Long-term observation of the end-of- treatment sludge quality from a Parisian WWTP treating wastewater from 6.5 M inhabitants

Wastewater contains a wide range of biological and chemical markers related to human activity. The collection and analysis of these markers in the effluents (wastewater and sludge) allow to qualify the public health of the population and to evaluate the impact of the chemicals used in daily life on the environment.In line with these studies, the Innovation Department of SIAAP and its scientific partners (ISA and LEESU) have created an Observatory of the city with the objectives of:• Monitoring the long-term dynamics of known and/or potential pollutants according to French regulations.• Contributing to studies aimed at a better understanding of anthropogenic activities.• Structuring and centralizing data (wastewater and end-of-treatment sludge), ensuring their storage for 10 years.• Providing technical and scientific knowledge by publishing every two years the data generated by the Observatory of the city via the open platform Zenodo. Dataset description The dataset “Dataset _CakesSAV.xlsx” includes the monthly analysis of 42 micropollutants (trace metals, PAHs, PCBs, ammonium, calcium oxide, magnesium oxide and elementary analysis) of the end-of-treatment sludge (called “cakes”) of SAV. The oldest analyses date back to 1980.The quality of the sludge is commonly characterized by dry matter (DM, in % - 1% = 10 g/L) and volatile matter (VM, in % DM). The mean value for DM is 47.09 ± 2.52% (n = 42) from monthly measurements from 2021 to 2024 and VM is 39.35 ± 1.74 (n=42) from monthly measurements between 2021 and 2024. Physico-chemical analysis of several micropollutants is carried out once a month. An average representative sample from the dehydration process outlet is constituted using samples from each day of the week of the analysis. Details on each analytical method and the associated regulations are provided in the “Dataset_analyticalmethods_CakesSAV.xlsx” The following files are available:• Dataset _CakesSAV.xlsx• Dataset_analyticalmethods_CakesSAV.xlsx