Evidence map›Paper›PMID 30287769›Full record

ArticleInternational journal of environmental research and public health2018

Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient.

Shudi Zuo, Shaoqing Dai, Yaying Li, Jianfeng Tang, Yin Ren

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

5 authors.

Shudi ZuoKey Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Jimei Avenue 1799, Xiamen 361021, China. sdzuo@iue.ac.cn.
Shaoqing DaiKey Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Jimei Avenue 1799, Xiamen 361021, China. sqdai@iue.ac.cn.ORCID 0000-0003-0858-4728
Yaying LiNingbo Urban Environment Observation and Research Station-NUEORS, Chinese Academy of Sciences, Ningbo 315800, China. yyli@iue.ac.cn.
Jianfeng TangNingbo Urban Environment Observation and Research Station-NUEORS, Chinese Academy of Sciences, Ningbo 315800, China. jftang@iue.ac.cn.
Yin RenKey Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Jimei Avenue 1799, Xiamen 361021, China. yren@iue.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regional soil quality issues arising from rapid urbanization have received extensive attention. The riverbank that runs through a city is representative of urbanization gradient transformation. Thirty soil samples in the Yangtze River Delta urban agglomeration were collected and analyzed for the concentrations of seven analytes. Correlation, principle component analysis, cluster analysis and GeoDetector models suggested that the four groups (Cr-Ni-Cu, Cu-Zn-As-Sb, Cd and Pb) shared the same sources in the core urban region; five groups (Cr-Ni-Cu-Zn, As, Cd, Sb and Pb) in the suburbs and three groups (Cr-Ni, Cu-Zn-Cd-Sb-Pb and As) in the exurbs. GeoDetector methods not only validated the results of the three other methods, but also provided more possible impact factors. Besides the direct influences, the interaction effects among factors were quantified. Interactive combination with strong nonlinear increment changed from between-two-weak factors in the central region to between-strong-and-weak factors in the suburbs. In the exurbs, the stronger interaction effects were observed between strong and weak factors. Therefore, the GeoDetector model, which provided more detailed information of artificial sources could be used as a tool for identifying the potential factors of toxic elements and offering scientific basis for the development of subsequent pollution reduction strategies.

Indexed as

Models, TheoreticalRiversArsenicChinaCitiesEnvironmental MonitoringMetals, HeavyPrincipal Component AnalysisSoil PollutantsUrbanizationArsenicMetals, HeavySoil PollutantsGeoDetector modelGIS spatial analysis methodprincipal component analysis-multiple linear regression (PCA-MLR)quantitative source apportionmentsoil heavy metals

Identifiers

PMID30287769
PMCPMC6209923

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.