Follow
International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020]For more details click here

Login as a Reviewer

Indexed in



National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2018: 95.39
For more details click here

See Guidelines to Authors
Current Issues

Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2019.8(12): 2359-2367
DOI: https://doi.org/10.20546/ijcmas.2019.812.278


Long Term Rainfall Trend Analysis of Different Time Series in Solapur District of Maharashtra, India
J. K. Joshi*, S. K. Upadhye and D. D. More
Department of Soil and Water Conservation Engineering, M.P.K.V., Rahuri, India
*Corresponding author
Abstract:

The long term behaviour of rainfall is necessary to study over space with different time series viz. annual, seasonal, monthly and weekly as it is one of the most significant climatic variable. Rainfall trend is an important tool which assesses the impact of climate change and provides direction to cope up with its adverse effects on the agriculture. Nine different stations of Solapur district were selected to carry out trend analysis where rainfed agriculture is major practice. The daily rainfall data of 57 years (1961-2017) of all stations has been processed out study the rainfall variability. To detect the monotonic trend, the non-parametric Mann-Kendall test was applied and the magnitude of trend is estimated by using Sen’s Slope estimation method. The declining trends for annual, seasonal and monthly rainfall were found to be statistically significant. Most of the considered time series in different tahsil of Solapur district showed significantly decreasing trend in rainfall, so judicious utilisation of available water is necessary for sustainability in crop production.


Keywords: Rainfall, Trend, Mann-Kendall test, Sen’s slope estimation
Download this article as Download

How to cite this article:

Joshi, J. K., S. K. Upadhye and More, D. D. 2019. Long Term Rainfall Trend Analysis of Different Time Series in Solapur District of Maharashtra, India.Int.J.Curr.Microbiol.App.Sci. 8(12): 2359-2367. doi: https://doi.org/10.20546/ijcmas.2019.812.278