Evidence map›Paper›PMID 30225692›Full record

ArticleEnvironmental science and pollution research international2018

Analysis of soil risk characteristics by comprehensive assessment in an industrial area of China.

Yang Guan, Chaofeng Shao, Lei Kang, Xin Li, Meiting Ju

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2018. 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

5 authors.

Yang GuanChinese Academy for Environmental Planning, Beijing, 100012, China.
Chaofeng ShaoCollege of Environmental Science and Engineering, Nankai University, 38 Tongyan Road, Jinnan District, Tianjin, 300350, China. Shaocf@nankai.edu.cn.
Lei KangDepartment of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA.
Xin LiChinese Academy for Environmental Planning, Beijing, 100012, China.
Meiting JuCollege of Environmental Science and Engineering, Nankai University, 38 Tongyan Road, Jinnan District, Tianjin, 300350, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil pollution in industrial areas poses a major challenge for China's environmental protection. In this study, comprehensive assessment methodologies for soil risk in industrial areas were developed. The comprehensive assessment covered ecological and human health risks of soil pollution, as well as vulnerability of different types of risk receptors. Comprehensive ecological risk assessment integrated potential ecological risk assessment and landscape vulnerability assessment. Comprehensive social risk assessment specialized human health risk assessment by introducing spatial distribution of population. A typical industrial area in China was studied, and the quantitative and spatial assessments of the comprehensive soil risk were presented. The results showed that the spatial distribution of soil comprehensive ecological and social risks differed. High-risk areas of soil comprehensive ecological risk in the study area were mainly farmlands and nature reserves. Inhabited areas and industrial zones were less affected by comprehensive ecological risk of soil. By contrast, the spatial distribution of soil comprehensive social risk and human activities showed a clear trend of convergence. Vulnerability assessment of the risk receptors provided a suitable complement to the risk assessment of soil pollution.

Indexed as

Environmental MonitoringChinaConservation of Natural ResourcesEcologyEnvironmental PollutionHumansIndustryMetals, HeavyRisk AssessmentRisk FactorsSoilSoil PollutantsMetals, HeavySoilSoil PollutantsComprehensive ecological riskComprehensive social riskIndustrial areaRisk receptorSoil risk

Identifiers

PMID30225692

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.