{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:36:21Z","timestamp":1772908581937,"version":"3.50.1"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T00:00:00Z","timestamp":1757116800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T00:00:00Z","timestamp":1757116800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Huiyong Yin","award":["No. 2017YFC0804100"],"award-info":[{"award-number":["No. 2017YFC0804100"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Earth Sci Inform"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1007\/s12145-025-01973-z","type":"journal-article","created":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T20:21:50Z","timestamp":1757190110000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Dynamic evaluation of water inrush potential in ultra-wide working face mining on confined aquifer driven by geophysical data"],"prefix":"10.1007","volume":"18","author":[{"given":"Huiyong","family":"Yin","sequence":"first","affiliation":[]},{"given":"Hongxu","family":"Ren","sequence":"additional","affiliation":[]},{"given":"Fangying","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Weifu","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Daolei","family":"Xie","sequence":"additional","affiliation":[]},{"given":"Lifeng","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Tao","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,9,6]]},"reference":[{"key":"1973_CR1","doi-asserted-by":"publisher","first-page":"1889","DOI":"10.1007\/s00603-015-0884-x","volume":"49","author":"S Aghababaei","year":"2016","unstructured":"Aghababaei S, Saeedi G, Jalalifar H (2016) Risk analysis and prediction of floor failure mechanisms at longwall face in Parvadeh-I coal mine using rock engineering system (RES). Rock Mech Rock Eng 49:1889\u20131901. https:\/\/doi.org\/10.1007\/s00603-015-0884-x","journal-title":"Rock Mech Rock Eng"},{"issue":"1","key":"1973_CR2","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1007\/s12652-021-03304-8","volume":"14","author":"S Chakraborty","year":"2023","unstructured":"Chakraborty S, Saha AK, Sharma S, Chakraborty R, Debnath S (2023) A hybrid whale optimization algorithm for global optimization. J Ambient Intell Humaniz Comput 14(1):431\u2013467. https:\/\/doi.org\/10.1007\/s12652-021-03304-8","journal-title":"J Ambient Intell Humaniz Comput"},{"issue":"5","key":"1973_CR3","doi-asserted-by":"publisher","first-page":"2977","DOI":"10.1109\/TII.2019.2901856","volume":"16","author":"JH Chang","year":"2020","unstructured":"Chang JH, Su BY, Malekian R, Xing XJ (2020) Detection of Water-Filled Mining Goaf Using Mining Transient Electromagnetic Method. IEEE Trans Industr Inf 16(5):2977\u20132984. https:\/\/doi.org\/10.1109\/TII.2019.2901856","journal-title":"IEEE Trans Industr Inf"},{"key":"1973_CR4","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1007\/s12665-023-11398-w","volume":"83","author":"M Cui","year":"2024","unstructured":"Cui M, Huang P, Hu Y, Chai SW, Zhang YN, Li YM (2024) Application of dynamic weight in coal mine water inrush source identification. Environ Earth Sciences 83:69. https:\/\/doi.org\/10.1007\/s12665-023-11398-w","journal-title":"Environ Earth Sciences"},{"key":"1973_CR5","doi-asserted-by":"publisher","first-page":"549","DOI":"10.1016\/j.neunet.2023.09.039","volume":"168","author":"A Deihim","year":"2023","unstructured":"Deihim A, Alonso E, Apostolopoulou D (2023) STTRE: a spatio-temporal transformer with relative embeddings for multivariate time series forecasting. Neural Netw 168:549\u2013559. https:\/\/doi.org\/10.1016\/j.neunet.2023.09.039","journal-title":"Neural Netw"},{"key":"1973_CR6","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.envsoft.2015.12.011","volume":"77","author":"A Delgado","year":"2016","unstructured":"Delgado A, Romero I (2016) Environmental conflict analysis using an integrated grey clustering and entropy-weight method: A