Continental scale inverse modeling of common organic water contaminants in European rivers

Towards spatially smart abatement of human pharmaceuticals in surface waters: Defining impact of sewage treatment plants on susceptible functions

“…Loos et al, 2013Loos et al, , 2010Loos et al, , 2009Monteiro and Boxall, 2010). Modeling efforts are somewhat more scarce (Aldekoa et al, 2013;Alder et al, 2010;Johnson et al, 2013;Ort et al, 2009;Pistocchi et al, 2012;Ter Laak et al, 2010;Verlicchi et al, 2014). As concentrations of individual compounds and their derivatives are relatively low in drinking water and its sources (ng/L to mg/L), for individual compounds or simple mixtures of known compounds adverse human health effects are not expected (Bruce et al, 2010;De Jongh et al, 2012;Houtman et al, 2014;Schriks et al, 2010).…”

Occurrence of organic microcontaminants in the wastewater treatment process. A mini review

“…[8][9][10][11][12][13]. As a result of their broad usage, these microcontaminants have been detected in concentrations up to several g/L in WWTP effluents and in surface waters.…”

Assessment of riverine load of contaminants to european seas under policy implementation scenarios: An example with 3 pilot substances

“…These models require input data about chemical emissions to different environmental media, landscape, and climate parameters and physicochemical properties of substances that drive their fate and transport and predict chemicals' concentrations and fluxes including sea loads (Pistocchi ; Pistocchi et al ; Pistocchi, Sarigiannis et al ; Pistocchi, Zulian et al ). Models may also be used to estimate emissions from measured concentrations and fluxes (Pistocchi and Loos ; Pistocchi et al ).…”

“…Inverse models may support assessments of chemical emission factors at regional or continental scale in relation to assumed emission patterns such as catchment population. The verification of the inverse MAPPE model is discussed in detail in Pistocchi and Loos () for perfluorinated compounds and in Pistocchi et al () for pharmaceuticals and personal care products. Although results indicate that the discrepancy between observed and computed concentrations is within 1 order of magnitude, such large deviations happen relatively seldom (see Marinov et al ).…”