Details zur Publikation |
| Kategorie | Datenpublikation |
| DOI | 10.5281/zenodo.20542647 |
| Titel (primär) | Hyperlocal urban NO2 hotspot modeling driven by microscopic traffic data [Dataset] |
| Autor | Weger, M.; Trabert, T.; Houben, T.; Sohr, A.; Brockfeld, E.; Knoth, O.; Schrödner, R.; Bumberger, J.
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| Quelle | Zenodo |
| Erscheinungsjahr | 2026 |
| Department | MET |
| Sprache | englisch |
| Topic | T5 Future Landscapes |
| Abstract | Road-traffic NO2 hotspots are still often modelled with static emissions and generic temporal profiles, although near-road concentrations respond strongly to rapidly changing traffic conditions. Here, we test whether detector-informed dynamic traffic emissions improve hyperlocal NO2 modelling relative to a conventional static baseline. To this end, we couple an online-calibrated mesoscopic traffic model (SUMO) with the LES-based urban dispersion model CAIRDIO in a nested high-resolution framework for Leipzig, Germany. We compare two otherwise identical experimental setups: a static reference simulation and a coupled simulation in which road-traffic emissions within the SUMO domain are replaced by dynamic emissions derived from simulated traffic states. The framework is designed for city-wide high-resolution application, while the present evaluation focuses on two traffic-oriented hotspot settings across three 1-week periods. Compared against hourly NO2 observations of official air-quality monitoring, the coupled setup performs better overall, with the clearest improvement at the street-canyon hotspot and in the representation of concentration peaks. Dynamic traffic emissions, therefore, provide clear added value for hyperlocal NO2 prediction where hotspot realism and exposure-relevant peaks matter. |
| Verknüpfte UFZ-Textpublikationen | |
| Weger, M., Trabert, T., Houben, T., Sohr, A., Brockfeld, E., Knoth, O., Schrödner, R., Bumberger, J. (2026): Hyperlocal urban NO2 hotspot modeling driven by microscopic traffic data [Dataset] Zenodo 10.5281/zenodo.20542647 |
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