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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

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Reference TypeJournal (article/letter/editorial)
TitleA stochastic optimization model under modeling uncertainty and parameter certainty for groundwater remediation design—Part I. Model development
JournalJournal of Hazardous Materials
AuthorsHe, L.Author
Huang, G.H.Author
Lu, H.W.Author
Year2010 (April 15)Volume176
PublisherElsevier BV
DOIdoi:10.1016/j.jhazmat.2009.11.060Search in ResearchGate
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Mindat Ref. ID12542273Long-form Identifiermindat:1:5:12542273:6
GUID0
Full ReferenceHe, 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
Plain TextHe, 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
In(n.d.) Journal of Hazardous Materials Vol. 176. Elsevier BV

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Li, Jing, He, Li, Lu, Hongwei, Fan, Xing (2015) Control of stochastic carcinogenic and noncarcinogenic risks in groundwater remediation through an integrated optimization design model. Stochastic Environmental Research and Risk Assessment, 29 (8). 2159-2172 doi:10.1007/s00477-015-1106-5
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
Guo, P., Huang, G.H., He, L., Sun, B.W. (2008) ITSSIP: Interval-parameter two-stage stochastic semi-infinite programming for environmental management under uncertainty. Environmental Modelling & Software, 23 (12). 1422-1437 doi:10.1016/j.envsoft.2008.04.009
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