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Models predicting ground subsidence dynamically with high precision are important for the prevention of damage derived from ground subsidence. In this paper, the Hook function is utilized to develop a model describing the velocity of ground subsidence due to underground coal mining. Based on the subsidence velocity model, a dynamic subsidence model is established by taking an integral of the velocity model. Coefficients of the model, which depend on maximum subsidence, maximum subsidence velocity and the time corresponding to the maximum subsidence velocity, are related to the geological and mining conditions of the coal seam being investigated. A Levenberg\u2013Marquardt-algorithm-based method is also proposed to calculate the optimal model coefficients based on subsidence velocity observations. Four continuously operating Global Navigation Satellite System (GNSS) stations were constructed above a typical longwall coal mining working face in the Jining mining area, China. These GNSS stations collected subsidence observations over two years, which were used to validate the developed prediction model. The results show that the root-mean-square (RMS) of the model-predicted ground subsidence error is 56.1 mm, and the maximum relative error is 2.5% for all four GNSS stations, when the ground subsidence is less than 6000 mm.<\/jats:p>","DOI":"10.3390\/rs16020377","type":"journal-article","created":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T07:41:28Z","timestamp":1705477288000},"page":"377","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Development of a Dynamic Prediction Model for Underground Coal-Mining-Induced Ground Subsidence Based on the Hook Function"],"prefix":"10.3390","volume":"16","author":[{"given":"Huaizhi","family":"Bo","sequence":"first","affiliation":[{"name":"School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"},{"name":"Shandong Provincial Lunan Geology and Exploration Institute, Shandong Provincial Bureau of Geology and Mineral Resources No. 2 Geological Brigade, Jining 272000, China"},{"name":"Technology Innovation Center of Restoration and Reclamation in Mining Induced Subsidence Land, Ministry of Natural Resources of China, Jining 272000, China"}]},{"given":"Guohong","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"},{"name":"Shandong Provincial Lunan Geology and Exploration Institute, Shandong Provincial Bureau of Geology and Mineral Resources No. 2 Geological Brigade, Jining 272000, China"},{"name":"Technology Innovation Center of Restoration and Reclamation in Mining Induced Subsidence Land, Ministry of Natural Resources of China, Jining 272000, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7860-0960","authenticated-orcid":false,"given":"Huaizhan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"}]},{"given":"Guangli","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4011-2018","authenticated-orcid":false,"given":"Yunwei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Space Science and Physics, Shandong University, Weihai 264200, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,1,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1188","DOI":"10.1007\/s00267-016-0678-2","article-title":"Managing Scarce Water Resources in China\u2019s Coal Power Industry","volume":"57","author":"Zhang","year":"2016","journal-title":"Environ. Manag."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1007\/s002540000140","article-title":"Mining subsidence and its effect on the environment: Some differing examples","volume":"40","author":"Bell","year":"2000","journal-title":"Environ. Geol."},{"key":"ref_3","first-page":"33","article-title":"Managing mine subsidence along railways and highway pavements in the southern coalfield","volume":"47","author":"Kay","year":"2012","journal-title":"J. News Aust. Geomech. Soc."},{"key":"ref_4","first-page":"102439","article-title":"Multi-sensor remote sensing analysis of coal fire induced land subsidence in Jharia Coalfields, Jharkhand, India","volume":"102","author":"Karanam","year":"2021","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"454","DOI":"10.1016\/j.psep.2022.10.013","article-title":"Prediction and zoning of the impact of underground coal mining on groundwater resources","volume":"168","author":"Li","year":"2022","journal-title":"Process Saf. Environ. Prot."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1007\/s10230-014-0298-0","article-title":"Mechanisms of Aquifer Protection in Underground Coal Mining","volume":"34","author":"Fan","year":"2015","journal-title":"Mine Water Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"14800","DOI":"10.1038\/s41598-022-19160-1","article-title":"Prediction of mining-induced subsidence at Barapukuria longwall coal mine, Bangladesh","volume":"12","author":"Fujii","year":"2022","journal-title":"Sci. Rep."