Chapter Ammonia emissions and fine particulate matter: some evidence in Lombardy
Lombardy 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 r...
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| প্রধান লেখক: | , , , , , |
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| বিন্যাস: | Online |
| ভাষা: | ইংরেজি |
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Firenze University Press, Genova University Press
2023
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | ONIX_20230803_9791221501063_108 |
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| _version_ | 1869518369379581952 |
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| author | Salis, Matteo Zucchi, Andrea FUSTA MORO, ALESSANDRO Cameletti, Michela GOLINI, Natalia Ignaccolo, Rosaria |
| author_browse | Cameletti, Michela FUSTA MORO, ALESSANDRO GOLINI, Natalia Ignaccolo, Rosaria Salis, Matteo Zucchi, Andrea |
| author_facet | Salis, Matteo Zucchi, Andrea FUSTA MORO, ALESSANDRO Cameletti, Michela GOLINI, Natalia Ignaccolo, Rosaria |
| author_sort | Salis, Matteo |
| collection | Directory of Open Access Books |
| description | Lombardy 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. |
| format | Online |
| id | doab-20.500.12854ir-112078 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Firenze University Press, Genova University Press |
| publisherStr | Firenze University Press, Genova University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1120782025-07-17T10:01:34Z Chapter Ammonia emissions and fine particulate matter: some evidence in Lombardy Salis, Matteo Zucchi, Andrea FUSTA MORO, ALESSANDRO Cameletti, Michela GOLINI, Natalia Ignaccolo, Rosaria Spatio-temporal Kriging Random Forest Predictive modeling Air quality Agriculture emissions thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences Lombardy 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. 2023-08-08T05:05:29Z 2023-08-08T05:05:29Z 2023-08-03T15:06:34Z 2023 chapter ONIX_20230803_9791221501063_108 2704-5846 https://library.oapen.org/handle/20.500.12657/74912 9791221501063 https://directory.doabooks.org/handle/20.500.12854/112078 eng Proceedings e report open access image/png image/jpeg Attribution 4.0 International Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/74912/1/9791221501063-40.pdf https://library.oapen.org/bitstream/20.500.12657/74912/1/9791221501063-40.pdf Firenze University Press, Genova University Press 10.36253/979-12-215-0106-3.40 10.36253/979-12-215-0106-3.40 74113d79-2268-4658-88bb-6e8757c543b0 ASA 2022 Data-Driven Decision Making 9791221501063 6 Florence open access |
| spellingShingle | Spatio-temporal Kriging Random Forest Predictive modeling Air quality Agriculture emissions thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences Salis, Matteo Zucchi, Andrea FUSTA MORO, ALESSANDRO Cameletti, Michela GOLINI, Natalia Ignaccolo, Rosaria Chapter Ammonia emissions and fine particulate matter: some evidence in Lombardy |
| title | Chapter Ammonia emissions and fine particulate matter: some evidence in Lombardy |
| title_full | Chapter Ammonia emissions and fine particulate matter: some evidence in Lombardy |
| title_fullStr | Chapter Ammonia emissions and fine particulate matter: some evidence in Lombardy |
| title_full_unstemmed | Chapter Ammonia emissions and fine particulate matter: some evidence in Lombardy |
| title_short | Chapter Ammonia emissions and fine particulate matter: some evidence in Lombardy |
| title_sort | chapter ammonia emissions and fine particulate matter some evidence in lombardy |
| topic | Spatio-temporal Kriging Random Forest Predictive modeling Air quality Agriculture emissions thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences |
| topic_facet | Spatio-temporal Kriging Random Forest Predictive modeling Air quality Agriculture emissions thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences |
| url | ONIX_20230803_9791221501063_108 |
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