Proceedings of the 2016 International Conference on Advances in Energy, Environment and Chemical Science

The Research Of An Attribute Mathematical Model On Aquifer Water-abundance Evaluation

Authors
Dekang Zhao, Yang Wang, Jianjun Shen, Wenping Mu, Honglei Liu
Corresponding Author
Dekang Zhao
Available Online May 2016.
DOI
https://doi.org/10.2991/aeecs-16.2016.19How to use a DOI?
Keywords
Water-abundance; Evaluation; Attribute Mathematical Theory; Similar Weight
Abstract
The aquifer water-abundance evaluation and classification play an important role in the prevention and control of coal mine water disasters. Based on attribute mathematical theory and similar coefficient determining method, this paper propose an attribute mathematical systematically model for the aquifer water-abundance evaluation . This methodology consists of three parts: single index attribute measure analysis, multiple indices attribute measure analysis and attribute recognition analysis. By analyzing the attribute of every single factor index and multiple factor indices measurement, coal seam floor aquifer water-abundance in the study area has been divided into four grades: weak, medium, strong and extremely strong, which has great guiding significance for practical production.
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Proceedings
2016 International Conference on Advances in Energy, Environment and Chemical Science
Part of series
Advances in Engineering Research
Publication Date
May 2016
ISBN
978-94-6252-194-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/aeecs-16.2016.19How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Dekang Zhao
AU  - Yang Wang
AU  - Jianjun Shen
AU  - Wenping Mu
AU  - Honglei Liu
PY  - 2016/05
DA  - 2016/05
TI  - The Research Of An Attribute Mathematical Model On Aquifer Water-abundance Evaluation
BT  - 2016 International Conference on Advances in Energy, Environment and Chemical Science
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/aeecs-16.2016.19
DO  - https://doi.org/10.2991/aeecs-16.2016.19
ID  - Zhao2016/05
ER  -