Air Quality Characterisation and Modelling

ISBN 10: 3036578218 / ISBN 13: 9783036578217

Published by MDPI AG, 2023

About this Item

Air Quality Characterisation and Modelling | Buch | Englisch | 2023 | MDPI AG | EAN 9783036578217 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 127016184

Bibliographic Details

• Title: Air Quality Characterisation and Modelling
• Publisher: MDPI AG
• Publication Date: 2023
• Language: English
• ISBN 10: 3036578218
• ISBN 13: 9783036578217
• Binding: Buch
• Condition: Neu
• Dimensions: 250W x 175H x 24D millimeters 250 millimeters width by 175 millimeters height by 24 millimeters depth
• Weight: 940 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Air pollution is a mixture of particles and gases, which can reach unsafe concentrations for human health, the environment, vegetation, and materials. It has become one of the main sustainability issues and a concerning topic in atmospheric science. According to the World Health Organization (WHO), 90% of the world's population lives in highly polluted environments, and about 7 million premature deaths are caused yearly by outdoor and indoor air pollution. The combination of fast-growing populations, transport, fossil fuels, and biomass burning leads to pollution levels being especially high in some urban areas. Agriculture and natural phenomena are also important sources of pollution, underscoring the multi-faceted and transboundary nature of air pollution. The monitoring and understanding of the temporal and spatial behaviours of air pollutant concentrations are essential for both the implementation of air quality policies and the definition of effective measures to mitigate air pollution and its effects. Quantifying and monitoring exposure to air pollution in terms of public health is also a critical component in policy discussion. This reprint presents recent research activities concerning the characterization of air pollution and the applied modelling approaches.