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Warianty tytułu
Języki publikacji
Abstrakty
The study aimed to assess the surface water quality in the Hau Giang province in 2021 at 44 locations (with a frequency of 5 times per year) using Principal Component Analysis (PCA), Cluster Analysis (CA) and GIS. Surface water quality was compared with the national technical regulation on surface water quality (QCVN 08-MT:2015/BTNMT, column A1) and Water Quality Index (WQI). The results showed that the surface water quality parameters of total suspended solids, organic matters, nutrients, coliform, and Fe far exceeded the allowable limits, while the Cl-, color, and CN- parameters were within the allowable limits of QCVN 08-MT:2015/BTNMT, column A1. The values of WQI showed that the water quality of the Hau Giang province ranged from poor to excellent. The water quality at the Vam Cai Dau and Hau River areas could only be exploited for water supply, but appropriate treatment is needed. CA divided the monitoring months into three distinct clusters and reduced the sampling sites from 44 to 33 locations, reducing 25% of monitoring cost per year. PCA revealed three main factors which could explain 69.0% of the variation in water quality. The water pollution sources were mainly industrial and agricultural discharges, domestic and urban activities, transportation activities, salinity, hydrological conditions and water runoff. The current findings provide useful information which support local environmental managers and water supply companies for safe and sustainable.
Czasopismo
Rocznik
Tom
Strony
265--276
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
autor
- College of Environment and Natural Resources, Can Tho University, Can Tho City 900000, Vietnam
Bibliografia
- 1. APHA. 2012. Standard methods for the examination of water and wastewater, 22nd edition edited by Rice E.W., Baird R.B., Eaton A.D. and Clesceri L.S., American Public Health Association (APHA), American Water Works Association (AWWA) and Water Environment Federation (WEF), Washington, D.C., USA.
- 2. Barakat A., Baghdadi M.E., Rais J., Aghezzaf B., Slassi M. 2016. Assessment of spatial and seasonal water quality variation of Oum Er Rbia River (Morocco) using multivariate statistical techniques. International Soil and Water Conservation Research, 4(4), 284–292.
- 3. Department of Natural Resources and Environment. 2021. Report on environmental monitoring results of Hau Giang province, 134. (in Vietnamese)
- 4. Drasovean R., Murariu G. 2021. Water quality parameters and monitoring soft surface water quality using statistical approaches. IntechOpen. Promising Techniques for Wastewater Treatment and Water Quality Assessment edited by Iqbal Ahmed, 458.
- 5. Giao N.T. 2020. Spatial variations of surface water quality in Hau Giang province, Vietnam using multivariate statistical techniques. Environment and Natural Resources Journal, 18(4), 400–410.
- 6. Giao N.T., Nhien H.T.H. 2021. Evaluating water quality variation in the Vietnamese Mekong Delta area using cluster and discriminant analysis. Applied Environmental Research, 43(1), 14–27.
- 7. Giau V.T.N, Tuyen P.T.B., Trung N.H. 2019. Assessing surface water quality of Can Tho River in the period of 2010–2014 using water quality indicator (WQI). Can Tho University Journal of Science, 55(2), 105–113. (in Vietnamese)
- 8. Hasan M.F., Nur-E-Alam M., Salam M.A., Rahman H., Paul S.C. Rak A.E., Ambade B., Islam A.R.M.T. 2021. Health risk and water quality assessment of surface water in an urban river of Bangladesh. Sustainability, 13(6832), 22.
- 9. Hoa N.P., Long L.B. 2016. Applying GIS in the thematic mapping and assessing the environmental quality of surface water on the Sai Gon River. Industry and Trade Magazine, 9(9), 32–39. (in Vietnamese)
- 10. Huy H.A. 2016. GIS application for mapping surface water pollution in Cam Pha city, Quang Ninh province. VNU Journal of Science – Vietnam National University Hanoi, 32(1), 215–223. (in Vietnamese)
- 11. IBM SPSS statistics for Windows. 2011. Version 20.0, Armonk, NY, USA.
- 12. Ibrahim A. 2015. Evaluation of surface water quality using multivariate techniques in Terengganu River basin. International Journal of Development Research, 5(2), 3421–3427.
- 13. Phu H. 2021. Study on zoning of surface water quality according to developments in economic regions of Bac Lieu province. Vietnam Journal of Hydro-Meteorology, 5(725), 17–28. (in Vietnamese)
- 14. Ramaraju A., Giridhar M.V.S.S. 2015. Spatial analysis of surface water bodies quality using GIS. International conference on Geology, 4(20), 9.
- 15. Singh T., Ghosh A., Khandelwal N. 2017. Dimensional reduction and feature selection: principal component analysis for data mining. Radiology, 285(3), 1055–1056.
- 16. Tam N.T., Bao T.Q., Minh H.V.T., Thanh N.T., Lien B.T.B, Minh N.D.T. 2022. Evaluating the surface water quality affected by activities in Can Tho City. Vietnam Journal of Hydro-Meteorology, 733, 39–55. (in Vietnamese)
- 17. Tuan D.D.A., Loc N.T., Phuong N.T.N., Trung N.H. 2020. Assessing existing surface water supply sources in the Vietnamese Mekong delta: case study of Can Tho, Soc Trang and Hau Giang provinces. Vietnam Journal of Science, Technology and Engineering, 62(4), 65–70.
- 18. VEA. 2015. National Technical Regulation on Surface Water Quality (QCVN 08-2015/BTNMT). Vietnam Environment Administration: Hanoi, Vietnam. (in Vietnamese)
- 19. VEA. 2019. Decision No. 1460/QD-TCMT, dated 12/11/2019, on the promulgation of Technical Guidelines for calculation and publication of Vietnam Water Quality Index (VN_WQI). Hanoi, Vietnam. (in Vietnamese)
- 20. Yang W., Zhao Y., Wang D., Wu H., Lin A., He L. 2020. Using principal components analysis and IDW interpolation to determine spatial and temporal changes of surface water quality of Xin’anjiang river in Huangshan, China. International Journal of Environmental Research and Public Health, 17(2942), 14.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5158bffd-c303-4520-b0b9-60edc3d7357b