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An enhanced environmental multimedia modeling system based on fuzzy-set approach: II. Model validation and application
Zhang R. R.; Zhan, C. S.; Song, X. M.; Liu, B. L.
Source PublicationFrontiers of Environmental Science & Engineering
2015
Volume9
Issue6
Pages1025-1035
Keywordenvironmental multimedia modelling system fuzzy-set approach application model validation uncertainty analysis risk-assessment soil transport
AbstractPart I of this study develops an enhanced environmental multimedia modeling system (EMMS) based on fuzzy-set approach. Once the model development is complete, the composite module and the entire modeling system need to be tested and validated to ensure that the model can simulate natural phenomena with reasonable and reliable accuracy. The developed EMMS is first tested in a complete case study. And then verification results are conducted to compare with extensively researched literature data. In the third step, the data from an experimental landfill site is used for a pilot-scale validation. The comparisons between EMMS outputs and the literature data indicate that the EMMS can perform accurate modeling simulation. The modules of EMMS could support the entire environmental multimedia modeling system. Further field-scale validation is finished. The results are satisfactory. Most of the modeling yields closely match the monitoring data collected from sites. In addition, with the aid of fuzzy-set approach, EMMS can be a reliable and powerful tool to address the complex environmental multimedia pollution problems and provide an extensive support for decision makers in managing the contaminated environmental systems.
Indexed BySCI
Language英语
ISSN2095-2201
DOI10.1007/s11783-014-0655-z
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeSCI/SSCI论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/43505
Collection历年回溯文献
Recommended Citation
GB/T 7714
Zhang R. R.,Zhan, C. S.,Song, X. M.,et al. An enhanced environmental multimedia modeling system based on fuzzy-set approach: II. Model validation and application. 2015.
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