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Evaluation of the geology-environmental capacity of buildings based on the ANFIS model of the floor area ratio

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Abstract

Land subsidence is a common geological hazard. The long-term accumulation of land subsidence in Shanghai has caused economic loss to the city. Since the 1990s, engineering structures have become a new cause of land subsidence. The concept of the geology-environmental capacity of buildings is put forward. The main factors involved in land subsidence were determined and related to the floor area ratio. The relationship was assessed using the adaptive neuro-fuzzy inference system for four typical regions in Shanghai, in order to give some guidance in respect of urban planning.

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References

  • Chai JC, Shen SL, Zhu HH, Zhang XL (2004) Land subsidence due to groundwater drawdown in Shanghai. Geotechnique 54(3):143–148

    Google Scholar 

  • Chai JC, Shen SL, Zhu HH, Zhang XL (2005) 1D analysis of land subsidence in Shanghai. Lowland Technol Int 7(1):33–41

    Google Scholar 

  • Cui ZD (2008) Study of land subsidence caused by the dense high-rise building group in the soft soil area (in Chinese). Tongji University, Shanghai

    Google Scholar 

  • Cui ZD, Tang YQ, Yan XX (2009) Centrifuge modeling of land subsidence caused by the high-rise building group in the soft soil area. Environ Earth Sci. doi: 10.1007/s12665-009-0163-9

  • Gu XY (1998) Review and prospects of land subsidence computation (in Chinese). Chin J Geolog Hazard Control 93(2):81–85

    Google Scholar 

  • Hoke E, Brown ET (1997) Practical estimates of rock mass strength. Int J Rock Mech Min Sci G Abstr 34(8):106–119

    Google Scholar 

  • Jacobs RA (1988) Increased rates of convergence through learning rate adaptation. Neural Netw 17(1):295–307

    Article  Google Scholar 

  • Li QF, Fang Z, Wang HM (2000) A mathematical model and forecast of groundwater workable reserves for Shanghai (in Chinese). Shanghai Geol 23(2):36–43

    Google Scholar 

  • Mamdani EH, Assilian S (1975) An experiment in linguistic synthesis with a fuzzy logic controller. Int J Man Mach Stud 7(1):1–13

    Article  Google Scholar 

  • Tang YQ, Cui ZD, Wang JX, Yan LP, Yan XX (2008a) Application of grey theory-based model to prediction of land subsidence due to engineering environment in Shanghai. Environ Geol 55(3):583–593

    Article  Google Scholar 

  • Tang YQ, Cui ZD, Wang JX, Lu C, Yan XX (2008b) Model test study of land subsidence caused by the high-rise building group. Bull Eng Geol Environ 67(2):173–179

    Article  Google Scholar 

  • Xue YQ, Zhang Y, Ye SJ Wu JC, Li QF (2005) Land subsidence in China. Environ Geol 48:713–720

    Google Scholar 

  • Yan XX, Gong SL, Zeng Z (2002) Relationship between building density and land subsidence in Shanghai urban zone (in Chinese). Hydrogeol Eng Geol 33(6):21–26

    Google Scholar 

  • Zhang AG, Wei ZX (2002) Past, present and future research on land subsidence in Shanghai (in Chinese). Hydrogeol Eng Geol 33(5):72–75

    Google Scholar 

Download references

Acknowledgments

The work presented in this paper was supported by a research grant from the Ministry of Land and Resources of China and the Shanghai Municipal Government.

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Correspondence to Zhen-Dong Cui or Yi-Qun Tang.

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Cui, ZD., Tang, YQ., Yan, XX. et al. Evaluation of the geology-environmental capacity of buildings based on the ANFIS model of the floor area ratio. Bull Eng Geol Environ 69, 111–118 (2010). https://doi.org/10.1007/s10064-009-0220-3

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  • DOI: https://doi.org/10.1007/s10064-009-0220-3

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