International Union of Geological Sciences

Cited by CrossRef (16)

  1. Karel Šilhán. Are the historically known landslide events really the biggest? An insight using dendrogeomorphology. Landslides 2024
    https://doi.org/10.1007/s10346-024-02354-1
  2. Xinrui Liu, Yabing Zhang, Jian Zhang, Tianhong Yang, Peng Jia, Rongfei Guo. Modelling surface subsidence of coal mines using a bonded block numerical method. Geomatics, Natural Hazards and Risk 2024;15
    https://doi.org/10.1080/19475705.2024.2336017
  3. Ali M. Rajabi, Ali Edalat, Yasaman Abolghasemi, Mahdi Khodaparast. Using neural network modeling to improve the detection accuracy of land subsidence due to groundwater withdrawal. J. Mt. Sci. 2024;21:2320
    https://doi.org/10.1007/s11629-023-8470-2
  4. Minwook Lee, Jin-Yong Lee, Jiwook Jang. Numerical modeling of groundwater system with tunnel construction in an urban area of Korea: implications for land subsidence and mitigation measures. Environ Earth Sci 2024;83
    https://doi.org/10.1007/s12665-023-11211-8
  5. Hasan Bilgehan Makineci. Investigation of burned areas with multiplatform remote sensing data on the Rhodes 2023 forest fires. Ain Shams Engineering Journal 2024:102949
    https://doi.org/10.1016/j.asej.2024.102949
  6. Jinhui Li, Xinfu Xing, Jinping Ou. Locating and characterizing potential rainfall-induced landslides on a regional scale based on SBAS-InSAR technique. Bull Eng Geol Environ 2023;82
    https://doi.org/10.1007/s10064-023-03356-4
  7. Huaizhi Bo, Guohong Lu, Huaizhan Li, Guangli Guo, Yunwei Li. Development of a Dynamic Prediction Model for Underground Coal-Mining-Induced Ground Subsidence Based on the Hook Function. Remote Sensing 2024;16:377
    https://doi.org/10.3390/rs16020377
  8. Mahdis sadat Jalaee, Amin GhasemiNejad, Sayyed Abdolmajid Jalaee, Naeeme Amani Zarin, Reza Derakhshani. A Novel Hybrid Artificial Intelligence Approach to the Future of Global Coal Consumption Using Whale Optimization Algorithm and Adaptive Neuro-Fuzzy Inference System. Energies 2022;15:2578
    https://doi.org/10.3390/en15072578
  9. Mohammad Mohammadhasani, Ahmad Rashidi, Behnaz Sheikh Shariati Kermani, Majid Nemati, Reza Derakhshani. Radar Interferometry for Sustainable Groundwater Use: Detecting Subsidence and Sinkholes in Kabodarahang Plain. Water 2024;16:1976
    https://doi.org/10.3390/w16141976
  10. Junjun Jiang, Zhigang Deng, Guanghui Zhang, Shengli Yang. A case study for coupling mechanism of anti-rockburst and pressure relief in gas drainage borehole along seam. Front. Earth Sci. 2024;12
    https://doi.org/10.3389/feart.2024.1354238
  11. Yifeng He, Jie Zhang, Hui Liu, Tao Yang, Jianping Sun. Study on Activation and Restructuring of Key Strata in Shallowly Buried Coal Seam Bearing Structure and Load Characteristics. Processes 2024;12:1257
    https://doi.org/10.3390/pr12061257
  12. Long-ji Guo, Zhi-gang Tao, Man-chao He, Jian-ning Liu, Massimo Coli. A case study of a giant reactivated landslide based on NPR anchor cable Newton force early warning. J. Mt. Sci. 2023;20:3283
    https://doi.org/10.1007/s11629-023-8097-3
  13. Xiaozheng Liu, Peng Zhang, Yakun Guo, Guotao Ma, Ming Liu. Study of a high-precision complex 3D geological modelling method based on a fine KNN and kriging coupling algorithm: a case study for Jiangsu, China. Front. Earth Sci. 2023;11
    https://doi.org/10.3389/feart.2023.1325907
  14. Debjyoti Ghosh, Ashvini Kumar, Abhishek Kumar Yadav, Suresh Kannaujiya, Paresh Nath Singha Roy. Surface deformation monitoring of Raniganj coalfield, India, using advanced InSAR and DGPS. Geomatics, Natural Hazards and Risk 2024;15
    https://doi.org/10.1080/19475705.2024.2375546
  15. Yejiao Liu, Hui Xing, Zeyu Duan, Chaoyun Yu, Zhichao Tian, Ting Teng. Study on Mechanical Characteristics of Deformation and the Failure of Gas-Containing Coal in the Wuhai Mining Area of China under Different Gas Pressure Conditions. Applied Sciences 2022;12:10139
    https://doi.org/10.3390/app121910139
  16. Mohsen Pourkhosravani, Ali Mehrabi, Saied Pirasteh, Reza Derakhshani. Monitoring of Maskun landslide and determining its quantitative relationship to different climatic conditions using D-InSAR and PSI techniques. Geomatics, Natural Hazards and Risk 2022;13:1134
    https://doi.org/10.1080/19475705.2022.2065939