case study of a mining project in Peru. Environ Model Softw 77:108\u2013121. https:\/\/doi.org\/10.1016\/j.envsoft.2015.12.011","journal-title":"Environ Model Softw"},{"key":"1973_CR7","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1016\/j.psep.2021.06.005","volume":"152","author":"P Dey","year":"2021","unstructured":"Dey P, Chaulya SK, Kumar S (2021) Hybrid CNN-LSTM and IoT-based coal mine hazards monitoring and prediction system. Process Saf Environ Prot 152:249\u2013263. https:\/\/doi.org\/10.1016\/j.psep.2021.06.005","journal-title":"Process Saf Environ Prot"},{"issue":"2","key":"1973_CR8","doi-asserted-by":"publisher","first-page":"134954","DOI":"10.1016\/j.jclepro.2022.134954","volume":"380","author":"FY Dong","year":"2022","unstructured":"Dong FY, Yin HY, Cheng WJ, Li YJ, Qiu M, Zhang CW, Tang RQ, Xu GL, Zhang LF (2022) Study on water inrush pattern of Ordovician limestone in North China Coalfield based on hydrochemical characteristics and evolution processes: a case study in Binhu and Wangchao Coal Mine of Shandong Province. China J Clean Prod 380(2):134954. https:\/\/doi.org\/10.1016\/j.jclepro.2022.134954","journal-title":"China J Clean Prod"},{"key":"1973_CR9","doi-asserted-by":"publisher","first-page":"104806","DOI":"10.1016\/j.jappgeo.2022.104806","volume":"206","author":"QY Dong","year":"2022","unstructured":"Dong QY, Cheng JL, Li F, Xue JJ, Dong Y, Wen LF (2022) Fine detection of water-bearing collapse column based on information fusion of seismic exploration and TEM. J Appl Geophys 206:104806. https:\/\/doi.org\/10.1016\/j.jappgeo.2022.104806","journal-title":"J Appl Geophys"},{"key":"1973_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jappgeo.2023.105136","volume":"216","author":"FY Dong","year":"2023","unstructured":"Dong FY, Yin HY, Feng QF, Li S, Zhou W, Cheng WJ, Qiu M, Shi YL, Jia CW (2023) A new insight of water inrush mode and coal (rock) pillars setting in near-fault mining under high confined water. J Appl Geophys 216:105136. https:\/\/doi.org\/10.1016\/j.jappgeo.2023.105136","journal-title":"J Appl Geophys"},{"key":"1973_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2023.130200","volume":"290","author":"FY Dong","year":"2024","unstructured":"Dong FY, Yin HY, Cheng WJ, Zhang C, Zhang DY, Ding HX, Lu C, Wang Y (2024) Quantitative prediction model and prewarning system of water yield capacity (WYC) from coal seam roof based on deep learning and joint advanced detection. Energy 290:130200. https:\/\/doi.org\/10.1016\/j.energy.2023.130200","journal-title":"Energy"},{"key":"1973_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jappgeo.2022.104717","volume":"203","author":"YN Fan","year":"2022","unstructured":"Fan YN, Lu KL, Li X, Qi ZP, Ma J, Fan KR (2022) Mapping coal water-filled zones using multi-radiation source transient electromagnetic pseudo-seismic Born approximation imaging and apparent resistivity imaging in Gansu. China Journal of Applied Geophysics 203:104717. https:\/\/doi.org\/10.1016\/j.jappgeo.2022.104717","journal-title":"China Journal of Applied Geophysics"},{"key":"1973_CR13","doi-asserted-by":"publisher","unstructured":"Ghobadi MH, Stakhri MDA, Mirarabi A (2018) Investigating the hydrogeological properties of springs in a karstic aquifer in Dorfak region (Guilan Province, Iran). Environmental Earth Sciences 77(3):96. https:\/\/doi.org\/10.1007\/s12665-018-7270-4.DOI:10.1016\/j.jclepro.2022.134954","DOI":"10.1007\/s12665-018-7270-4.DOI:10.1016\/j.jclepro.2022.134954"},{"issue":"10","key":"1973_CR14","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1007\/s12665-019-8301-5","volume":"78","author":"Y Hu","year":"2019","unstructured":"Hu Y, Li W, Wang Q et al (2019) Evaluation of water inrush risk from coal seam floors with an AHP\u2013EWM algorithm and GIS. Environ Earth Sci 78(10):290. https:\/\/doi.org\/10.1007\/s12665-019-8301-5","journal-title":"Environ Earth