Evidence map›Paper›PMID 36767417›Full record

ArticleInternational journal of environmental research and public health2023

Identification and Risk Assessment of Priority Control Organic Pollutants in Groundwater in the Junggar Basin in Xinjiang, P.R. China.

Zhi Tu, Yinzhu Zhou, Jinlong Zhou, Shuangbao Han, Jinwei Liu, Jiangtao Liu, Ying Sun, Fangyuan Yang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Zhi TuCollege of Water Conservancy and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, China.
Yinzhu ZhouCenter for Hydrogeology and Environmental Geology Survey, CGS, Baoding 071051, China.
Jinlong ZhouCollege of Water Conservancy and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, China.
Shuangbao HanCenter for Hydrogeology and Environmental Geology Survey, CGS, Baoding 071051, China.
Jinwei LiuCenter for Hydrogeology and Environmental Geology Survey, CGS, Baoding 071051, China.
Jiangtao LiuCenter for Hydrogeology and Environmental Geology Survey, CGS, Baoding 071051, China.
Ying SunCollege of Water Conservancy and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, China.
Fangyuan YangCollege of Mathematics and Physics, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0000-0001-6169-7313

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Junggar Basin in Xinjiang is located in the hinterland of Eurasia, where the groundwater is a significant resource and has important ecological functions. The introduction of harmful organic pollutants into groundwater from increasing human activities and rapid socioeconomic development may lead to groundwater pollution at various levels. Therefore, to develop an effective regulatory framework, establishing a list of priority control organic pollutants (PCOPs) is in urgent need. In this study, a method of ranking the priority of pollutants based on their prevalence (

Indexed as

Environmental PollutantsGroundwaterWater Pollutants, ChemicalBenzo(a)pyreneChinaChloroformDDTEnvironmental MonitoringEthylene DichloridesHumansRisk AssessmentBenzo(a)pyreneChloroformDDTEnvironmental Pollutantsethylene dichlorideEthylene DichloridesWater Pollutants, Chemicalecological riskgroundwater protectionhealth riskpriority control organic pollutantsthe Junggar Basinthe PvOPBT method

Identifiers

PMID36767417
PMCPMC9915296

What OpenQuestion holds

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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.