Trend analysis of climatic variables in Betwa river basin

SUJEET DESAI; D K SINGH; ADLUL ISLAM; A SARANGI; MANOJ KHANNA

doi:10.56093/ijas.v89i6.90830

Authors

SUJEET DESAI Scientist (LWME), ICAR-CCARI, Goa
D K SINGH Professor, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
ADLUL ISLAM Principal Scientist, Natural Resource Management Division, KAB-II, ICAR, New Delhi
A SARANGI Principal Scientist, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
MANOJ KHANNA Principal Scientist, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India

https://doi.org/10.56093/ijas.v89i6.90830

Keywords:

Betwa basin, Mann-Kendall test, Sen's slope, Trend analysis

Abstract

A study was undertaken to establish the annual trend in climatic variables of the Betwa basin located in Central India. District wise daily data (1971â€“2007) of rainfall, maximum and minimum temperature, relative humidity and wind speed were analysed using Mann-Kendall test and Senâ€™s slope estimator. The annual rainfall in majority of the districts showed non-significant decreasing trend. Maximum temperature exhibited significant increasing trend in nine out of 14 districts, whereas minimum temperature exhibited significant increasing trend in only four districts. Relative humidity has increased significantly in Bhopal and Jhansi districts, whereas wind speed has significantly decreased in Bhopal, Jhansi, Tikamgarh and Vidisha districts. Decrease in the rainfall varied from 0.674 to 6.46 mm/year which was insignificant. The increase in mean daily maximum and minimum temperature varied from 0.014â€“0.022Â°C/year and 0.015â€“0.024Â°C/year, respectively. Significant increase in relative humidity was in the range of 0.18â€“0.34% per year, whereas decrease in the wind speed varied from -0.053 to -0.186 km/h/year. Results of the trend analysis indicated spatial variability in the changes in the different climatic variables.These results will be useful for planning appropriate water management strategies, agricultural crop planning, and preparing location specific adaptation measures.

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