FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4322011300> ?p ?o ?g. }

• W4322011300 abstract "The current socio-economic and political scenario is posing serious challenges to energy usage, mobility, residential and industrial activities, which may impact local emission patterns, fossil fuel vs alternative fuels usage and air quality in unknown ways. On top of this, winter 2022-23 is being exceptionally warm across the European continent.The investigation of the interactions between air quality, meteorological factors and emissions sources at high spatio-temporal resolution plays a crucial role to detect areas and periods characterized by critical conditions, especially in complex urban environments. Data at such fine resolution can today be obtained through dense low-cost sensor networks integrating sparse official air quality stations. This research aims to assess meteorological forcing, emission proxies (i.e., population density, CO2 local enhancement, land-use) and particulate matter concentrations (PMs) for the last three winter seasons (2020-2023) characterized by contrasting conditions. The study was focused on the Lucca plain (central Italy), an area characterized by heterogeneous emission sources and classified among the most polluted in the region. Sixteen low-cost stations (&#8220;AirQino&#8221;), equipped with high-frequency sensors to detect PM10, PM2.5, air-temperature, relative humidity (RH), and CO2 concentration were installed on an area spanning approximately 10 x 20 km. Local land use surrounding the measurement stations was obtained from the Corine Land Cover. Mixing Layer Height (Hmix) and wind data were obtained from a WRF-CALMET coupled model. Population density was computed with demographic data from the Global Human Settlement database. For CO2 data, the nocturnal enhancement normalized by wind speed with respect the minimum midday values was used as an emission proxy (&#916;CO2). Population density and land use including fractions of residential, industrial, and agricultural areas were computed in a 1-km radius surrounding each station.Preliminary comparisons between winter 2021/2022 and 2022/23 were performed to assess the effects of energy crisis and climatic conditions on air-quality. Different multivariate regression models were developed to investigate the inference between Hmix, air-temperature, RH, &#916;CO2, population density, land use and PMs concentrations.Most recent analysis shows a consistent and robust positive air temperature anomaly in November-December 2022 vs 2021 (+ 1.25 &#176;C). CO2 enhancements were on average 20% lower (-19.0 to +3.7 ppm in 2022 vs 2021 respectively) suggesting a relevant emission reduction occurring at the landscape scale. However, these reductions did not always translate into PM10 and PM2.5 reductions and air quality improvements. Among the 16 stations, 11 exhibited a decrease in PM2.5 concentration (-21.60 % on average) and only 9 in PM10 (-21.55 % on average). The locations where air quality did not improve or was even worse this year are characterized by the lowest population density and lowest presence of residential neighborhoods, being mostly in rural or rural/industrial contexts. This suggests that alternative fuels such as wood biomass are likely replacing natural gas in peri-urban areas for domestic heating, generating a negative impact on air quality that could be much worst when usual lower temperature conditions will be met. A complete multivariate analysis to confirm these patterns will be presented." @default.
• W4322011300 created "2023-02-26" @default.
• W4322011300 creator A5001374406 @default.
• W4322011300 creator A5012860995 @default.
• W4322011300 creator A5016829188 @default.
• W4322011300 creator A5031115321 @default.
• W4322011300 creator A5037769491 @default.
• W4322011300 creator A5044264383 @default.
• W4322011300 creator A5064000604 @default.
• W4322011300 creator A5071022635 @default.
• W4322011300 date "2023-05-15" @default.
• W4322011300 modified "2023-09-29" @default.
• W4322011300 title "Winter 2022 thermal anomaly and energy crisis impact on air quality in urban and rural areas assessed with dense sensor networks" @default.
• W4322011300 doi "https://doi.org/10.5194/egusphere-egu23-8403" @default.
• W4322011300 hasPublicationYear "2023" @default.
• W4322011300 type Work @default.
• W4322011300 citedByCount "0" @default.
• W4322011300 crossrefType "posted-content" @default.
• W4322011300 hasAuthorship W4322011300A5001374406 @default.
• W4322011300 hasAuthorship W4322011300A5012860995 @default.
