000129615 001__ 129615
000129615 005__ 20240104102231.0
000129615 0247_ $$2doi$$a10.1039/c9em00500e
000129615 0248_ $$2sideral$$a117327
000129615 037__ $$aART-2020-117327
000129615 041__ $$aeng
000129615 100__ $$aGordillo, Geovanny$$uUniversidad de Zaragoza
000129615 245__ $$aA gradient-descent adjoint method for the reconstruction of boundary conditions in a river flow nitrification model
000129615 260__ $$c2020
000129615 5060_ $$aAccess copy available to the general public$$fUnrestricted
000129615 5203_ $$aOne of the reasons for the limited applicability of predictive water quality models is the lack of data from monitoring control stations that are required as input. In this context, the main novelty of the present work is the recovery of information on the state variables present in a water quality model through measured data at a target downstream location. The reconstruction of the upstream boundary condition is the goal of the present work. For this purpose, an adjoint-state method is developed to find the sensitivities of the functional with respect to variations on the upstream boundary conditions of the model. The resolution of both forward and backward problems ensures strong, accurate and reliable solutions in both steady state and unsteady scenarios. The different cases demonstrate that the method is able to reconstruct any observed distribution with little computational effort, including the heat balance with all its external inputs.
000129615 536__ $$9info:eu-repo/grantAgreement/ES/MICINN-FEDER/PGC2018-094341-B-I00
000129615 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000129615 590__ $$a4.238$$b2020
000129615 591__ $$aCHEMISTRY, ANALYTICAL$$b21 / 83 = 0.253$$c2020$$dQ2$$eT1
000129615 591__ $$aENVIRONMENTAL SCIENCES$$b90 / 273 = 0.33$$c2020$$dQ2$$eT1
000129615 592__ $$a1.127$$b2020
000129615 593__ $$aEnvironmental Chemistry$$c2020$$dQ1
000129615 593__ $$aPublic Health, Environmental and Occupational Health$$c2020$$dQ1
000129615 593__ $$aMedicine (miscellaneous)$$c2020$$dQ1
000129615 593__ $$aManagement, Monitoring, Policy and Law$$c2020$$dQ1
000129615 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000129615 700__ $$0(orcid)0000-0001-6961-7250$$aMorales-Hernández, Mario$$uUniversidad de Zaragoza
000129615 700__ $$0(orcid)0000-0001-8674-1042$$aGarciá-Navarro, Pilar$$uUniversidad de Zaragoza
000129615 7102_ $$15001$$2600$$aUniversidad de Zaragoza$$bDpto. Ciencia Tecnol.Mater.Fl.$$cÁrea Mecánica de Fluidos
000129615 773__ $$g22, 2 (2020), 381-397$$pEnviron. sci., Process. impacts$$tEnvironmental science. Processes & impacts$$x2050-7887
000129615 8564_ $$s12339760$$uhttps://zaguan.unizar.es/record/129615/files/texto_completo.pdf$$yPostprint
000129615 8564_ $$s2638441$$uhttps://zaguan.unizar.es/record/129615/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000129615 909CO $$ooai:zaguan.unizar.es:129615$$particulos$$pdriver
000129615 951__ $$a2024-01-04-09:05:33
000129615 980__ $$aARTICLE