Sci"},{"issue":"1","key":"1973_CR15","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1007\/s42461-024-00918-2","volume":"41","author":"LG Kang","year":"2024","unstructured":"Kang LG (2024) The Impact of the Chinese Coal Economy on Coal Mine Deaths from 1992 to 2021. Mining, Metallurg Explor 41(1):207\u2013218. https:\/\/doi.org\/10.1007\/s42461-024-00918-2","journal-title":"Mining, Metallurg Explor"},{"issue":"1","key":"1973_CR16","doi-asserted-by":"publisher","first-page":"96","DOI":"10.3390\/w12010096","volume":"12","author":"N Kimura","year":"2020","unstructured":"Kimura N, Yoshinaga I, Sekijima K, Azechi I, Baba D (2020) Convolutional neural network coupled with a transfer-learning approach for time-series flood predictions. Water 12(1):96. https:\/\/doi.org\/10.3390\/w12010096","journal-title":"Water"},{"key":"1973_CR17","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.jngse.2019.01.019","volume":"64","author":"M Lak","year":"2019","unstructured":"Lak M, Marji MF, Bafghi AY, Abdollahipour A (2019) A coupled finite difference-boundary element method for modeling the propagation of explosion-induced radial cracks around a well bore. J Nat Gas Sci Eng 64:41\u201351. https:\/\/doi.org\/10.1016\/j.jngse.2019.01.019","journal-title":"J Nat Gas Sci Eng"},{"issue":"2","key":"1973_CR18","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/s13146-014-0204-7","volume":"29","author":"JW LaMoreaux","year":"2014","unstructured":"LaMoreaux JW, Wu Q, Zhou WF (2014) New development in theory and practice in mine water control in China. Carbonates Evaporites 29(2):141\u2013145. https:\/\/doi.org\/10.1007\/s13146-014-0204-7","journal-title":"Carbonates Evaporites"},{"issue":"8","key":"1973_CR19","doi-asserted-by":"publisher","first-page":"1511","DOI":"10.1007\/s10040-012-0894-7","volume":"20","author":"S Lee","year":"2012","unstructured":"Lee S, Song KY, Kim Y, Park I (2012) Regional groundwater productivity potential mapping using a geographic information system (GIS) based artificial neural network model. Hydrogeol J 20(8):1511\u20131527. https:\/\/doi.org\/10.1007\/s10040-012-0894-7","journal-title":"Hydrogeol J"},{"key":"1973_CR20","doi-asserted-by":"publisher","first-page":"1299","DOI":"10.1007\/s10040-021-02305-3","volume":"29","author":"Q Li","year":"2021","unstructured":"Li Q, Sui W (2021) Risk evaluation of mine-water inrush based on principal component logistic regression analysis and an improved analytic hierarchy process. Hydrogeol J 29:1299\u20131311. https:\/\/doi.org\/10.1007\/s10040-021-02305-3","journal-title":"Hydrogeol J"},{"issue":"3","key":"1973_CR21","doi-asserted-by":"publisher","first-page":"1493","DOI":"10.1007\/s10706-018-0702-9","volume":"37","author":"Q Li","year":"2019","unstructured":"Li Q, Meng XX, Liu YB, Pang LF (2019) Risk Assessment of Floor Water Inrush Using Entropy Weight and Variation Coefficient Model. Geotech Geol Eng 37(3):1493\u20131501. https:\/\/doi.org\/10.1007\/s10706-018-0702-9","journal-title":"Geotech Geol Eng"},{"issue":"21","key":"1973_CR22","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1007\/s12665-020-09242-6","volume":"79","author":"LN Li","year":"2020","unstructured":"Li LN, Xie DL, Wei JC, Yin HY, Li GH, Man XQ, Zhang WJ (2020) Analysis and control of water inrush under high-pressure and complex karstic water-filling conditions. Environ Earth Sci 79(21):493. https:\/\/doi.org\/10.1007\/s12665-020-09242-6","journal-title":"Environ Earth Sci"},{"key":"1973_CR23","doi-asserted-by":"publisher","first-page":"454","DOI":"10.1016\/j.psep.2022.10.013","volume":"168","author":"LN Li","year":"2022","unstructured":"Li LN, Li WP, Wang QQ (2022) Prediction and zoning of the impact of underground coal mining on groundwater resources. Process Saf Environ Prot 168:454\u2013462. https:\/\/doi.org\/10.1016\/j.psep.2022.10.013","journal-title":"Process Saf Environ Prot"},{"key":"1973_CR24","doi-asserted-by":"publisher","first-page":"1879","DOI":"10.1007\/s12145-023-00985-x","volume":"16","author":"B Li","year":"2023","unstructured":"Li B, Wu H, Liu P, Fan J, Li T (2023) Construction and application of mine water inflow prediction model based on multi-factor weighted regression: Wulunshan Coal Mine case. Earth Sci Inf 16:1879\u20131890. https:\/\/doi.org\/10.1007\/s12145-023-00985-x","journal-title":"Earth Sci Inf"},{"key":"1973_CR25","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1007\/s12145-022-00898-1","volume":"16","author":"Q Li","year":"2023","unstructured":"Li Q, Lu C, Zhao H (2023) Risk assessment of floor water inrush based on TOPSIS combined weighting model: a case study in a coal mine. China Earth Sci Inform 16:565\u2013578. https:\/\/doi.org\/10.1007\/s12145-022-00898-1","journal-title":"China Earth Sci Inform"},{"key":"1973_CR26","doi-asserted-by":"publisher","first-page":"111059","DOI":"10.1016\/j.ecolind.2023.111059","volume":"155","author":"YJ Li","year":"2023","unstructured":"Li YJ, Yin HY, Dong FY, Cheng WJ, Zhou W, Feng QF, Xie DL, Wang JC (2023) Study on potential groundwater yield zone in sandstone aquifer based on a dual dynamic variable weight model: A case study in Shuangma Coal Mine of Ordos Basin. Ecol Ind 155:111059. https:\/\/doi.org\/10.1016\/j.ecolind.2023.111059","journal-title":"Ecol Ind"},{"issue":"5","key":"1973_CR27","doi-asserted-by":"publisher","first-page":"2799","DOI":"10.1007\/s10706-018-0502-2","volume":"36","author":"WT Liu","year":"2018","unstructured":"Liu WT, Li Q, Zhao JY (2018) Application on Floor Water Inrush Evaluation Based on AHP Variation Coefficient Method with GIS. Geotech Geol Eng 36(5):2799\u20132808. https:\/\/doi.org\/10.1007\/s10706-018-0502-2","journal-title":"Geotech Geol Eng"},{"key":"1973_CR28","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.coal.2012.04.005","volume":"98","author":"A Majdi","year":"2012","unstructured":"Majdi A, Hassani FP, Nasiri MY (2012) Prediction of the height of destressed zone above the mined panel roof in longwall coal mining. Int J Coal Geol 98:62\u201372. https:\/\/doi.org\/10.1016\/j.coal.2012.04.005","journal-title":"Int J Coal Geol"},{"key":"1973_CR29","volume-title":"Coal Mine Water Prevention and Control Regulations","author":"National Coal Mine Safety Administration","year":"2018","unstructured":"National Coal Mine Safety Administration (2018) Coal Mine Water Prevention and Control Regulations. Emergency Management Press, Beijing"},{"issue":"10","key":"1973_CR30","doi-asserted-by":"publisher","first-page":"8564","DOI":"10.1016\/j.jksuci.2021.08.031","volume":"34","author":"K Panimalar","year":"2021","unstructured":"Panimalar K, Kanmani S (2021) Energy efficient cluster head selection using improved Sparrow Search Algorithm in Wireless Sensor Networks. J King Saud Univ - Comput Inform Sci 34(10):8564\u20138575. https:\/\/doi.org\/10.1016\/j.jksuci.2021.08.031","journal-title":"J King Saud Univ - Comput Inform Sci"},{"issue":"1","key":"1973_CR31","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/0377-2217(90)90057-I","volume":"48","author":"TL Saaty","year":"1990","unstructured":"Saaty TL (1990) How to make a decision: The analytic hierarchy process. Eur J Oper Res 48(1):9\u201326. https:\/\/doi.org\/10.1016\/0377-2217(90)90057-I","journal-title":"Eur J Oper Res"},{"issue":"15","key":"1973_CR32","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s12517-019-4586-7","volume":"12","author":"LQ Shi","year":"2019","unstructured":"Shi LQ, Wang Y, Qiu M, Gao WF, Zhai PH (2019) Application of three-dimensional high-density resistivity method in roof water advanced detection during working stope mining. Arab J Geosci 12(15):1\u201310. https:\/\/doi.org\/10.1007\/s12517-019-4586-7","journal-title":"Arab J Geosci"},{"issue":"3","key":"1973_CR33","doi-asserted-by":"publisher","first-page":"1135","DOI":"10.1007\/s10706-018-0673-x","volume":"37","author":"WB