Effluent trading in river systems through stochastic decision-making process: a case study.
Environ Sci Pollut Res Int
; 24(25): 20655-20672, 2017 Sep.
Article
em En
| MEDLINE
| ID: mdl-28712084
ABSTRACT
The objective of this paper is to provide an efficient framework for effluent trading in river systems. The proposed framework consists of two pessimistic and optimistic decision-making models to increase the executability of river water quality trading programs. The models used for this purpose are (1) stochastic fallback bargaining (SFB) to reach an agreement among wastewater dischargers and (2) stochastic multi-criteria decision-making (SMCDM) to determine the optimal treatment strategy. The Monte-Carlo simulation method is used to incorporate the uncertainty into analysis. This uncertainty arises from stochastic nature and the errors in the calculation of wastewater treatment costs. The results of river water quality simulation model are used as the inputs of models. The proposed models are used in a case study on the Zarjoub River in northern Iran to determine the best solution for the pollution load allocation. The best treatment alternatives selected by each model are imported, as the initial pollution discharge permits, into an optimization model developed for trading of pollution discharge permits among pollutant sources. The results show that the SFB-based water pollution trading approach reduces the costs by US$ 14,834 while providing a relative consensus among pollutant sources. Meanwhile, the SMCDM-based water pollution trading approach reduces the costs by US$ 218,852, but it is less acceptable by pollutant sources. Therefore, it appears that giving due attention to stability, or in other words acceptability of pollution trading programs for all pollutant sources, is an essential element of their success.
Palavras-chave
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:
Poluição Química da Água
/
Qualidade da Água
/
Eliminação de Resíduos Líquidos
/
Tomada de Decisões
/
Rios
/
Águas Residuárias
Tipo de estudo:
Health_economic_evaluation
/
Prognostic_studies
País/Região como assunto:
Asia
Idioma:
En
Revista:
Environ Sci Pollut Res Int
Assunto da revista:
SAUDE AMBIENTAL
/
TOXICOLOGIA
Ano de publicação:
2017
Tipo de documento:
Article
País de afiliação:
Irã