Abstract
This study assessed the surface water quality in Can Tho city, Vietnam, using a combination of water quality, pollution indices, and multivariate statistical methods. Surface water samples were collected at 38 locations with a frequency of 4 times in 2020 (March, June, September, and December) and at the time of high and low tides to analyze for 18 indicators. Results showed that surface water in Can Tho city was contaminated with organic matters and microorganisms. Parameters of pH, turbidity, total suspended solids (TSS), biochemical oxygen demand (BOD), chemical oxygen demand (COD), N-NH4+, and N-NO3- are significantly increased with low tide. Comprehensive pollution index indicated mild to moderately polluted water in March, June, and September and moderately to severely polluted water in December. Organic pollution index revealed that surface water quality in all locations was polluted with organic matters during the study period especially in March and December. The water quality index also indicated that water quality in December was mostly classified as moderate and bad. The principal component analysis indicated that surface water quality could be affected by five main sources that explain 64.40% of the total variation. This significantly caused the fluctuation of pH, temperature, turbidity, TSS, DO, BOD, COD, N-NH4+, P-PO43-, Fe, and As, which should all be the focus for future monitoring. Surface water management in Can Tho city should also emphasize on the wastewater from urbanization and agriculture, which has been recognized by the analysis to have highest contribution to organic, nutrient, and microbial pollutants in the water bodies.
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Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Anh, N. M., Hang, N. T., Huyen, B. T., My, N. H., Hue, C. T., & Son, C. T. (2020). Assessment of An Duong lake water quality in Hai Duong province using a water quality index and water pollution indices. TNU Journal of Science and Technology, 225, 39–46. https://doi.org/10.3844/ajessp.2013.218.225
APHA; AWWA; WEF. (2012). Standard methods of for the examination of water and wastewater (22nd ed.). American Public Health Association.
Atwebembeire, J., Andama, M., Yatuha, J., Lejju, J. B., Rugunda, G. K., & Bazira, J. (2019). The physico-chemical quality of effluents of selected sewage treatment plants draining into river Rwizi, Mbarara municipality, Uganda. Journal of Water Resource and Protection, 11, 20–36. https://doi.org/10.4236/jwarp.2019.111002
Boyd, C. E., & Green, B. W. (2002). Water quality monitoring in shrimp farming areas: an example from Honduras, Shrimp farming and the environment. The World Bank, NACA, WWF and FAO Consortium Program on Shrimp Farming and the Environment; Auburn: USA.
Can Tho Hydrological Station. (2020). Documentation of water flow correction in 2020. Can Tho, Vietnam: Can Tho Hydrological Station.
Can Tho’s People Committee. (2020). Provincial environmental state report for the period from 2015–2020.
Chounlamany, V., Tanchuling, M. A., & Inoue, T. (2017). Spatial and temporal variation of water quality of a segment of Marikina River using multivariate statistical methods. Water Science and Technology, 66(6), 1510–1522. https://doi.org/10.2166/wst.2017.279
Du, J., Liu, F., Zhao, L., Liu, C., Fu, Z., & Teng, Y. (2021). Mercury horizontal spatial distribution in paddy field and accumulation of mercury in rice as well as their influencing factors in a typical mining area of Tongren City Guizhou China. Journal of Environmental Health Science and Engineering, 19(2), 1555–1567. https://doi.org/10.1007/s40201-021-00711-z