• W4322011300 hasAuthorship W4322011300A5016829188 @default.
• W4322011300 hasAuthorship W4322011300A5031115321 @default.
• W4322011300 hasAuthorship W4322011300A5037769491 @default.
• W4322011300 hasAuthorship W4322011300A5044264383 @default.
• W4322011300 hasAuthorship W4322011300A5064000604 @default.
• W4322011300 hasAuthorship W4322011300A5071022635 @default.
• W4322011300 hasConcept C100970517 @default.
• W4322011300 hasConcept C126314574 @default.
• W4322011300 hasConcept C127313418 @default.
• W4322011300 hasConcept C127413603 @default.
• W4322011300 hasConcept C133204551 @default.
• W4322011300 hasConcept C144024400 @default.
• W4322011300 hasConcept C147176958 @default.
• W4322011300 hasConcept C149923435 @default.
• W4322011300 hasConcept C153294291 @default.
• W4322011300 hasConcept C158960510 @default.
• W4322011300 hasConcept C161067210 @default.
• W4322011300 hasConcept C18903297 @default.
• W4322011300 hasConcept C205649164 @default.
• W4322011300 hasConcept C24245907 @default.
• W4322011300 hasConcept C2780648208 @default.
• W4322011300 hasConcept C2908647359 @default.
• W4322011300 hasConcept C39432304 @default.
• W4322011300 hasConcept C4792198 @default.
• W4322011300 hasConcept C49204034 @default.
• W4322011300 hasConcept C86803240 @default.
• W4322011300 hasConcept C91586092 @default.
• W4322011300 hasConceptScore W4322011300C100970517 @default.
• W4322011300 hasConceptScore W4322011300C126314574 @default.
• W4322011300 hasConceptScore W4322011300C127313418 @default.
• W4322011300 hasConceptScore W4322011300C127413603 @default.
• W4322011300 hasConceptScore W4322011300C133204551 @default.
• W4322011300 hasConceptScore W4322011300C144024400 @default.
• W4322011300 hasConceptScore W4322011300C147176958 @default.
• W4322011300 hasConceptScore W4322011300C149923435 @default.
• W4322011300 hasConceptScore W4322011300C153294291 @default.
• W4322011300 hasConceptScore W4322011300C158960510 @default.
• W4322011300 hasConceptScore W4322011300C161067210 @default.
• W4322011300 hasConceptScore W4322011300C18903297 @default.
• W4322011300 hasConceptScore W4322011300C205649164 @default.
• W4322011300 hasConceptScore W4322011300C24245907 @default.
• W4322011300 hasConceptScore W4322011300C2780648208 @default.
• W4322011300 hasConceptScore W4322011300C2908647359 @default.
• W4322011300 hasConceptScore W4322011300C39432304 @default.
• W4322011300 hasConceptScore W4322011300C4792198 @default.
• W4322011300 hasConceptScore W4322011300C49204034 @default.
• W4322011300 hasConceptScore W4322011300C86803240 @default.
• W4322011300 hasConceptScore W4322011300C91586092 @default.
• W4322011300 hasLocation W43220113001 @default.
• W4322011300 hasOpenAccess W4322011300 @default.
• W4322011300 hasPrimaryLocation W43220113001 @default.
• W4322011300 hasRelatedWork W2004318300 @default.
• W4322011300 hasRelatedWork W2367080600 @default.
• W4322011300 hasRelatedWork W2388363033 @default.
• W4322011300 hasRelatedWork W2747757746 @default.
• W4322011300 hasRelatedWork W2777342777 @default.
• W4322011300 hasRelatedWork W2787808991 @default.
• W4322011300 hasRelatedWork W2999638788 @default.
• W4322011300 hasRelatedWork W3024643518 @default.
• W4322011300 hasRelatedWork W3035307268 @default.
• W4322011300 hasRelatedWork W4224223762 @default.
• W4322011300 isParatext "false" @default.
• W4322011300 isRetracted "false" @default.
• W4322011300 workType "article" @default.