{"title":"斯法克斯南部沿海地区污染评估的多标准分析","authors":"Z. Drira, M. Boujelben, H. Ayadi","doi":"10.1504/IJMCDM.2018.10015559","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"7 1","pages":"217-235"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A multicriteria analysis to assess the pollution in the southern coastal area of Sfax\",\"authors\":\"Z. Drira, M. Boujelben, H. Ayadi\",\"doi\":\"10.1504/IJMCDM.2018.10015559\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":38183,\"journal\":{\"name\":\"International Journal of Multicriteria Decision Making\",\"volume\":\"7 1\",\"pages\":\"217-235\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Multicriteria Decision Making\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJMCDM.2018.10015559\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Multicriteria Decision Making","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMCDM.2018.10015559","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
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.
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