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Analysis of seasonal and annual rainfall trends for Ranchi district, Jharkhand, India

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Abstract

The aim of this study was to investigate temporal variation in seasonal and annual rainfall trend over Ranchi district of Jharkhand, India for the period (1901–2014: 113 years). Mean monthly rainfall data series were used to determine the significance and magnitude of the trend using non-parametric Mann–Kendall and Sen’s slope estimator. The analysis showed a significant decreased in rainfall during annual, winter and southwest monsoon rainfall while increased in pre-monsoon and post-monsoon rainfall over the Ranchi district. A positive trend is detected in pre-monsoon and post-monsoon rainfall data series while annual, winter and southwest monsoon rainfall showed a negative trend. The maximum decrease in rainfall was found for monsoon (− 1.348 mm year−1) and minimum (− 0.098 mm year−1) during winter rainfall. The trend of post-monsoon rainfall was found upward (0.068 mm year−1). The positive and negative trends of annual and seasonal rainfall were found statistically non-significant except monsoon rainfall at 5% level of significance. Rainfall variability pattern was calculated using coefficient of variation CV, %. Post-monsoon rainfall showed the maximum value of CV (70.80%), whereas annual rainfall exhibited the minimum value of CV (17.09%), respectively. In general, high variation of CV was found which showed that the entire region is very vulnerable to droughts and floods.

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Acknowledgements

The authors thank to Indian water portal, India Metrological Department and Department of Agro-Meteorology and Environmental Science, Birsa Agricultural University, Kanke, Ranchi for providing rainfall data of Ranch district.

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  1. Department of Environmental Sciences, Central University of Jharkhand, Ranchi, 835205, India

    Shashank Shree & Manoj Kumar

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  1. Shashank Shree
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  2. Manoj Kumar
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Correspondence to Shashank Shree.

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Shree, S., Kumar, M. Analysis of seasonal and annual rainfall trends for Ranchi district, Jharkhand, India. Environ Earth Sci 77, 693 (2018). https://doi.org/10.1007/s12665-018-7884-6

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