Evidence map›Paper›PMID 28425956›Full record

ArticleInternational journal of environmental research and public health2017

Acceptable Risk Analysis for Abrupt Environmental Pollution Accidents in Zhangjiakou City, China.

Xi Du, Zhijiao Zhang, Lei Dong, Jing Liu, Alistair G L Borthwick, Renzhi Liu

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. 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
1.5field-weighted citation impact, top 12% of its field
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, 6 citations in OpenAlex.

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

6 authors at 2 institutions in 2 countries.

Xi DuState Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China. elena_dx@mail.bnu.edu.cn.
Zhijiao ZhangState Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China. zzhijiao@163.com.
Lei DongState Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China. dl@mail.bnu.edu.cn.
Jing LiuState Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China. 201521180038@mail.bnu.edu.cn.
Alistair G L BorthwickSchool of Engineering, The King's Buildings, The University of Edinburgh, Edinburgh EH9 3JL, UK. Alistair.Borthwick@ed.ac.uk.
Renzhi LiuState Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China. liurenzhi@bnu.edu.cn.
Beijing Normal University · CNUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abrupt environmental pollution accidents cause considerable damage worldwide to the ecological environment, human health, and property. The concept of acceptable risk aims to answer whether or not a given environmental pollution risk exceeds a societally determined criterion. This paper presents a case study on acceptable environmental pollution risk conducted through a questionnaire survey carried out between August and October 2014 in five representative districts and two counties of Zhangjiakou City, Hebei Province, China. Here, environmental risk primarily arises from accidental water pollution, accidental air pollution, and tailings dam failure. Based on 870 valid questionnaires, demographic and regional differences in public attitudes towards abrupt environmental pollution risks were analyzed, and risk acceptance impact factors determined. The results showed females, people between 21-40 years of age, people with higher levels of education, public servants, and people with higher income had lower risk tolerance. People with lower perceived risk, low-level risk knowledge, high-level familiarity and satisfaction with environmental management, and without experience of environmental accidents had higher risk tolerance. Multiple logistic regression analysis indicated that public satisfaction with environmental management was the most significant factor in risk acceptance, followed by perceived risk of abrupt air pollution, occupation, perceived risk of tailings dam failure, and sex. These findings should be helpful to local decision-makers concerned with environmental risk management (e.g., selecting target groups for effective risk communication) in the context of abrupt environmental accidents.

Indexed as

AccidentsAdultAgedAttitudeChinaCitiesDisastersEnvironmental PollutionFemaleHumansLogistic ModelsMaleMiddle AgedPerceptionRisk AssessmentSocioeconomic Factorsenvironmental riskpsychometric paradigmquestionnairerisk acceptancerisk perceptiontailings ponds

Identifiers

PMID28425956
PMCPMC5409643
OpenAlexW2605631521

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.