دورية أكاديمية

Sale-based estimation of pharmaceutical concentrations and associated environmental risk in the Japanese wastewater system

التفاصيل البيبلوغرافية
العنوان: Sale-based estimation of pharmaceutical concentrations and associated environmental risk in the Japanese wastewater system
المؤلفون: Kai He, Alistair G. Borthwick, Yingchao Lin, Yuening Li, Jie Fu, Yongjie Wong, Wen Liu
المصدر: Environment International, Vol 139, Iss , Pp - (2020)
بيانات النشر: Elsevier, 2020.
سنة النشر: 2020
المجموعة: LCC:Environmental sciences
مصطلحات موضوعية: Pharmaceuticals, Wastewater system, Predicted environmental concentrations, Environmental risk assessment, EPI suite, Environmental sciences, GE1-350
الوصف: Information on sales and emission of selected pharmaceuticals were used to predict their concentrations in Japanese wastewater influent through a >300 of pharmaceuticals data sink. A combined wastewater-based epidemiology and environmental risk analysis follow was established. By comparing predicted environmental concentrations (PECs) of pharmaceuticals in wastewater influent against measured environmental concentrations (MECs) reported in previous studies, it was found that the model gave accurate results for 17 pharmaceuticals (0.5 1 μg/L), and the PECs of 6 pharmaceuticals were extremely high (>10 μg/L) in wastewater effluent, which could be attributed to their high usage rates by consumers and poor removal rates in wastewater treatment plants (WWTPs). Furthermore, environmental risk assessment (ERA) was carried out by calculating the ratio of predicted no effect concentration (PNEC) to PEC of different pharmaceuticals, and it was found that 9 pharmaceuticals were likely to have high toxicity, and 54 pharmaceuticals were likely to have potential toxicity. It is recommended that this is further investigated in detail. The priority screening and environmental risk assessment results on pharmaceuticals can provide reliable basis for policy-making and environmental management.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 0160-4120
Relation: http://www.sciencedirect.com/science/article/pii/S0160412019341145; https://doaj.org/toc/0160-4120
DOI: 10.1016/j.envint.2020.105690
URL الوصول: https://doaj.org/article/fd6ad416888d42cdb5af76e2e3a2d17d
رقم الأكسشن: edsdoj.fd6ad416888d42cdb5af76e2e3a2d17d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:01604120
DOI:10.1016/j.envint.2020.105690