التفاصيل البيبلوغرافية
| العنوان: |
Identification of an Unknown Stationary Emission Source in Urban Geometry Using Bayesian Inference |
| المؤلفون: |
Panagiotis Gkirmpas, George Tsegas, Giannis Ioannidis, Christos Vlachokostas, Nicolas Moussiopoulos |
| المصدر: |
Atmosphere, Vol 15, Iss 8, p 871 (2024) |
| بيانات النشر: |
MDPI AG, 2024. |
| سنة النشر: |
2024 |
| المجموعة: |
LCC:Meteorology. Climatology |
| مصطلحات موضوعية: |
source term estimation, Bayesian inference, computational fluid dynamics, adjoint equations, hazardous material release, pollutant dispersion, Meteorology. Climatology, QC851-999 |
| الوصف: |
Estimating the parameters of an unidentified toxic pollutant source is crucial for public safety, especially in densely populated urban areas. Implementing source term estimation methods in real-world urban environments is challenging due to complex phenomena and the absence of concentration observational data. This work combines a computational fluid dynamics numerical simulation with the Metropolis–Hastings MCMC algorithm to identify the location and quantify the release rate of an unknown source within the geometry of Augsburg city center. To address the lack of concentration measurements, synthetic observations are generated by a forward dispersion model. The methodology is tested using these datasets, both as directly calculated by the forward model and with added Gaussian noise under different source release and wind flow scenarios. The results indicate that in most cases, both the source location and the release rate are estimated accurately. Although a higher performance is achieved using synthetic datasets without additional noise, high accuracy predictions are also obtained in many applications of noisy measurement datasets. In general, the outcomes demonstrate that the presented methodology can be a useful tool for estimating unknown source parameters in real-world urban applications. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2073-4433 |
| Relation: |
https://www.mdpi.com/2073-4433/15/8/871; https://doaj.org/toc/2073-4433 |
| DOI: |
10.3390/atmos15080871 |
| URL الوصول: |
https://doaj.org/article/38502a1ebaca4dd3b5ebc26e5caadf3a |
| رقم الانضمام: |
edsdoj.38502a1ebaca4dd3b5ebc26e5caadf3a |
| قاعدة البيانات: |
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