Combining Dispersion Modeling and Monitoring Data for Community-Scale Air Quality Characterization Article Swipe
Vlad Isakov
,
Saravanan Arunachalam
,
Richard Baldauf
,
Michael S. Breen
,
Parikshit Deshmukh
,
Andy Hawkins
,
Sue Kimbrough
,
Stephen Krabbe
,
Brian Naess
,
Marc L. Serre
,
Alejandro Valencia
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/atmos10100610
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/atmos10100610
Spatially and temporally resolved air quality characterization is critical for community-scale exposure studies and for developing future air quality mitigation strategies. Monitoring-based assessments can characterize local air quality when enough monitors are deployed. However, modeling plays a vital role in furthering the understanding of the relative contributions of emissions sources impacting the community. In this study, we combine dispersion modeling and measurements from the Kansas City TRansportation local-scale Air Quality Study (KC-TRAQS) and use data fusion methods to characterize air quality. The KC-TRAQS study produced a rich dataset using both traditional and emerging measurement technologies. We used dispersion modeling to support field study design and analysis. In the study design phase, the presumptive placement of fixed monitoring sites and mobile monitoring routes have been corroborated using a research screening tool C-PORT to assess the spatial and temporal coverage relative to the entire study area extent. In the analysis phase, dispersion modeling was used in combination with observations to help interpret the KC-TRAQS data. We extended this work to use data fusion methods to combine observations from stationary, mobile measurements, and dispersion model estimates.
Related Topics
Concepts
Air quality index
Dispersion (optics)
Environmental science
Scale (ratio)
Atmospheric dispersion modeling
Remote sensing
Field (mathematics)
Data quality
Computer science
Meteorology
Air pollution
Geography
Cartography
Engineering
Organic chemistry
Chemistry
Metric (unit)
Optics
Mathematics
Pure mathematics
Operations management
Physics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/atmos10100610
- https://www.mdpi.com/2073-4433/10/10/610/pdf?version=1571214398
- OA Status
- gold
- Cited By
- 14
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2980159696
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2980159696Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/atmos10100610Digital Object Identifier
- Title
-
Combining Dispersion Modeling and Monitoring Data for Community-Scale Air Quality CharacterizationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-10-10Full publication date if available
- Authors
-
Vlad Isakov, Saravanan Arunachalam, Richard Baldauf, Michael S. Breen, Parikshit Deshmukh, Andy Hawkins, Sue Kimbrough, Stephen Krabbe, Brian Naess, Marc L. Serre, Alejandro ValenciaList of authors in order
- Landing page
-
https://doi.org/10.3390/atmos10100610Publisher landing page
- PDF URL
-
https://www.mdpi.com/2073-4433/10/10/610/pdf?version=1571214398Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2073-4433/10/10/610/pdf?version=1571214398Direct OA link when available
- Concepts
-
Air quality index, Dispersion (optics), Environmental science, Scale (ratio), Atmospheric dispersion modeling, Remote sensing, Field (mathematics), Data quality, Computer science, Meteorology, Air pollution, Geography, Cartography, Engineering, Organic chemistry, Chemistry, Metric (unit), Optics, Mathematics, Pure mathematics, Operations management, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
14Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 5, 2022: 2, 2021: 5, 2020: 2Per-year citation counts (last 5 years)
- References (count)
-
29Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.TRansportation | 66 |
| abstract_inverted_index.community-scale | 10 |
| abstract_inverted_index.Monitoring-based | 21 |
| abstract_inverted_index.characterization | 6 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5047423908 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 11 |
| corresponding_institution_ids | https://openalex.org/I1302368450, https://openalex.org/I1309191912 |
| citation_normalized_percentile.value | 0.73701613 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |