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Volumn 12, Issue 6, 2006, Pages 457-462

Numerical simulation of land subsidence at Tanggu district in Tianjin, China

Author keywords

Confined aquifer; Groundwater exploitation; Land subsidence; Neural network; Tanggu District

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; CORRELATION METHODS; ESTIMATION; NEURAL NETWORKS;

EID: 33846839309     PISSN: 10064982     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (7)

References (13)
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  • 2
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    • Application and development of MODF-LOW and IDP in digital calculation of land subsidence in Tianjin
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    • Jin Aishan. Prediction of land subsidence in the new coastal region of Tianjin with artificial neural network model[J]. Geoscience Journal of Graduate School, China University of Geosciences, 2000, 14(4): 475-478 (in Chinese).
    • (2000) Geoscience Journal of Graduate School, China University of Geosciences , vol.14 , Issue.4 , pp. 475-478
    • Jin, A.1
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  • 5
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  • 7
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    • Artificial neural network approach for predicting transient water levels in a multilayered groundwater system under variable state, pumping, and climate conditions
    • Emery Coppola Jr, Ferenc Szidarovszky, Mary Poulton et al. Artificial neural network approach for predicting transient water levels in a multilayered groundwater system under variable state, pumping, and climate conditions[J]. Journal of Hydrologic Engineering, 2003, 8(6): 348-360.
    • (2003) Journal of Hydrologic Engineering , vol.8 , Issue.6 , pp. 348-360
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  • 8
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  • 9
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    • in Chinese
    • Lou Dinggui, Guo Qing, Wang Xuejun. Simulation and prediction of underground water dynamics based on RBF neural network[J]. Acta Geoscientia Sinica, 2003, 24(5): 475-478 (in Chinese).
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  • 13
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.