Prediction of Coal Mine Gas Emission Quantity Based on Grey-Gas Geologic Method

Joint Authors

Wei, Wang
Lei, Peng
Xiaochao, Wang

Source

Mathematical Problems in Engineering

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-12-23

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Civil Engineering

Abstract EN

To improve the accuracy and reliability of gas emission prediction, the various factors affecting the amount of gas emission were researched and the main factor determining the amount of gas emission was determined by the gas geology theory.

In this paper, we adopted grey-gas geologic method and grey relevancy analysis separately to estimate forecast accuracy and to establish the grey systematic forecasting model; meanwhile, two residual tests were carried out.

Combined with the concurrent in situ data, the result of the grey systematic prediction model is verified.

The later residual test results indicated that the model is of a high accuracy and the prediction result is reliable, manifesting the method of grey-gas geologic method is a better way to forecast the gas emission.

American Psychological Association (APA)

Wei, Wang& Lei, Peng& Xiaochao, Wang. 2018. Prediction of Coal Mine Gas Emission Quantity Based on Grey-Gas Geologic Method. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1207477

Modern Language Association (MLA)

Wei, Wang…[et al.]. Prediction of Coal Mine Gas Emission Quantity Based on Grey-Gas Geologic Method. Mathematical Problems in Engineering No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1207477

American Medical Association (AMA)

Wei, Wang& Lei, Peng& Xiaochao, Wang. Prediction of Coal Mine Gas Emission Quantity Based on Grey-Gas Geologic Method. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1207477

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1207477