Evidence map›Paper›PMID 30720797›Full record

ArticleInternational journal of environmental research and public health2018

Mercury Pollution, Treatment and Solutions in Spent Fluorescent Lamps in Mainland China.

Zhongguo Li, Puqi Jia, Fu Zhao, Yikun Kang

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

4 authors.

Zhongguo LiCollege of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China. zgli@lzu.edu.cn.
Puqi JiaCollege of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China. jpq@lzu.edu.cn.
Fu ZhaoSchool of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA. fzhao@purdue.edu.
Yikun KangEngineering Laboratory for Municipal Waste Pollution Control Technology and Equipment Research, Lanzhou 730000, China. qq332929861@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasing awareness of energy conservation and environmental protection, high energy-consuming incandescent lamps have been largely withdrawn from the stage of mainland China's lighting industry because the main raw material for electricity production-coal-produces mercury pollution when burned and energy-saving fluorescent lamps have made considerable progress. However, fluorescent lamps emit mercury, which still causes environmental pollution. In this work, the existing problems in the development of fluorescent lamps, and in the collection and treatment of spent fluorescent lamps were analyzed. The contributions of various external factors to the above problems were evaluated based on fuzzy theory. Finally, solutions to control the pollution of mercury from fluorescent lamps and spent fluorescent lamps were proposed. Results show that the biggest problem that causes mercury pollution is the first among three factors: energy conservation and mercury emission from fluorescent lamps and spent fluorescent lamps, spent fluorescent lamp collection and spent fluorescent lamp treatment. The best way to solve these problems is by developing an energy-saving and environment-friendly light emitting diode (LED) industry in mainland China.

Indexed as

Household ArticlesChinaConservation of Natural ResourcesEnvironmental PollutionLightingMercuryRefuse DisposalMercuryfluorescent lampsLEDmainland Chinamercury pollutionspent fluorescent lampstreatment

Identifiers

PMID30720797
PMCPMC6313605

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.