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Introduction of a new platform for parameter estimation of kinetically complex environmental systems
A modeling framework (ReKinSim - Reaction Kinetics Simulator) is introduced, within which biogeochemical reactions in environmental systems can be described and inversely fitted to experimental data. Three key features of this simulation environment are: (1) a generic mathematical tool for solving s...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5669308/ https://www.ncbi.nlm.nih.gov/pubmed/29200932 http://dx.doi.org/10.1016/j.envsoft.2017.09.005 |
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author | Gharasoo, Mehdi Thullner, Martin Elsner, Martin |
author_facet | Gharasoo, Mehdi Thullner, Martin Elsner, Martin |
author_sort | Gharasoo, Mehdi |
collection | PubMed |
description | A modeling framework (ReKinSim - Reaction Kinetics Simulator) is introduced, within which biogeochemical reactions in environmental systems can be described and inversely fitted to experimental data. Three key features of this simulation environment are: (1) a generic mathematical tool for solving sets of unlimited, arbitrary, non-linear ordinary differential equations; (2) no limitation to the number or type of reactions or other influential dynamics (e.g., isotope fractionation or small-scale mass-transfer limitations); (3) an easy to use and flexible module for nonlinear data-fitting. It allows users to easily define any kinetic model by a set of biogeochemical reactions relevant to the experimental application and to obtain the values of the kinetic parameters by fitting of the model to data. By allowing users to include the environmentally related processes and solving them along with the chemical kinetics, ReKinSim helps the user to elucidate the extent that these processes are controlled by factors other than kinetics. The novelty of the presented program primary lays in its unique combination of flexibility, computational efficiency and user-friendliness. ReKinSim's usability is showcased by four case studies of varying complexity, and compared against a set of currently available modeling tools. |
format | Online Article Text |
id | pubmed-5669308 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-56693082017-12-01 Introduction of a new platform for parameter estimation of kinetically complex environmental systems Gharasoo, Mehdi Thullner, Martin Elsner, Martin Environ Model Softw Article A modeling framework (ReKinSim - Reaction Kinetics Simulator) is introduced, within which biogeochemical reactions in environmental systems can be described and inversely fitted to experimental data. Three key features of this simulation environment are: (1) a generic mathematical tool for solving sets of unlimited, arbitrary, non-linear ordinary differential equations; (2) no limitation to the number or type of reactions or other influential dynamics (e.g., isotope fractionation or small-scale mass-transfer limitations); (3) an easy to use and flexible module for nonlinear data-fitting. It allows users to easily define any kinetic model by a set of biogeochemical reactions relevant to the experimental application and to obtain the values of the kinetic parameters by fitting of the model to data. By allowing users to include the environmentally related processes and solving them along with the chemical kinetics, ReKinSim helps the user to elucidate the extent that these processes are controlled by factors other than kinetics. The novelty of the presented program primary lays in its unique combination of flexibility, computational efficiency and user-friendliness. ReKinSim's usability is showcased by four case studies of varying complexity, and compared against a set of currently available modeling tools. Elsevier Science 2017-12 /pmc/articles/PMC5669308/ /pubmed/29200932 http://dx.doi.org/10.1016/j.envsoft.2017.09.005 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Gharasoo, Mehdi Thullner, Martin Elsner, Martin Introduction of a new platform for parameter estimation of kinetically complex environmental systems |
title | Introduction of a new platform for parameter estimation of kinetically complex environmental systems |
title_full | Introduction of a new platform for parameter estimation of kinetically complex environmental systems |
title_fullStr | Introduction of a new platform for parameter estimation of kinetically complex environmental systems |
title_full_unstemmed | Introduction of a new platform for parameter estimation of kinetically complex environmental systems |
title_short | Introduction of a new platform for parameter estimation of kinetically complex environmental systems |
title_sort | introduction of a new platform for parameter estimation of kinetically complex environmental systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5669308/ https://www.ncbi.nlm.nih.gov/pubmed/29200932 http://dx.doi.org/10.1016/j.envsoft.2017.09.005 |
work_keys_str_mv | AT gharasoomehdi introductionofanewplatformforparameterestimationofkineticallycomplexenvironmentalsystems AT thullnermartin introductionofanewplatformforparameterestimationofkineticallycomplexenvironmentalsystems AT elsnermartin introductionofanewplatformforparameterestimationofkineticallycomplexenvironmentalsystems |