2024-03-28T20:53:38Zhttps://www.tdx.cat/oai/requestoai:www.tdx.cat:10803/6670112022-05-16T15:10:42Zcom_10803_253col_10803_266
nam a 5i 4500
Pharmaceuticals
Fàrmacs
Fármacos
Model uncertainty
Incertesa
Incertidumbre
Catchment modelling
Modelització de captació
Modelización de captación
WWTPs
Waste water treatment plants
Estacions depuradores d'aigües residuals
Estaciones depuradoras de aguas residuales
Decision-making
Presa de decisions
Toma de decisiones
Water pollution
Contaminació de l'aigua
Contaminación del agua
Environmental and socio-economical assessment of measures for the reduction of pharmaceuticals in rivers
[Girona] :
Universitat de Girona,
2019
Accés lliure
http://hdl.handle.net/10803/667011
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Gimeno Melià, Vicent Pau,
autor
1 recurs en línia (172 pàgines)
Tesi
Doctorat
Universitat de Girona. Departament d'Enginyeria Química, Agrària i Tecnologia Agroalimentària
2019
Universitat de Girona. Departament d'Enginyeria Química, Agrària i Tecnologia Agroalimentària
Tesis i dissertacions electròniques
Corominas Tabares, Lluís,
supervisor acadèmic
Comas Matas, Joaquim,
supervisor acadèmic
TDX
Pharmaceuticals are ubiquitous water contaminants that have shown detrimental effects on aquatic organisms at low concentrations. National authorities are starting to plan and implement measures (Wastewater treatment plants (WWTP) upgrades and source control) to reduce pharmaceutical concentrations in rivers. Decision-makers use models to predict the fate and transport of pharmaceuticals and to evaluate measures for the reduction of pharmaceuticals. However, there is still large uncertainty in the predictions which compromises decision-making. The cost of implementing WWTP upgrades at catchment level can be daunting, hence the development of tools that optimize the costs are indeed required. Moreover, there is little scientific information on the effectiveness of source control measures for the reduction of pharmaceutical concentrations at catchment scale. The aim of this thesis is to provide decision-makers with modelling tools for the evaluation of measures to reduce pharmaceutical concentrations in rivers. The modelling tools include uncertainty in the whole decision-making process
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