TY - JOUR
T1 - Corrigendum to
T2 - Evaluating the performance of extended and unscented Kalman filters in the reverse osmosis process (Desalination and Water Treatment, 163, 118–124, 10.5004/dwt.2019.24408)
AU - Lim, Seung Ji
AU - Ki, Seo Jin
AU - Seo, Jangwon
AU - Chae, Sung Ho
AU - Lee, Young Geun
AU - Jeong, Kwanho
AU - Park, Jungsu
AU - Kim, Joon Ha
N1 - Publisher Copyright:
© 2022 Desalination Publications. All rights reserved.
PY - 2022/9
Y1 - 2022/9
N2 - In the published article the following sentences at the end of Section 2.1 (page 120) have been erroneously omitted: "It is noted that the observed data of Fujairah plant described in this section was previously used to conduct numerical studies of the reverse osmosis process [17–19]. The same data was employed to evaluate the performance of two Kalman filter algorithms for estimating fouling in the reverse osmosis process." The following references have been added: [17] D.Y. Kim, M.H. Lee, S. Lee, J.H. Kim, D.R. Yang, Online estimation of fouling development for SWRO system using real data, Desalination 247(1) (2009) 200–209. [18] Y.G. Lee, Y.S. Lee, D.Y. Kim, M. Park, D.R. Yang, J.H. Kim, A fouling model for simulating long-term performance of SWRO desalination process, J. Membr. Sci., 401–402 (2012) 282–291. [19] S.J. Lim, Y.M. Kim, H.S. Park, S.J. Ki, K. Jeong, J. Seo, S.H. Chae, J.H. Kim, Enhancing accuracy of membrane fouling prediction using hybrid machine learning models, Desal. Water Treat., 146 (2019) 22–28. Reference [18] was cited in the original article as [21]. The reference numbering was modified accordingly. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
AB - In the published article the following sentences at the end of Section 2.1 (page 120) have been erroneously omitted: "It is noted that the observed data of Fujairah plant described in this section was previously used to conduct numerical studies of the reverse osmosis process [17–19]. The same data was employed to evaluate the performance of two Kalman filter algorithms for estimating fouling in the reverse osmosis process." The following references have been added: [17] D.Y. Kim, M.H. Lee, S. Lee, J.H. Kim, D.R. Yang, Online estimation of fouling development for SWRO system using real data, Desalination 247(1) (2009) 200–209. [18] Y.G. Lee, Y.S. Lee, D.Y. Kim, M. Park, D.R. Yang, J.H. Kim, A fouling model for simulating long-term performance of SWRO desalination process, J. Membr. Sci., 401–402 (2012) 282–291. [19] S.J. Lim, Y.M. Kim, H.S. Park, S.J. Ki, K. Jeong, J. Seo, S.H. Chae, J.H. Kim, Enhancing accuracy of membrane fouling prediction using hybrid machine learning models, Desal. Water Treat., 146 (2019) 22–28. Reference [18] was cited in the original article as [21]. The reference numbering was modified accordingly. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
UR - http://www.scopus.com/inward/record.url?scp=85139656953&partnerID=8YFLogxK
U2 - 10.5004/dwt.2022.29012
DO - 10.5004/dwt.2022.29012
M3 - Comment/debate
AN - SCOPUS:85139656953
SN - 1944-3994
VL - 270
SP - 321
JO - Desalination and Water Treatment
JF - Desalination and Water Treatment
ER -