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Zhang, S., and Zhang, J. (2022). Ground Subsidence Monitoring in a Mining Area Based on Mountainous Time Function and EnKF Methods Using GPS Data. Remote Sens., 14.","DOI":"10.3390\/rs14246359"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"9922136","DOI":"10.1155\/2021\/9922136","article-title":"A New Dynamic Prediction Model for Underground Mining Subsidence Based on Inverse Function of Unstable Creep","volume":"2021","author":"Cheng","year":"2021","journal-title":"Adv. Civ. Eng."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"106918","DOI":"10.1016\/j.engfailanal.2022.106918","article-title":"Numerical simulation and verification of goaf morphology evolution and surface subsidence in a mine","volume":"144","author":"He","year":"2023","journal-title":"Eng. Fail. Anal."},{"key":"ref_11","first-page":"1","article-title":"Effect of time on formation of basin subsidence","volume":"1","author":"Knothe","year":"1953","journal-title":"Arch. Min. Steel Ind."},{"key":"ref_12","first-page":"341","article-title":"Time function and prediction of progressive surface movement sand deformations","volume":"26","author":"Peng","year":"2004","journal-title":"J. Univ. Sci. Technol. Beijing"},{"key":"ref_13","unstructured":"Kwinta, A., Hejmanowski, R., and Sroka, A. (1996, January 16). Time function analysis used for the prediction of rock mass subsidence. Proceedings of the International Symposium on Mining Science and Technology, Xuzhou, China."},{"key":"ref_14","first-page":"2409","article-title":"Dynamic surface subsidence curve model based on Weibull time function","volume":"34","author":"Liu","year":"2013","journal-title":"Rock Soil Mech."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"4279401","DOI":"10.1155\/2020\/4279401","article-title":"Time Function Model of Surface Subsidence Based on Inversion Analysis in Deep Soil Strata","volume":"2020","author":"Han","year":"2020","journal-title":"Math. Probl. Eng."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1179\/1752270614Y.0000000092","article-title":"Mine surface deformation monitoring using modified GPS RTK with surveying rod: Initial results","volume":"47","author":"Liu","year":"2015","journal-title":"Surv. Rev."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"5695","DOI":"10.1029\/1999JB900351","article-title":"Global Positioning System constraints on plate kinematics and dynamics in the eastern Mediterranean and Caucasus","volume":"105","author":"Mcclusky","year":"2000","journal-title":"J. Geophys. Res."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1016\/j.mstc.2011.06.001","article-title":"Coal mining GPS subsidence monitoring technology and its application","volume":"21","author":"Wang","year":"2011","journal-title":"Min. Sci. Technol. (China)"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"s659","DOI":"10.1016\/S1003-6326(12)61658-6","article-title":"A new method for mining deformation monitoring with GPS-RTK","volume":"21","author":"Gao","year":"2011","journal-title":"Trans. Nonferrous Met. Soc. China"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s43020-022-00068-0","article-title":"Principle and performance of multi-frequency and multi-GNSS PPP-RTK","volume":"3","author":"Li","year":"2022","journal-title":"Satell. Navig."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"759","DOI":"10.1002\/2016RG000529","article-title":"Plate Boundary Observatory and related networks: GPS data analysis methods and geodetic products","volume":"54","author":"Herring","year":"2016","journal-title":"Rev. Geophys."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1081","DOI":"10.1016\/j.proeps.2009.09.166","article-title":"Advanced GNSS technology of mining deformation monitoring","volume":"1","author":"Gao","year":"2009","journal-title":"Procedia Earth Planet. Sci."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"7492","DOI":"10.1038\/s41598-021-86929-1","article-title":"Precise levelling in crossing river over 5 km using total station and GNSS","volume":"11","author":"Yang","year":"2021","journal-title":"Sci. Rep."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.ijmst.2013.04.012","article-title":"Time function of surface subsidence based on Harris model in mined-out area","volume":"23","author":"Liu","year":"2013","journal-title":"Int. J. Min. Sci. Technol."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Liu, X., Xu, L., and Zhang, K. (2023). Strata Movement Characteristics in Underground Coal Gasification (UCG) under Thermal Coupling and Surface Subsidence Prediction Methods. Appl. Sci., 13.","DOI":"10.3390\/app13085192"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"19","DOI":"10.18814\/epiiugs\/2022\/022009","article-title":"Spatiotemporal subsidence over Pabdana coal mine Kerman Province, central Iran using time-series of Sentinel-1 remote sensing imagery","volume":"46","author":"Mehrabi","year":"2023","journal-title":"Episodes"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1007\/s40789-022-00541-w","article-title":"Twenty years of coal mining-induced subsidence in the Upper Silesia in Poland identified using InSAR","volume":"9","author":"Przylucka","year":"2022","journal-title":"Int. J. Coal Sci. Technol."