Giao, N. T. (2020a). Evaluating current water quality monitoring system on Hau river, Mekong Delta, Vietnam using multivariate statistical techniques. Applied Environmental Research, 42(1), 14–25. https://doi.org/10.35762/AER.202042.1.2
Giao, N. T. (2020b). Spatial variations of surface water quality in Hau Giang province, Vietnam using multivariate statistical techniques. Environment and Natural Resources, 18(4), 400–410. https://doi.org/10.32526/ennrj.18.4.2020.38
Giao, N. T., & Minh, V. Q. (2021). Evaluating surface water quality and water monitoring variables in Tien River, Vietnamese Mekong Delta. Jurnal Teknologi, 83(3), 29–36. https://doi.org/10.11113/jurnalteknologi.v83.16355
Giao, N. T., Anh, P. K., & Nhien, H. T. H. (2021b). Spatiotemporal analysis of surface water quality in Dong Thap province, Vietnam using water quality index and statistical approaches. Waters, 13, 336. https://doi.org/10.3390/w13030336
Giao, N. T., Cong, N. V., & Nhien, H. T. H. (2021a). Using remote sensing and multivariate statistics in analyzing the relationship between land use patterns and water quality in Tien Giang province. Vietnam Water, 13(8), 1093. https://doi.org/10.3390/w13081093
Giao, N. T., Nhien, H. T. H., Anh, P. K., & Ni, D. V. (2021c). Classification of water quality in low lying area in Vietnamese Mekong Delta using set pair analysis method and Vietnamese water quality index. Environmental Monitoring and Assessment, 193(6), 1–16. https://doi.org/10.1007/s10661-021-09102-1
Golia, E. E., Dimirkou, A., & Floras, S. A. (2015). Spatial monitoring of arsenic and heavy metals in the Almyros area, Central Greece. Statistical approach for assessing the sources of contamination. Environmental Monitoring and Assessment, 187, 399. https://doi.org/10.1007/s10661-015-4624-1
Hanh, P. T., Sthiannopkao, S., Kim, K. W., Ba, D. T., & Hung, N. Q. (2010). Anthropogenic influence on surface water quality of the Nhue and Day sub-river systems in Vietnam. Environmental Geochemistry and Health, 32(3), 227–236. https://doi.org/10.1007/s10653-009-9279-9
Hoang, H.T.T., Duong, T.T., Nguyen, K.T., Le, Q.T.P., Luu, M.T.N., Trinh, D.A., Le, A.H., Ho, C.T., Dang, K.D., Némery, J., Orange, D., & Klein, J. (2018). Impact of anthropogenic activities on water quality and plankton communities in the Day River (Red River delta, Vietnam). Environmental Monitoring and Assessment, 190(2), 67. https://doi.org/10.1007/s10661-017-6435-z
Hong, T. T. K., & Giao, N. T. (2022). Analysis of surface water quality in upstream province of Vietnamese Mekong delta using multivariate statistics. Waters, 14, 1975. https://doi.org/10.3390/w14121975
Islam, M., Lenz, O., Azad, A., Ara, M., Rahman, M., & Hassan, N. (2017). Assessment of spatio-temporal variations in water quality of Shailmari river, Khulna (Bangladesh) using multivariate statistical techniques. Journal of Geoscience and Environment Protection, 5, 1–26. https://doi.org/10.4236/gep.2017.51001
Kazi, T. G., Arain, M. B., Jamali, M. K., Jalbani, N., Afridi, H. I., Sarfraz, R. A., & Shah, A. Q. (2009). Assessment of water quality of polluted reservoir using multivariate statistical techniques: A case study. Ecotoxicology and Environmental Safety, 72(20), 301–309.
Koçer, M. A. T., & Sevgili, H. (2014). Parameters selection for water quality index in the assessment of the environmental impacts of land-based trout farms. Ecological Indicators, 36, 672–681. https://doi.org/10.1016/j.ecolind.2013.09.034
Lien, N. T. K., Huy, L. Q., Oanh, D. T. H., Phu, T. Q., & Ut, V. N. (2016). Water quality in mainstream and tributaries of Hau River. Can Tho Scientific Journal of Science, 43, 68–79. (In Vietnamese).
