Spatio-temporal pattern of water quality in the Saigon-Dong Nai river system due to waste water pollution sources

被引:9
|
作者
Hiep Duc Nguyen [1 ,2 ]
Nguyen Hong Quan [3 ]
Ngo Xuan Quang [4 ,6 ]
Nguyen Duy Hieu [3 ]
Le Viet Thang [5 ]
机构
[1] Ton Duc Thang Univ, Environm Qual Atmospher Sci & Climate Change Res, Ho Chi Minh City, Vietnam
[2] Ton Duc Thang Univ, Fac Environm & Labour Safety, Ho Chi Minh City, Vietnam
[3] Vietnam Natl Univ, Ctr Water Management & Climate Change, Ho Chi Minh City, Vietnam
[4] Grad Univ Sci & Technol, Vietnam Acad Sci & Technol, Hanoi, Vietnam
[5] Ind Univ Ho Chi Minh City, Inst Environm Sci Engn & Management, Ho Chi Minh City, Vietnam
[6] Vietnam Acad Sci & Technol, Inst Trop Biol, Dept Environm Management & Technol, Ho Chi Minh City, Vietnam
关键词
River basin management; multivariate analysis; water quality modelling; MIKE; 11; Saigon-Dong Nai river; MULTIVARIATE STATISTICAL TECHNIQUES; PRINCIPAL COMPONENT ANALYSIS; TEMPORAL VARIATIONS; BASIN; SEDIMENTS; NUTRIENTS; VIETNAM;
D O I
10.1080/15715124.2019.1700513
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
This paper studies the current status of water quality, using both statistical and modelling approaches, in the waterways of the Saigon-Dong Nai river basin in relation to the nature of its environment and the effect of point and diffuse pollution sources. These sources are located mainly in the urban and industrial areas of Ho Chi Minh City (HCMC) and Dong Nai province. The statistical analysis of monitoring data allows us to determine the state of water quality while the modelling approach provides the means to manage the pollution sources. Both approaches are used in this work. Our statistical analysis of the water quality data collected at many stations from the upper reach of the Saigon and Dong Nai rivers to the urban waterways and the lower end of the rivers near the sea shows a contrast of water quality in different basin areas. These differences are consistent in both dry and rainy seasons and during the high tide and low tide. The results show that several hot spots of some water quality variables require management focus, such as organic waste water pollution at Binh Dien and Thay Cai in HCMC mainly due to local sources. Moderately and highly degraded water quality occurs at Binh Phuoc, Phu An and Cat Lai which are downstream from the industrial areas of Binh Duong (Binh Duong province) and Bien Hoa (Dong Nai province) before entering HCMC. Modelling of some important water quality variables also confirms the spatial extent of the areas where water quality is different as analysed from the statistical analysis of monitoring data. The MIKE-11 modelling system is shown to be a valuable tool for predicting the effect of different sources in HCMC metropolitan area on the waterway areas where water quality is important to protect the ecosystem and people health.
引用
收藏
页码:221 / 243
页数:23
相关论文
共 50 条
  • [31] Spatio-temporal Evolution and Relationship of Water Environment Quality and Phytoplankton Community in Wenyu River
    Zhu L.-Y.
    Chen Y.-Y.
    Liu J.
    Wang Y.-W.
    Wang C.-R.
    Wei Y.-S.
    Zhang Y.-X.
    Huanjing Kexue/Environmental Science, 2020, 41 (02): : 702 - 712
  • [32] Spatio-temporal dynamics of ecological, bacteriological, and overall water quality of the Damodar River, India
    Md. Mofizul Hoque
    Aznarul Islam
    Environmental Science and Pollution Research, 2024, 31 : 18465 - 18484
  • [33] Water quality and spatio-temporal hot spots in an effluent-dominated urban river
    Schliemann, Sarah A.
    Grevstad, Nels
    Brazeau, Randi H.
    HYDROLOGICAL PROCESSES, 2021, 35 (01)
  • [34] Spatio-temporal dynamics of ecological, bacteriological, and overall water quality of the Damodar River, India
    Hoque, Md. Mofizul
    Islam, Aznarul
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 31 (12) : 18465 - 18484
  • [35] Impact of climate change on streamflow and water quality in the upper Dong Nai river basin, Vietnam
    Le Viet Thang
    Dao Nguyen Khoi
    Ho Long Phi
    HOUILLE BLANCHE-REVUE INTERNATIONALE DE L EAU, 2018, (01): : 70 - 79
  • [36] Water quality index and spatio-temporal perspective of a large Brazilian water reservoir
    de Oliveira, Karla Lorrane
    Ramos, Ramatisa Ladeia
    Oliveira, Silvia Correa
    Christofaro, Cristiano
    WATER SUPPLY, 2021, 21 (03) : 971 - 982
  • [37] A deep learning model with spatio-temporal graph convolutional networks for river water quality prediction
    Huan, Juan
    Liao, Wenjie
    Zheng, Yongchun
    Xu, Xiangen
    Zhang, Hao
    Shi, Bing
    WATER SUPPLY, 2023, 23 (07) : 2940 - 2957
  • [38] Pollutant fate and spatio-temporal variability in the choptank river estuary: Factors influencing water quality
    Whitall, David
    Hively, W. Dean
    Leight, Andrew K.
    Hapeman, Cathleen J.
    McConnell, Laura L.
    Fisher, Thomas
    Rice, Clifford P.
    Codling, Eton
    McCarty, Gregory W.
    Sadeghi, Ali M.
    Gustafson, Anne
    Bialek, Krystyna
    SCIENCE OF THE TOTAL ENVIRONMENT, 2010, 408 (09) : 2096 - 2108
  • [39] Nitrate sinks and sources as controls of spatio-temporal water quality dynamics in an agricultural headwater catchment
    Schuetz, Tobias
    Gascuel-Odoux, Chantal
    Durand, Patrick
    Weiler, Markus
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2016, 20 (02) : 843 - 857
  • [40] Spatio-temporal variations in water quality, hydrochemistry and its controlling factors in a perennial river in India
    Setia, Raj
    Lamba, Shaveta
    Chander, Shard
    Kumar, Vinod
    Singh, Randhir
    Litoria, P. K.
    Singh, R. P.
    Pateriya, Brijendra
    APPLIED WATER SCIENCE, 2021, 11 (11)