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dc.contributor.authorSalis, Matteo
dc.contributor.authorZucchi, Andrea
dc.contributor.authorFUSTA MORO, ALESSANDRO
dc.contributor.authorCameletti, Michela
dc.contributor.authorGOLINI, Natalia
dc.contributor.authorIgnaccolo, Rosaria
dc.date.accessioned2023-08-03T15:06:34Z
dc.date.available2023-08-03T15:06:34Z
dc.date.issued2023
dc.identifierONIX_20230803_9791221501063_108
dc.identifier.issn2704-5846
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/74912
dc.description.abstractLombardy is one of the most polluted regions at the European level, also due to its particular geographical structure and weather conditions which prevent the pollutants’ dispersion, and the high levels of emissions coming from human activities. Recently, some evidence has been found regarding the relationship between agriculture and air quality, particularly between ammonia - produced mainly by the livestock sector - and particulate matter concentrations. In this respect, Lombardy is the first Italian region for agriculture production, having 69% of its area classified as agricultural land and about 245 swine and 92 bovines per rural km2. In the Agriculture Impact On Italian Air project (AgrImOnIA, https://agrimonia.net, funded by Fondazione Cariplo within the framework of Data Science for science and society), we aim to predict continuously in space (i.e. mapping) air pollutants concentrations in Lombardy region, taking into account meteorology, land use and emissions coming from agriculture. In this regard, data integration and harmonization process have been carried out starting from data from different sources and characterized by different spatial and temporal resolutions. The first results are based on spatio-temporal Kriging models, with external drift, and an extension of the traditional random forest algorithm to consider the spatial and temporal correlation. These models will be used to generate scenario analysis which simulates the impact of policy interventions in the agricultural sector to mitigate its environmental impact on air quality.
dc.languageEnglish
dc.relation.ispartofseriesProceedings e report
dc.subject.classificationthema EDItEUR::J Society and Social Sciencesen_US
dc.subject.otherSpatio-temporal Kriging
dc.subject.otherRandom Forest
dc.subject.otherPredictive modeling
dc.subject.otherAir quality
dc.subject.otherAgriculture emissions
dc.titleChapter Ammonia emissions and fine particulate matter: some evidence in Lombardy
dc.typechapter
oapen.identifier.doi10.36253/979-12-215-0106-3.40
oapen.relation.isPublishedBy9223d3ac-6fd2-44c9-bb99-5b98ca9d2fad
oapen.relation.isPartOfBook863aa499-dbee-4191-9a14-3b5d5ef9e635
oapen.relation.isbn9791221501063
oapen.series.number134
oapen.pages6
oapen.place.publicationFlorence


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