971-1981 1981-1990 1991-2000 2001-2009
Mean 835.9 695.2 1020.7 801.0
SD 169.1 135.8 247.7 169.7
CV% 20.2 19.5 24.3 21.2
Table: 3. Mean seasonal and annual rainfall of Mysore district of Karnataka
Month Mean SD CV (%) % of Total
January 5.5 20.1 368.5 0.7
February 4.7 13.1 277.6 0.6
March 16.4 36.2 220.9 2.0
April 75.7 57.4 75.8 9.1
May 133.0 76.7 57.6 15.9
June 75.5 45.9 60.9 9.0
July 79.6 45.9 57.7 9.5
August 88.2 52.4 59.4 10.6
September 120.9 75.1 62.1 14.5
October 159.4 100.7 63.2 19.1
November 60.6 63.0 104.1 7.3
December 14.7 26.3 179.5 1.8
Winter 10.2 23.6 232.3 1.2
Pre-monsoon 92.2 63.0 68.4 11.0
Monsoon 364.2 127.6 35.0 43.7
Post monsoon 234.7 137.8 58.7 28.1
Total 834.2 215.3 25.8 100.0
Table 4. Weekly rainfall analysis (1971to 2009) at Mysore district of Karnataka
SMW Month and date Mean RF (mm) SD CV%
1 1 - 7 Jan 0.1 0.5 455.9
2 8 - 14 Jan 0.2 1.0 421.1
3 15 - 21 Jan 1.9 9.3 488.2
4 22 - 28 Jan 2.9 18.3 623.9
5 29 Jan - 4 Feb 0.2 0.9 481.8
6 5 - 11 Feb 0.2 0.6 412.4
7 12 - 18 Feb 0.8 2.0 256.3
8 19 - 25 Feb 2.4 9.7 410.7
9 26 Feb - 4 Mar 1.5 7.3 484.5
10 5 - 11 Mar 4.3 16.4 380.6
11 12 - 18 Mar 2.8 10.5 372.8
12 19 - 25 Mar 3.5 14.0 398.9
13 26 Mar - 1 Apr 2.7 7.7 283.0
14 2 - 8 Apr 12.4 24.6 198.7
15 9 - 15 Apr 8.1 11.8 145.8
16 16 - 22 Apr 22.0 33.2 150.8
17 23 - 29 Apr 20.5 26.8 130.9
18 30 Apr - 6 May 25.9 28.7 110.8
ISSN 2350-1049
International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS)
Vol. 2, Issue 2, pp: (11-15), Month: April 2015 - June 2015, Available at: www.paperpublications.org
Page | 15
Paper Publications
19 7 - 13 May 30.9 32.7 105.8
20 14 - 20 May 29.3 32.8 111.9
21 21 - 27 May 30.5 34.9 114.5
22 28 May - 3 Jun 30.2 30.4 100.4
23 4 - 10 Jun 21.0 26.4 125.5
24 11 - 17 Jun 23.7 24.4 103.0
25 18 - 24 Jun 15.3 15.1 98.6
26 25 Jun - 1 Jul 14.7 16.0 108.7
27 2 - 8 Jul 9.4 8.9 94.5
28 9 - 15 Jul 17.3 18.9 109.0
29 16 - 22 Jul 18.6 24.4 130.9
30 23 - 29 Jul 19.1 21.8 113.8
31 30 Jul - 5 Aug 21.6 18.4 85.1
32 6 - 12 Aug 16.5 19.7 118.8
33 13 - 19 Aug 16.9 14.9 87.9
34 20 - 26 Aug 24.1 35.9 149.0
35 27 Aug - 2 Sep 23.0 29.6 128.8
36 3 - 9 Sep 18.9 24.9 131.9
37 10 - 16 Sep 17.3 26.5 152.9
38 17 - 23 Sep 34.6 35.2 101.8
39 24 - 30 Sep 40.1 40.7 101.5
40 1 - 7 Oct 34.1 34.7 101.8
41 8 - 14 Oct 30.3 28.9 95.4
42 15 - 21 Oct 36.2 30.2 83.4
43 22 - 28 Oct 33.9 35.9 105.9
44 29 Oct - 4 Nov 41.8 55.0 131.6
45 5 - 11 Nov 23.7 36.4 153.5
46 12 - 18 Nov 16.1 19.9 123.7
47 19 - 25 Nov 10.2 20.1 197.7
48 26 Nov - 2 Dec 6.8 18.7 274.3
49 3 Dec - 9 Dec 3.1 10.1 327.5
50 10 - 16 Dec 6.2 19.3 311.1
51 17 - 23 Dec 2.2 6.5 291.6
52 24 - 31 Dec 3.9 12.9 332.9

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Rainfall Trend Analysis of Mysore District in Karnataka

  • 1. ISSN 2350-1049 International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS) Vol. 2, Issue 2, pp: (11-15), Month: April 2015 - June 2015, Available at: www.paperpublications.org Page | 11 Paper Publications Rainfall Trend Analysis of Mysore District in Karnataka Yogananda S. B1 , Shruthi G. K2 , Thimme Gowda P.3 123 Zonal Agricultural Research Station, V. C. Farm, Mandya, Karnataka, India Abstract: The daily rainfall data of Mysore 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 834.2 mm with 25.8 per cent variability. The contributing from winter, pre-monsoon, monsoon and post monsoon