Ly, N. H. T., & Giao, N. T. (2018). Surface water quality in canals in An Giang province, Viet Nam, from 2009 to 2016. Journal of Vietnamese Environment, 10(2), 113–119. https://doi.org/10.13141/jve.vol10.no2.pp113-119
McKellar, H. N., Tufford, D. L., Alford, M. C., Saroprayogi, P., Kelley, B. J., & Morris, J. T. (2007). Tidal nitrogen exchanges across a freshwater wetland succession gradient in the upper Cooper River. South Carolina. Estuaries and Coasts, 30(6), 989–1006. https://doi.org/10.1007/BF02841390
Mekong River Commission (MRC). (2015). Lower Mekong regional water quality monitoring report. ISSN: 1683–1489. MRC Technical Paper No.51.
Ministry of Natural Resources and Environment (MONRE). (2015). National technical regulation on surface water quality (QCVN 08–2015/BTNMT). Vietnam Environmental Protection Agency: Hanoi, Vietnam.
Ministry of Natural Resources and Environment (MONRE). (2018). State of the National Environment in 2018-Water environment of river basins. Vietnam Environmental Protection Agency: Hanoi, Vietnam.
National Center for Hydrometeorological Forecasting. (2020). Long-term hydrological forecast bulletin for Central, Central Highlands and Southern rivers. Hanoi: General Department of Meteorology and Hydrology.
Nga, T. T., & Thuy, V. N. (2011). Biological and environmental characteristics of Nelumbo nucifera, Nymphaea pubescens and Nymphoides indica in the National Park of Tram Chim, Tam Nong district, Dong Thap province. Can Tho Scientific Journal of Science, 23a, 294–301.
Nhien, H. T. H., & Giao, N. T. (2019). Environmental soil, water, and sediment quality of Dong Thang landfill in Can Tho City, Vietnam. Applied Environmental Research, 41(2), 73–83. https://doi.org/10.35762/AER.2019.41.2.7
Ojok, W., Wasswa, J., & Ntambi, E. (2017). Assessment of seasonal variation in water quality in river Rwizi using multivariate statistical techniques, Mbarara municipality, Uganda. Journal of Water Resource and Protection, 9, 83–97. https://doi.org/10.4236/jwarp.2017.91007
Oketola, A., Adekolurejo, S., & Osibanjo, O. (2013). Water quality assessment of river Ogun using multivariate statistical techniques. Journal of Environmental Protection, 4(5), 466–479. https://doi.org/10.4236/jep.2013.45055
Ongley, E. D. (2009). Chapter 12: Water quality of the lower Mekong river. In: Campbell, I.C. (ed.): The Mekong: Biophysical Environment of an International. https://doi.org/10.1016/B978-0-12-374026-7.00012-7
Peralta-Maraver, I., Stubbington, R., Arnon, S., Kratina, P., Krause, S., Cionek, V. M., et al. (2021). The riverine bioreactor: An integrative perspective on biological decomposition of organic matter across riverine habitats. Science of the Total Environment, 772, 145494. https://doi.org/10.1016/j.scitotenv.2021.145494
Phu, T. Q., & Ut, V. N. (2006). Water quality for pond aquaculture. Can Tho University: College of Aquaculture and Fisheries. 199 pp (in Vietnamese).
