Study on organic pollution treatment from Van Thanh canal water by vetiver grass model on gravel and sand in water circulation conditions. Issue 1 (December 2020)

• Record Type: Journal Article
• Authors: Giang, L V; Le, D A; Tuong, L Q; Tan, L V; Tran, T
• Is Part Of: IOP conference series. Volume 991:Issue 1(2020)
• Publication Date: 2020-12
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/991/1/012087
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: Most canals in Ho Chi Minh City receive urban wastewater which was led by underground sewers in the untreated cities and causes serious environmental pollution. The main objective of this paper was to investigate the effects of application models of vetiver grass in purifying wastewater in Van Thanh canal water. This model combined many vetiver grass and materials like sand, gravel, and stone to remove pollutants based on sedimentation, filtration, accumulation, and decomposition mechanisms of microorganisms that allow water to flow through the substrate, the system provides good transport of oxygen into the substrate, facilitating nitrification. The research was conducted under hydroponic conditions in three treatments (Treatment1: Gravel treatment, Treatment 2: Sand treatment, and Treatment 3: Combination material (Gravel& Sand). Each treatment was designed (n=2), with dimensions of 0.66 m x 0.46 m x 0.21 m (length, width, height), a layer of material with a thickness of 80 mm. Results showed that the average processing efficiency in the modes was PO43- 91.34%, NH4+ 96.67%, COD above 80% reaching QCVN 08: 2015/BTNMT, Vetiver had a very high capacity to purify wastewater. Result also illustrated that vetiver grass had a very high capacity to purify wastewater in Treatment 3 called the combination material of Gravel& Sand. Applying the CW CSFS system using Vetiver grass was proved for the needs of surface water treatment in Van Thanh canal water with restoring the ability of natural cleaning and restoring greenery in the whereas.