Sun","year":"2019","unstructured":"Sun WB, Xue YC (2019) An Improved Fuzzy Comprehensive Evaluation System and Application for Risk Assessment of Floor Water Inrush in Deep Mining. Geotech Geol Eng 37(3):1135\u20131145. https:\/\/doi.org\/10.1007\/s10706-018-0673-x","journal-title":"Geotech Geol Eng"},{"issue":"2","key":"1973_CR34","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1007\/s40948-022-00356-8","volume":"8","author":"YT Sun","year":"2022","unstructured":"Sun YT, Bi RY, Sun JB, Zhang JF, Taherdangkoo R, Huang JD, Li GC (2022) Stability of roadway along hard roof goaf by stress relief technique in deep mines: a theoretical, numerical and field study. Geomech Geophys Geo-Energ Geo-Resourc 8(2):45. https:\/\/doi.org\/10.1007\/s40948-022-00356-8","journal-title":"Geomech Geophys Geo-Energ Geo-Resourc"},{"issue":"10475","key":"1973_CR35","doi-asserted-by":"publisher","first-page":"10475","DOI":"10.3390\/su141710475","volume":"17","author":"ZM Sun","year":"2022","unstructured":"Sun ZM, Bao WP, Li M (2022) Comprehensive Water Inrush Risk Assessment Method for Coal Seam Roof. Sustainability 17(10475):10475. https:\/\/doi.org\/10.3390\/su141710475","journal-title":"Sustainability"},{"key":"1973_CR36","doi-asserted-by":"publisher","unstructured":"Tian SC, Wang YJ, Li HX, Ma T, Mao JR, Ma L (2024) Analysis of the causes and safety countermeasures of coal mine accidents: A case study of coal mine accidents in China from 2018 to 2022. Process Safet Environ Protect. ISSN 0957\u20135820. https:\/\/doi.org\/10.1016\/j.psep.2024.04.137","DOI":"10.1016\/j.psep.2024.04.137"},{"issue":"12","key":"1973_CR37","doi-asserted-by":"publisher","first-page":"206","DOI":"10.13199\/j.cnki.cst.2020-1573","volume":"50","author":"XM Wang","year":"2022","unstructured":"Wang XM, Liu YF, Nan SH, Guo K, Shang R (2022) Analysis of inclined failure characteristics of floor along working face in Ordovician limestone confined water stope. Meitan Kexue Jishu 50(12):206\u2013214. https:\/\/doi.org\/10.13199\/j.cnki.cst.2020-1573","journal-title":"Meitan Kexue Jishu"},{"issue":"10","key":"1973_CR38","doi-asserted-by":"publisher","first-page":"3331","DOI":"10.1007\/s11269-016-1352-4","volume":"30","author":"Q Wu","year":"2016","unstructured":"Wu Q, Li B, Chen YL (2016) Vulnerability Assessment of Groundwater Inrush from Underlying Aquifers Based on Variable Weight Model and its Application. Water Resour Manage 30(10):3331\u20133345. https:\/\/doi.org\/10.1007\/s11269-016-1352-4","journal-title":"Water Resour Manage"},{"key":"1973_CR39","doi-asserted-by":"publisher","first-page":"2089","DOI":"10.1007\/s10040-017-1614-0","volume":"25","author":"Q Wu","year":"2017","unstructured":"Wu Q, Zhao DK, Wang Y, Shen JJ, Mu WP, Liu HL (2017) Method for assessing coal-floor water-inrush risk based on the variable-weight model and unascertained measure theory. Hydrogeol J 25:2089\u20132103. https:\/\/doi.org\/10.1007\/s10040-017-1614-0","journal-title":"Hydrogeol J"},{"issue":"1","key":"1973_CR40","doi-asserted-by":"publisher","first-page":"114","DOI":"10.3390\/en16010114","volume":"16","author":"LL Xiao","year":"2022","unstructured":"Xiao LL, Li F, Niu C, Dai GL, Qiao Q, Lin CS (2022) Evaluation of Water Inrush Hazard in Coal Seam Roof Based on the AHP-CRITIC Composite Weighted Method. Energies 16(1):114. https:\/\/doi.org\/10.3390\/en16010114","journal-title":"Energies"},{"key":"1973_CR41","doi-asserted-by":"publisher","DOI":"10.1016\/j.jappgeo.2023.105011","volume":"212","author":"CT Yu","year":"2023","unstructured":"Yu CT, Zhang X, Chen WY, Zhang FM, Tian ZB (2023) Detection of water-enriched goaf via the semi-airborne transient electromagnetic method. J Appl Geophys 212:105011. https:\/\/doi.org\/10.1016\/j.jappgeo.2023.105011","journal-title":"J Appl Geophys"},{"key":"1973_CR42","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1016\/j.psep.2023.08.061","volume":"178","author":"H