Presented paper

Water Abundance Prediction Method Of Weathered Bedrock Based On Improved AHP And The Entropy Weight Method

Hou, Enke (1); Ji, Zhuochen (1); Che, Xiaoyang (1); Wang, Jianwen (2); Gao, Lijun (2); Tian, Shixiong (2)
1: Xi`an University of Science and Technology, China, People's Republic of; 2: Shenmu Ningtiaota Coal Mining Company Ltd, Shaanxi Coal and Chemical Industry Company Ltd

Paragraph 1:

The Jurassic weathered bedrock aquifer in Northwest China is the main aquifer for filling water in coal mines. The multiple water inrush events in the coal mine are related to the aquifer water-richness .

Paragraph 2:

The south wing of the Ningtiaota coalfield was taken as an example to analyze the controlling factors of water-rich bedrock enrichment. Four indexes are selected to predict water-rich of weathered bedrock such as weathered bedrock top-level index, lithologic association index, weathered index and core rate index. In order to overcome the shortcomings of AHP and entropy weight method in determining the weight of water-rich prediction index, a method is proposed which is calculating the weight of water-rich prediction index by coupling improved AHP and entropy weight method by least square method. Based on the 172 borehole geological data and the data of 41 weathered bedrock pumping tests in the south wing of the Ningtiaota coalfield, a water-rich partition prediction method is proposed. The water-rich zoning prediction and correctness comparison of the south wing of the Ningtiaota coalfield are carried out based on the improved AHP, entropy weight method and the coupling of improved AHP and entropy weight method.

Paragraph 3:

The results show that coupled of improved AHP and the entropy weight method can be used to prediction the water-richness of weathered bedrock accurately.

Paragraph 4:

The research results provide a new method for the evaluation and prediction of aquifer water-richness, which has important application value for the evaluation and prediction of mine water disaster prevention and control.

Presenter:
Room:

IMWA2019 Conference

Genkel st. 4, Perm, Russia, 614990

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