Details zur Publikation

Kategorie Textpublikation
Referenztyp Buchkapitel
DOI 10.1007/978-981-15-5511-4_3
Titel (primär) Air quality modelling
Titel (sekundär) Urban air quality monitoring, modelling and human exposure assessment
Autor Shiva Nagendra, S.M.; Schlink, U. ORCID logo ; Khare, M.
Herausgeber Shiva Nagendra, S.M.; Schlink, U.; Müller, A.; Khare, M.
Quelle Springer Transactions in Civil and Environmental Engineering (STICEE)
Erscheinungsjahr 2021
Department SUSOZ
Seite von 35
Seite bis 57
Sprache englisch
Topic T5 Future Landscapes
UFZ Bestand Leipzig, Bibliothek, Hauptlesesaal, 00546591, 614.71 Urb 23-0179
Abstract

Mathematical models are used for all aspects of air quality management, i.e., from event forecasting to long-term planning. Several approaches have been widely used in modelling of urban air pollution. These modelling approaches include deterministic, statistical, hybrid of deterministic and artificial neural networks. This chapter provides brief introduction to air pollution meteorology, basic concepts involved in the development of air quality prediction models and source-receptor models for urban air quality management.

dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=23813
Shiva Nagendra, S.M., Schlink, U., Khare, M. (2021):
Air quality modelling
In: Shiva Nagendra, S.M., Schlink, U., Müller, A., Khare, M. (eds.)
Urban air quality monitoring, modelling and human exposure assessment
Springer Transactions in Civil and Environmental Engineering (STICEE)
Springer Singapore, Singapore, p. 35 - 57