کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5749340 1619150 2017 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Model-predicted occurrence of multiple pharmaceuticals in Swedish surface waters and their flushing to the Baltic Sea
ترجمه فارسی عنوان
پیش بینی مدل پیشگیری از داروهای متعدد در آبهای سطحی سوئد و شستشوی آنها در دریای بالتیک
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم محیط زیست شیمی زیست محیطی
چکیده انگلیسی


- An exposure assessment for pharmaceuticals in water was done with STREAM-EU model.
- 35 drugs had predicted flushes to the sea higher that 1 kg/y.
- In Stockholm 25 drugs had predicted concentrations >1 ng/L with 17 drugs >10 ng/L.
- Persistence + hydrophobicity determined long-range transport and exposure potential.

An exposure assessment for multiple pharmaceuticals in Swedish surface waters was made using the STREAM-EU model. Results indicate that Metformin (27 ton/y), Paracetamol (6.9 ton/y) and Ibuprofen (2.33 ton/y) were the drugs with higher amounts reaching the Baltic Sea in 2011. 35 of the studied substances had more than 1 kg/y of predicted flush to the sea. Exposure potential given by the ratio amount of the drug exported to the sea/amount emitted to the environment was higher than 50% for 7 drugs (Piperacillin, Lorazepam, Metformin, Hydroxycarbamide, Hydrochlorothiazide, Furosemide and Cetirizine), implying that a high proportion of them will reach the sea, and below 10% for 27 drugs, implying high catchment attenuation. Exposure potentials were found to be dependent of persistency and hydrophobicity of the drugs. Chemicals with Log D > 2 had exposure potentials <10% regardless of their persistence. Chemicals with Log D  <  −2 had exposure potentials >35% with higher ratios typically achieved for longer half-lives. For Stockholm urban area, 17 of the 54 pharmaceuticals studied had calculated concentrations higher than 10 ng/L. Model agreement with monitored values had an r2 = 0.62 for predicted concentrations and an r2 = 0.95 for predicted disposed amounts to sea.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environmental Pollution - Volume 223, April 2017, Pages 595-604
نویسندگان
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