International Research Journal of Agricultural Economics and Statistics

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Spatio-Temporal Analysis of Pattern of Rainfall in Kerala


Affiliations
1 Department of Agricultural Statistics, Pandit Jawaharlal Nehru College of Agriculture and Research Institute, Karaikal (Puducherry), India
2 Department of Computer Science,Pandit Jawaharlal Nehru College of Agriculture and Research Institute, Karaikal (Puducherry), India
     

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Awareness on the spatial and temporal unevenness of average rainfallis essential for efficient management of water resource and agriculture. Variation in rainfall over space and time for a period of 15 years from 2001 to 2015, were studied in Kerala by using cluster analysis using Euclidian distance. The cluster analysis was performed for 3 periods, separately viz., 2001-2005, 2006-2010 and 2011-2015 and the dendrograms were plotted based on the cluster distances. There were large variation the pattern of monthly rainfall in three different periods as the districts formed separate clusters in in each of these periods. Idukki district formed as separate cluster in first period joined with other districts in the second and third period showing the change in the pattern of rainfall.The cophenetic correlation analysis is performed to measure how realistically a dendrogram conserves the pairwise distances between the original unmodeled data points and showed that the clustering fit quite well in all the three periods.

Keywords

Euclidian Distance, Cluster Analysis, Dendrogram, Cophenetic Correlation.
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  • Guhathakurtha, P. (2005). Long-range monsoon rainfall prediction of 2005 for the districts and sub-division Kerala with artificial neural network,Curr. Sci., 90 (6) : 773–777.

  • Guhathakurta, P. and Rajeevan, M. (2007).Trends in the rainfall pattern over India, Internat. J. Climatol., 28 (11) :1453– 1469.

  • Jain,S.K., Kumar, V. and Saharia, M.( 2013).Analysis of rainfall and temperature trends in northeast India, Internat. J. Climatol., 33 (4) : 968-978.

  • Joseph, P.V. and Simon, Anu (2005).Weakening trend of the southwest monsoon current through peninsular India from 1980 to the present.Curr. Sci., 89: 687–694.

  • Krishnakumar, K.N., Prasada Rao, G.S.L.H.V. and Gopakumar, C.S. (2009). Rainfall trends in twentieth century over Kerala, India, Atmospheric Environment., 43 : 1940–1944.

  • Rotstayn, Leon D. and Lohmann, Ulrike (2002).Tropical rainfall trends and the indirect aerosol effect. J. Climate, 15:2103– 2116.

  • Soman, M.R., Krishnakumar, K. and Singh, N. (1988). Decreasing trend in the rainfall of Kerala,Curr. Sci., 57(3): 7–12.

  • Srivatsava, H.N., Dewan, B.N., Dikshit, S.K., Prakasa Rao, G.S., Singh, S.S. and Rao, K.R. (1992). Decadal trends in climate over India. Mausam, 43 : 7–20.


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  • Spatio-Temporal Analysis of Pattern of Rainfall in Kerala

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Authors

K. C. Ayyoob
Department of Agricultural Statistics, Pandit Jawaharlal Nehru College of Agriculture and Research Institute, Karaikal (Puducherry), India
S. Saravanan
Department of Computer Science,Pandit Jawaharlal Nehru College of Agriculture and Research Institute, Karaikal (Puducherry), India

Abstract


Awareness on the spatial and temporal unevenness of average rainfallis essential for efficient management of water resource and agriculture. Variation in rainfall over space and time for a period of 15 years from 2001 to 2015, were studied in Kerala by using cluster analysis using Euclidian distance. The cluster analysis was performed for 3 periods, separately viz., 2001-2005, 2006-2010 and 2011-2015 and the dendrograms were plotted based on the cluster distances. There were large variation the pattern of monthly rainfall in three different periods as the districts formed separate clusters in in each of these periods. Idukki district formed as separate cluster in first period joined with other districts in the second and third period showing the change in the pattern of rainfall.The cophenetic correlation analysis is performed to measure how realistically a dendrogram conserves the pairwise distances between the original unmodeled data points and showed that the clustering fit quite well in all the three periods.

Keywords


Euclidian Distance, Cluster Analysis, Dendrogram, Cophenetic Correlation.

References