A Fuzzy Markov approach for assessing groundwater pollution potential for landfill siting

Wei Yea Chen, Jehng-Jung Kao*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

This study presents a Fuzzy Markov groundwater pollution potential assessment approach to facilitate landfill siting analysis. Landfill siting is constrained by various regulations and is complicated by the uncertainty of groundwater related factors. The conventional static rating method cannot properly depict the potential impact of pollution on a groundwater table because the groundwater table level fluctuates. A Markov chain model is a dynamic model that can be viewed as a hybrid of probability and matrix models. The probability matrix of the Markov chain model is determined based on the groundwater table elevation time series. The probability reflects the likelihood of the groundwater table changing between levels. A fuzzy set method is applied to estimate the degree of pollution potential, and a case study demonstrates the applicability of the proposed approach. The short- and long-term pollution potential information provided by the proposed approach is expected to enhance landfill siting decisions.

Original languageEnglish
Pages (from-to)187-197
Number of pages11
JournalWaste Management and Research
Volume20
Issue number2
DOIs
StatePublished - 1 Jan 2002

Keywords

  • Dynamic system
  • Fuzzy set
  • Groundwater table
  • Landfill siting
  • Markov chain
  • wmr 485-5

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