title: Spatio-temporal variability of solid, total dissolved and labile metal: passive vs. discrete sampling evaluation in river metal monitoring.
abstract: In order to obtain representative dissolved and solid samples from the aquatic environment, a spectrum of sampling methods are available, each one with different advantages and drawbacks. This article evaluates the use of discrete sampling and time-integrated sampling in illustrating medium-term spatial and temporal variation. Discrete concentration index (CI) calculated as the ratio between dissolved and solid metal concentrations in grab samples are compared with time-integrated concentration index (CI) calculated from suspended particulate matter (SPM) collected in sediment traps and labile metals measured by the diffusive gel in thin films (DGT) method, collected once a month during one year at the Seine River, upstream and downstream of the Greater Paris Region. Discrete CI at Bougival was found to be significantly higher than at Triel for Co, Cu, Mn, Ni and Zn, while discrete metal partitioning at Marnay was found to be similar to Bougival and Triel. However, when using time-integrated CI, not only was Bougival CI significantly higher than Triel CI, CI at Marnay was also found to be significantly higher than CI at Triel which was not observed for discrete CI values. Since values are time-averaged, dramatic fluctuations were smoothed out and significant medium-term trends were enhanced. As a result, time-integrated concentration index (CI) was able to better illustrate urbanization impact between sites when compared to discrete CI. The impact of significant seasonal phenomenon such as winter flood, low flow and redox cycles was also, to a certain extent, visible in time-integrated CI values at the upstream site. The use of time-integrated concentration index may be useful for medium- to long-term metal studies in the aquatic environment.
authors.affiliation: CEA-CNRS-UVSQ/IPSL - LSCE, Gif-sur-Yvette 91190, France.
authors.forename: Cindy
authors.initials: C
authors.lastname: Priadi
authors.forename: Adeline
authors.initials: A
authors.lastname: Bourgeault
authors.forename: Sophie
authors.initials: S
authors.lastname: Ayrault
authors.forename: Catherine
authors.initials: C
authors.lastname: Gourlay-Francé
authors.forename: Marie-Hélène
authors.initials: MH
authors.lastname: Tusseau-Vuillemin
authors.forename: Philippe
authors.initials: P
authors.lastname: Bonté
authors.forename: Jean-Marie
authors.initials: JM
authors.lastname: Mouchel
mesh_terms: D004784:Environmental Monitoring / Q000379:methods*; D005602:France; D006812:Humic Substances / Q000032:analysis; D008670:Metals / Q000032:analysis*; D045483:Rivers / Q000737:chemistry*; D014865:Waste Disposal, Fluid; D014874:Water Pollutants, Chemical / Q000032:analysis*; D014877:Water Pollution, Chemical / Q000706:statistics & numerical data
chemical_list: D006812:Humic Substances; D008670:Metals; D014874:Water Pollutants, Chemical