Mine water damage, as one of the major types of mine disasters, occurs frequently, causes severe damage and incurs serious economic losses. In recent years, efforts to prevent and control water hazards have been continuously strengthened, but the situation of mine water hazard prevention and control remains severe. Water inrush hazard assessment is a fundamental prerequisite and important foundation for water hazard prevention and control in mines and for achieving safe mining. As a fundamental task in the prevention and control of roof water hazards in mines, the evaluation results directly determine the scientificity, rationality and effectiveness of the water prevention and control measures taken. In this study, 10 key control indicators were selected to construct an evaluation index system for the water inrush hazard of the coal seam roof aquifer, based on the fuzzy analytic hierarchy process -CRITIC method combined weighting to propose an evaluation model for the water inrush hazard of the coal seam roof, and the zoning results of the water inrush hazard of the coal seam roof were obtained through spatial superimposed coupling calculation. The results show that most of the study area belongs to the relatively safe zone; The dangerous areas are mainly distributed in the northwest region and are affected by various factors such as the thickness of the aquifer and the permeability coefficient; The more dangerous areas are located in the southeast and are more affected by faults; Most of the central area is a transitional zone with a lower risk of water inrush. Verification of the influencing factors, evaluation methods, and evaluation results indicates that the evaluation results are consistent with the actual situation of the mine and are reliable, which can provide guidance for the prevention and control of mine water hazards.

Bingbin Du, Haijun Li, Yao Fan, Shuiqing Zhou, Ziyan Zhang, Yixing Pang, Jiachen Lu. Research on Evaluation of Water Inrush Risk of Coal Seam Roof Based on Weighting of FAHP-CRITIC Combination. Academic Journal of Engineering and Technology Science (2026), Vol. 9, Issue 4: 19-32. https://doi.org/10.25236/AJETS.2026.090403.

[1] Mu Jinxia, Yang Yina, Guo Xiaoshuai, et al. Hazard assessment and water inflow prediction of the roof of 2-3 coal in Gaotouyao Coal Mine [J]. Mining research and development, 2025, (2) : 139-145. The DOI: 10.13827/j.carolcarrollnkikyyk.2025.02.016.

[2] Zhaodan C ,Qixiong G ,Zhen H , et al. Risk assessment of fault water inrush during deep mining[J].International Journal of Mining Science and Technology, 2022, 32 (2) : 423-434. The DOI: 10.1016 / J.I JMST. 2022.01.005.

[3] Dong Shuning. Technology and Application of Water Hazard Control in Coal mines [C]// Geological Society of China, Coalfield Geology Professional Committee of China Coal Society, Water Hazard Control Professional Committee of China Coal Industry Labor Protection Science and Technology Society. Safe and Efficient Coal mine geological Assurance technology and Application - Proceedings of the Academic Annual Conference of the Geological Society of China, the Coal Geology Professional Committee of the China Coal Society, and the Water Hazard Prevention Professional Committee of the China Coal Industry Labor Protection Science and Technology Society. China Coal Industry Press,2007:13-21.

[4] Dong Shuning. Application of Artificial Intelligence Technology in the Intelligent Development of Water Hazard Prevention and Control in Coal Mines [J]. Coal mine safety, 2023, (5) : 1-12. DOI: 10.13347/j.carolcarrollnkimkaq.2023.05.002.

[5] Wu Qiang, Guo Xiaoming, Bian Kai, et al. Coal mine water hazards in census factors to carry out flood prevention accident [J]. Journal of China coal, 2023,49 (1) : 3-15. DOI:10.19880/j.carolcarrollnki CCM. 2023.01.001.

[6] Qu Wei, Li Bo, Li Hengkai, et al. Research on Water Hazard Assessment Method of Coal Seam Roof in Southwest Karst Area Based on Fuzzy Analytic Hierarchy Process [J]. Mining Safety and Environmental Protection,2014,41(4):59-62.

[7] Qiu Mei, Zhao Jianfei, Shao Zhendong, et al. Evaluation of the risk of water inburst in coal seam floor based on combined weighting method and vulnerability index model [J]. Coal Engineering, 2020,57 (1):160-168.

