Abstract
Air quality is a major concern in highly urbanised and industrialised regions, as well as rural areas. Air pollutant concentrations often exhibit significant spatial and temporal variability, depending on local sources, climate conditions and the characteristics of the built and natural environment. The strong relationship between emissions and human activities is well known: residential functions, infrastructure systems and industrial plants are the main emission sources of different pollutants, especially for PM2.5. Agriculture also produces pollutants. By contrast, forests usually act as adsorption sinks, reducing the pollution concentration. Therefore, pollutant emissions and concentration patterns present significant spatial variability due to different land uses. Moreover, the correlation between urban and territorial functions and pollution varies, sometimes by a significant amount, with different regions and scales leaving a significant gap for urban planning. The presented research aims at describing the potential correlation between different land uses and the emissions and concentrations of air pollutants, as a starting point for more in-depth studies in relation to urban and territorial transformations, the sustainable renewal of dismissed areas and the revitalisation of rural areas. By considering a territorial scale for the analysis (Pavia Province in northern Italy), we intend to underline the links (linear, direct, indirect) between land uses (residential, agricultural, and industrial) and the main air pollutants (CO2eq), as well as the degree of intensity.
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De Lotto, R., Moretti, M., Venco, E.M., Bellati, R., Monastra, M. (2022). Lack of Correlation Between Land Use and Pollutant Emissions: The Case of Pavia Province. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Garau, C. (eds) Computational Science and Its Applications – ICCSA 2022 Workshops. ICCSA 2022. Lecture Notes in Computer Science, vol 13382. Springer, Cham. https://doi.org/10.1007/978-3-031-10592-0_10
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