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.; Khare, M. |
Publisher | Shiva Nagendra, S.M.; Schlink, U.; Müller, A.; Khare, M. |
Journal | Springer Transactions in Civil and Environmental Engineering (STICEE) |
Year | 2021 |
Department | SUSOZ |
Page From | 35 |
Page To | 57 |
Language | englisch |
Topic | T5 Future Landscapes |
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 |