[8] Cui Fangpeng, Wu Qiang, Lin Yuanhui, et al. Technology and method of research for the prevention and control of coal mine water hazards in China [J]. Journal of mining science, 2018, 3 (3) : 219-228. The DOI: 10.19606 / j.carol carroll nki JMST. 2018.03.002.

[9] Yao Yi, Shi Liang, He Liang, et al. Discussion on hydrogeological conditions and flood Hazards of Deep Extension Succession Project in Qingping Phosphate Mine [J]. Acta Geologica Sinica of Sichuan, 2025,45(1):89-95.

[10] Zhou Quanchao, Wang Dandan, Dang Zhiwei, et al. Prediction methods and comparative analysis of mine water inflow: A Case study of Donggou Coal Mine in Xinjiang [J]. Coal Science and Technology,2024,52(S1):211-220.

[11] Hou Enke, Long Tianwen, Fan Zhigang. Prediction of water inflow in the working face of Wenjiapo Coal Mine by analytical method [J]. Mining Safety and Environmental Protection,2019,46 (5):80-84.

[12] Song W, Liang Z. Investigation on failure characteristics and water inrush risk of inclined floor mining above confined aquifer[J]. Rock Soil Mech, 2020, 41(2): 624-634.

[13] Ahmed R, Rawat M, Wani G F, et al. Glacial lake outburst flood hazard and risk assessment of Gangabal Lake in the Upper Jhelum Basin of Kashmir Himalaya using geospatial technology and hydrodynamic modeling[J]. Remote Sensing, 2022, 14(23): 5957.

[14] Hou Fujin, Zhang Li, Jiang Qing, et al. Based on CDEM bedding joint water rock pillars hydraulic fracturing features study [J]. Journal of tunnel and underground engineering disasters prevention and control, 2021, 3 (3) : 76-84. The DOI: 10.19952 / j.carol carroll nki. 2096-5052.2021.03.08.

[15] Qiu Wenge, Huang Haiyun, Yan Fei-yue, et al. Based on energy principle of saturated sand layer covering the tunnel water inrush disaster [J]. Journal of tunnel and underground engineering disasters prevention and control, 2021, 3 (1) : 1-11. DOI: 10.19952 / j.carol carroll nki. 2096-5052.2021.01.01.

[16] Lu Xingzhou, Yang Dengfeng, Wang Bo, et al. Simulation of water inrush process and key disaster-causing factors of roadway floor under static and dynamic loading [J]. Science Technology and Engineering, 2024,24 (29):12506-12515.

[17] Cao Z, Zhang S, Du F, et al. Water inrush mechanism and variable mass seepage of karst collapse columns based on a nonlinear coupling mechanical model[J]. Mine Water and the Environment, 2025, 44(2): 259-274.

[18] Li Y, Wang Y, Zhang J, et al. Study on mesoscopic mechanism of water inrush in foundation pit based on discrete element method[J]. Computational Particle Mechanics, 2025, 12(1): 613-630.

[19] Guo Xinshan, Shi Longqing. Quantitative analysis of fault Inwater hazard based on fault influencing factors and fault fractal dimension characteristics [J]. Journal of Shandong University (Engineering and Technology Edition),2014,44(5):58-64.

[20] Chen Xi, Li Siyu, Bian Kai, et al. Based on quantificating EWM combination weights of water inrush risk assessment study [J]. Journal of coal mine safety, 2024 (2) : 184-193. The DOI: 10.13347 / j.carol carroll nki mkaq. 20222184.

[21] Xue Jiankun. Application of water abundance Index Method Based on Fractal Theory in Water Abundance Evaluation of Aquifers [J]. Ploidy of coal mine safety, 2020 (2) : 197-201. The DOI: 10.13347 / j.carol carroll nki mkaq. 2020.02.044.

[22] Yan Xin, Ding Xiang, Pu Zhiguo, et al. Zonal control of water hazards in Working faces Based on AHP-CRITIC Hazard assessment of Ao-gray water inrush [J]. China Mining, 24,33(12):217-225.

