斯法克斯南部沿海地区污染评估的多标准分析

Q4 Business, Management and Accounting International Journal of Multicriteria Decision Making Pub Date : 2018-09-05 DOI:10.1504/IJMCDM.2018.10015559
Z. Drira, M. Boujelben, H. Ayadi
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引用次数: 2

摘要

斯法克斯(突尼斯)沿海海域以其高生产力和渔业而闻名。然而,它受到各种污染源的威胁,导致水质恶化。本文提出了一项涉及20个站点和23个物理化学和生物地球化学参数的研究。由于问题的多标准性质,De Smet等人的方法被用于评估该沿海地区的污染水平。这种方法的应用导致了三组具有不同污染水平的站点。结果表明,PO3–4、BOD5、COD、MN2+、Cl–和SO2–4是污染的主要因素。此外,他们还表明,SIAPE排放和磷石膏废物是PO3–4、Cl–和SO2–4的主要来源,这解释了高COD的原因。因此,有必要采取紧急行动,控制这些工业废物向海洋的装载,以减少污染并避免其传播。
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A multicriteria analysis to assess the pollution in the southern coastal area of Sfax
The coastal marine area of Sfax (Tunisia) is a well-known zone by its high productivity and fisheries. However, it is threatened by a variety of pollution sources contributing to a degradation of the water quality. In this paper, a study involving 20 stations and 23 physico-chemical and biogeochemical parameters is proposed. Due to the multicriteria nature of the problem, De Smet et al.'s method is used to assess the pollution level in this coastal area. The application of this approach leads to three groups of stations with different pollution levels. The results show that PO3–4, BOD5, COD, MN2+, Cl– and SO2–4 are the main factors of the pollution. In addition, they indicate that the SIAPE discharges and the phosphogypsum wastes are the main source of PO3–4, Cl– and SO2–4 which explain the high COD. Thus, an urgent action leading to control the loading of these industrial wastes into the sea is a necessity in order to reduce the pollution and to avoid its propagation.
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来源期刊
International Journal of Multicriteria Decision Making
International Journal of Multicriteria Decision Making Business, Management and Accounting-Strategy and Management
CiteScore
0.70
自引率
0.00%
发文量
9
期刊介绍: IJMCDM is a scholarly journal that publishes high quality research contributing to the theory and practice of decision making in ill-structured problems involving multiple criteria, goals and objectives. The journal publishes papers concerning all aspects of multicriteria decision making (MCDM), including theoretical studies, empirical investigations, comparisons and real-world applications. Papers exploring the connections with other disciplines in operations research and management science are particularly welcome. Topics covered include: -Artificial intelligence, evolutionary computation, soft computing in MCDM -Conjoint/performance measurement -Decision making under uncertainty -Disaggregation analysis, preference learning/elicitation -Group decision making, multicriteria games -Multi-attribute utility/value theory -Multi-criteria decision support systems and knowledge-based systems -Multi-objective mathematical programming -Outranking relations theory -Preference modelling -Problem structuring with multiple criteria -Risk analysis/modelling, sensitivity/robustness analysis -Social choice models -Theoretical foundations of MCDM, rough set theory -Innovative applied research in relevant fields
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