Evidence map›Paper›PMID 36293966›Full record

ArticleInternational journal of environmental research and public health2022

Insight into Greenhouse Gases Emissions and Energy Consumption of Different Full-Scale Wastewater Treatment Plants via ECAM Tool.

Yuhe Tian, Shuang Liu, Zheng Guo, Nan Wu, Jiaqi Liang, Ruihua Zhao, Linlin Hao, Ming Zeng

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 44% of its field
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

1 citing paper in PubMed, 12 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 1 country.

Yuhe TianCollege of Marine and Environmental Sciences, Tianjin University of Science & Technology, Tianjin 300457, China.
Shuang LiuCollege of Marine and Environmental Sciences, Tianjin University of Science & Technology, Tianjin 300457, China.
Zheng GuoCollege of Marine and Environmental Sciences, Tianjin University of Science & Technology, Tianjin 300457, China.
Nan WuCollege of Engineering and Technology, Tianjin Agricultural University, Tianjin 300384, China.
Jiaqi LiangCollege of Engineering and Technology, Tianjin Agricultural University, Tianjin 300384, China.
Ruihua ZhaoCollege of Marine and Environmental Sciences, Tianjin University of Science & Technology, Tianjin 300457, China.
Linlin HaoCollege of Marine and Environmental Sciences, Tianjin University of Science & Technology, Tianjin 300457, China.
Ming ZengCollege of Marine and Environmental Sciences, Tianjin University of Science & Technology, Tianjin 300457, China.
Tianjin University of Science and Technology · CNTianjin Agricultural University · CNInstitute of Process Engineering · CN

Funding

National Natural Science Foundation of China 22276135Tianjin Research Innovation Project for Postgraduate Students 2020YJSS138
6 · The paper itself

Abstract

Greenhouse gas (GHG) production is one of the urgent problems to be solved in the wastewater treatment industry in the context of "carbon neutrality". In this study, the carbon emissions and energy consumption of typical wastewater treatment processes in China were evaluated, starting from different cities and water treatment plants. Tool of Energy Performance and Carbon Emission Assessment and Monitoring (ECAM) was used. By comparing the influent BOD

Indexed as

Greenhouse GasesWater PurificationBiofuelsCarbonGreenhouse EffectWastewaterBiofuelsCarbonGreenhouse GasesWastewatercarbonECAMenergy recoverygreenhouse gas emissionwastewater treatment

Identifiers

PMID36293966
PMCPMC9603784
OpenAlexW4306659360

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.