Contributions and potential impacts of seven priority substances (As, Cd, Cu, Cr, Ni, Pb, and Zn) to a major European Estuary (Gironde Estuary, France) from urban wastewater

Evidencing the natural and anthropogenic processes controlling trace metals dynamic in a highly stratified estuary: The Krka River estuary (Adriatic, Croatia)

“…between the two end-members. and for Zn such deviation could be explained by the formation of chloro-complexes (salinity and SPM positively correlate) (Hatje et al, 2003a;Waeles et al, 2005) (Dabrin et al, 2009;Deycard et al, 2014;Elbaz-Poulichet et al, 1996;Fu et al, 2013), for Co this is less expected considering its inorganic speciation. Contrary, no evident trends for other metals, or even increasing trend with salinity (Fe and Pb) were found (Fu et al, 2013).…”

“…The variability of elements partitioning related to the fluctuating KD could be perceived by plotting the relationship of particulate metal fraction (in %) on SPM concentration (Fig. SI-10) along the lines representing theoretically expected values for a defined logKD (Deycard et al, 2014;Oursel et al, 2014). Relatively high dispersion of values shows complexity, but also "sensitivity" of the studied estuary, in which even small change in either SPM concentration or their nature can be strongly reflected on KD value.…”

“…salinity) is driven largely by the particles content and their nature Deycard et al, 2014;Duarte et al, 2014;Elbaz-Poulichet et al, 1996;Hatje et al, 2003a;Koshikawa et al, 2007;Martino et al, 2002;Ollivier et al, 2011;Oursel et al, 2014;Petit et al, 2013;Robert et al, 2004;Waeles et al, 2007). Dissolved-particulate fractionation in natural waters is usually described and explained by the particle-water distribution coefficients (KD):…”

Quantifying the environmental impact of pollutant plumes from coastal rivers with remote sensing and river basin modelling

“…In a study of short intense precipitation, it was observed to increase volumetric loading by 60%-150% at two French WWTPs and increase loads of arsenic and lead between 70% and 200% [16], which would then potentially lead to larger pollutant levels in receiving water rivers and their plumes. Additional pollutants not simulated in this study, but that could be affecting water quality, include chemicals from olive oil production, such as phenols, ammonium and phosphorus, which were observed to degrade aquatic ecosystems in the olive oil production area of Messinia, Greece [30].…”

“…Land use analysis in the river basin can identify likely sources of pollutants from terrestrial activities and provide managers with data needed for identifying pollutant reduction options [15]. The meteorological forcing over the river basin regulates the timing and magnitude of loads [16], as well as the dynamics of mixing at the interface of the river and sea [17]. As such, meteorological data, processed with a dynamic river basin model, can complement river basin analysis and assist in the interpretation of remote sensing imagery of river plumes in coastal waters.…”