Loris Colombo, Alessandro Marongiu, Giuseppe Fossati, Giulia Malvestiti, Elisabetta Angelino
{"title":"伦巴第大区冬季 PM2.5 对氮氧化物、二氧化硫和 NH3 排放变化的敏感性","authors":"Loris Colombo, Alessandro Marongiu, Giuseppe Fossati, Giulia Malvestiti, Elisabetta Angelino","doi":"10.1007/s11869-024-01519-0","DOIUrl":null,"url":null,"abstract":"<p>The Po Valley stands out as one of the most urbanized and industrialized regions in Europe. For decades, it has been grappling with the impact of human exposure to fine particulate matter (PM<sub>2.5</sub>). The Lombardy Region in northern Italy, a key area within the Po Valley, experiences a complex interplay of main emission precursors (NH<sub>3</sub>, NO<sub>x</sub>, and SO<sub>x</sub>), leading to the formation of secondary inorganic aerosols. In this paper, we investigate the effects of reducing NH<sub>3</sub>, NO<sub>x</sub>, and SO<sub>x</sub> emissions, individually and in combination, on PM<sub>2.5</sub> concentrations in the Lombardy Region. Our analyses employ the operational Air Quality model, used daily by ARPA Lombardia. The focus of the study is wintertime period (1 January–31 March), recognized as the most challenging period of the year due to strong correlations between NH<sub>3</sub>, PM<sub>10</sub>, (NH<sub>4</sub>)NO<sub>3</sub>, and (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub> concentrations and peaking days of ammonia emissions from slurry spreading. Our results reveal that, during wintertime emission reductions, (a) PM<sub>2.5</sub> concentration changes exhibit linearity within 25% reduction of precursors, with non-linearities increasing as precursors reductions surpass this threshold; (b) the NO<sub>x</sub>-sensitive areas extend spatially up to 50% reductions and localize in areas with higher NH<sub>3</sub> emissions; (c) NH<sub>3</sub>-sensitive areas are concentrated in densely urbanized regions of the Lombardy Region; and (d) sensitive chemical regimes are mixed, and it is more effective to reduce both NH<sub>3</sub> and NO<sub>x</sub> rather than SO<sub>x</sub> (emissions of which are not abundant).</p><p>Final discussions, considering furtherly both summertime and yearly simulations, underscore the significance of focusing on wintertime. PM<sub>2.5</sub> responses to precursors display significant spatial variations compared to summertime, where NO<sub>x</sub>-sensitive areas predominate. These findings provide valuable insights into reducing PM<sub>2.5</sub> concentrations, assisting air quality policymakers in understanding the impacts of precursor emissions on PM<sub>2.5</sub> levels during wintertime.</p>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"17 7","pages":"1451 - 1466"},"PeriodicalIF":2.9000,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PM2.5 wintertime sensitivity to changes in NOx, SO2, and NH3 emissions in Lombardy Region\",\"authors\":\"Loris Colombo, Alessandro Marongiu, Giuseppe Fossati, Giulia Malvestiti, Elisabetta Angelino\",\"doi\":\"10.1007/s11869-024-01519-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The Po Valley stands out as one of the most urbanized and industrialized regions in Europe. For decades, it has been grappling with the impact of human exposure to fine particulate matter (PM<sub>2.5</sub>). The Lombardy Region in northern Italy, a key area within the Po Valley, experiences a complex interplay of main emission precursors (NH<sub>3</sub>, NO<sub>x</sub>, and SO<sub>x</sub>), leading to the formation of secondary inorganic aerosols. In this paper, we investigate the effects of reducing NH<sub>3</sub>, NO<sub>x</sub>, and SO<sub>x</sub> emissions, individually and in combination, on PM<sub>2.5</sub> concentrations in the Lombardy Region. Our analyses employ the operational Air Quality model, used daily by ARPA Lombardia. The focus of the study is wintertime period (1 January–31 March), recognized as the most challenging period of the year due to strong correlations between NH<sub>3</sub>, PM<sub>10</sub>, (NH<sub>4</sub>)NO<sub>3</sub>, and (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub> concentrations and peaking days of ammonia emissions from slurry spreading. Our results reveal that, during wintertime emission reductions, (a) PM<sub>2.5</sub> concentration changes exhibit linearity within 25% reduction of precursors, with non-linearities increasing as precursors reductions surpass this threshold; (b) the NO<sub>x</sub>-sensitive areas extend spatially up to 50% reductions and localize in areas with higher NH<sub>3</sub> emissions; (c) NH<sub>3</sub>-sensitive areas are concentrated in densely urbanized regions of the Lombardy Region; and (d) sensitive chemical regimes are mixed, and it is more effective to reduce both NH<sub>3</sub> and NO<sub>x</sub> rather than SO<sub>x</sub> (emissions of which are not abundant).