University of Oulu

Pawar U, Hire P, Gunathilake MB, Rathnayake U. Spatiotemporal Rainfall Variability and Trends over the Mahi Basin, India. Climate. 2023; 11(8):163. https://doi.org/10.3390/cli11080163

Spatiotemporal rainfall variability and trends over the Mahi Basin, India

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Author: Pawar, Uttam1; Hire, Pramodkumar1; Gunathilake, Miyuru B.2,3;
Organizations: 1Department of Geography, HPT Arts and RYK Science College, Nashik 422 005, Maharashtra, India
2Hydrology and Aquatic Environment, Environment and Natural Resources, Norwegian Institute of Bioeconomy and Research, 1433 Ås, Norway
3Water, Energy, and Environmental Engineering Research Unit, Faculty of Technology, University of Oulu, P.O. Box 8000, FI-90014 Oulu, Finland
4Department of Civil Engineering and Construction, Faculty of Engineering and Design, Atlantic Technological University, F91 YW50 Sligo, Ireland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 11.9 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe20231017140428
Language: English
Published: Multidisciplinary Digital Publishing Institute, 2023
Publish Date: 2023-10-17
Description:

Abstract

Climate change can have an influence on rainfall that significantly affects the magnitude frequency of floods and droughts. Therefore, the analysis of the spatiotemporal distribution, variability, and trends of rainfall over the Mahi Basin in India is an important objective of the present work. Accordingly, a serial autocorrelation, coefficient of variation, Mann–Kendall (MK) and Sen’s slope test, innovative trend analysis (ITA), and Pettitt’s test were used in the rainfall analysis. The outcomes were derived from the monthly precipitation data (1901–2012) of 14 meteorology stations in the Mahi Basin. The serial autocorrelation results showed that there is no autocorrelation in the data series. The rainfall statistics denoted that the Mahi Basin receives 94.8% of its rainfall (821 mm) in the monsoon period (June–September). The normalized accumulated departure from the mean reveals that the annual and monsoon rainfall of the Mahi Basin were below average from 1901 to 1930 and above average from 1930 to 1990, followed by a period of fluctuating conditions. Annual and monsoon rainfall variations increase in the lower catchment of the basin. The annual and monsoon rainfall trend analysis specified a significant declining tendency for four stations and an increasing tendency for 3 stations, respectively. A significant declining trend in winter rainfall was observed for 9 stations under review. Likewise, out of 14 stations, 9 stations denote a significant decrease in pre-monsoon rainfall. Nevertheless, there is no significant increasing or decreasing tendency in annual, monsoon, and post-monsoon rainfall in the Mahi Basin. The Mann–Kendall test and innovative trend analysis indicate identical tendencies of annual and seasonal rainfall on the basin scale. The annual and monsoon rainfall of the basin showed a positive shift in rainfall after 1926. The rainfall analysis confirms that despite spatiotemporal variations in rainfall, there are no significant positive or negative trends of annual and monsoon rainfall on the basin scale. It suggests that the Mahi Basin received average rainfall (867 mm) annually and in the monsoon season (821 mm) from 1901 to 2012, except for a few years of high and low rainfall. Therefore, this study is important for flood and drought management, agriculture, and water management in the Mahi Basin.

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Series: Climate
ISSN: 2225-1154
ISSN-E: 2225-1154
ISSN-L: 2225-1154
Volume: 11
Issue: 8
Article number: 163
DOI: 10.3390/cli11080163
OADOI: https://oadoi.org/10.3390/cli11080163
Type of Publication: A1 Journal article – refereed
Field of Science: 1171 Geosciences
1172 Environmental sciences
Subjects:
Funding: The authors are extremely grateful to the Science and Engineering Research Board (SERB), Department of Science and Technology (DST), Government of India, Project Number: EMR/2016/002590, dated 21 February 2017, for providing financial support to carry out this research work.
Copyright information: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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