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Fan, X., He, L., Lu, H.W., Li, J. (2014) Environmental- and health-risk-induced remediation design for benzene-contaminated groundwater under parameter uncertainty: A case study in Western Canada. Chemosphere, 111. 604-612 doi:10.1016/j.chemosphere.2014.04.082

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Reference TypeJournal (article/letter/editorial)
TitleEnvironmental- and health-risk-induced remediation design for benzene-contaminated groundwater under parameter uncertainty: A case study in Western Canada
JournalChemosphere
AuthorsFan, X.Author
He, L.Author
Lu, H.W.Author
Li, J.Author
Year2014 (September)Volume111
PublisherElsevier BV
DOIdoi:10.1016/j.chemosphere.2014.04.082Search in ResearchGate
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Mindat Ref. ID3992544Long-form Identifiermindat:1:5:3992544:8
GUID0
Full ReferenceFan, X., He, L., Lu, H.W., Li, J. (2014) Environmental- and health-risk-induced remediation design for benzene-contaminated groundwater under parameter uncertainty: A case study in Western Canada. Chemosphere, 111. 604-612 doi:10.1016/j.chemosphere.2014.04.082
Plain TextFan, X., He, L., Lu, H.W., Li, J. (2014) Environmental- and health-risk-induced remediation design for benzene-contaminated groundwater under parameter uncertainty: A case study in Western Canada. Chemosphere, 111. 604-612 doi:10.1016/j.chemosphere.2014.04.082
In(2014) Chemosphere Vol. 111. Elsevier BV

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Fan, Xing, Li, Jing, Zhang, Jia Qi, He, Li, Lu, Hong Wei (2014) Health-Risk-Included Optimal Model for Groundwater Remediation Design under Uncertainty: A Case Study in Western Canada. Advanced Materials Research, 955. 1065-1068 doi:10.4028/www.scientific.net/amr.955-959.1065
Li, Jing, He, Li, Lu, Hongwei, Fan, Xing (2014) Stochastic goal programming based groundwater remediation management under human-health-risk uncertainty. Journal of Hazardous Materials, 279. 257-267 doi:10.1016/j.jhazmat.2014.06.082
He, L., Huang, G.H., Lu, H.W. (2010) A stochastic optimization model under modeling uncertainty and parameter certainty for groundwater remediation design—Part I. Model development. Journal of Hazardous Materials, 176. 521-526 doi:10.1016/j.jhazmat.2009.11.060
He, L., Huang, G.H., Lu, H.W. (2010) A stochastic optimization model under modeling uncertainty and parameter certainty for groundwater remediation design: Part II. Model application. Journal of Hazardous Materials, 176. 527-534 doi:10.1016/j.jhazmat.2009.11.061
Ren, Lixia, He, Li, Lu, Hongwei, Li, Jing (2017) Rough-interval-based multicriteria decision analysis for remediation of 1,1-dichloroethane contaminated groundwater. Chemosphere, 168. 244-253 doi:10.1016/j.chemosphere.2016.10.042
(2009) A coupled simulation-optimization approach for groundwater remediation design under uncertainty: An application to a petroleum-contaminated site. Environmental Pollution, 157 (8) 2485-2492 doi:10.1016/j.envpol.2009.03.005
He, Li, Huang, Guo-he, Zeng, Guang-ming, Lu, Hong-wei (2008) An integrated simulation, inference, and optimization method for identifying groundwater remediation strategies at petroleum-contaminated aquifers in western Canada. Water Research, 42. 2629-2639 doi:10.1016/j.watres.2008.01.012
He, Li, Huang, Guo-he, Lu, Hong-wei, Zeng, Guang-ming (2008) Optimization of Surfactant-Enhanced Aquifer Remediation for a Laboratory BTEX System under Parameter Uncertainty. Environmental Science & Technology, 42 (6). 2009-2014 doi:10.1021/es071106y
Chen, Yen-chuan, Ma, Hwong-wen (2006) Model comparison for risk assessment: A case study of contaminated groundwater. Chemosphere, 63 (5). 751-761 doi:10.1016/j.chemosphere.2005.08.011
Yang, Qi, Shen, Jing, Fan, Xing, Li, Chao, Shen, Yang Shuo, Huang, Guo He, He, Li (2012) A Multi-Objective Optimal Model for a Petroleum-Contaminated Aquifer Groundwater Remediation in Western Canada. Advanced Materials Research, 518. 2054-2057 doi:10.4028/www.scientific.net/amr.518-523.2054
Wang, Zheng, He, Li, Lu, Hongwei, Ren, Lixia, Xu, Zongda (2016) Network environmental analysis based ecological risk assessment of a naphthalene-contaminated groundwater ecosystem under varying remedial schemes. Journal of Hydrology, 543. 612-624 doi:10.1016/j.jhydrol.2016.10.034
 
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