Roof aquifer water abundance evaluation: a case study in Taigemiao, China

Wu, Qiang; Xu, Ke; Zhang, Wei; Zhao, Wei

doi:10.1007/s12517-017-3048-3

Cited by 24 publications

(8 citation statements)

References 13 publications

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“…Wu et al [8,9] analyzed the basic geological information and proposed a water-richness index method. The index weights are defined through the introduction of an artificial neural network and analytic hierarchy process, and the multi-source information is processed by composite superposition to achieve water-richness zoning.…”

Section: Introductionmentioning

confidence: 99%

Water-Richness Zoning Technology of Karst Aquifers at in the Roofs of Deep Phosphate Mines Based on Random Forest Model

Li,

Luo

et al. 2023

Sustainability

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The development of fractures and conduits in karst aquifers and the strength of their water richness are key factors in determining whether a water intrusion will occur in a mine. In the phosphorus mining process, if the mining of water-rich areas is carried out, sudden water disasters can easily occur. Therefore, water-richness zoning of the karst aquifer on the roof of the phosphate mine is very important to protect against the incidence of water disasters in the mine. This paper proposes a random-forest-based partitioning model of the water richness of phosphate mine roofs in karst areas based on the random forest intelligence algorithm in machine learning. Taking a productive phosphate mine in southern China as a typical case, seven main assessment indicators affecting the water richness of the phosphate mine roof aquifer were determined. The proposed random forest model was utilized to determine the weight of each evaluation index, and the water richness of the karst aquifer on the roof of this phosphate mine was studied by zoning. The whole structure of the mine is highly water-rich, with strongly water-rich areas mainly concentrated in the central and northeastern part of the mine. The water-richness fitting rates (WFP) introduced for validation were all in agreement with the evaluation results, and the constructed model met the accuracy requirements. The study’s findings can serve as a guide for mine design and water-disaster warnings in karst regions.

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Section: Introductionmentioning

confidence: 99%

Water-Richness Zoning Technology of Karst Aquifers at in the Roofs of Deep Phosphate Mines Based on Random Forest Model

Li,

Luo

et al. 2023

Sustainability

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“…In terms of risk prediction of the water inrush in working faces in coal mines, the ‘three maps and two predictions method’ and the ‘water-richness index method’ are commonly used for the evaluation of the risk of roof water inrush. − For the evaluation of the risk of water inrush from the floor, a vulnerable index method is often used. − On this basis, Chinese scholars have proposed a large number of evaluation methods and established corresponding engineering geological models and hydrogeological models to assess the risk of water inrush before the drainge. ,,− However, in some cases, water inrush occurred after the drainage. To our best knowledge, few studies on the multifactor evaluation of the risk of water inrush from the roof after drainage have been conducted.…”

Section: Introductionmentioning

confidence: 99%

A Multifactor Quantitative Assessment Model for Safe Mining after Roof Drainage in the Liangshuijing Coal Mine

et al. 2022

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To prevent coal mine roof water damage, the water generally needs to be evacuated in advance. It can be mined with the water inrush risk assessed as safe. However, a single index is often employed in the water safety evaluation after the roof drainage, which causes a large gap between the evaluation results and the actual situation. Therefore, the evaluation cannot be effectively used to guide the safety mining in the working face. In this paper, based on the hydrogeological data of the Liangshuijing coal mine, a multifactor water inrush risk assessment model (IAHP-EWM) and multifactor index system are established for assessing the water inrush risk before and after the roof drainage. The improved AHP method and the entropy weight method are adopted in the model to determine the index weight. This combined way avoids the excessive subjectivity and objectivity of the index weight. A″ Fold undulation degree ( F ud )″ is innovatively proposed to quantify the impact of the spatial relief of folds on water inrush in the multifactor index system. The IAHP-EWM model is applied to evaluate the risk of roof water inrush in the 42205 working face of the Liangshuijing coal mine. The evaluation results show that the water inrush risk is ″high″ when the water is not dredged, and the water inrush risk is ″low″ after the water is dredged, which are consistent with the actual water inflow data and evaluation results, which verifies the accuracy of the model. The application results of the IAHP-EWM model in the 42202, 42203, and 42204 working faces verify its universal applicability in the Liangshuijing mining area. It can provide a reference for the evaluation of the roof water damage control effect during coal seam mining.

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“…The water abundance distribution law of the aquifer is affected by a variety of factors. − At present, the research on the water abundance of the roof aquifer is mainly divided into three methods, that is, geophysical method, pumping test method, and multifactor comprehensive analysis method. − However, the geophysical method and the pumping test method have the disadvantages of high cost, large workload, and interpretation subjectivity. Therefore, the multifactor comprehensive analysis method, which can consider various factors and has been favored by many scholars in recent years − used the analytic hierarchy process (AHP), weighted gray relational degree method, and comprehensive weighting method to study the water abundance zoning of Taigemiao no. 3 coalfield in Inner Mongolia, China; Hou et al used the improved AHP and entropy weight method to study the coupling method to predict and compare the water abundance zone in the south wing of the Ningtiaota minefield.…”

Section: Introductionmentioning

confidence: 99%

Improved Combination Weighted Prediction Model of Aquifer Water Abundance Based on a Cloud Model

et al. 2022

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The sandstone aquifer is an important underground water storage space, and the study of its water abundance is of great significance to ensure the safety of underground engineering and to explore the occurrence mechanism of groundwater sources. Based on the correlation between geological characteristics and aquifer water abundance, this paper proposed an aquifer water abundance prediction model based on a cloud model that improved combination weighting. The model took the roof sandstone aquifer of the Qingshuiying Coalfield as an example and selected five basic geological indicators that are closely related to the water-rich influence degree of the aquifer as evaluation indicators. The model was based on the idea of game theory, combined the analytic hierarchy process (AHP) and the entropy weight method, and introduced the cloud model evaluation method. The establishment of the model was based on the idea of game theory, combining the AHP and the entropy weight method and introducing the cloud model evaluation method. The results show that most of the study areas are located in weak or relatively weak water abundance areas; relatively strong water abundance areas are mainly distributed in the central, western, and southeastern parts of the study; strong water abundance areas are scattered in parts of the northeast, southwest, and southeast. The unit water inflow data of the actual pumping test is consistent with the water-rich prediction partition, which proves the accuracy and scientificity of the method. The model provides a new idea for the study of groundwater geology and a new method for predicting the water abundance of the roof aquifer in coal mines.

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Roof aquifer water abundance evaluation: a case study in Taigemiao, China

Cited by 24 publications

References 13 publications

Water-Richness Zoning Technology of Karst Aquifers at in the Roofs of Deep Phosphate Mines Based on Random Forest Model

Water-Richness Zoning Technology of Karst Aquifers at in the Roofs of Deep Phosphate Mines Based on Random Forest Model

A Multifactor Quantitative Assessment Model for Safe Mining after Roof Drainage in the Liangshuijing Coal Mine

Improved Combination Weighted Prediction Model of Aquifer Water Abundance Based on a Cloud Model

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