Advanced quantitative analysis of nitrogen oxides and ozone: Integrating model reduction techniques with Deviation-Closeness Analysis
The Deviation Closeness Analysis (DCA) quantifies the disparities between approximated and the invariant curves, using advanced Model Reduction Techniques (MRTs). The MRTs, Spectral Quasi Equilibrium Manifold (SQEM) and Intrinsic Low Dimensional Manifold (ILDM) are focusing on assessing the closenes...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Ain Shams Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447924005197 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849220150296838144 |
|---|---|
| author | Muhammad Yaseen Faisal Sultan Muhammad Sohail Yasser Elmasry |
| author_facet | Muhammad Yaseen Faisal Sultan Muhammad Sohail Yasser Elmasry |
| author_sort | Muhammad Yaseen |
| collection | DOAJ |
| description | The Deviation Closeness Analysis (DCA) quantifies the disparities between approximated and the invariant curves, using advanced Model Reduction Techniques (MRTs). The MRTs, Spectral Quasi Equilibrium Manifold (SQEM) and Intrinsic Low Dimensional Manifold (ILDM) are focusing on assessing the closeness between model predictions and actual data points applied to Nitrogen Oxides (NOx) and Ozone (O3) simulation in the atmosphere, crucial for air quality regulation and smog formation. The novel contribution in this article is to perform the comparative analysis between the reduced model predictions and actual data points through DCA for NOx and O3 within complex reaction mechanisms impacting the ozone layer. Further, Local sensitivity analysis identifies influence of species and parameters in given chemical model. Findings indicate achievable invariant regions and influential parameters for NOx and O3, presented through simulations and tabular comparisons. |
| format | Article |
| id | doaj-art-5a5f347c0d344f0291f64fe64bd237d8 |
| institution | Kabale University |
| issn | 2090-4479 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj-art-5a5f347c0d344f0291f64fe64bd237d82024-12-18T08:48:30ZengElsevierAin Shams Engineering Journal2090-44792024-12-011512103138Advanced quantitative analysis of nitrogen oxides and ozone: Integrating model reduction techniques with Deviation-Closeness AnalysisMuhammad Yaseen0Faisal Sultan1Muhammad Sohail2Yasser Elmasry3Institute of Mathematics, Khwaja Fareed University of Engineering and Information Technology, PakistanInstitute of Mathematics, Khwaja Fareed University of Engineering and Information Technology, Pakistan; Corresponding author.Institute of Mathematics, Khwaja Fareed University of Engineering and Information Technology, Pakistan; Composite Materials Scientific Research Center of Azerbaijan State University of Economics (UNEC), 194 Murtaza Mukhtarov Street, Baku AZ1065, AzerbaijanDepartment of Mathematics, College of Science, King Khalid University, P.O. Box 9004, Abha 61466, Saudi ArabiaThe Deviation Closeness Analysis (DCA) quantifies the disparities between approximated and the invariant curves, using advanced Model Reduction Techniques (MRTs). The MRTs, Spectral Quasi Equilibrium Manifold (SQEM) and Intrinsic Low Dimensional Manifold (ILDM) are focusing on assessing the closeness between model predictions and actual data points applied to Nitrogen Oxides (NOx) and Ozone (O3) simulation in the atmosphere, crucial for air quality regulation and smog formation. The novel contribution in this article is to perform the comparative analysis between the reduced model predictions and actual data points through DCA for NOx and O3 within complex reaction mechanisms impacting the ozone layer. Further, Local sensitivity analysis identifies influence of species and parameters in given chemical model. Findings indicate achievable invariant regions and influential parameters for NOx and O3, presented through simulations and tabular comparisons.http://www.sciencedirect.com/science/article/pii/S2090447924005197Chemical kineticModel reduction techniquesSlow invariant manifoldSensitivity analysisDeviation-Closeness Analysis |
| spellingShingle | Muhammad Yaseen Faisal Sultan Muhammad Sohail Yasser Elmasry Advanced quantitative analysis of nitrogen oxides and ozone: Integrating model reduction techniques with Deviation-Closeness Analysis Ain Shams Engineering Journal Chemical kinetic Model reduction techniques Slow invariant manifold Sensitivity analysis Deviation-Closeness Analysis |
| title | Advanced quantitative analysis of nitrogen oxides and ozone: Integrating model reduction techniques with Deviation-Closeness Analysis |
| title_full | Advanced quantitative analysis of nitrogen oxides and ozone: Integrating model reduction techniques with Deviation-Closeness Analysis |
| title_fullStr | Advanced quantitative analysis of nitrogen oxides and ozone: Integrating model reduction techniques with Deviation-Closeness Analysis |
| title_full_unstemmed | Advanced quantitative analysis of nitrogen oxides and ozone: Integrating model reduction techniques with Deviation-Closeness Analysis |
| title_short | Advanced quantitative analysis of nitrogen oxides and ozone: Integrating model reduction techniques with Deviation-Closeness Analysis |
| title_sort | advanced quantitative analysis of nitrogen oxides and ozone integrating model reduction techniques with deviation closeness analysis |
| topic | Chemical kinetic Model reduction techniques Slow invariant manifold Sensitivity analysis Deviation-Closeness Analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2090447924005197 |
| work_keys_str_mv | AT muhammadyaseen advancedquantitativeanalysisofnitrogenoxidesandozoneintegratingmodelreductiontechniqueswithdeviationclosenessanalysis AT faisalsultan advancedquantitativeanalysisofnitrogenoxidesandozoneintegratingmodelreductiontechniqueswithdeviationclosenessanalysis AT muhammadsohail advancedquantitativeanalysisofnitrogenoxidesandozoneintegratingmodelreductiontechniqueswithdeviationclosenessanalysis AT yasserelmasry advancedquantitativeanalysisofnitrogenoxidesandozoneintegratingmodelreductiontechniqueswithdeviationclosenessanalysis |