AI Article Synopsis
- ENFUSER is an operational urban air quality modeling system that integrates various dispersion modeling methods and utilizes data from global open-access sources for accurate pollution assessments.
- It combines geographic datasets for worldwide applicability, employing Gaussian puff and plume modeling for urban dispersion while also addressing long-range pollutant transport with a regional model.
- The system features a data assimilation technique that adjusts emission factors and background values in real-time, enhancing accuracy even in urban areas with limited emissions inventory data.
Article Abstract
An operational urban air quality modelling system ENFUSER is presented with an evaluation against measured data. ENFUSER combines several dispersion modelling approaches, uses data assimilation, and continuously extracts information from online, global open-access sources. The modelling area is described with a combination of geographic datasets. These GIS datasets are globally available with open access, and therefore the model can be applied worldwide. Urban scale dispersion is addressed with a combination of Gaussian puff and Gaussian plume modelling, and long-range transport of pollutants is accounted for via a separate regional model. The presented data assimilation method, which supports the use of AQ sensors and incorporates a longer-term learning mechanism, adjusts emission factors and the regional background values on an hourly basis. The model can be used with reasonable accuracy also in urban areas, for which detailed emissions inventories would not be available, due to the data assimilation capabilities.
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Source |
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485198 | PMC |
| http://dx.doi.org/10.1016/j.envsoft.2022.105460 | DOI Listing |
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