Dataset on ten-years monitoring of MSWI bottom ashes in six MSWI plants in the Canton of Zurich, Switzerland.
Ontology highlight
ABSTRACT: The dataset presented in this article is the supplementary data for the research article "Ten-years monitoring of MSWI bottom ashes with focus on TOC development and leaching behaviour" (https://doi.org/10.1016/j.wasman.2020.07.038) by Glauser et al. (2020) [1]. From 2008-2018 bottom ashes have been monitored in six MSWI plants in the Canton of Zürich with regular sampling campaigns and analysis of important species defined in the Swiss Waste Legislation [2]. Both the size of the dataset and the long period of consistent and representative monitoring are unique for Switzerland. Relevant aspects of the monitoring data are discussed and interpreted in the above mentioned research article and complemented by simple emission forecast modelling. While only selected species were discussed in the research article, this data article covers all the monitoring data. The focus of the monitoring was laid on carbon-species with the analysis of total carbon (TC), total organic carbon (TOC), total inorganic carbon (TIC), degradable organic carbon (OC) and elemental carbon (EC). Total contents of nitrogen (N), sulphur (S), phosphorus (P), selected heavy metals (As, Cd, Cr, Cu, Ni, Pb, Sb and Zn) and loss on ignition (LOI) complete the solid chemical analysis. In addition, particulate ferrous (Fe) and non-ferrous (NF) metals and unburnt material were determined manually. Batch eluate tests according to Swiss Waste Legislation [3] were performed and analysed for dissolved organic carbon (DOC), ammonium (NH4 +), nitrite (NO2 -), fluoride (F-), sulphite (SO3 2-), sulphide (S2 -), chromate Cr(IV) and the heavy metals Cu (aq) and Zn (aq) and Cr(IV). In addition, data on the biochemical oxygen demand (BOD) and the physical parameters pH and electrical conductivity complete the eluate analysis.
SUBMITTER: Glauser A
PROVIDER: S-EPMC7494456 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
ACCESS DATA