Matches in SemOpenAlex for { <https://semopenalex.org/work/W3048892914> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W3048892914 abstract "Air quality is a common cause for respiratory health problems. It shows high temporal and spatial variability within urban areas and currently sensors are installed to monitor air quality. The objective of this paper is to investigate its spatial variability during peak hours. Spatial statistical methods are based upon copula theory, integrating distributions from different pollutants and at different locations. In this paper attention focused on PM1 as one of the neglected components of air quality so far. Using observations from the Netherlands, we compared two hours: the first hour of the New Year, and an hour with a high traffic congestion. We investigated the size of the sensor network by analyzing observations from a city with 35 sensors with a city with four sensors and a city with one sensor. In the absence of an environmental standard for PM1, the paper defined a threshold related to existing thresholds of PM2.5 and PM10. Results showed the adequacy of the large network, generating a varying pattern during the high peak hour, whereas in cities with less sensors both the spatial spread and possibly large values are missed. In particular the first hour of the New Year showed large concentrations and high probabilities that a threshold was exceeded, whereas the second peak hour showed values well below the threshold. We conclude that the mapping of PM1 concentrations can well be done by copula interpolation. Using one or three sensors may save expenses, but this is at the cost of missing extreme values as well as spatial patterns. Both are potentially important for public health measures." @default.
- W3048892914 created "2020-08-18" @default.
- W3048892914 creator A5022929194 @default.
- W3048892914 creator A5072487083 @default.
- W3048892914 creator A5082935691 @default.
- W3048892914 date "2020-01-01" @default.
- W3048892914 modified "2023-09-23" @default.
- W3048892914 title "Spatial Interpolation of Extreme PM1 Values Using Copulas" @default.
- W3048892914 cites W1636828051 @default.
- W3048892914 cites W1978290902 @default.
- W3048892914 cites W2059983627 @default.
- W3048892914 cites W2492680070 @default.
- W3048892914 cites W2519184407 @default.
- W3048892914 cites W2791146049 @default.
- W3048892914 cites W2890931566 @default.
- W3048892914 cites W2941327965 @default.
- W3048892914 cites W2943997241 @default.
- W3048892914 cites W2944141021 @default.
- W3048892914 doi "https://doi.org/10.1007/978-3-030-42196-0_13" @default.
- W3048892914 hasPublicationYear "2020" @default.
- W3048892914 type Work @default.
- W3048892914 sameAs 3048892914 @default.
- W3048892914 citedByCount "0" @default.
- W3048892914 crossrefType "book-chapter" @default.
- W3048892914 hasAuthorship W3048892914A5022929194 @default.
- W3048892914 hasAuthorship W3048892914A5072487083 @default.
- W3048892914 hasAuthorship W3048892914A5082935691 @default.
- W3048892914 hasConcept C105795698 @default.
- W3048892914 hasConcept C126042441 @default.
- W3048892914 hasConcept C126314574 @default.
- W3048892914 hasConcept C137800194 @default.
- W3048892914 hasConcept C147581598 @default.
- W3048892914 hasConcept C149782125 @default.
- W3048892914 hasConcept C153294291 @default.
- W3048892914 hasConcept C17618745 @default.
- W3048892914 hasConcept C178790620 @default.
- W3048892914 hasConcept C185592680 @default.
- W3048892914 hasConcept C203332170 @default.
- W3048892914 hasConcept C205203396 @default.
- W3048892914 hasConcept C205649164 @default.
- W3048892914 hasConcept C2987853052 @default.
- W3048892914 hasConcept C33923547 @default.
- W3048892914 hasConcept C39432304 @default.
- W3048892914 hasConcept C41008148 @default.
- W3048892914 hasConcept C559116025 @default.
- W3048892914 hasConcept C76155785 @default.
- W3048892914 hasConcept C94747663 @default.
- W3048892914 hasConceptScore W3048892914C105795698 @default.
- W3048892914 hasConceptScore W3048892914C126042441 @default.
- W3048892914 hasConceptScore W3048892914C126314574 @default.
- W3048892914 hasConceptScore W3048892914C137800194 @default.
- W3048892914 hasConceptScore W3048892914C147581598 @default.
- W3048892914 hasConceptScore W3048892914C149782125 @default.
- W3048892914 hasConceptScore W3048892914C153294291 @default.
- W3048892914 hasConceptScore W3048892914C17618745 @default.
- W3048892914 hasConceptScore W3048892914C178790620 @default.
- W3048892914 hasConceptScore W3048892914C185592680 @default.
- W3048892914 hasConceptScore W3048892914C203332170 @default.
- W3048892914 hasConceptScore W3048892914C205203396 @default.
- W3048892914 hasConceptScore W3048892914C205649164 @default.
- W3048892914 hasConceptScore W3048892914C2987853052 @default.
- W3048892914 hasConceptScore W3048892914C33923547 @default.
- W3048892914 hasConceptScore W3048892914C39432304 @default.
- W3048892914 hasConceptScore W3048892914C41008148 @default.
- W3048892914 hasConceptScore W3048892914C559116025 @default.
- W3048892914 hasConceptScore W3048892914C76155785 @default.
- W3048892914 hasConceptScore W3048892914C94747663 @default.
- W3048892914 hasLocation W30488929141 @default.
- W3048892914 hasOpenAccess W3048892914 @default.
- W3048892914 hasPrimaryLocation W30488929141 @default.
- W3048892914 hasRelatedWork W10960265 @default.
- W3048892914 hasRelatedWork W271214 @default.
- W3048892914 hasRelatedWork W2986281 @default.
- W3048892914 hasRelatedWork W3075396 @default.
- W3048892914 hasRelatedWork W3607862 @default.
- W3048892914 hasRelatedWork W4393393 @default.
- W3048892914 hasRelatedWork W7322850 @default.
- W3048892914 hasRelatedWork W7884027 @default.
- W3048892914 hasRelatedWork W806972 @default.
- W3048892914 hasRelatedWork W9019371 @default.
- W3048892914 isParatext "false" @default.
- W3048892914 isRetracted "false" @default.
- W3048892914 magId "3048892914" @default.
- W3048892914 workType "book-chapter" @default.