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

Fájlok
Dátum
2023-02-13
Folyóirat címe
Folyóirat ISSN
Kötet címe (évfolyam száma)
Kiadó
Akadémiai Kiadó
Absztrakt

As 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.

Leírás
Kulcsszavak
artificial intelligence, contamination, fuzzy logic, expert system, finite elements analysis, underground water
Forrás