Evidence map›Paper›PMID 37590244›Full record

ArticleEnvironmental science: atmospheres2023

Evaluating reduced-form modeling tools for simulating ozone and PM

Heather Simon, Kirk R Baker, Jennifer Sellers, Meredith Amend, Stefani L Penn, Joshua Bankert, Elizabeth A W Chan, Neal Fann, Carey Jang, Gobeail McKinley and 2 more

Abstract read
In one paragraph

Article in Environmental science: atmospheres, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Source-Receptor Relationships Between Precursor Emissions and OEnvironmental science & technology · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Heather SimonUS Environmental Protection Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC.
Kirk R BakerUS Environmental Protection Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC.
Jennifer SellersUS Environmental Protection Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC.
Meredith AmendIndustrial Economics, Incorporated, Cambridge, MA.
Stefani L PennIndustrial Economics, Incorporated, Cambridge, MA.
Joshua BankertIndustrial Economics, Incorporated, Cambridge, MA.
Elizabeth A W ChanUS Environmental Protection Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC.
Neal FannUS Environmental Protection Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC.
Carey JangUS Environmental Protection Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC.
Gobeail McKinleyUS Environmental Protection Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC.
Margaret ZawackiUS Environmental Protection Agency, Office of Transportation and Air Quality, Ann Arbor, MI.
Henry RomanIndustrial Economics, Incorporated, Cambridge, MA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Reduced-form modeling approaches are an increasingly popular way to rapidly estimate air quality and human health impacts related to changes in air pollutant emissions. These approaches reduce computation time by making simplifying assumptions about pollutant source characteristics, transport and chemistry. Two reduced form tools used by the Environmental Protection Agency in recent assessments are source apportionment-based benefit per ton (SA BPT) and source apportionment-based air quality surfaces (SABAQS). In this work, we apply these two reduced form tools to predict changes in ambient summer-season ozone, ambient annual PM

Identifiers

PMID37590244
PMCPMC10425884

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.