Application of fuzzy decision in wastewater treatment project: A case study of Taizhou pharmaceutical park in China

Pharmaceutical wastewater is one of the most difficult industrial wastewaters to treat. The environmental protection department must supervise the enterprises to choose the appropriate wastewater treatment process and strengthen the management of wastewater treatment at the organizational and operat...

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Main Authors: Wei, Haoran, Dai, Jie, Xin, Ling, Zhang, Huifang, Yang, Debin, Wang, Yuanzhu
Format: Article
Published: Springer Science and Business Media Deutschland GmbH 2024
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Online Access:http://eprints.um.edu.my/45018/
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Summary:Pharmaceutical wastewater is one of the most difficult industrial wastewaters to treat. The environmental protection department must supervise the enterprises to choose the appropriate wastewater treatment process and strengthen the management of wastewater treatment at the organizational and operational level. This paper designs the evaluation index system of sewage treatment supervision by consulting data, enterprise research, collecting expert opinions, and other work, and uses analytic hierarchy process (AHP) to calculate the weight of each index to fully reflect the value status of each index in the system. This paper first constructed a hierarchical structure model of the evaluation index system of pharmaceutical enterprises’ sewage treatment supervision, and then took China Medical City, a national pharmaceutical park in Taizhou, Jiangsu Province, as a case study. Experts and scholars who have participated in environmental protection work of the park for a long time as well as management personnel of HSE department are invited to conduct pair-wise comparison and score for the final weight calculation of indicators. From the weight results, it is found that input cost and pollutant reduction are the indicators with the highest weight. Therefore, in the future, the park needs to improve its pollution reduction ability on the basis of cost consideration. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.