Title of article :
Seasonal variations and annual fluxes of arsenic in the Garonne,
Dordogne and Isle Rivers, France
Author/Authors :
Matthieu Masson، نويسنده , , J?rg Sch?fer ?، نويسنده , , Gerard Blanc، نويسنده , , Anschutz Pierre، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Abstract :
Daily measurements of water discharges and suspended particulate matter (SPM) concentrations and monthly analyses for
arsenic were conducted from 1999 to 2005 on the Garonne, Dordogne and Isle Rivers, the three main tributaries of the Gironde
Estuary, France. Despite the known historical polymetallic pollution affecting the Lot–Garonne River system, the highest As
concentration level was observed in the Isle River. This was explained by the geological context and various Au/As deposits in this
watershed. In the three studied rivers, dissolved As concentrations showed important seasonal variations with maximum values in
summer. The dissolved As concentrations were closely related to water temperature and their increase in spring/summer appeared
to be induced by water temperatures above ∼15 °C, independently from discharge. The reduction of As(V) to more soluble As(III)
and/or destruction of solid As carrier phases by micro-organisms could explain this observation, suggesting that temperaturedependent
biogeochemical processes play an important role in controlling As partition and speciation in fluvial systems.
Water and SPM fluxes in the Garonne River mainly control arsenic inputs into the Gironde Estuary and the downstream coastal
zones. Based on the present data, we propose an empirical model to roughly estimate the annual dissolved and particulate As fluxes
in the Garonne, Dordogne and Isle Rivers from annual water and SPM fluxes. The comparison of observed As fluxes and those
estimated from the empirical model suggests that resuspension of historical, polluted reservoir sediments during a major flood
accounted for ∼50% of the annual As fluxes in 2003.
Keywords :
Arsenic , river , seasonal variations , mass balance , Empirical model
Journal title :
Science of the Total Environment
Journal title :
Science of the Total Environment