Statistical analysis of rainfall trends over Damodar River basin, India

This paper is intended to compute long-term spatiotemporal variability of precipitation on annual and seasonal scale of Damodar River Basin over the period of 113 years (1901–2013). The lag-1 autocorrelation coefficient was applied to check serial dependence in the dataset. After this, non-parametri...

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Bibliographic Details
Published in:Arabian journal of geosciences 2017-08, Vol.10 (15), p.1-12, Article 319
Main Authors: Sharma, Shonam, Saha, Amal Krishna
Format: Article
Language:English
Subjects:
Annual precipitation
Annual rainfall
Atmospheric precipitations
Autocorrelation
Data processing
Dependence
Earth and Environmental Science
Earth science
Earth Sciences
Monsoons
Original Paper
Precipitation
Rain
River basins
Rivers
Seasons
Statistical analysis
Statistical methods
Trends
Wind
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Summary:This paper is intended to compute long-term spatiotemporal variability of precipitation on annual and seasonal scale of Damodar River Basin over the period of 113 years (1901–2013). The lag-1 autocorrelation coefficient was applied to check serial dependence in the dataset. After this, non-parametric Mann Kendall and modified Mann Kendall test were used to identify trends and the Theil-Sen’s slope method to estimate magnitude of trend line. Sequential Mann Kendall test was also applied to detect the potential turning point. Results found significant decreasing precipitation trend in annual and monsoon season over the basin except the southeastern part. The maximum decrease was found for annual and monsoon season at the northwestern part while minimum at the northeastern region. The sequential Mann Kendall test identified several non-significant as well as significant turning points for seasonal and annual rainfall at most of the locations.
ISSN:1866-7511
1866-7538
DOI:10.1007/s12517-017-3096-8