Evidence map›Paper›PMID 31817465›Full record

ArticleInternational journal of environmental research and public health2019

Assessing the Spatial Distribution of Soil PAHs and their Relationship with Anthropogenic Activities at a National Scale.

Siyan Zeng, Jing Ma, Yanhua Ren, Gang-Jun Liu, Qi Zhang, Fu Chen

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

6 authors.

Siyan ZengSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221008, China.
Jing MaLow Carbon Energy Institute, China University of Mining and Technology, Xuzhou 221008, China.ORCID 0000-0003-1177-1305
Yanhua RenSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221008, China.
Gang-Jun LiuGeospatial Sciences, College of Science, Engineering, and Health, RMIT University, Melbourne 3000, Australia.
Qi ZhangSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221008, China.
Fu ChenSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221008, China.ORCID 0000-0002-9145-6702

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil polycyclic aromatic hydrocarbon (PAH) pollution is a major concern due to its negative impact on soil quality around the world. In China, accurate data on soil PAHs and information on the relationship with anthropogenic activities are limited. In this study, about 30,800 samples from 1833 soil sample sites were reviewed from 306 published reports to build a soil PAHs database. Based on the data obtained, the results demonstrated that 24.11% of surface soils in China are heavily contaminated. Meanwhile, the concentration of soil PAHs varied, in the order of independent mining and industrial areas (IMIA) > urban areas > suburban areas > rural areas, and the spatial distribution in China demonstrated a descending trend from north to south. Moreover, the characteristic ratio and PCA-MLR (principal component analysis-multiple linear regression) analysis demonstrated that coal combustion and vehicular exhaust emissions were the main sources of soil PAH pollution in China. On the other hand, provincial total Σ

Indexed as

ChinaCoal MiningEnvironmental MonitoringPolycyclic Aromatic HydrocarbonsPrincipal Component AnalysisRisk AssessmentSoilSoil PollutantsVehicle EmissionsPolycyclic Aromatic HydrocarbonsSoilSoil PollutantsVehicle Emissionscontaminationecological safetypolycyclic aromatic hydrocarbonssoil qualitysource distributionspatial variation

Identifiers

PMID31817465
PMCPMC6950367

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.