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

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 wer...

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Autores principales:	Vincent Dzulani Banda, Rimuka Bloodless Dzwairo, Sudhir Kumar Singh, Thokozani Kanyerere
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	climate change and variability homogeneity tests mann-kendall test rietspruit sub-basin south africa Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/2a19696d8a3c4895b145018d22774a73
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spelling	oai:doaj.org-article:2a19696d8a3c4895b145018d22774a732021-11-09T23:59:34ZTrend analysis of selected hydro-meteorological variables for the Rietspruit sub-basin, South Africa2040-22442408-935410.2166/wcc.2021.260https://doaj.org/article/2a19696d8a3c4895b145018d22774a732021-11-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/7/3099https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354Identifying 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. HIGHLIGHTS The need to perform homogeneity tests to avoid erroneous conclusions is emphasised.; The study cautions the direct use of stream discharge data for climate analyses in urban areas.; Long-term data show no significant changes in rainfall while temperature is rising.; Findings will improve the understanding of hydro-meteorological trends specific to the Rietspruit sub-basin mainly due to temperature spatial variability.;Vincent Dzulani BandaRimuka Bloodless DzwairoSudhir Kumar SinghThokozani KanyerereIWA Publishingarticleclimate change and variabilityhomogeneity testsmann-kendall testrietspruit sub-basinsouth africaEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 7, Pp 3099-3123 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	climate change and variability homogeneity tests mann-kendall test rietspruit sub-basin south africa Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
spellingShingle	climate change and variability homogeneity tests mann-kendall test rietspruit sub-basin south africa Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Vincent Dzulani Banda Rimuka Bloodless Dzwairo Sudhir Kumar Singh Thokozani Kanyerere Trend analysis of selected hydro-meteorological variables for the Rietspruit sub-basin, South Africa
description	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. HIGHLIGHTS The need to perform homogeneity tests to avoid erroneous conclusions is emphasised.; The study cautions the direct use of stream discharge data for climate analyses in urban areas.; Long-term data show no significant changes in rainfall while temperature is rising.; Findings will improve the understanding of hydro-meteorological trends specific to the Rietspruit sub-basin mainly due to temperature spatial variability.;
format	article
author	Vincent Dzulani Banda Rimuka Bloodless Dzwairo Sudhir Kumar Singh Thokozani Kanyerere
author_facet	Vincent Dzulani Banda Rimuka Bloodless Dzwairo Sudhir Kumar Singh Thokozani Kanyerere
author_sort	Vincent Dzulani Banda
title	Trend analysis of selected hydro-meteorological variables for the Rietspruit sub-basin, South Africa
title_short	Trend analysis of selected hydro-meteorological variables for the Rietspruit sub-basin, South Africa
title_full	Trend analysis of selected hydro-meteorological variables for the Rietspruit sub-basin, South Africa
title_fullStr	Trend analysis of selected hydro-meteorological variables for the Rietspruit sub-basin, South Africa
title_full_unstemmed	Trend analysis of selected hydro-meteorological variables for the Rietspruit sub-basin, South Africa
title_sort	trend analysis of selected hydro-meteorological variables for the rietspruit sub-basin, south africa
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/2a19696d8a3c4895b145018d22774a73
work_keys_str_mv	AT vincentdzulanibanda trendanalysisofselectedhydrometeorologicalvariablesfortherietspruitsubbasinsouthafrica AT rimukabloodlessdzwairo trendanalysisofselectedhydrometeorologicalvariablesfortherietspruitsubbasinsouthafrica AT sudhirkumarsingh trendanalysisofselectedhydrometeorologicalvariablesfortherietspruitsubbasinsouthafrica AT thokozanikanyerere trendanalysisofselectedhydrometeorologicalvariablesfortherietspruitsubbasinsouthafrica
_version_	1718440728851382272

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

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