Prediction of concentration levels of metformin and other high consumption pharmaceuticals in wastewater and regional surface water based on sales data

Local consumption data of pharmaceuticals were used to study the emission to wastewater and surface waters in two small Dutch water catchments. For nine high consumption pharmaceuticals: metformin, metoprolol, sotalol, losartan, valsartan, irbesartan, hydrochlorothiazide, diclofenac and carbamazepin...

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Veröffentlicht in:	The Science of the total environment Jg. 442; S. 380 - 388
Hauptverfasser:	Oosterhuis, Mathijs, Sacher, Frank, ter Laak, Thomas L.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier B.V 01.01.2013 Elsevier
Schlagworte:	Air. Soil. Water. Waste. Feeding analysis Applied sciences biodegradation Biological and medical sciences chemistry Consumption based monitoring Continental surface waters economics effluents emissions Environment. Living conditions Environmental Monitoring Environmental Monitoring - methods Environmental Monitoring - statistics & numerical data Exact sciences and technology Forecasting Fresh Water Fresh Water - chemistry Guanylurea hydrochlorothiazide Marketing Medical sciences Metformin Metformin - analysis Metformin - economics methods monitoring Natural water pollution Netherlands Other wastewaters Pharmaceutical Preparations Pharmaceutical Preparations - analysis Pharmaceutical Preparations - economics Pharmaceuticals Pollution prediction Public health. Hygiene Public health. Hygiene-occupational medicine Regional surface water sewage treatment statistics & numerical data surface water temperature Waste Water - chemistry Wastewater Wastewaters Water Pollutants, Chemical Water Pollutants, Chemical - analysis Water treatment and pollution watersheds Netherlands Europe Guanylurea Regional surface water Metformin Consumption based monitoring Wastewater Pharmaceuticals Drug Urine Biological fluid Elimination Prediction Waste water Hypoglycemic agent Sales Surface water Water quality Emerging pollutant Water pollution Daily dose Monitoring
ISSN:	0048-9697, 1879-1026, 1879-1026
Online-Zugang:	Volltext
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