[23] Karan K S ,Samadder R S ,Singh V .Groundwater vulnerability assessment in degraded coal mining areas using the Ahp-modified DRASTIC model[J].Land Degradation & Development, 2018, 29(8):2351-2365.

[24] Sheng D, Tan F, Zhang Y, et al. Safety risk assessment of weak tunnel construction with rich groundwater using an improved weighting cloud model[J]. Scientific Reports, 2025, 15(1): 16036.

[25] Zhang G, Xue Y, Bai C, et al. Risk assessment of floor water inrush in coal mines based on MFIM-TOPSIS variable weight model[J]. Journal of Central South University, 2021, 28(8): 2360-2374.

[26] Shi Longqing, Zhang Rong 'ao, Han Jin, et al. Evaluation of water inrush hazard based on entropy weight method - analytic hierarchy Process Coupled weighting of multi-source information fusion [J]. Journal of henan university of technology (natural science edition), 2020, 33 (3) 6:17-25, DOI: 10.16186 / j.carol carroll nki. 1673-9787.2020.3.3.

[27] Tian Yi, Shu Shihai, Ren Jianjun, et al. Mine Fire Hazard assessment based on AHP-TOPSIS method [J]. Coal,2024,33(2):18-23.

[28] Yang Zhu, Liang Jinxi, Teng Long, et al. Evaluation of Risk of water inrush in Deep mines based on DEMATEL-AHP and entropy weight method [J/OL]. Safety and environmental engineering, 1-12 [2026-06-22]. HTTP: / / https://doi.org/10.13578/j.cnki.issn.1671-1556.20260051.

[29] Yang Tongfei, Zhang Aiwei, Xia Ronghui, et al. Evaluation of Hazard levels of water inrush in Deep mining based on AHP-entropy weight method and GIS [J]. Shanxi metallurgy, 2024,47 (11) : 133-137. The DOI: 10.16525 / j.carol carroll nki cn14-1167 / tf. 2024.11.046.

[30] Liu Mengqi, Wang Laibin, Lin Zheng. Based on PCA - ISSA - BP model of mine water inrush water discriminant [J]. Journal of coal mine safety, 2023, (11) : 179-187. The DOI: 10.13347 / j.carol carroll nki mkaq. 2023.11.024.

[31] Shi Longqing, Zhang Rong 'ao, Xu Dongjing, et al. GWO comes - Elman neural network based inrush prediction [J]. Journal of coal, 2020, (7) : 2455-2463. The DOI: 10.13225 / j.carol carroll nki JCCS. DZ20.0716.

[32] Ren Shengwen. Big mining deep coal seam weak cementation layer thick conglomerate dyke water inrush disasters research [J]. Journal of coal science and technology, 2019,47 (9) : 249-255. The DOI: 10.13199 / j.carol carroll nki CST. 2019.09.032.

[33] Zeng Yifan, Li Zhe, Gong Houjian, et al. Water-rich characteristics and flood hazard prediction of roof weathering bedrock aquifers [J]. Coal Engineering,2018,50(2):100-104.

[34] Cunha-Zeri G, Guidolini J F, Branco E A, et al. How sustainable is the nitrogen management in Brazil? A sustainability assessment using the Entropy Weight Method[J]. Journal of Environmental Management, 2022, 316: 115330.

[35] Qin Yuanli, Zhang Xunli, Gao Guiqing, et al. Effectiveness evaluation of anti-ship missile Combat system based on ANP-entropy weight method [J]. Journal of Ordnance Equipment Engineering, 2020,41(5):48-53.

[36] Yue Xin, Tang Xiao, Wang Shuo, et al. Analysis and evaluation of spatio-temporal characteristics of climate comfort in Guizhou Province based on AHP-CRITIC model [J]. Plateau Meteorology, 2026,45(3):744-757.

[37] Liu Yumei, Liu Ming, Li Zongyao, et al. Improved FMECA method for EMU Traction System Based on FAHP-MEREC [J/OL]. Journal of railway science and engineering, 1-16 [2026-06-22]. https://doi.org/10.19713/j.cnki.43-1423/u.T20251588.