Publication Details

Category Text Publication
Reference Category Book chapters
DOI 10.1007/978-981-15-5511-4_3
Title (Primary) Air quality modelling
Title (Secondary) Urban air quality monitoring, modelling and human exposure assessment
Author Shiva Nagendra, S.M.; Schlink, U. ORCID logo ; Khare, M.
Publisher Shiva Nagendra, S.M.; Schlink, U.; Müller, A.; Khare, M.
Source Titel Springer Transactions in Civil and Environmental Engineering (STICEE)
Year 2021
Department SUSOZ
Page From 35
Page To 57
Language englisch
Topic T5 Future Landscapes
UFZ inventory 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.

Persistent UFZ Identifier 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 10.1007/978-981-15-5511-4_3