Improved coal seam floor water inrush vulnerability evaluation method

Abstract

The invention discloses an improved coal seam floor water inrush vulnerability evaluation method. On the basis of determined 'constant-weight weighting' of all main controlling factors, the method further comprises the first step of determining 'variable-weight weighting' of all the main controlling factors, the second step of establishing a floor water inrush vulnerability evaluation model based on the partition variable-weight principle, and the third step of performing evaluation, prediction and partition on coal seam floor water inrush vulnerability. The key technical problems in coal seam floor water inrush vulnerability evaluation and prediction are solved by applying the partition variable-weight principle and model for the first time. The partition variable-weight model not only lays emphasis on the control effect on coal seam floor water inrush by all the main controlling factors but also lays emphasis on the control effect on the coal seam floor water inrush by the mutual incidence relations between all the main controlling factors. Accordingly, the evaluation thought of the partition variable-weight model is more reasonable, the evaluation method is more advanced, and evaluation results are more in line with actual production. By using the method, the defect that each main controlling factor only has one constant weight in the whole research area in the evaluation and prediction process can be overcome, and therefore the evaluation and prediction accuracy of the coal seam floor water inrush can be greatly improved.

Description

technical field [0001] The invention relates to a method for evaluating the water inrush vulnerability of the coal seam floor, in particular to an improved water inrush vulnerability evaluation method for the coal seam floor based on a partition variable weight model. Background technique [0002] For a long time, coal has been one of the main energy sources in our country. Safe, efficient and green coal mining is a major issue related to the development of the national economy and society. However, the geological and hydrogeological conditions of coal mines in my country are generally very complex. The coal reserves threatened by water damage account for about 27% of the proven reserves, and the coal reserves threatened by floor confined water in North China are about 16 billion tons. In addition, at present, many mines have entered into deep mining, and the coal mining elevation of some mines has reached -600m, and the deepest one has exceeded -1000m. The water pressure o...

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Problems solved by technology

[0007] However, the vulnerability index method of the existing technology has the following defects: the determination of the "weight" of each main control factor adopts the information fusion method. Once the "weight" is determined, no matter what the index value of the main control factor is The weight value is fixed in the whole research area, that is, the evaluation method of the vulnerability index of coal seam floor water inrush in the prior art is a "constant weight" based on the information fusion method Model

This "constant weight" floor water inrush vulnerability evaluation model based on the information fusion method cannot describe the control and impact of each single main control factor on the coal seam floor water inrush caused by the sudden change in the index value caused by the change of hydrogeological conditions in the study area. The impact characteristics cannot reveal the "incentive" and "punishment" mechanism of each main control factor in the study area due to the sudden change of index value on the control and influence of coal seam floor water inrush, and it cannot reflect the multiple combination of multiple main control factors. Their relative importance and preference in changing state and their control and influence on coal seam floor water inrush

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