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Spatio-Temporal Analysis of Surface Water Quality in Mokopane Area, Limpopo, South Africa

Graduate School of Environmental Science, Hokkaido University, Sapporo 060-0810, Japan
Faculty of Environmental Earth Science, Hokkaido University, Sapporo 060-0810, Japan
Natural Resources and Ecosystem Services, Institute for Global Environmental Strategies, Hayama 240-0115, Japan
Department of Water Resources, College of Environment and Natural Resources, Cantho University, Cantho City 900000, Vietnam
Department of Geography, Delhi School of Economics, University of Delhi, Delhi 110007, India
Regional Resource Centre for Asia and the Pacific, Asian Institute of Technology, Pathum Thani 12120, Thailand
State Key Laboratory for Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, Sichuan, China
Center for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Ibaraki 305-8056, Japan
Author to whom correspondence should be addressed.
Water 2021, 13(2), 220;
Received: 23 December 2020 / Revised: 14 January 2021 / Accepted: 14 January 2021 / Published: 18 January 2021
(This article belongs to the Special Issue Water Quality Assessments for Urban Water Environment)
Considering the well-documented impacts of land-use change on water resources and the rapid land-use conversions occurring throughout Africa, in this study, we conducted a spatiotemporal analysis of surface water quality and its relation with the land use and land cover (LULC) pattern in Mokopane, Limpopo province of South Africa. Various physico-chemical parameters were analyzed for surface water samples collected from five sampling locations from 2016 to 2020. Time-series analysis of key surface water quality parameters was performed to identify the essential hydrological processes governing water quality. The analyzed water quality data were also used to calculate the heavy metal pollution index (HPI), heavy metal evaluation index (HEI) and weighted water quality index (WQI). Also, the spatial trend of water quality is compared with LULC changes from 2015 to 2020. Results revealed that the concentration of most of the physico-chemical parameters in the water samples was beyond the World Health Organization (WHO) adopted permissible limit, except for a few parameters in some locations. Based on the calculated values of HPI and HEI, water quality samples were categorized as low to moderately polluted water bodies, whereas all water samples fell under the poor category (>100) and beyond based on the calculated WQI. Looking precisely at the water quality’s temporal trend, it is found that most of the sampling shows a deteriorating trend from 2016 to 2019. However, the year 2020 shows a slightly improving trend on water quality, which can be justified by lowering human activities during the lockdown period imposed by COVID-19. Land use has a significant relationship with surface water quality, and it was evident that built-up land had a more significant negative impact on water quality than the other land use classes. Both natural processes (rock weathering) and anthropogenic activities (wastewater discharge, industrial activities etc.) were found to be playing a vital role in water quality evolution. This study suggests that continuous assessment and monitoring of the spatial and temporal variability of water quality in Limpopo is important to control pollution and health safety in the future. View Full-Text
Keywords: surface water quality; WQI; HPI; HEI surface water quality; WQI; HPI; HEI
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MDPI and ACS Style

Molekoa, M.D.; Avtar, R.; Kumar, P.; Thu Minh, H.V.; Dasgupta, R.; Johnson, B.A.; Sahu, N.; Verma, R.L.; Yunus, A.P. Spatio-Temporal Analysis of Surface Water Quality in Mokopane Area, Limpopo, South Africa. Water 2021, 13, 220.

AMA Style

Molekoa MD, Avtar R, Kumar P, Thu Minh HV, Dasgupta R, Johnson BA, Sahu N, Verma RL, Yunus AP. Spatio-Temporal Analysis of Surface Water Quality in Mokopane Area, Limpopo, South Africa. Water. 2021; 13(2):220.

Chicago/Turabian Style

Molekoa, Mmasabata D.; Avtar, Ram; Kumar, Pankaj; Thu Minh, Huynh V.; Dasgupta, Rajarshi; Johnson, Brian A.; Sahu, Netrananda; Verma, Ram L.; Yunus, Ali P. 2021. "Spatio-Temporal Analysis of Surface Water Quality in Mokopane Area, Limpopo, South Africa" Water 13, no. 2: 220.

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