Phung, D., Huang, C., Rutherfordm, S., Dwirahmadi, F., Chu, C., Wang, X., et al. (2015). Temporal and spatial assessment of river surface water quality using multivariate statistical techniques: A study in Can Tho City, a Mekong Delta area. Vietnam. Environmental Monitoring Assessment, 2015(187), 229–241. https://doi.org/10.1007/s10661-015-4474-x
Prathumratana, L., Sthiannopkao, S., & Kim, K. W. (2008). The relationship of climatic and hydrological parameters to surface water quality in the lower Mekong River. Environment International, 34(6), 860–866. https://doi.org/10.1016/j.envint.2007.10.011
Qin, G., Liu, J., Xu, S., & Wang, T. (2020). Water quality assessment and pollution source apportionment in a highly regulated river of Northeast China. Environmental Monitoring and Assessment, 192, 446. https://doi.org/10.1007/s10661-020-08404-0
Ratpukdi, T., Sinora, S., Kiattisaksiri, P., Punyapalakul, P., & Siripattanakul-Ratpukdi, S. (2019). Occurrence of trihalomethanes and haloacetonitriles in water distribution networks of Khon Kaen Municipality. Thailand. Water Supply, 19(6), 1748–1757. https://doi.org/10.2166/ws.2019.049
Son, C. T., Giang, N. T. H., Thao, T. P., Nui, N. H., Lam, N. T., & Cong, V. H. (2020). Assessment of Cau River water quality assessment using a combination of water quality and pollution indices. Journal of Water Supply: Research and Technology-AQUA, 69, 160–172. https://doi.org/10.2166/aqua.2020.122
Su, S., Li, D., Zhang, Q., Xiao, R., Huang, F., & Wu, J. (2011). Temporal trend and source apportionment of water pollution in different functional zones of Qiantang River. China. Water Research, 45(4), 1781–1795. https://doi.org/10.1016/j.watres.2010.11.030
Tuan, D. D. A., Thu, B. A., & Trung, N. H. (2019). Assessing quality of surface water for urban water supply source for Soc Trang City. Can Tho Scientific Journal of Science, 4A, 61–70.
Vietnam Environment Administration (VEA). (2019). Decision 1460/QD-TCMT Dated November 12, 2019 on the issuing of technical guide to calculation and disclosure Vietnam water quality index (VN_WQI); Vietnam Environment Administration: Hanoi, Vietnam.
Vietnam National Assembly. Law on Environmental Protection No. 77/2020/QH14 dated November 17, 2020, takes effect from January 1, 2022. 2020.
Wang, C., Yang, Z., Zhong, C., & Ji, J. (2016). Temporal–spatial variation and source apportionment of soil heavy metals in the representative river–alluviation depositional system. Environmental Pollution, 216, 18–26. https://doi.org/10.1016/j.envpol.2016.05.037
Wilbers, G. -J., Becker, M., Nga, L. T., Sebesvari, Z., & Renaud, F. G. (2014). Spatial and temporal variability of surface water pollution in the Mekong Delta, Vietnam. Science of The Total Environment, 485–486, 653–665. https://doi.org/10.1016/j.scitotenv.2014.03.049
Zhang, H., Cheng, S., Li, H., Fu, K., & Xu, Y. (2020). Groundwater pollution source identification and apportionment using PMF and PCA-APCA-MLR receptor models in a typical mixed land-use area in Southwestern China. Science of the Total Environment, 741, 140383. https://doi.org/10.1016/j.scitotenv.2020.140383
Zoltan, H., Mirjana, H., & Kristian, P. (2021). Assessment of spatial and temporal water quality distribution of lake Ludas, Serbia. Environmental Science and Pollution Research, 2021, 1–33. https://doi.org/10.21203/rs.3.rs-637713/v1 (Preprint)
Acknowledgements
The authors would like to thank for the data provision from Department of Environment and Natural Resources, Can Tho city. The scientific and personal views presented in this paper do not necessarily reflect the views of the data provider. This research work was also partially supported by Chiang Mai University.
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N.T. Giao designed and directed the research and data collection. H.T.H. Nhien and P.H. Anh did the experiments and analyzed the data. P.T. Thuptimdang provided guidance and supervision for the research and the manuscript. All authors interpreted the data, discussed the results, and wrote the manuscript.
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Giao, N.T., Nhien, H.T.H., Anh, P.K. et al. Combination of water quality, pollution indices, and multivariate statistical techniques for evaluating the surface water quality variation in Can Tho City, Vietnam. Environ Monit Assess 194, 844 (2022). https://doi.org/10.1007/s10661-022-10474-1
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DOI: https://doi.org/10.1007/s10661-022-10474-1