A fuzzy rule based remedial priority ranking system for contaminated sites.
Ground Water
; 53(2): 317-27, 2015.
Article
em En
| MEDLINE
| ID: mdl-24841374
ABSTRACT
Contaminated site remediation is generally difficult, time consuming, and expensive. As a result ranking may aid in efficient allocation of resources. In order to rank the priorities of contaminated sites, input parameters relevant to contaminant fate and transport, and exposure assessment should be as accurate as possible. Yet, in most cases these parameters are vague or not precise. Most of the current remediation priority ranking methodologies overlook the vagueness in parameter values or do not go beyond assigning a contaminated site to a risk class. The main objective of this study is to develop an alternative remedial priority ranking system (RPRS) for contaminated sites in which vagueness in parameter values is considered. RPRS aims to evaluate potential human health risks due to contamination using sufficiently comprehensive and readily available parameters in describing the fate and transport of contaminants in air, soil, and groundwater. Vagueness in parameter values is considered by means of fuzzy set theory. A fuzzy expert system is proposed for the evaluation of contaminated sites and a software (ConSiteRPRS) is developed in Microsoft Office Excel 2007 platform. Rankings are employed for hypothetical and real sites. Results show that RPRS is successful in distinguishing between the higher and lower risk cases.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Contexto em Saúde:
1_ASSA2030
/
2_ODS3
Problema de saúde:
1_financiamento_saude
/
2_quimicos_contaminacion
Assunto principal:
Software
/
Resíduos Perigosos
/
Recuperação e Remediação Ambiental
Tipo de estudo:
Etiology_studies
/
Health_economic_evaluation
Idioma:
En
Revista:
Ground Water
Assunto da revista:
SAUDE AMBIENTAL
/
TOXICOLOGIA
Ano de publicação:
2015
Tipo de documento:
Article
País de afiliação:
Turquia