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@article{ART002660394},
author={Kim Joon Hyun and Sooyoung Ahn and Minwoo Park},
title={Development of Optimal Chlorination Model and Parameter Studies},
journal={Journal of Environmental Impact Assessment},
issn={1225-7184},
year={2020},
volume={29},
number={6},
pages={403-413}

TY - JOUR
AU - Kim Joon Hyun
AU - Sooyoung Ahn
AU - Minwoo Park
TI - Development of Optimal Chlorination Model and Parameter Studies
JO - Journal of Environmental Impact Assessment
PY - 2020
VL - 29
IS - 6
PB - Korean Society Of Environmental Impact Assessment
SP - 403
EP - 413
SN - 1225-7184
AB - A mathematical model comprised with eight simultaneous quasi-linear partial differential equations was suggested to provide optimal chlorination strategy. Upstream weighted finite element method was employed to construct multidimensional numerical code. The code was verified against measured concentrations in three type of reactors. Boundary conditions and reaction rate were calibrated for the sixteen cases of experimental results to regenerate the measured values. Eight reaction rate coefficients were estimated from the modeling result. The reaction rate coefficients were expressed in terms of pH and temperature. Automatic optimal algorithm was invented to estimate the reaction rate coefficients by minimizing the sum of squares of the numerical errors and combined with the model. In order to minimize the concentration of chlorine and pollutants at the final usage sites, a real time predictive control system is imperative which can predict the water quality variables from the chlorine disinfection process at the water purification plant to the customer by means of a model and operate the disinfection process according to the influent water quality. This model can be used to build such a system in water treatment plants.
KW - Optimal chlorination model;experimental and modeling verification;automatic estimation of reaction rate;multidimensional finite element model. parameter study;predictive control system of chlorination mode
DO -
UR -
ER -

Kim Joon Hyun, Sooyoung Ahn and Minwoo Park. (2020). Development of Optimal Chlorination Model and Parameter Studies. Journal of Environmental Impact Assessment, 29(6), 403-413.

Kim Joon Hyun, Sooyoung Ahn and Minwoo Park. 2020, "Development of Optimal Chlorination Model and Parameter Studies", Journal of Environmental Impact Assessment, vol.29, no.6 pp.403-413.

Kim Joon Hyun, Sooyoung Ahn, Minwoo Park "Development of Optimal Chlorination Model and Parameter Studies" Journal of Environmental Impact Assessment 29.6 pp.403-413 (2020) : 403.

Kim Joon Hyun, Sooyoung Ahn, Minwoo Park. Development of Optimal Chlorination Model and Parameter Studies. 2020; 29(6), 403-413.

Kim Joon Hyun, Sooyoung Ahn and Minwoo Park. "Development of Optimal Chlorination Model and Parameter Studies" Journal of Environmental Impact Assessment 29, no.6 (2020) : 403-413.

Kim Joon Hyun; Sooyoung Ahn; Minwoo Park. Development of Optimal Chlorination Model and Parameter Studies. Journal of Environmental Impact Assessment, 29(6), 403-413.

Kim Joon Hyun; Sooyoung Ahn; Minwoo Park. Development of Optimal Chlorination Model and Parameter Studies. Journal of Environmental Impact Assessment. 2020; 29(6) 403-413.

Kim Joon Hyun, Sooyoung Ahn, Minwoo Park. Development of Optimal Chlorination Model and Parameter Studies. 2020; 29(6), 403-413.

Kim Joon Hyun, Sooyoung Ahn and Minwoo Park. "Development of Optimal Chlorination Model and Parameter Studies" Journal of Environmental Impact Assessment 29, no.6 (2020) : 403-413.