Zhan","year":"2023","unstructured":"Zhan H, Liu SQ, Wu Q, Li Y, Qi K, Zhang XH (2023) Quantitative prediction of the impact of deep extremely thick coal seam mining on groundwater. Process Saf Environ Prot 178:511\u2013527. https:\/\/doi.org\/10.1016\/j.psep.2023.08.061","journal-title":"Process Saf Environ Prot"},{"issue":"7","key":"1973_CR43","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1007\/s12517-018-3498-2","volume":"11","author":"J Zhang","year":"2018","unstructured":"Zhang J, Yang T (2018) Study of a roof water inrush prediction model in shallow seam mining based on an analytic hierarchy process using a grey relational analysis method. Arab J Geosci 11(7):153. https:\/\/doi.org\/10.1007\/s12517-018-3498-2","journal-title":"Arab J Geosci"},{"key":"1973_CR44","doi-asserted-by":"publisher","first-page":"2027","DOI":"10.1007\/s11069-020-04388-9","volume":"105","author":"YG Zhang","year":"2021","unstructured":"Zhang YG, Yang LL (2021) A novel dynamic predictive method of water inrush from coal floor based on gated recurrent unit model. Nat Hazards 105:2027\u20132043. https:\/\/doi.org\/10.1007\/s11069-020-04388-9","journal-title":"Nat Hazards"},{"issue":"6","key":"1973_CR45","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/s12665-019-8217-0","volume":"78","author":"J Zhang","year":"2019","unstructured":"Zhang J, Wu Q, Mu W, Mu WP, Du YZ, Tu K (2019) Integrating the hierarchy-variable-weight model with collaboration-competition theory for assessing coal-floor water-inrush risk. Environmental Earth Sciences 78(6):205. https:\/\/doi.org\/10.1007\/s12665-019-8217-0","journal-title":"Environmental Earth Sciences"},{"issue":"8","key":"1973_CR46","doi-asserted-by":"publisher","first-page":"2360","DOI":"10.1007\/s11771-021-4775-x","volume":"28","author":"GD Zhang","year":"2021","unstructured":"Zhang GD, Xue YG, Bai CH, Su MX, Zhang K, Tao YF (2021) Risk assessment of floor water inrush in coal mines based on MFIM-TOPSIS variable weight model. Journal of Central South University 28(8):2360\u20132374. https:\/\/doi.org\/10.1007\/s11771-021-4775-x","journal-title":"Journal of Central South University"},{"key":"1973_CR47","doi-asserted-by":"publisher","first-page":"1475","DOI":"10.1007\/s11069-023-05912-3","volume":"117","author":"Y Zhang","year":"2023","unstructured":"Zhang Y, Tang SF, Shi K, Tong XM (2023) An evaluation of the mine water inrush based on the deep learning of ISMOTE. Nat Hazards 117:1475\u20131491. https:\/\/doi.org\/10.1007\/s11069-023-05912-3","journal-title":"Nat Hazards"},{"key":"1973_CR48","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/s10706-022-02273-9","volume":"41","author":"Z Zhao","year":"2023","unstructured":"Zhao Z, Gu J (2023) Risk Evaluation of Mine-Water Inrush Based on Comprehensive Weight Method. Geotech Geol Eng 41:189\u2013203. https:\/\/doi.org\/10.1007\/s10706-022-02273-9","journal-title":"Geotech Geol Eng"}],"container-title":["Earth Science Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-025-01973-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12145-025-01973-z","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-025-01973-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T06:00:53Z","timestamp":1766728853000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12145-025-01973-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,6]]},"references-count":48,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,12]]}},"alternative-id":["1973"],"URL":"https:\/\/doi.org\/10.1007\/s12145-025-01973-z","relation":{},"ISSN":["1865-0473","1865-0481"],"issn-type":[{"value":"1865-0473","type":"print"},{"value":"1865-0481","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,6]]},"assertion":[{"value":"24 October 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 July 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 September 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"503"}}