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

被引:24
作者
Molekoa, Mmasabata Dolly [1 ]
Avtar, Ram [1 ,2 ]
Kumar, Pankaj [3 ]
Thu Minh, Huynh Vuong [4 ]
Dasgupta, Rajarshi [3 ]
Johnson, Brian Alan [3 ]
Sahu, Netrananda [5 ]
Verma, Ram Lal [6 ]
Yunus, Ali P. [7 ,8 ]
机构
[1] Hokkaido Univ, Grad Sch Environm Sci, Sapporo, Hokkaido 0600810, Japan
[2] Hokkaido Univ, Fac Environm Earth Sci, Sapporo, Hokkaido 0600810, Japan
[3] Inst Global Environm Strategies, Nat Resources & Ecosyst Serv, Hayama, Kanagawa 2400115, Japan
[4] Cantho Univ, Coll Environm & Nat Resources, Dept Water Resources, Can Tho 900000, Vietnam
[5] Univ Delhi, Delhi Sch Econ, Dept Geog, Delhi 110007, India
[6] Asian Inst Technol, Reg Resource Ctr Asia & Pacific, Pathum Thani 12120, Thailand
[7] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China
[8] Natl Inst Environm Studies, Ctr Climate Change Adaptat, Tsukuba, Ibaraki 3058056, Japan
关键词
surface water quality; WQI; HPI; HEI;
D O I
10.3390/w13020220
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] Spatial and temporal assessment of surface water quality in the Arka River, Akkar, Lebanon
    Daou, Claude
    Nabbout, Rony
    Kassouf, Amine
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2016, 188 (12)
  • [22] Spatial-temporal characteristics of surface water quality in the Taihu Basin, China
    Zhao, Guangju
    Gao, Junfeng
    Tian, Peng
    Tian, Kun
    Ni, Guangheng
    ENVIRONMENTAL EARTH SCIENCES, 2011, 64 (03) : 809 - 819
  • [23] Trend Analysis of Surface Water Quality in Hunan Province
    Yin Xing
    Hu Guohua
    2009 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY, VOL III, PROCEEDINGS,, 2009, : 154 - 157
  • [24] Hydrogeochemical analysis and evaluation of surface water quality of Pratapgarh district, Uttar Pradesh, India
    Tiwari A.K.
    Singh A.K.
    Singh A.K.
    Singh M.P.
    Applied Water Science, 2017, 7 (4) : 1609 - 1623
  • [25] Spatio-temporal evaluation of the impact of anthropogenic stressors on physico-chemical characteristics and water quality of the River Ganga using GIS-based approach in the middle Gangetic Plains at Patna, Bihar, India
    Zafar, Mohammad Masroor
    Kumari, Anupma
    WATER SCIENCE AND TECHNOLOGY, 2024, 89 (05) : 1382 - 1400
  • [26] Spatial and Temporal Analysis of Surface Water Pollution Indices Using Statistical Methods
    Kieu, Le Diem
    Quoc, Pham Nguyen
    CIVIL ENGINEERING JOURNAL-TEHRAN, 2024, 10 (06): : 1828 - 1841
  • [27] THE INFLUENCE OF POLLUTION MONITORING PARAMETERS IN CHARACTERIZING THE SURFACE WATER QUALITY FROM ROMANIA SOUTHERN AREA
    Florescu, D.
    Ionete, R. E.
    Sandru, C.
    Iordache, A.
    Culea, M.
    ROMANIAN JOURNAL OF PHYSICS, 2011, 56 (7-8): : 1001 - 1010
  • [28] Multivariate statistical analysis for the surface water quality of the Luan River, China
    Zhao, Zhi-wei
    Cui, Fu-yi
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2009, 10 (01): : 142 - 148
  • [29] Multivariate statistical analysis for the surface water quality of the Luan River, China
    Zhi-wei Zhao
    Fu-yi Cui
    Journal of Zhejiang University-SCIENCE A, 2009, 10 : 142 - 148
  • [30] Using Principal Components Analysis and IDW Interpolation to Determine Spatial and Temporal Changes of Surface Water Quality of Xin'anjiang River in Huangshan, China
    Yang, Wenjie
    Zhao, Yue
    Wang, Dong
    Wu, Huihui
    Lin, Aijun
    He, Li
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (08)