CORDIS OpenAire Sygma Archivio della ricerca - Università degli studi di Napoli Federico II UnpayWall FEDOA - IRIS Università degli Studi Napoli Federico II Open Access Repository Crossref Microsoft Academic Graph Europe PubMed Central European Union Open Data Portal https://www.iris.unina.it/bitstream/11588/724909/2/2018%20-%20Kostrytsia%20et%20al.%20-%20Water%20Science%20%26%20Technology%20-%20Sensitivity%20analysis%20for%20S0-based%20denitrification%20model.pdf http://iwaponline.com/wst/article-pdf/78/6/1296/504647/wst078061296.pdf https://doi.org/10.2166/wst.2018.398 Water Science and Technology Open Access 2018-10-04 2018-11-23 Abstract <p>A local sensitivity analysis was performed for a chemically synthesized elemental sulfur (S0)-based two-step denitrification model, accounting for nitrite (NO2￢ﾈﾒ) accumulation, biomass growth and S0 hydrolysis. The sensitivity analysis was aimed at verifying the model stability, understanding the model structure and individuating the model parameters to be further optimized. The mass specific area of the sulfur particles (a*) and hydrolysis kinetic constant (k1) were identified as the dominant parameters on the model outputs, i.e. nitrate (NO3￢ﾈﾒ), NO2￢ﾈﾒ and sulfate (SO42￢ﾈﾒ) concentrations, confirming that the microbially catalyzed S0 hydrolysis is the rate-limiting step during S0-driven denitrification. Additionally, the maximum growth rates of the denitrifying biomass on NO3￢ﾈﾒ and NO2￢ﾈﾒ were detected as the most sensitive kinetic parameters.</p> Elemental sulfur Environmental Engineering 0207 environmental engineering Biological surface-based hydrolysis; Elemental sulfur; Mathematical modeling; Sensitivity analysis; Two-step autotrophic denitrification; Environmental Engineering; Water Science and Technology 02 engineering and technology 01 natural sciences Two-step autotrophic denitrification Bioreactors European Joint Doctorates European Commission Knowmad Institut Biological surface-based hydrolysis Nitrites Netherlands Water Science and Technology 0105 earth and related environmental sciences Aurora Universities Network EC Nitrates H2020 Energy Research 13. Climate action Denitrification Mathematical modeling Sensitivity analysis Sulfur Kostrytsia, A., Papirio, S., Mattei, M. R., Frunzo, L., Lens, P. N. L., Esposito, G., 2018-09-20 journalpaper Abstract <p>A local sensitivity analysis was performed for a chemically synthesized elemental sulfur (S0)-based two-step denitrification model, accounting for nitrite (NO2￢ﾈﾒ) accumulation, biomass growth and S0 hydrolysis. The sensitivity analysis was aimed at verifying the model stability, understanding the model structure and individuating the model parameters to be further optimized. The mass specific area of the sulfur particles (a*) and hydrolysis kinetic constant (k1) were identified as the dominant parameters on the model outputs, i.e. nitrate (NO3￢ﾈﾒ), NO2￢ﾈﾒ and sulfate (SO42￢ﾈﾒ) concentrations, confirming that the microbially catalyzed S0 hydrolysis is the rate-limiting step during S0-driven denitrification. Additionally, the maximum growth rates of the denitrifying biomass on NO3￢ﾈﾒ and NO2￢ﾈﾒ were detected as the most sensitive kinetic parameters.</p> Sensitivity analysis for an elemental sulfur-based two-step denitrification model 10.2166/wst.2018.398