PMID- 33002773
OWN - NLM
STAT- MEDLINE
DCOM- 20210218
LR  - 20210218
IS  - 1879-2448 (Electronic)
IS  - 0043-1354 (Linking)
VI  - 187
DP  - 2020 Dec 15
TI  - Approach based on TOPSIS and Monte Carlo simulation methods to evaluate lake 
      eutrophication levels.
PG  - 116437
LID - S0043-1354(20)30972-6 [pii]
LID - 10.1016/j.watres.2020.116437 [doi]
AB  - This study presents an approach for eutrophication evaluation based on the 
      technique for order preference by similarity to an ideal solution (TOPSIS) method 
      and Monte Carlo simulation (MCS). The MCS is employed to produce a normally 
      distributed dataset based on the observed data while the TOPSIS method and 
      membership function are used to evaluate the level of eutrophication. Herein, a 
      eutrophication problem in Lake Erhai is evaluated to check the performance of the 
      proposed approach. The evaluation results were consistent with the real situation 
      when the coefficient P in the membership function is equal to 1. Moreover, the 
      developed approach is able to (i) deal with evaluation items with inherent 
      fuzziness and uncertainties, (ii) improve the reliability of evaluation results 
      via MCS, and (iii) raise the tolerance to errors in measured data. A global 
      sensitivity analysis indicated that the potassium permanganate index (COD(Mn)) 
      and Secchi disc (SD) are the most sensitive factors in the developed approach. 
      Finally, a range for the coefficient P value in the membership function was 
      recommended.
CI  - Copyright (c) 2020 Elsevier Ltd. All rights reserved.
FAU - Lin, Song-Shun
AU  - Lin SS
AD  - Department of Civil Engineering, School of Naval Architecture, Ocean, and Civil 
      Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
FAU - Shen, Shui-Long
AU  - Shen SL
AD  - MOE Key Laboratory of Intelligent Manufacturing Technology, College of 
      Engineering, Shantou University, Shantou, Guangdong 515063, China. Electronic 
      address: shensl@stu.edu.cn.
FAU - Zhou, Annan
AU  - Zhou A
AD  - Discipline of Civil and Infrastructure, School of Engineering, Royal Melbourne 
      Institute of Technology (RMIT), Victoria 3001, Australia.
FAU - Xu, Ye-Shuang
AU  - Xu YS
AD  - Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, 
      Shanghai Jiao Tong University, Shanghai 200240, China.
LA  - eng
PT  - Journal Article
DEP - 20200919
PL  - England
TA  - Water Res
JT  - Water research
JID - 0105072
RN  - 27YLU75U4W (Phosphorus)
RN  - N762921K75 (Nitrogen)
SB  - IM
MH  - China
MH  - Eutrophication
MH  - *Lakes
MH  - Monte Carlo Method
MH  - Nitrogen/analysis
MH  - *Phosphorus/analysis
MH  - Reproducibility of Results
OTO - NOTNLM
OT  - Eutrophication level evaluation
OT  - Lake Erhai
OT  - Monte Carlo simulation
OT  - TOPSIS method
COIS- Declaration of Competing Interest The authors declare that they have no known 
      competing financial interests' personal relationships that could have appeared to 
      influence the work reported in this paper.
EDAT- 2020/10/02 06:00
MHDA- 2021/02/20 06:00
CRDT- 2020/10/01 20:17
PHST- 2020/03/14 00:00 [received]
PHST- 2020/09/15 00:00 [revised]
PHST- 2020/09/18 00:00 [accepted]
PHST- 2020/10/02 06:00 [pubmed]
PHST- 2021/02/20 06:00 [medline]
PHST- 2020/10/01 20:17 [entrez]
AID - S0043-1354(20)30972-6 [pii]
AID - 10.1016/j.watres.2020.116437 [doi]
PST - ppublish
SO  - Water Res. 2020 Dec 15;187:116437. doi: 10.1016/j.watres.2020.116437. Epub 2020 
      Sep 19.