A hybrid constructed wetland for organic-material and nutrient removal from sewage: Process performance and multi-kinetic models

X. Cuong Nguyen, S. Woong Chang, Thi Loan Nguyen, H. Hao Ngo, Gopalakrishnan Kumar, J. Rajesh Banu, M. Cuong Vu, H. Sinh Le, D. Duc Nguyen

Research output: Contribution to journalArticle

9 Citations (Scopus)

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 (M2) model did not fit the data (P > 0.05, and R2 < 0.5), whereas the first-order–CSTR (M1) model for the chemical oxygen demand (CODCr) and Monod–CSTR (M3) model for the CODCr and ammonium nitrogen (NH4−N) showed a high correlation with the experimental data (R2 > 0.5). The pollutant removal rates in the case of M1 were 0.19 m/d (CODCr) and those for M3 were 25.2 g/m2∙d for CODCr and 2.63 g/m2∙d for NH4-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 (BOD5) and NH4-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.

Original languageEnglish
Pages (from-to)378-384
Number of pages7
JournalJournal of Environmental Management
Volume222
DOIs
Publication statusPublished - 2018 Sep 15

Fingerprint

Wetlands
Sewage
constructed wetland
Nutrients
sewage
kinetics
Kinetics
Rate constants
pollutant removal
Biochemical oxygen demand
biochemical oxygen demand
Linear regression
Wastewater treatment
multiple regression
nutrient removal
material
Effluents
gold
Gold
Hydraulics

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Waste Management and Disposal
  • Management, Monitoring, Policy and Law

Cite this

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. / A hybrid constructed wetland for organic-material and nutrient removal from sewage : Process performance and multi-kinetic models. In: Journal of Environmental Management. 2018 ; Vol. 222. pp. 378-384.
@article{baee050652be4b8f9da7bc0145e5758e,
title = "A hybrid constructed wetland for organic-material and nutrient removal from sewage: Process performance and multi-kinetic models",
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 (M2) model did not fit the data (P > 0.05, and R2 < 0.5), whereas the first-order–CSTR (M1) model for the chemical oxygen demand (CODCr) and Monod–CSTR (M3) model for the CODCr and ammonium nitrogen (NH4−N) showed a high correlation with the experimental data (R2 > 0.5). The pollutant removal rates in the case of M1 were 0.19 m/d (CODCr) and those for M3 were 25.2 g/m2∙d for CODCr and 2.63 g/m2∙d for NH4-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 (BOD5) and NH4-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 = "Nguyen, {X. Cuong} and Chang, {S. Woong} and Nguyen, {Thi Loan} and Ngo, {H. Hao} and Gopalakrishnan Kumar and Banu, {J. Rajesh} and Vu, {M. Cuong} and Le, {H. Sinh} and Nguyen, {D. Duc}",
year = "2018",
month = "9",
day = "15",
doi = "10.1016/j.jenvman.2018.05.085",
language = "English",
volume = "222",
pages = "378--384",
journal = "Journal of Environmental Management",
issn = "0301-4797",
publisher = "Academic Press Inc.",

}

A hybrid constructed wetland for organic-material and nutrient removal from sewage : Process performance and multi-kinetic models. / 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.

In: Journal of Environmental Management, Vol. 222, 15.09.2018, p. 378-384.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A hybrid constructed wetland for organic-material and nutrient removal from sewage

T2 - Process performance and multi-kinetic models

AU - Nguyen, X. Cuong

AU - Chang, S. Woong

AU - Nguyen, Thi Loan

AU - Ngo, H. Hao

AU - Kumar, Gopalakrishnan

AU - Banu, J. Rajesh

AU - Vu, M. Cuong

AU - Le, H. Sinh

AU - Nguyen, D. Duc

PY - 2018/9/15

Y1 - 2018/9/15

N2 - 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 (M2) model did not fit the data (P > 0.05, and R2 < 0.5), whereas the first-order–CSTR (M1) model for the chemical oxygen demand (CODCr) and Monod–CSTR (M3) model for the CODCr and ammonium nitrogen (NH4−N) showed a high correlation with the experimental data (R2 > 0.5). The pollutant removal rates in the case of M1 were 0.19 m/d (CODCr) and those for M3 were 25.2 g/m2∙d for CODCr and 2.63 g/m2∙d for NH4-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 (BOD5) and NH4-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.

AB - 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 (M2) model did not fit the data (P > 0.05, and R2 < 0.5), whereas the first-order–CSTR (M1) model for the chemical oxygen demand (CODCr) and Monod–CSTR (M3) model for the CODCr and ammonium nitrogen (NH4−N) showed a high correlation with the experimental data (R2 > 0.5). The pollutant removal rates in the case of M1 were 0.19 m/d (CODCr) and those for M3 were 25.2 g/m2∙d for CODCr and 2.63 g/m2∙d for NH4-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 (BOD5) and NH4-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.

UR - http://www.scopus.com/inward/record.url?scp=85048507103&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85048507103&partnerID=8YFLogxK

U2 - 10.1016/j.jenvman.2018.05.085

DO - 10.1016/j.jenvman.2018.05.085

M3 - Article

C2 - 29870966

AN - SCOPUS:85048507103

VL - 222

SP - 378

EP - 384

JO - Journal of Environmental Management

JF - Journal of Environmental Management

SN - 0301-4797

ER -