A hybrid constructed wetland for organic-material and nutrient removal from sewage: Process performance and multi-kinetic models
In: Journal of Environmental Management, Jg. 222 (2018-09-15), S. 378
academicJournal
Zugriff:
Keywords Predictive model; Multiple regression; Hybrid constructed wetland; Kinetic constant; Hydraulic loading rate Highlights * A two-stage hybrid constructed wetland (HCW) system was constructed and evaluated for performance. * Multi-kinetic models for predicting the HCW performance were applied to analyze the results. * The HCW performance was modeled using linear and nonlinear regression analysis. * An optimal predictive model for experimental development of HCW was presented. Abstract A pilot-scale hybrid constructed wetland with vertical flow and horizontal flow in series was constructed and used to investigate organic material and nutrient removal rate constants for wastewater treatment and establish a practical predictive model for use. For this purpose, the performance of multiple parameters was statistically evaluated during the process and predictive models were suggested. The measurement of the kinetic rate constant was based on the use of the first-order derivation and Monod kinetic derivation (Monod) paired with a plug flow reactor (PFR) and a continuously stirred tank reactor (CSTR). Both the Lindeman, Merenda, and Gold (LMG) analysis and Bayesian model averaging (BMA) method were employed for identifying the relative importance of variables and their optimal multiple regression (MR). The results showed that the first-order--PFR (M.sub.2) model did not fit the data (P > 0.05, and R.sup.2 0.5). The pollutant removal rates in the case of M.sub.1 were 0.19 m/d (COD.sub.Cr) and those for M.sub.3 were 25.2 g/m.sup.2*d for COD.sub.Cr and 2.63 g/m.sup.2*d for NH.sub.4-N. By applying a multi-variable linear regression method, the optimal empirical models were established for predicting the final effluent concentration of five days' biochemical oxygen demand (BOD.sub.5) and NH.sub.4-N. In general, the hydraulic loading rate was considered an important variable having a high value of relative importance, which appeared in all the optimal predictive models. Author Affiliation: (a) Faculty of Environmental Sciences, Hanoi University of Science, Vietnam National University, Hanoi, Viet Nam (b) Faculty of Environmental Engineering Technology, Hue University, Quang Tri Campus, Viet Nam (c) Department of Environmental Energy & Engineering, Kyonggi University, 94 San, Iui-dong, Youngtong-gu, Suwon-si 442-760, Gyeonggi-do, Republic of Korea (d) Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology, Sydney (UTS), Australia (e) Department of Environmental Engineering, Daegu University, Republic of Korea (f) Department of Civil Engineering, Regional Campus of Anna University, Tirunelveli, 627007, Tamil Nadu, India (g) Institute of Research and Development, Duy Tan University, Da Nang, Viet Nam (h) Department for Management of Science and Technology Development & Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam (i) Department of Environmental Energy Engineering, Kyonggi University, Republic of Korea * Corresponding author. Ton Duc Thang University, Ho Chi Minh City, Vietnam. Article History: Received 1 December 2017; Revised 22 May 2018; Accepted 26 May 2018 Byline: X. Cuong Nguyen (a,b), S. Woong Chang (c), Thi Loan Nguyen (a), H. Hao Ngo (d), Gopalakrishnan Kumar (e), J. Rajesh Banu (f), M. Cuong Vu (g), H. Sinh Le (g), D. Duc Nguyen [nguyendinhduc@tdt.edu.vn] (h,i,*)
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A hybrid constructed wetland for organic-material and nutrient removal from sewage: Process performance and multi-kinetic models
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Autor/in / Beteiligte Person: | Nguyen, X. Cuong ; Chang, S. Woong ; Nguyen, Thi Loan ; Ngo, H. Hao ; Kumar, Gopalakrishnan ; Banu, J. Rajesh ; Vu, M. Cuong ; Le, H. Sinh ; Nguyen, D. Duc |
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Zeitschrift: | Journal of Environmental Management, Jg. 222 (2018-09-15), S. 378 |
Veröffentlichung: | 2018 |
Medientyp: | academicJournal |
ISSN: | 0301-4797 (print) |
DOI: | 10.1016/j.jenvman.2018.05.085 |
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