FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2332907527> ?p ?o ?g. }

• W2332907527 endingPage "2325" @default.
• W2332907527 startingPage "2316" @default.
• W2332907527 abstract "A methodology to predict PM10 concentrations in urban outdoor environments is developed based on the generalized linear models (GLMs). The methodology is based on the relationship developed between atmospheric concentrations of air pollutants (i.e. CO, NO2, NOx, VOCs, SO2) and meteorological variables (i.e. ambient temperature, relative humidity (RH) and wind speed) for a city (Barreiro) of Portugal. The model uses air pollution and meteorological data from the Portuguese monitoring air quality station networks. The developed GLM considers PM10 concentrations as a dependent variable, and both the gaseous pollutants and meteorological variables as explanatory independent variables. A logarithmic link function was considered with a Poisson probability distribution. Particular attention was given to cases with air temperatures both below and above 25°C. The best performance for modelled results against the measured data was achieved for the model with values of air temperature above 25°C compared with the model considering all ranges of air temperatures and with the model considering only temperature below 25°C. The model was also tested with similar data from another Portuguese city, Oporto, and results found to behave similarly. It is concluded that this model and the methodology could be adopted for other cities to predict PM10 concentrations when these data are not available by measurements from air quality monitoring stations or other acquisition means." @default.
• W2332907527 created "2016-06-24" @default.
• W2332907527 creator A5004907604 @default.
• W2332907527 creator A5045400920 @default.
• W2332907527 creator A5061516216 @default.
• W2332907527 creator A5066787576 @default.
• W2332907527 creator A5081055970 @default.
• W2332907527 creator A5086026312 @default.
• W2332907527 date "2016-03-07" @default.
• W2332907527 modified "2023-09-25" @default.
• W2332907527 title "Developing a methodology to predict PM₁₀ concentrations in urban areas using generalized linear models" @default.
• W2332907527 cites W1983204473 @default.
• W2332907527 cites W1985999417 @default.
• W2332907527 cites W2000014050 @default.
• W2332907527 cites W2000656928 @default.
• W2332907527 cites W2005421623 @default.
• W2332907527 cites W2007609693 @default.
• W2332907527 cites W2009329344 @default.
• W2332907527 cites W2013655469 @default.
• W2332907527 cites W2033177766 @default.
• W2332907527 cites W2063744350 @default.
• W2332907527 cites W2081990052 @default.
• W2332907527 cites W2087279456 @default.
• W2332907527 cites W2089819325 @default.
• W2332907527 cites W2093063786 @default.
• W2332907527 cites W2099810256 @default.
• W2332907527 cites W2099956768 @default.
• W2332907527 cites W2104118185 @default.
• W2332907527 cites W2104665493 @default.
• W2332907527 cites W2108079253 @default.
• W2332907527 cites W2110913845 @default.
• W2332907527 cites W2115599167 @default.
• W2332907527 cites W2117801068 @default.
• W2332907527 cites W2141039137 @default.
• W2332907527 cites W2161354651 @default.
• W2332907527 cites W2316257305 @default.
• W2332907527 cites W2801490189 @default.
• W2332907527 cites W4255562583 @default.
• W2332907527 doi "https://doi.org/10.1080/09593330.2016.1149228" @default.
• W2332907527 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26839052" @default.
• W2332907527 hasPublicationYear "2016" @default.
• W2332907527 type Work @default.
• W2332907527 sameAs 2332907527 @default.
• W2332907527 citedByCount "21" @default.
• W2332907527 countsByYear W23329075272017 @default.
• W2332907527 countsByYear W23329075272019 @default.
• W2332907527 countsByYear W23329075272020 @default.
• W2332907527 countsByYear W23329075272021 @default.
• W2332907527 countsByYear W23329075272022 @default.
• W2332907527 countsByYear W23329075272023 @default.
• W2332907527 crossrefType "journal-article" @default.
• W2332907527 hasAuthorship W2332907527A5004907604 @default.
• W2332907527 hasAuthorship W2332907527A5045400920 @default.
• W2332907527 hasAuthorship W2332907527A5061516216 @default.
• W2332907527 hasAuthorship W2332907527A5066787576 @default.
• W2332907527 hasAuthorship W2332907527A5081055970 @default.
• W2332907527 hasAuthorship W2332907527A5086026312 @default.
• W2332907527 hasBestOaLocation W23329075272 @default.
• W2332907527 hasConcept C100906024 @default.
• W2332907527 hasConcept C105795698 @default.
• W2332907527 hasConcept C107775477 @default.
• W2332907527 hasConcept C126314574 @default.
• W2332907527 hasConcept C127313418 @default.
• W2332907527 hasConcept C153294291 @default.
• W2332907527 hasConcept C158960510 @default.
• W2332907527 hasConcept C161067210 @default.
• W2332907527 hasConcept C178790620 @default.
• W2332907527 hasConcept C185592680 @default.
• W2332907527 hasConcept C194648359 @default.
• W2332907527 hasConcept C205649164 @default.
• W2332907527 hasConcept C2987853052 @default.
• W2332907527 hasConcept C33923547 @default.
• W2332907527 hasConcept C39432304 @default.
• W2332907527 hasConcept C41587187 @default.
• W2332907527 hasConcept C52173716 @default.
• W2332907527 hasConcept C559116025 @default.
• W2332907527 hasConcept C91586092 @default.
• W2332907527 hasConceptScore W2332907527C100906024 @default.
• W2332907527 hasConceptScore W2332907527C105795698 @default.
• W2332907527 hasConceptScore W2332907527C107775477 @default.
• W2332907527 hasConceptScore W2332907527C126314574 @default.
• W2332907527 hasConceptScore W2332907527C127313418 @default.
• W2332907527 hasConceptScore W2332907527C153294291 @default.
• W2332907527 hasConceptScore W2332907527C158960510 @default.
• W2332907527 hasConceptScore W2332907527C161067210 @default.
• W2332907527 hasConceptScore W2332907527C178790620 @default.
• W2332907527 hasConceptScore W2332907527C185592680 @default.
• W2332907527 hasConceptScore W2332907527C194648359 @default.
• W2332907527 hasConceptScore W2332907527C205649164 @default.
• W2332907527 hasConceptScore W2332907527C2987853052 @default.
• W2332907527 hasConceptScore W2332907527C33923547 @default.
• W2332907527 hasConceptScore W2332907527C39432304 @default.
• W2332907527 hasConceptScore W2332907527C41587187 @default.
• W2332907527 hasConceptScore W2332907527C52173716 @default.
• W2332907527 hasConceptScore W2332907527C559116025 @default.
• W2332907527 hasConceptScore W2332907527C91586092 @default.
• W2332907527 hasIssue "18" @default.
• W2332907527 hasLocation W23329075271 @default.

• next