period to the total rainfall was 1.2, 11.0, 43.7 and 28.1 per cent. Each standard meteorological week (SMW) from 16th to 46th receive a rainfall of above 20 mm with less variability (within 150%) indicating the crop growing period from 2nd fortnight of April to 2nd fortnight of November. The monthly mean rainfall was observed to be 75.7, 133.0, 75.5, 79.6, 88.2, 120.9, 159.4 and 60.6 for April, May, June, July, August, September October and November months, respectively. The trend analysis of rainfall indicated that, the mean annual rainfall was changing since 1971with increasing trend in variability in alternative 10 years cycle. Being a semi-arid climate, Mysore district was frequently affected by periodical drought and the study indicated out of past 39 years, one year was slight drought (-19 to -25% D from N) and 6 years were falls under moderate drought (-26 to -50% D from N). Keywords: Drought, Karnataka, Mysore, 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 Mysore 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). 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 834.2 mm spread with coefficient of variation of
  • 2. ISSN 2350-1049 International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS) Vol. 2, Issue 2, pp: (11-15), Month: April 2015 - June 2015, Available at: www.paperpublications.org Page | 12 Paper Publications 25.8 %. The maximum rainfall was 1577.0 mm during 1994 followed by 1156.8 mm in 1996 and 1077.7 mm in 1995; and the minimum was 493.8 mm in 1982 and 548.5 in 1974. The normal range i.e. between ± 19 of mean annual rainfall was 544.0 to 910.1 mm. Out of 39 years, ten years viz., 1972, 1977, 1987, 1994, 1995, 1996, 1997, 2000, 2008 and 2009 received excess of rainfall (+>19%%). Whereas seven years viz., 1974, 1982, 1985, 1990, 2001, 2002 and 2007 received less than -26 to -49% rainfall than the normal range and these seven years are declared as moderate drought years. In general, the annual precipitation receipt in this region was not normal and varied significantly. and the normal rainfall from 19971 to 2009 ranges from 468.9 mm to 1577 mm. The rainfall of 39 years (Table 2) ranged from 468.9 mm to 1577.0 mm with a mean of 834.2 mm. The standard deviation (SD) was moderately high (215.3) with a coefficient of variation (CV) of 25.8 per cent, indicating moderately high variability and dependability on rainfall. The 10 years decadal analysis (Table 2) indicated that, the mean annual rainfall was varied consistently with alternative decades with slightly high coefficient of variation (<25 %). During better rainfall years, 1991-2000 (10 years) mean rainfall was 1020.7 mm with higher SD (247.7) and CV (24.3%). While, during the period 1981-1990, this region experienced moderate drought (mean rainfall of 695.2 mm) with lower SD (135.8) and CV (19.5 %). 