</p><p>Final discussions, considering furtherly both summertime and yearly simulations, underscore the significance of focusing on wintertime. PM<sub>2.5</sub> responses to precursors display significant spatial variations compared to summertime, where NO<sub>x</sub>-sensitive areas predominate. 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PM2.5 wintertime sensitivity to changes in NOx, SO2, and NH3 emissions in Lombardy Region
The Po Valley stands out as one of the most urbanized and industrialized regions in Europe. For decades, it has been grappling with the impact of human exposure to fine particulate matter (PM2.5). The Lombardy Region in northern Italy, a key area within the Po Valley, experiences a complex interplay of main emission precursors (NH3, NOx, and SOx), leading to the formation of secondary inorganic aerosols. In this paper, we investigate the effects of reducing NH3, NOx, and SOx emissions, individually and in combination, on PM2.5 concentrations in the Lombardy Region. Our analyses employ the operational Air Quality model, used daily by ARPA Lombardia. The focus of the study is wintertime period (1 January–31 March), recognized as the most challenging period of the year due to strong correlations between NH3, PM10, (NH4)NO3, and (NH4)2SO4 concentrations and peaking days of ammonia emissions from slurry spreading. Our results reveal that, during wintertime emission reductions, (a) PM2.5 concentration changes exhibit linearity within 25% reduction of precursors, with non-linearities increasing as precursors reductions surpass this threshold; (b) the NOx-sensitive areas extend spatially up to 50% reductions and localize in areas with higher NH3 emissions; (c) NH3-sensitive areas are concentrated in densely urbanized regions of the Lombardy Region; and (d) sensitive chemical regimes are mixed, and it is more effective to reduce both NH3 and NOx rather than SOx (emissions of which are not abundant).
Final discussions, considering furtherly both summertime and yearly simulations, underscore the significance of focusing on wintertime. PM2.5 responses to precursors display significant spatial variations compared to summertime, where NOx-sensitive areas predominate. These findings provide valuable insights into reducing PM2.5 concentrations, assisting air quality policymakers in understanding the impacts of precursor emissions on PM2.5 levels during wintertime.
期刊介绍:
Air Quality, Atmosphere, and Health is a multidisciplinary journal which, by its very name, illustrates the broad range of work it publishes and which focuses on atmospheric consequences of human activities and their implications for human and ecological health.
It offers research papers, critical literature reviews and commentaries, as well as special issues devoted to topical subjects or themes.
International in scope, the journal presents papers that inform and stimulate a global readership, as the topic addressed are global in their import. Consequently, we do not encourage submission of papers involving local data that relate to local problems. Unless they demonstrate wide applicability, these are better submitted to national or regional journals.
Air Quality, Atmosphere & Health addresses such topics as acid precipitation; airborne particulate matter; air quality monitoring and management; exposure assessment; risk assessment; indoor air quality; atmospheric chemistry; atmospheric modeling and prediction; air pollution climatology; climate change and air quality; air pollution measurement; atmospheric impact assessment; forest-fire emissions; atmospheric science; greenhouse gases; health and ecological effects; clean air technology; regional and global change and satellite measurements.
This journal benefits a diverse audience of researchers, public health officials and policy makers addressing problems that call for solutions based in evidence from atmospheric and exposure assessment scientists, epidemiologists, and risk assessors. Publication in the journal affords the opportunity to reach beyond defined disciplinary niches to this broader readership.