Evidence map›Paper›PMID 28336966›Full record

ArticleScientific reports2017

An Integrated H-G Scheme Identifying Areas for Soil Remediation and Primary Heavy Metal Contributors: A Risk Perspective.

Bin Zou, Xiaolu Jiang, Xiaoli Duan, Xiuge Zhao, Jing Zhang, Jingwen Tang, Guoqing Sun

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Phytoremediation of toxic metals present in soil and water environment: a critical review.Environmental science and pollution research international · 2020
    Review
  5. Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient.International journal of environmental research and public health · 2018
    Article
  6. Pollution assessment of heavy metal accumulation in the farmland soils of Beijing's suburbs.Environmental science and pollution research international · 2018
    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

7 authors.

Bin ZouKey Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, Changsha, Hunan, 410083, China. 210010@csu.edu.cn.
Xiaolu JiangSchool of Geosciences and Info-Physics, Central South University, Changsha, Hunan, 410083, China.
Xiaoli DuanSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Xiuge ZhaoState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Jing ZhangSchool of Geosciences and Info-Physics, Central South University, Changsha, Hunan, 410083, China.
Jingwen TangKey Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, Changsha, Hunan, 410083, China.
Guoqing SunHunan provincial communications planning, survey and design institute, Changsha, Hunan, 410008, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional sampling for soil pollution evaluation is cost intensive and has limited representativeness. Therefore, developing methods that can accurately and rapidly identify at-risk areas and the contributing pollutants is imperative for soil remediation. In this study, we propose an innovative integrated H-G scheme combining human health risk assessment and geographical detector methods that was based on geographical information system technology and validated its feasibility in a renewable resource industrial park in mainland China. With a discrete site investigation of cadmium (Cd), arsenic (As), copper (Cu), mercury (Hg) and zinc (Zn) concentrations, the continuous surfaces of carcinogenic risk and non-carcinogenic risk caused by these heavy metals were estimated and mapped. Source apportionment analysis using geographical detector methods further revealed that these risks were primarily attributed to As, according to the power of the determinant and its associated synergic actions with other heavy metals. Concentrations of critical As and Cd, and the associated exposed CRs are closed to the safe thresholds after remediating the risk areas identified by the integrated H-G scheme. Therefore, the integrated H-G scheme provides an effective approach to support decision-making for regional contaminated soil remediation at fine spatial resolution with limited sampling data over a large geographical extent.

Indexed as

CarcinogensChinaHumansMetals, HeavyRisk AssessmentSoilSoil PollutantsSpatial AnalysisCarcinogensMetals, HeavySoilSoil Pollutants

Identifiers

PMID28336966
PMCPMC5428519

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.