Climate Change Impact Studies on Historical Rainfall Records: A Case Study of Dindori District, Madhya Pradesh, India


Year : 2022,
Volume & Issue : BPAS-Geology 41F(1), JAN-JUN 2022
Page No. : 90-102,
Article Type : Original Aticle
Article DOI : 10.5958/2320-3234.2022.00008.7 (Received on 20.11.2021, Revised on 27.04.2022, Accepted on 16.05.2022)



O.P. Sahu1, Pitambra Sahu2, Pradeep K. Jain3, Golekar Rushikesh Baburao4
Author’s Affiliation : 1Department of Geology, Govt. Model College, Shahpura Dindori , Madhya Pradesh- 481990, India 2Department of Geography, Govt. Thakur Ranmat Singh College Rewa, Madhya Pradesh- 486001, India 3School of Studies in Geology and Research Centre, Maharaja Chhatrasal Bundelkhand University, Chhatarpur Madhya Pradesh- 471001, India 4Department of Geology, G.B. Tatha Tatyasaheb Khare Commerce, Parvatibai Gurupad Dhere Arts and Shri. Mahesh Janardan Bhosale Science College, Guhagar District Ratnagiri, Maharashtra- 415703, India.

Corresponding Author : Rushikesh Baburao Golekar, Rushikesh Baburao Golekar, Department of Geology, Khare Dhere Bhosale College, Guhagar, District Ratnagiri, Maharashtra- 415703, India,

Climate change is worldwide but its impacts are feeling local. Dindori district is uniquely known for rich forest wealth and tribal communities in Madhya Pradesh India. People derive their livelihood and nutrition security from forest resources. Climate change is likely to impact the distribution of these natural resources by altering their phenology and production. In the present study, long-term rainfall (1901-2018) time series has been applied for rainfall analysis using parametric (Regression) and non-parametric (Mann-Kendal and Sen’s slope estimator) tests. The negative trends have been found in Dindori district, Madhya Pradesh, India. A detailed study has been carried out for rainfall behavior identification of the district. The present study is used for forest, agricultural, water resources development, planning, and mitigation. Keywords Climate change, Dindori district, Rainfall, Regression, and Mann-Kendall test