Evidence map›Paper›PMID 40521086›Full record

ArticleEco-Environment & Health2025

Synergistic strategies for pollution and carbon emission reduction in China's wastewater treatment: A comprehensive tiered assessment and benchmarking framework.

Xiaoshu Hou, Yuchen Deng, Lu Qin, Xin Xie, Yilan Sun, Gang Yan, Miao Li

Abstract read
In one paragraph

Article in Eco-Environment & Health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Xiaoshu HouKey Laboratory of Environmental Pollution and Greenhouse Gases Co-control, Ministry of Ecology and Environment, Center of Environmental Pollution and Greenhouse Gases Co-control, Chinese Academy of Environmental Planning, Beijing 100041, China.
Yuchen DengSchool of Environment, Tsinghua University, Beijing 100084, China.
Lu QinSchool of Environment, Tsinghua University, Beijing 100084, China.
Xin XieChina National Environmental Monitoring Centre, Beijing 100012, China.
Yilan SunSchool of Environment, Tsinghua University, Beijing 100084, China.
Gang YanKey Laboratory of Environmental Pollution and Greenhouse Gases Co-control, Ministry of Ecology and Environment, Center of Environmental Pollution and Greenhouse Gases Co-control, Chinese Academy of Environmental Planning, Beijing 100041, China.
Miao LiSchool of Environment, Tsinghua University, Beijing 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China's dual-carbon goals challenges wastewater treatment plants (WWTPs), requiring integrated pollution control and carbon emission reduction. Critical gaps hinder China's strategies for WWTPs, particularly in identifying upgrade needs, optimizing performance, and assessing the local benchmark plants as references. This study addresses these gaps through greenhouse gas (GHG) emission accounting and impact factor analysis, using monthly data from 2232 WWTPs across China. A tiered assessment methodology was developed to evaluate the synergy between pollution reduction and carbon mitigation, including indicators, methodologies, and assessment criteria. Results indicate that indirect emissions from electricity and chemical consumption accounted for 59.9% of total GHG emissions. Key factors influencing these indirect emissions included plant scale, treatment processes, geographic area, operational load, electricity consumption, and influent quality. Through the tiered assessment, WWTPs were classified into three categories: priority control (861 plants), general control (730 plants), and maintenance (641 plants). Furthermore, 222 benchmark plants were identified as exhibiting optimal synergy between pollution control and carbon reduction. For 80% of the benchmark plants, the ranges for carbon emission intensity, influent COD, influent C/N ratio, electricity consumption intensity, and operating load were 0.258-0.482 ​kg CO

Indexed as

Benchmark plantsPolicy implicationsSynergy reductionTiered assessmentWWTPs

Identifiers

PMID40521086
PMCPMC12167011

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.