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 364.2 mm of rainfall was received in south-west monsoon contributing to 43.7% per cent to total amount of rainfall with coefficient of variation of 35.0% indicating its dependability. For post-monsoon season, the rainfall received was 234.7 mm and thus contributing 28.1% to the total with coefficient of variation of 58.7%. Pre-monsoon rainfall also contributed substantially (92.2 mm), 11.0% of the total with 68.4% coefficient of variation, in winter, the rainfall was 10.2 mm are thus contributing 1.2% to the total with coefficient of variation of 232.3%. The monthly rainfall analysis indicated that the crop growing period in Mysore district was started from May month and remain up to end of November as indicated by the less coefficient of variation (<100%) 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 16th to 46th received rainfall more than 20 mm. It indicated that from April III week onwards the crop season starts and extended up to November III 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 especially in the months of June and July. These results clearly indicated that, farmers in Mysore started sowing the crops like Cotton, tobacco, pulses and oilseeds in the month of April itself due to sufficient rainfall available for land preparation, sowing and germination of crops seeds. However, due to low and inconsistent rainfall in the months of June and July, the seedlings are more prone to shortage of moisture and reduction in the plant population or even complete failure of crops is most common in this region. Hence, more importance in this region should be given on saving the crop seedlings through protective irrigation or some mid season corrections like dust mulching, residue mulching, in situ water conservation practices, spraying of anti-transparent etc. In case of complete failure of main crop in such situation we need to suggest contingency crops like short duration pulses to utilize the forthcoming seasons. Since some parts of Mysore district contain deep black soil, the end season rainfall peak at October II and November I fortnight, made more successful post-monsoon crops in deep black soil under stored soil moisture condition. IV. CONCLUSION On the basis above, it was concluded that Mysore district received mean annual rainfall of 834.2 mm with less coefficient of variation (25.8%) and there was much deviation among the different years. This region received more amount of pre- monsoon rainfall (18.87% of total rainfall) and it was start from April III week (>20 mm rainfall in each week) and helped in land preparation and subsequent sowing of crops like cotton, finger millet, pulses and oil seeds and in Hunsur taluk tobacco. But there was a break in monsoon in June and July months 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 last week and November I week (30-50 mm of
  • 3. ISSN 2350-1049 International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS) Vol. 2, Issue 2, pp: (11-15), Month: April 2015 - June 2015, Available at: www.paperpublications.org Page | 13 Paper Publications rainfall in both the weeks) helps in better storage of moisture for rabi season crops like chickpea and sorghum and also short duration pusses like green gram, black gram etc. 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. APPENDIX - A Table: 1. Year wise mean rainfall and % rainfall departure from normal at Mysore district of Karnataka Year Mean % RF departure from normal Situation Year Mean % RF departure from normal Situation 1971 904.5 8.4 N 1991 1094.8 31.2 E 1972 1075.3 28.9 E 1992 675.9 -19.0 N 1973 820.8 -1.6 N 1993 924.5 10.8 N 1974 548.5 -34.2 MD 1994 1577 89.0 E 1975 805.4 -3.5 N 1995 1077.7 29.2 E 1976 809.1 -3.0 N 1996 1156.8 38.7 E 1977 1052.1 26.1 E 1997 1066.1 27.8 E 1978 739.4 -11.4 N 1998 774.1 -7.2 N 1979 964 15.6 N 1999 866.2 3.8 N 1980 639.6 -23.3 SD 2000 994.3 19.2 E 1981 741.8 -11.1 N 2001 560 -32.9 MD 1982 493.8 -40.8 MD 2002 538.5 -35.4 MD 1983 867 3.9 N 2003 759.5 -9.0 N 1984 823.8 -1.2 N 2004 700.4 -16.0 N 1985 468.9 -43.8 MD 2005 910.5 9.1 N 1986 689.3 -17.4 N 2006 836.3 0.3 N 1987 734 19.23 E 2007 1052.1 -47.27 MD 1988 714.2 2.90 N 2008 778.1 23.27 E 1989 818.8 -7.93 N 2009 879.9 25.70 E 1990 600.8 -40.17 MD Mean = 834.2 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: (11-15), Month: April 2015 - June 2015, Available at: www.paperpublications.org Page | 14 Paper Publications Table: 2. Annual Rainfall (mm) variability between 1971to 2009 (39 years) at Mysore Decades 1971-1981 1981-1990 1991-2000 2001-2009 Mean 835.9 695.2 1020.7 801.0 SD 169.1 135.8 247.7 169.7 CV% 20.2 19.5 24.3 21.2 Table: 3. Mean seasonal and annual rainfall of Mysore district of Karnataka Month Mean SD CV (%) % of Total January 5.5 20.1 368.5 0.7 February 4.7 13.1 277.6 0.6 March 16.4 36.2 220.9 2.0 April 75.7 57.4 75.8 9.1 May 133.0 76.7 57.6 15.9 June 75.5 45.9 60.9 9.0 July 79.6 45.9 57.7 9.5 August 88.2 52.4 59.4 10.6 September 120.9 75.1 62.1 14.5 October 159.4 100.7 63.2 19.1 November 60.6 63.0 104.1 7.3 December 14.7 26.3 179.5 1.8 Winter 10.2 23.6 232.3 1.2 Pre-monsoon 92.2 63.0 68.4 11.0 Monsoon 364.2 127.6 35.0 43.7 Post monsoon 234.7 137.8 58.7 28.1 Total 834.2 215.3 25.8 100.0 Table 4. Weekly rainfall analysis (1971to 2009) at Mysore district of Karnataka SMW Month and date Mean RF (mm) SD CV% 1 1 - 7 Jan 0.1 0.5 455.9 2 8 - 14 Jan 0.2 1.0 421.1 3 15 - 21 Jan 1.9 9.3 488.2 4 22 - 28 Jan 2.9 18.3 623.9 5 29 Jan - 4 Feb 0.2 0.9 481.8 6 5 - 11 Feb 0.2 0.6 412.4 7 12 - 18 Feb 0.8 2.0 256.3 8 19 - 25 Feb 2.4 9.7 410.7 9 26 Feb - 4 Mar 1.5 7.3 484.5 10 5 - 11 Mar 4.3 16.4 380.6 11 12 - 18 Mar 2.8 10.5 372.8 12 19 - 25 Mar 3.5 14.0 398.9 13 26 Mar - 1 Apr 2.7 7.7 283.0 14 2 - 8 Apr 12.4 24.6 198.7 15 9 - 15 Apr 8.1 11.8 145.8 16 16 - 22 Apr 22.0 33.2 150.8 17 23 - 29 Apr 20.5 26.8 130.9 18 30 Apr - 6 May 25.9 28.7 110.8
  • 5. ISSN 2350-1049 International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS) Vol. 2, Issue 2, pp: (11-15), Month: April 2015 - June 2015, Available at: www.paperpublications.org Page | 15 Paper Publications 19 7 - 13 May 30.9 32.7 105.8 20 14 - 20 May 29.3 32.8 111.9 21 21 - 27 May 30.5 34.9 114.5 22 28 May - 3 Jun 30.2 30.4 100.4 23 4 - 10 Jun 21.0 26.4 125.5 24 11 - 17 Jun 23.7 24.4 103.0 25 18 - 24 Jun 15.3 15.1 98.6 26 25 Jun - 1 Jul 14.7 16.0 108.7 27 2 - 8 Jul 9.4 8.9 94.5 28 9 - 15 Jul 17.3 18.9 109.0 29 16 - 22 Jul 18.6 24.4 130.9 30 23 - 29 Jul 19.1 21.8 113.8 31 30 Jul - 5 Aug 21.6 18.4 85.1 32 6 - 12 Aug 16.5 19.7 118.8 33 13 - 19 Aug 16.9 14.9 87.9 34 20 - 26 Aug 24.1 35.9 149.0 35 27 Aug - 2 Sep 23.0 29.6 128.8 36 3 - 9 Sep 18.9 24.9 131.9 37 10 - 16 Sep 17.3 26.5 152.9 38 17 - 23 Sep 34.6 35.2 101.8 39 24 - 30 Sep 40.1 40.7 101.5 40 1 - 7 Oct 34.1 34.7 101.8 41 8 - 14 Oct 30.3 28.9 95.4 42 15 - 21 Oct 36.2 30.2 83.4 43 22 - 28 Oct 33.9 35.9 105.9 44 29 Oct - 4 Nov 41.8 55.0 131.6 45 5 - 11 Nov 23.7 36.4 153.5 46 12 - 18 Nov 16.1 19.9 123.7 47 19 - 25 Nov 10.2 20.1 197.7 48 26 Nov - 2 Dec 6.8 18.7 274.3 49 3 Dec - 9 Dec 3.1 10.1 327.5 50 10 - 16 Dec 6.2 19.3 311.1 51 17 - 23 Dec 2.2 6.5 291.6 52 24 - 31 Dec 3.9 12.9 332.9