L. SATHYA1*, S. SANTHANABOSU2
1Department of Soil and Water Conservation Engineering, Agricultural Engineering, College and Research Institute, Tiruchirappalli, 621712, Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu, India
2Department of Soil and Water Conservation Engineering, Agricultural Engineering, College and Research Institute, Tiruchirappalli, 621712, Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu, India
* Corresponding Author : sathutnau@gmail.com
Received : 19-06-2018 Accepted : 26-06-2018 Published : 30-06-2018
Volume : 10 Issue : 12 Pages : 6451 - 6454
Int J Agr Sci 10.12 (2018):6451-6454
Keywords : Precipitation Concentration Index, Parambikulam Aliyar basin, Monthly distribution, Mann Kendal Analysis
Academic Editor : J Ramachandran
Conflict of Interest : None declared
Acknowledgements/Funding : Author thankful to Agricultural Engineering College and Research Institute, Tiruchirappalli, 621712, Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu, India
Author Contribution : All author equally contributed
This paper presents the trend in the annual rainfall and its distribution over Parambikulam Aliyar basin of Tamil Nadu determined using 30 years (1988-2008) monthly rainfall data at 28 rain-gauge stations. The trend analysis was done by using Mann-Kendall test. The results indicated increasing trends in annual rainfall. The mean Precipitation Concentration Index of Valaiyar sub basin and Palar sub basin indicates strongly irregular monthly distribution of annual rainfall. The mean Precipitation Concentration Index of Aliyar sub basin and Sholaiyar sub basin indicates irrugular monthly distribution of annual rainfall. The temporal pattern of rainfall trends analyzed in this study is a basic and important requirement for agricultural planning and management of water resources.
1. Randall D. A., Wood R. A., Bony S., Colman R., Fichefet T., Fyfe J., Kattsov V., Pitman A., Shukla J., Srinivasan J., Stouffer R.J., Sumi A., and Taylor K.E. (2007) Climate Models and Their Evaluation, Climate Change. Cambridge University Press. Cambridge, United Kingdom and New York, NY, USA, 2007.
2. Mulat D., N. Tewodros, D. Solomon, B. Anderson K. and Valenzuela E. (2006) World Bank Policy Research Working Paper 3918.
3. Hameed T., Mariño M.A., DeVries J.J., Tracy J.C. (1997) Journal of Hydrologic Engineering 2(4),154-160.
4. Burn D. H. and Hesch N. M. (2007) Journal of Hydrology, 336, 61–73.
5. Chiew F.H.S. and McMahon T.A. (1993) International Journal of Climatology 13(6), 643-653
6. Douglas E.M., Vogel R.M. and Kroll C.N. (2000) Journal of Hydrology, 240,1, 90-105.
7. Hirsch R.M., Slack J.R., Smith R.A. (1982) Water Resources Research, 18,107–12.
8. Yue S., Pilon P. and Cavadias G. (2002a) Journal of Hydrology 259,254–27.
9. Manikandan M. and Tamilmani D. (2012) Journal of Indian Water Resources Society, 32(1-2), 40–49.
10. De Luis M., Raventos J., Gonzalez-Hidalgo J.C., Sanchez J.R. and Cortina J. (2000) International Journal of Climatology, 20(12), 1451-1469.
11. Oliver J. E. (1980) Monthly precipitation distribution, a comparative index, The Professional Geographer, 32, 300-309.
12. Prashanth K. (2005) HydroGeoLogic, Inc. Annual Groundwater Monitoring Report, California.U.S. Army Corps of Engineers, 107
13. Abdul Malik Z.H. (2013) Masters of Engineering Thesis report, the Department of Civil Engineering, University of Ilorin, Nigeria.