The paper analyses the way numerical data on sewage sludge quantities are recorded, processed and then reported at EU level. The analysed data are the same used by policy makers as official sources. The paper shows the difficulties found during the comparison of EU member states management systems, starting from lack of homogeneity and the fragmentation of the data. Reliable data about sewage sludge production and disposal are indispensable to make a critical analysis and also to realise adjustments and changes to the existing management models as well as in the implementation of European policies, such as the Sewage Sludge Directive or the Urban Wastewater Treatment Directive. Moreover, starting from a critical analysis of EU data, the paper shows how sewage sludge management is dealt by EU countries. Finally, the paper suggests to policy makers some implementation for the data management system in order to reach a higher data reliability.

Sewage sludge management in Europe: a critical analysis of data quality

BIANCHINI, AUGUSTO;BONFIGLIOLI, LUCA;PELLEGRINI, MARCO;SACCANI, CESARE
2016

Abstract

The paper analyses the way numerical data on sewage sludge quantities are recorded, processed and then reported at EU level. The analysed data are the same used by policy makers as official sources. The paper shows the difficulties found during the comparison of EU member states management systems, starting from lack of homogeneity and the fragmentation of the data. Reliable data about sewage sludge production and disposal are indispensable to make a critical analysis and also to realise adjustments and changes to the existing management models as well as in the implementation of European policies, such as the Sewage Sludge Directive or the Urban Wastewater Treatment Directive. Moreover, starting from a critical analysis of EU data, the paper shows how sewage sludge management is dealt by EU countries. Finally, the paper suggests to policy makers some implementation for the data management system in order to reach a higher data reliability.
2016
Bianchini, A.; Bonfiglioli, L.; Pellegrini, M.; Saccani, C.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/570984
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