Open Net Zero logo
Data for: Tracking the legacy of early industrial activity in sediments of Lake Zurich, Switzerland: Using a novel multi-proxy approach to find the source of extensive metal contamination
L o a d i n g
Organization
Swiss Federal Institute of Aquatic Science and Technology (Eawag) - view all
Update frequencyunknown
Last updated3 weeks ago
Format
Overview

Historical industrial activities at the Horn Richterwil, on the shore of Lake Zurich (Switzerland), caused widespread metal pollution on land and in the adjacent lake sediments. This study provides an estimation of the age and source of the contamination by using XRF core scanning, ICP-OES, and Hg-AFS for quantitative measurements of trace metals and MC-ICP-MS for the stable isotope analysis of mercury. Radiometric dating (137Cs, 210Pb, and Pu dating) of two proximal cores and varve chronology in a distal core suggest two different contaminations, one stemming from around 1960 (Zn, Cd) and an earlier one from 1880 (Cr, Cu, Hg, Pb, Sn). The XRF data suggest two different contamination pathways: One by landfill of contaminated soil and another one by industrial wastewater effluents. Maximum concentrations found within all samples are in the range of per mil (dry weight) for Cr, Cu, Hg, Pb, Sn, and Zn and lie within the top 10 cm of the sediment cores. The analysis of the mercury isotopic composition (δ202 Hg and Δ199 Hg) shows a significantly different signature for one of the cores, indicating a second mercury source. We could not conclude the exact source or process leading to the isotopic fractionation of mercury, but the isotopic data confirm two different sources.

heavy metalsindustrial pollutionlake sedimentlake zurichmercurymulti-proxy approachradiodatingstable mercury isotopesswitzerlandtoxic metals
Additional Information
KeyValue
Harvest Object Id6b4e55e1-83c9-40f1-844b-b24bc4c9e3a1
Harvest Source Idd0230d8d-fb2c-4caf-94e8-8ad52bd38ad9
Harvest Source TitleThe Eawag Research Data Institutional Repository
Share this Dataset
Trust Signals
Trust Framework(s)None
Assuranceunknown
Data Sensitivity Classunknown
Licenceunknown
Files