A GIS-Based Probabilistic Spatial Multicriteria Roof Water Inrush Risk Evaluation Method Considering Decision Makers’ Risk-Coping Attitude

Wang, Dangliang; Gao, Chengyue; Liu, Kerui; Gong, Junling; Fang, Yafei; Xiong, Shi‐Jie

doi:10.3390/w15020254

Cited by 3 publications

(2 citation statements)

References 62 publications

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“…The Formations (Fmts) in the study area, from oldest to youngest, are as follows: Yongping Fmt (T3y), Yan'an Fmt (J2y), Zhiluo Fmt (J2z), Xinjiang Fmt (N2b), Lishi Fmt (Q2l), Salawusu Fmt (Q3 s ), and Quaternary Holocene Aeolian Sand (Q4 eol ). Figure 2 presents the hydrogeological cross-section of the study area [18][19][20][21][22]. The geological structure of the study area is undeveloped, with gentle strata and a dip angle of less than 1 • .…”

Section: Study Area and Datamentioning

confidence: 99%

“…However, these evaluation methods share a common issue in the allocation of weights to evaluation indicators. Specifically, they assign the same weight values to evaluation indicators across all locations within the study area [14][15][16][17][18][19][20][21][22][23]. This implies that existing evaluation methods do not account for the varying relative importance of evaluation indicators at different locations within the study area, resulting from differences in the magnitude of attribute values.…”

Section: Introductionmentioning

confidence: 99%

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Local Water Inrush Risk Assessment Method Based on Moving Window and Its Application in the Liangshuijing Mining Area

Gao,

Wang,

et al. 2024

Water

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Most of the existing coal mine water inrush risk assessment methods are global assessment methods, which have the following problems: they ignore the difference in importance of the evaluation indicators at different locations in the study area and assign the same weight value; the area of the danger zone in the evaluation results is thus too large. The evaluation results improve the prediction accuracy by reducing the safe zone area. To address the aforementioned issues, this study employs a local analysis method based on a moving circular window, taking into account the spatial heterogeneity of criterion indicators in the decision-making process. By traversing each position of the raster with a circular moving window, the method performs local standardization and calculates local weights of indicators within the local window range. Based on the obtained maps of locally standardized evaluation criteria and local weights, a local water inrush risk assessment model is established using Geographic Information Systems (ArcGIS), considering the differences in the importance of evaluation indicators within the study area. Taking the Liangshuijing mining area as an example, both global and local evaluation models were employed to assess its water inrush risk. The evaluation results obtained from these two models were compared and validated against geological survey data and historical water inrush points. The comparative analysis between the two methods reveals that the local evaluation model demonstrates higher accuracy. It offers a more precise delineation of the distribution of water inrush risk zones, which better corresponds to the actual conditions within the mine. The localized water inrush risk assessment method proposed in this paper breaks away from the traditional approach of uniformly weighting evaluation indicators across the entire area, offering a novel method for assessing water inrush risk.

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Section: Study Area and Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Local Water Inrush Risk Assessment Method Based on Moving Window and Its Application in the Liangshuijing Mining Area

Gao,

Wang,

et al. 2024

Water

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The Use of Hydrochemical Zoning to Predict Water Hazards: The Example of the Olkusz-Pomorzany Zn-Pb Mine

Motyka,

Cień,

d‘Obyrn

2024

Mine Water Environ

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A water hazard is one of the greatest dangers in mining and tunneling operations and the issue of predicting water hazard zones has been extensively discussed in the literature. However, the currently used methods require a highly detailed understanding of hydrogeological conditions or have major limitations and often produce unreliable results. This paper describes the use of hydrogeochemical anomalies as an indicator of impending mine water hazard zones. The proposed method uses the concentration of Cl ions in water extracts from Permian rock samples collected from the face of the mine workings. The concentration of Cl ions in the water extracts strongly correlated with the concentration of this ion in the pore solutions extracted from the same rock samples. Additionally, the concentration of Cl ions in the pore solutions exhibited a very strong correlation with the concentration from the Permian leaks. Thus, the decreasing concentration of Cl ions in the water extracts was deemed a reliable signal of an approaching water hazard zone. In the hydrogeological conditions present in the Olkusz-Pomorzany mine, this method enabled the detection of the moment when a water hazard zone was ≈ 200–250 m away.

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GIS-based water inrush risk evaluation of the 10th coal seam floor in Zhuxianzhuang Coal Mine, northern Anhui Province, China

Jiang,

Liu,

Chai

et al. 2024

Water Supply

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The problem of limestone karst water inrush from coal seam floors is becoming more and more prominent, and gradually becoming the focus of water control work in coal mines. Taking the floor of 10th coal seam in the third mining area of Zhuxianzhuang Coal Mine as the research object, seven indicators were identified as the main controlling factors in three aspects, such as aquifer, water barrier, geological structure. Subjective and objective weights were determined by the analytic hierarchy process and the entropy weighting method, and vulnerability zoning evaluation was carried out based on the geographic information system using the vulnerability index method. The study area was classified into five zones based on the graded thresholds calculated by the statistical analysis. The study shows that the area of Taiyuan Formation limestone karst water outburst gradually transitions from the safe zone to the vulnerable zone from the north to the east. This study has a certain guiding effect on the water inrush of Taiyuan Formation limestone karst from the floor of the 10th coal seam in the study area.

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A GIS-Based Probabilistic Spatial Multicriteria Roof Water Inrush Risk Evaluation Method Considering Decision Makers’ Risk-Coping Attitude

Cited by 3 publications

References 62 publications

Local Water Inrush Risk Assessment Method Based on Moving Window and Its Application in the Liangshuijing Mining Area

Local Water Inrush Risk Assessment Method Based on Moving Window and Its Application in the Liangshuijing Mining Area

The Use of Hydrochemical Zoning to Predict Water Hazards: The Example of the Olkusz-Pomorzany Zn-Pb Mine

GIS-based water inrush risk evaluation of the 10th coal seam floor in Zhuxianzhuang Coal Mine, northern Anhui Province, China

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