Intelligent identification method for near-surface ground fissures based on seismic data

Author:

Shi Su-Zhen,Gu Jian-Ying,Feng Jian,Duan Pei-fei,Qi You-chao,Han Qi

Publisher

Springer Science and Business Media LLC

Subject

Geophysics

Reference31 articles.

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2. Cheng Linlin, Zhao Yunxiao, Chen Liang. Evaluation of land damage degree of mining subsidence area with high groundwater level[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2017, 33 (21): 253–260. (in Chinese with English abstract)

3. Chen Peipei, Wu Qiang. Prediction of mining collapse based on neural network[J]. Coal Geology & Exploration, 2001, 29(3):44–47. (in Chinese with English abstract)

4. Chen Guangming, He Huangsheng, Zhang Deyuan. Application and result of 3D seismic explorition in surveying the ground fissure[J]. Coal Geology & Exploration, 2006, 34(5): 65–67. (in Chinese with English abstract)

5. Dong Donglin, Wu Qiang, Jiang Zhenquan, et al. Analysis of geological genesis of earth-fissure in Linfen city[J]. Journal of China University of Mining & Technology, 2002, 31(1):34–38. (in Chinese with English abstract)

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