129615 20240104102231.0 doi 10.1039/c9em00500e sideral 117327 ART-2020-117327 eng Gordillo, Geovanny Universidad de Zaragoza A gradient-descent adjoint method for the reconstruction of boundary conditions in a river flow nitrification model 2020 One of the reasons for the limited applicability of predictive water quality models is the lack of data from monitoring control stations that are required as input. In this context, the main novelty of the present work is the recovery of information on the state variables present in a water quality model through measured data at a target downstream location. The reconstruction of the upstream boundary condition is the goal of the present work. For this purpose, an adjoint-state method is developed to find the sensitivities of the functional with respect to variations on the upstream boundary conditions of the model. The resolution of both forward and backward problems ensures strong, accurate and reliable solutions in both steady state and unsteady scenarios. The different cases demonstrate that the method is able to reconstruct any observed distribution with little computational effort, including the heat balance with all its external inputs. Access copy available to the general public Unrestricted info:eu-repo/grantAgreement/ES/MICINN-FEDER/PGC2018-094341-B-I00 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 4.238 2020 CHEMISTRY, ANALYTICAL 21 / 83 = 0.253 2020 Q2 T1 ENVIRONMENTAL SCIENCES 90 / 273 = 0.33 2020 Q2 T1 1.127 2020 Environmental Chemistry 2020 Q1 Public Health, Environmental and Occupational Health 2020 Q1 Medicine (miscellaneous) 2020 Q1 Management, Monitoring, Policy and Law 2020 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Morales-Hernández, Mario Universidad de Zaragoza (orcid)0000-0001-6961-7250 Garciá-Navarro, Pilar Universidad de Zaragoza (orcid)0000-0001-8674-1042 5001 600 Universidad de Zaragoza Dpto. Ciencia Tecnol.Mater.Fl. Área Mecánica de Fluidos 22, 2 (2020), 381-397 Environ. sci., Process. impacts Environmental science. Processes & impacts 2050-7887 12339760 http://zaguan.unizar.es/record/129615/files/texto_completo.pdf Postprint 2638441 http://zaguan.unizar.es/record/129615/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:129615 articulos driver 2024-01-04-09:05:33 ARTICLE