Evidence map›Paper›PMID 36070515›Full record

ArticleEnvironmental science & technology2022

Diverse Pathways for Power Sector Decarbonization in Texas Yield Health Cobenefits but Fail to Alleviate Air Pollution Exposure Inequities.

Qian Luo, Brenna Copeland, Fernando Garcia-Menendez, Jeremiah X Johnson

Abstract read
In one paragraph

Article in Environmental science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Exploring Regional Fine Particulate Matter (PMEnvironmental 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

4 authors.

Qian LuoDepartment of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, North Carolina 27607, United States.
Brenna CopelandDepartment of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, North Carolina 27607, United States.
Fernando Garcia-MenendezDepartment of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, North Carolina 27607, United States.ORCID 0000-0003-0235-5692
Jeremiah X JohnsonDepartment of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, North Carolina 27607, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decarbonizing power systems is a critical component of climate change mitigation, which can have public health cobenefits by reducing air pollution. Many studies have examined strategies to decarbonize power grids and quantified their health cobenefits. However, few of them focus on near-term cobenefits at community levels, while comparing various decarbonization pathways. Here, we use a coupled power system and air quality modeling framework to quantify the costs and benefits of decarbonizing the Texas power grid through a carbon tax; replacing coal with natural gas, solar, or wind; and internalizing human health impacts into operations. Our results show that all decarbonization pathways can result in major reductions in CO

Indexed as

Air PollutantsAir PollutionCarbonCarbon DioxideCoalHumansNatural GasTexasAir PollutantsCarbonCarbon DioxideCoalNatural Gascost-effectivenessenvironmental justicePM2.5 exposurepower system decarbonizationpublic health

Identifiers

PMID36070515
PMCPMC9494738

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.