Evidence map›Paper›PMID 36981841›Full record

ArticleInternational journal of environmental research and public health2023

Evaluation of Enterprise Green Mine Construction Based on DPSIR Model.

Wei Yang, Mengge Xue, Yaping Wang, Tao Long, Sha Deng, Bo Deng, Nan Fang

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Article in International journal of environmental research and public health, 2023. 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

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

7 authors.

Wei YangSchool of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.ORCID 0000-0001-6390-3141
Mengge XueSchool of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Yaping WangSchool of Foreign Languages, Baoji University of Arts and Sciences, Baoji 721013, China.
Tao LongSchool of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Sha DengSchool of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Bo DengSchool of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Nan FangSchool of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a new mode of mining development, green mine optimizes the development and utilization of mineral resources with a minimum of the environmental impact, and how to objectively evaluate the construction level of the green mine has become the key to promote green mine construction and it has also been an important path to achieve sustainable development of mineral resources. The evaluation system and methods of green mine construction, however, are not perfect at present as the existing green mine evaluation mostly adopts the index scoring accumulation method, with which the internal relations between the indicators are ignored, and the subjective influence it causes is too large. Based on the framework model of driving forces, pressure, state, impact and response, an indicator system is constructed in this paper to express the internal relationship between indicators more intuitively. Combined with subjective and objective combination weighting method to determine the index weight, TOPSIS and coupling coordination degree models are introduced to quantitatively evaluate the spatio-temporal evolution process of green mine construction and the coupling coordination between subsystems, analyze and obtain the main obstacle factors affecting the green mine construction of enterprises, and provide suggestions and countermeasures for the improvement of green mine construction of enterprises. The applicability of the model is verified by an actual case study of a mine in China. The model enriches the connotation of green mines, making the evaluation process and results fairer and more reliable, thus providing an effective way to promote the sustainable development of mines.

Indexed as

MiningSustainable DevelopmentChinacombination weightingDPSIR framework modelmain obstacle factorssustainable developmentTOPSIS coupling coordination evaluation

Identifiers

PMID36981841
PMCPMC10049308

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