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Ranked by formulaVerdict: Notable

Atmospheric Concentrations and Emissions of Major HFCs at Six Background Stations in China during 2012-2023

Original title: Atmospheric Concentrations and Emissions of Major HFCs at Six Background Stations in China during 2012–2023

In this study, a long-term atmospheric observation of HFC-23, -32, -125, -134a, -143a, and -152a was conducted at six background stations across China from 2011 to 2023.

By Wang, Sun, Yang +8Environmental Science & Technology

Score████░░░░░░4.2

Key numbers

  • 1.6 times the global average
  • 76% of total HFCs

VerdictWorth a reader's time today.

Read the original

Abstract

Abstract In this study, a long-term atmospheric observation of HFC-23, -32, -125, -134a, -143a, and -152a was conducted at six background stations across China from 2011 to 2023. Using a tracer ratio method with HCFC-22 as the reference, emissions from four main economic regions, Northeast Plain (NEP), North China Plain (NCP), Yangtze River Delta (YRD), and Central South China (CSC), were estimated, and their trends were analyzed over four phases: Phase 1 (2012–2016), Phase 2 (2017–2018), Phase 3 (2019–2020), and Phase 4 (2021–2023). The results show that from 2011 to 2023, the atmospheric mixing ratios of all studied HFCs except HFC-152a exhibited increasing trends. Nationally, emissions of HFC-23 show a decreasing tendency during Phase 4, while emissions of HFC-32, -125, -134a, and -143a continued to rise throughout Phases 3 and 4. These four HFCs were identified as the dominant species, accounting for over 76% of total HFCs’ mass emissions. From Phase 3 to Phase 4, CO2-equivalent HFC emissions per capita increased slightly, whereas emissions per unit GDP decreased, which is mainly attributable to significant HFC reductions in the CSC region. Nevertheless, China’s average HFC emission intensities (whether calculated per unit GDP or per capita) remain approximately 1.5–1.6 times the global average.

Chen Wang, Wanqi Sun, Bo Yang, Dongqiao Wu, Ningzhang Wang, Qianli Ma, Peng Wang, Liyan Zhou, Haiyang Cai, Zhen Li, Lixin Liu

The editor's rubric

Heuristic review

Leverage2 / 5
Reusable within one subfield (a technique, dataset, or protocol a few groups will adopt).
16% of this desk’s rubric
Magnitude3 / 5
Large gain: roughly 2x, or a clear new state of the art on a hard, unsaturated problem.
20% of this desk’s rubric
Evidence3 / 5
Solid: multiple benchmarks or cohorts, ablations, fair baselines, released code or data.
20% of this desk’s rubric
Novelty2 / 5
A new combination of known ideas.
10% of this desk’s rubric
Trajectory2 / 5
Some room to improve with obvious engineering.
14% of this desk’s rubric
Stakes3 / 5
Meaningful benefit to many people within a few years.
20% of this desk’s rubric

Editor’s rationale

Heuristic triage from title and abstract text only, not a reading of the paper. Cues found: gains (x-fold); novelty (discovery); design (phase 3); stakes (global scale, climate).

How the score was computed

rank-2026-10-18

Score████░░░░░░4.2

Score = 10 × (75% × adjusted merit / 10 + 15% × attention + 10% × freshness)

Desks place stronger verdicts first, then use this score to order work within the same verdict.

Merit
5.2 / 10
Weighted rubric, evidence-gated.
Adjusted merit
4.5 / 10
Shrunk toward the desk prior by editor confidence (40%).
Attention
0%
Citations, upvotes, points, mentions.
Freshness
85%
Half-life decay since publication.
  • Citations0 (reference 15, via openalex, Oct 21, 2026, 07:29 UTC)

The record

  • Reviewed by heuristic-v7 on Oct 21, 2026, 07:29 UTC. Paper type: empirical.
  • Categories: Atmospheric Ozone and Climate, Atmospheric and Environmental Gas Dynamics, Refrigeration and Air Conditioning Technologies, Atmospheric Science, Earth and Planetary Sciences
  • BRIEF, No.8 in the Climate & Energy edition of October 21, 2026.