Trend analysis of selected hydro-meteorological variables for the Rietspruit sub-basin, South Africa

Author:

Banda Vincent Dzulani1ORCID,Dzwairo Rimuka Bloodless2,Singh Sudhir Kumar3,Kanyerere Thokozani1

Affiliation:

1. Department of Earth Sciences, University of the Western Cape, Private Bag X17, Bellville 7535, South Africa

2. Department of Civil Engineering, Durban University of Technology, P.O. Box 1334, Midlands, Imbali 3209, South Africa

3. K. Banerjee Centre of Atmospheric & Ocean Studies, University of Allahabad, Nehru Science Centre, Uttar Pradesh, Prayagraj 211002, India

Abstract

Abstract Identifying hydro-meteorological trends is critical for assessing climate change and variability both at a basin and regional level. This study examined the long- and short-term trends from stream discharge, temperature, and rainfall data around the Rietspruit sub-basin in South Africa. The data were subjected to homogeneity testing before performing the trend tests. Inhomogeneity was widely detected in discharge data, hence no further analyses were performed on such data. Temperature and rainfall trends and their magnitudes at yearly, seasonal, and monthly time steps were identified after applying the non-parametric Mann-Kendall and Sen's slope estimator. The possible starting point of a trend was determined by performing the sequential Mann-Kendall test. This study revealed a combination of upward and downward trends in both temperature and rainfall data for the time steps under observation. For rainfall on an annual basis, there were no statistically significant monotonic trends detected, although non-significant downward trends were dominant. However, significant decreasing rainfall trends were observed in dry and low rainfall months, which were April, August, September, and November. In contrast, significant upward temperature trends were detected at the Vereeniging climate station at an annual scale and in October, November, spring, and winter. The findings are critical for climate risk management and reduction decisions for both near- and long-term timescales.

Funder

BRICS

National Research Foundation (NRF) - South Africa

Durban University of Technology

Publisher

IWA Publishing

Subject

Management, Monitoring, Policy and Law,Atmospheric Science,Water Science and Technology,Global and Planetary Change

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