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Yan, W., Chen, J., Tan, Y., He, R., and Yan, S. (2022). Surface Dynamic Damage Prediction Model of Horizontal Coal Seam Based on the Idea of Wave Lossless Propagation. Int. J. Environ. Res. Public Health, 19.","DOI":"10.3390\/ijerph19116862"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Behera, A., and Rawat, K.S. (Mater. Today Proc., 2023). A brief review paper on mining subsidence and its geo-environmental impact, Mater. Today Proc., in press.","DOI":"10.1016\/j.matpr.2023.04.183"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1038\/s41592-019-0686-2","article-title":"SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python","volume":"17","author":"Virtanen","year":"2020","journal-title":"Nat. Methods"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Zhang, L., Cheng, H., Yao, Z., and Wang, X. (2020). Application of the Improved Knothe Time Function Model in the Prediction of Ground Mining Subsidence: A Case Study from Heze City, Shandong Province, China. Appl. Sci., 10.","DOI":"10.3390\/app10093147"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"e103","DOI":"10.7717\/peerj-cs.103","article-title":"SymPy: Symbolic computing in Python","volume":"3","author":"Meurer","year":"2017","journal-title":"PeerJ Comput. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"864","DOI":"10.1080\/10255842.2022.2093607","article-title":"A penalty method for constrained multibody kinematics optimisation using a Levenberg\u2013Marquardt algorithm","volume":"26","author":"Livet","year":"2023","journal-title":"Comput. Methods Biomech. Biomed. Eng."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Guo, W., Bai, E., and Yang, D. (2017). Surface subsidence characteristics and damage protection techniques of high-intensity mining in China. Adv. Coal Mine Ground Control., 157\u2013203.","DOI":"10.1016\/B978-0-08-101225-3.00007-4"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1007\/s40948-021-00338-2","article-title":"A criterion of rockburst in coal mines considering the influence of working face mining velocity","volume":"8","author":"Li","year":"2022","journal-title":"Geomech. Geophys. Geo-Energy Geo-Resour."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/0016-0032(90)90001-Y","article-title":"Model reduction by minimization of integral square error performance indices","volume":"327","author":"Howitt","year":"1990","journal-title":"J. Frankl. Inst."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/S0013-7952(00)00068-5","article-title":"The monitoring and prediction of mining subsidence in the Amaga, Angelopolis, Venecia and Bolombolo Regions, Antioquia, Colombia","volume":"59","author":"Donnelly","year":"2001","journal-title":"Eng. Geol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1007\/s40789-023-00595-4","article-title":"A review of monitoring, calculation, and simulation methods for ground subsidence induced by coal mining","volume":"10","author":"Cai","year":"2023","journal-title":"Int. J. Coal Sci. Technol."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1418","DOI":"10.1016\/j.jclepro.2019.06.208","article-title":"A new dynamic prediction method for surface subsidence based on numerical model parameter sensitivity","volume":"233","author":"Li","year":"2019","journal-title":"J. Clean. Prod."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/S1365-1609(03)00013-3","article-title":"A review of techniques, advances and outstanding issues in numerical modelling for rock mechanics and rock engineering","volume":"40","author":"Jing","year":"2003","journal-title":"Int. J. Rock Mech. Min. Sci."},{"key":"ref_41","first-page":"257","article-title":"Research on numerical simulation of stratum subsidence","volume":"20","author":"Ma","year":"2001","journal-title":"J. Liaoning Tech. Univ. (Nat. Sci.)"},{"key":"ref_42","first-page":"163","article-title":"Dynamic prediction of mining-induced subsidence based on a hybrid model","volume":"37","author":"Liu","year":"2020","journal-title":"J. Min. Saf. Eng."},{"key":"ref_43","first-page":"170","article-title":"Dynamic prediction of mining-induced subsidence using a neural network model","volume":"10","author":"Wang","year":"2017","journal-title":"Arab. J. Geosci."},{"key":"ref_44","first-page":"57","article-title":"Time function analysis of mining-induced subsidence based on a backpropagation neural network","volume":"157","author":"Wang","year":"2018","journal-title":"J. Appl. Geophys."},{"key":"ref_45","first-page":"350","article-title":"Dynamic prediction of mining-induced subsidence based on a random forest model","volume":"35","author":"Yang","year":"2018","journal-title":"J. Min. Saf. Eng."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/2\/377\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T13:48:57Z","timestamp":1760104137000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/2\/377"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,17]]},"references-count":45,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2024,1]]}},"alternative-id":["rs16020377"],"URL":"https:\/\/doi.org\/10.3390\/rs16020377","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,17]]}}}