Evidence map›Paper›PMID 34617218›Full record

ArticleEnvironmental science and pollution research international2022

Investigation of the 60-year relationship between energy consumption and environmental quality in China.

Shaohua Zhao, Honge Feng

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. 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
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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

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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

2 authors.

Shaohua ZhaoMinistry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing, 100094, China.
Honge FengHebei Geological Survey Institute of Hydrological Engineering, Shijiazhuang, 050021, China. fenghonge@foxmail.com.ORCID http://orcid.org/0000-0002-2070-2048

Funding

national key r&d program of china 2017YFB0503905
6 · The paper itself

Abstract

The production and consumption of energy are important driving forces for the economic and social development of a country, and environmental pollution caused by the consumption of energy especially for traditional energy has become a global focus in recent years. This paper analyzes the progress of energy production and consumption in China from 1957 to 2017 and characterizes the correlation between energy consumption and environmental pollution in China. Statistical methods, such as fit regression and gray relevance based on distance, are employed to describe their relations. It is shown that the total amount of energy production and consumption in China has steadily risen. Energy consumption has a strong link with environmental pollution, as demonstrated by its high correlations with the emission of waste gas and the generation of solid waste. The corresponding determination coefficients are 0.99 and 0.98, respectively. The results of the distance-based gray relevancy analysis indicate that, among all the correlations between different industrial wastes, the relation between discharged industrial solid waste and coal combustion is the largest (R = 0.79), while the relation between industrial solid waste and crude oil consumption is the smallest (R = 0.50). Compared to the other two wastes of the industry, energy consumption has the most impact on industrial wastewater, of which the average correlation coefficient is 0.61. The influence of coal combustion on environmental quality is the largest among the various energy consumption activities, with an average correlation coefficient of 0.76. Finally, the paper uses case analysis of remote sensing monitoring for environmental pollution to further discuss environmental problems. This study can provide necessary support for optimizing the domestic structure of energy consumption to further reduce pollution and improve environmental quality in China.

Indexed as

Environmental PollutionIndustrial WasteChinaCoalIndustryWastewaterCoalIndustrial WasteWastewaterConsumptionEmissionPollutionProduction

Identifiers

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Registered trials

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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.