Evidence map›Paper›PMID 41298661›Full record

ArticleScientific reports2025

Environmental and socio-economic sustainability assessment of remediation alternatives for a contaminated oil refinery site in Southern China.

Yingluo Jia, Xianglan Li, Hongzhen Zhang, Chunlong Zhang, Yafei Wang, Meijie Zhu, Chunhui Sang, Yuxin Nie, Hao Meng, Peng Liu and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

11 authors.

Yingluo JiaFaculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
Xianglan LiFaculty of Geographical Science, Beijing Normal University, Beijing, 100875, China. xlli@bnu.edu.cn.
Hongzhen ZhangChinese Academy of Environmental Planning, Beijing, 100006, China.
Chunlong ZhangUniversity of Houston-Clear Lake, Houston, TX, 77058, USA.
Yafei WangSchool of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing, 102617, China.
Meijie ZhuFaculty of Business, Hong Kong Chu Hai College, Tuen Mun, 999077, Hong Kong, China.
Chunhui SangFaculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
Yuxin NieFaculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
Hao MengFaculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
Peng LiuFaculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
Jingqi DongChinese Academy of Environmental Planning, Beijing, 100006, China.

Funding

National Key Research and Development Program of China Nos. 2022YFC3703300
6 · The paper itself

Abstract

Refineries are an important industrial legacy, emitting large amounts of petroleum hydrocarbons and highlighting the need for the green and sustainable remediation of contaminated oil refinery sites globally. This study aimed to evaluate the environmental and socio-economic sustainability of thermal desorption (TD) and stabilization/solidification (S/S) strategies for remediating a contaminated oil refinery site in Sichuan Province, China. We calculated the energy consumption, greenhouse gas emissions, and air pollutants across different remediation phases, and quantified the sustainability of the remediation using multi criteria analysis (MCA) and Bayesian networks (BNs). TD consumed 518,088,020 million British thermal units (MMBTU) of energy and emitted 8,916 kgCO

Indexed as

Contaminated site remediationDecision-makingMulti-criteria assessmentOil refinery site

Identifiers

PMID41298661
PMCPMC12657950

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.