PMID- 28583424
OWN - NLM
STAT- MEDLINE
DCOM- 20171023
LR  - 20181202
IS  - 1873-6009 (Electronic)
IS  - 0169-7722 (Linking)
VI  - 203
DP  - 2017 Aug
TI  - Conservative strategy-based ensemble surrogate model for optimal groundwater 
      remediation design at DNAPLs-contaminated sites.
PG  - 1-8
LID - S0169-7722(16)30298-4 [pii]
LID - 10.1016/j.jconhyd.2017.05.007 [doi]
AB  - The surrogate-based simulation-optimization techniques are frequently used for 
      optimal groundwater remediation design. When this technique is used, surrogate 
      errors caused by surrogate-modeling uncertainty may lead to generation of 
      infeasible designs. In this paper, a conservative strategy that pushes the 
      optimal design into the feasible region was used to address surrogate-modeling 
      uncertainty. In addition, chance-constrained programming (CCP) was adopted to 
      compare with the conservative strategy in addressing this uncertainty. Three 
      methods, multi-gene genetic programming (MGGP), Kriging (KRG) and support vector 
      regression (SVR), were used to construct surrogate models for a time-consuming 
      multi-phase flow model. To improve the performance of the surrogate model, 
      ensemble surrogates were constructed based on combinations of different 
      stand-alone surrogate models. The results show that: (1) the surrogate-modeling 
      uncertainty was successfully addressed by the conservative strategy, which means 
      that this method is promising for addressing surrogate-modeling uncertainty. (2) 
      The ensemble surrogate model that combines MGGP with KRG showed the most 
      favorable performance, which indicates that this ensemble surrogate can utilize 
      both stand-alone surrogate models to improve the performance of the surrogate 
      model.
CI  - Copyright (c) 2017 Elsevier B.V. All rights reserved.
FAU - Ouyang, Qi
AU  - Ouyang Q
AD  - Key Laboratory of Groundwater Resources and Environment, Ministry of Education, 
      Jilin University, Changchun 130021, PR China; College of Environment and 
      Resources, Jilin University, Changchun 130021, PR China.
FAU - Lu, Wenxi
AU  - Lu W
AD  - Key Laboratory of Groundwater Resources and Environment, Ministry of Education, 
      Jilin University, Changchun 130021, PR China; College of Environment and 
      Resources, Jilin University, Changchun 130021, PR China. Electronic address: 
      luwenxi@jlu.edu.cn.
FAU - Lin, Jin
AU  - Lin J
AD  - State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, 
      Nanjing Hydraulic Research Institute, Nanjing 210029, PR China.
FAU - Deng, Wenbing
AU  - Deng W
AD  - Cores and Samples Center of Land and Resources, China Geological Survey, Yanjiao 
      065201, PR China.
FAU - Cheng, Weiguo
AU  - Cheng W
AD  - Shenyang Academy of Environmental Sciences, Shenyang 110000, PR China.
LA  - eng
PT  - Journal Article
DEP - 20170531
PL  - Netherlands
TA  - J Contam Hydrol
JT  - Journal of contaminant hydrology
JID - 8805644
SB  - IM
MH  - Environmental Restoration and Remediation/*methods
MH  - *Groundwater/chemistry
MH  - *Models, Theoretical
MH  - Software
MH  - Spatial Analysis
MH  - Uncertainty
MH  - *Water Pollution, Chemical
OTO - NOTNLM
OT  - Conservative strategy
OT  - Groundwater remediation
OT  - Optimization
OT  - Surrogate
OT  - Uncertainty
EDAT- 2017/06/07 06:00
MHDA- 2017/10/24 06:00
CRDT- 2017/06/07 06:00
PHST- 2016/11/22 00:00 [received]
PHST- 2017/04/18 00:00 [revised]
PHST- 2017/05/30 00:00 [accepted]
PHST- 2017/06/07 06:00 [pubmed]
PHST- 2017/10/24 06:00 [medline]
PHST- 2017/06/07 06:00 [entrez]
AID - S0169-7722(16)30298-4 [pii]
AID - 10.1016/j.jconhyd.2017.05.007 [doi]
PST - ppublish
SO  - J Contam Hydrol. 2017 Aug;203:1-8. doi: 10.1016/j.jconhyd.2017.05.007. Epub 2017 
      May 31.