Academic Journal

Quantification of Conceptual Model Uncertainty in the Modeling of Wet Deposited Atmospheric Pollutants

التفاصيل البيبلوغرافية
العنوان: Quantification of Conceptual Model Uncertainty in the Modeling of Wet Deposited Atmospheric Pollutants
المؤلفون: Urso, Laura, Sy, Mouhamadou Moustapha, Gonze, Marc-André, Hartmann, Philipp, Steiner, Martin
سنة النشر: 2021
المجموعة: OpenAgrar (Senat Bundesforschung, Bundesministeriums für Ernährung und Landwirtschaft)
مصطلحات موضوعية: article, Text, ddc:510, Bayesian modeling, Model structure, uncertainty
الوصف: Conceptual model uncertainty and parameter uncertainty are dominant contributors to the total uncertainty of a radioecological model output. In the present study the focus is on conceptual model uncertainty, which is often not acknowledged. Conceptual model uncertainty is assessed by subtracting from the total uncertainty of the model output the propagated parameter uncertainty, obtained by means of Bayesian inference analysis. The conceptual model uncertainty is quantified for two process-based models, which describe the interception of wet deposited pollutants under equilibrium and kinetic conditions, respectively. The natural variability due the chemical valence of the elements considered is accounted for in both models. Quantitative evidence has been obtained that the conceptual model uncertainty can contribute to the total uncertainty budget of the models for interception of wet deposited pollutants at least as much as, if not more than, parameter uncertainty.
نوع الوثيقة: article in journal/newspaper
اللغة: English
Relation: Risk Analysis -- Risk Analysis -- Risk Anal. -- Risk Anal. (USA) -- 1539-6924 -- 0272-4332 -- 2001458-2 -- 778660-8 -- https://onlinelibrary.wiley.com/journal/15396924 -- https://ezb.uni-regensburg.de/detail.phtml?&jour_id=3921; https://doi.org/10.1111/risa.13807; https://www.openagrar.de/receive/openagrar_mods_00074224; https://www.openagrar.de/servlets/MCRZipServlet/openagrar_derivate_00041732
DOI: 10.1111/risa.13807
الاتاحة: https://doi.org/10.1111/risa.13807
https://www.openagrar.de/receive/openagrar_mods_00074224
https://www.openagrar.de/servlets/MCRZipServlet/openagrar_derivate_00041732
Rights: https://creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.20033647
قاعدة البيانات: BASE