Contamination depth prediction in sandy soils using fuzzy rule-based expert system

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dc.contributor.authorAlsamia, Shaymaa
dc.contributor.authorAlbedran, Hazim
dc.contributor.authorMahmood, Mohammed Sh.
dc.contributor.statusnem
dc.date.accessioned2023-05-08T13:03:06Z
dc.date.available2023-05-08T13:03:06Z
dc.date.issued2023-02-13
dc.description.abstractAs a result of rainfall in large quantities, the leachate generated under the municipal solid waste (MSW) is increased, which leaks to the groundwater aquifers and pollutes it. Accurate evaluation of leachate leaks levels has long been regarded as a problem in Iraq due to a lack of reliable data and costly measuring costs. This work proposes a novel fuzzy expert system to predict the pollution status of the underground water in sandy soils. The expert system consists of two subsystems; fuzzy logic system and crisp logic system. The expert system is trained using a data set developed by finite element analysis of sandy soil subjected to contamination materials.
dc.identifier.doi10.1556/1848.2022.00445
dc.identifier.issn2062-0810
dc.identifier.issue1
dc.identifier.jtitleInternational Review of Applied Sciences and Engineering
dc.identifier.urihttps://hdl.handle.net/2437/352277
dc.identifier.urlhttps://akjournals.com/view/journals/1848/14/1/article-p87.xml
dc.identifier.volume14
dc.language.isoen
dc.publisherAkadémiai Kiadó
dc.subjectartificial intelligence
dc.subjectcontamination
dc.subjectfuzzy logic
dc.subjectexpert system
dc.subjectfinite elements analysis
dc.subjectunderground water
dc.titleContamination depth prediction in sandy soils using fuzzy rule-based expert system
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International Review of Applied Sciences and Engineering