메뉴 건너뛰기




Volumn 23, Issue 2, 2013, Pages 237-248

Comprehensive analysis and artificial intelligent simulation of land subsidence of Beijing, China

Author keywords

Back Propagation Neural Network and Genetic Algorithm (BPN GA) model; building area; compressible sediments thickness; groundwater level change; land subsidence

Indexed keywords

ALLUVIAL PLAIN; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; DISPLACEMENT; GENETIC ALGORITHM; GIS; GROUNDWATER; REMOTE SENSING; SEDIMENT THICKNESS; SPATIAL ANALYSIS; SUBSIDENCE; WATER LEVEL;

EID: 84880539695     PISSN: 10020063     EISSN: 1993064X     Source Type: Journal    
DOI: 10.1007/s11769-013-0589-6     Document Type: Article
Times cited : (37)

References (32)
  • 1
    • 38049047247 scopus 로고    scopus 로고
    • Neural network based recognition by using genetic algorithm for feature selection of enhanced fingerprints
    • B. Beliczynski (eds) Springer Berlin Heidelberg Germany 10.1007/978-3-540-71629-7-53
    • Altun A A, Allahverdi N, 2007. Neural network based recognition by using genetic algorithm for feature selection of enhanced fingerprints. In: Beliczynski B (eds.). Adaptive and Natural Computing Algorithms. Germany: Springer Berlin Heidelberg, 467-476.
    • (2007) Adaptive and Natural Computing Algorithms , pp. 467-476
    • Altun, A.A.1    Allahverdi, N.2
  • 2
    • 79952684016 scopus 로고    scopus 로고
    • Review of subsidence management in the Netherlands
    • C. F Dora (eds) International Association of Hydrological Sciences Press British
    • Barends F B J, 2010. Review of subsidence management in the Netherlands. In: Dora C F (eds.). Land Subsidence, Associated Hazards and the Role of Natural Resources Development. British: International Association of Hydrological Sciences Press, 385-395.
    • (2010) Land Subsidence, Associated Hazards and the Role of Natural Resources Development , pp. 385-395
    • Barends, F.B.J.1
  • 3
    • 84860404983 scopus 로고    scopus 로고
    • Neural network-based expert system to predict the results of finite element analysis
    • A. Tiwari (eds) Springer Berlin Heidelberg Germany 10.1007/978-3-540- 36266-1-22
    • Bhise O P, Pratihar D K, 2006. Neural network-based expert system to predict the results of finite element analysis. In: Tiwari A (eds.). Applications of Soft Computing. Germany: Springer Berlin Heidelberg, 231-240.
    • (2006) Applications of Soft Computing , pp. 231-240
    • Bhise, O.P.1    Pratihar, D.K.2
  • 4
    • 33750096459 scopus 로고    scopus 로고
    • Three-dimensional deformation and strain induced by municipal pumping, Part 2: Numerical analysis
    • DOI 10.1016/j.jhydrol.2006.03.035, PII S0022169406001831
    • Burbey T J, 2006. Three-dimensional deformation and strain induced by municipal pumping, Part 2: Numerical analysis. Journal of Hydrology, 330(3-4): 422-434. doi: 10.1016/j.jhydrol.2006.03.035 (Pubitemid 44592590)
    • (2006) Journal of Hydrology , vol.330 , Issue.3-4 , pp. 422-434
    • Burbey, T.J.1
  • 5
    • 78650173271 scopus 로고    scopus 로고
    • Simulating pumping-induced regional land subsidence with the use of InSAR and field data in the Toluca Valley, Mexico
    • 10.1016/j.advwatres.2010.09.017
    • Calderhead A I, Therrien R, Rivera A et al., 2011. Simulating pumping-induced regional land subsidence with the use of InSAR and field data in the Toluca Valley, Mexico. Advances in Water Resources, 34(1): 83-97. doi:10.1016/j.advwatres.2010.09.017
    • (2011) Advances in Water Resources , vol.34 , Issue.1 , pp. 83-97
    • Calderhead, A.I.1    Therrien, R.2    Rivera, A.3
  • 6
    • 84863390553 scopus 로고    scopus 로고
    • Research on the ground settlement model based on MODFLOW
    • Cui Yali, Shao Jingli, Xie Zhenghua et al., 2003. Research on the ground settlement model based on MODFLOW. Geotechnical Investigation & Surveying, (5): 19-22. (in Chinese)
    • (2003) Geotechnical Investigation & Surveying , pp. 19-22
    • Cui, Y.1    Shao, J.2    Xie, Z.3
  • 7
    • 47849130439 scopus 로고    scopus 로고
    • Finding optimal neural network architecture using genetic algorithms
    • Fiszelew A, Britos P, Ochoa A et al., 2007. Finding optimal neural network architecture using genetic algorithms. Research in Computing Science, 27: 15-24.
    • (2007) Research in Computing Science , vol.27 , pp. 15-24
    • Fiszelew, A.1    Britos, P.2    Ochoa, A.3
  • 8
    • 81255175209 scopus 로고    scopus 로고
    • Review: Regional land subsidence accompanying groundwater extraction
    • 10.1007/s10040-011-0775-5
    • Galloway D L, Burbey T J, 2011. Review: Regional land subsidence accompanying groundwater extraction. Journal of Hydrogeology, 19(8): 1459-1486. doi: 10.1007/s10040-011-0775-5
    • (2011) Journal of Hydrogeology , vol.19 , Issue.8 , pp. 1459-1486
    • Galloway, D.L.1    Burbey, T.J.2
  • 9
    • 33846652579 scopus 로고    scopus 로고
    • The application of satellite differential SAR interferometry-derived ground displacements in hydrogeology
    • DOI 10.1007/s10040-006-0121-5, Remote Sensing and GIS in Hydrogeology
    • Galloway D L, Hoffmann J, 2007. The application of satellite differential SAR interferometry-derived ground displacements in hydrogeology. Journal of Hydrogeology, 15(1): 133-154. doi: 10.1007/s10040-006-0121-5 (Pubitemid 46196014)
    • (2007) Hydrogeology Journal , vol.15 , Issue.1 , pp. 133-154
    • Galloway, D.L.1    Hoffmann, J.2
  • 10
    • 67649790256 scopus 로고    scopus 로고
    • Modeling atmospheric effects of InSAR measurements based on Meris and GPS observations
    • Gong H L, Zhang Y Q, Li X J et al., 2008. Modeling atmospheric effects of InSAR measurements based on Meris and GPS observations. International Geoscience & Remote Sensing Symposium, 4: IV-978-IV-981. doi: 10.1109/IGARSS.2008.4779888
    • (2008) International Geoscience & Remote Sensing Symposium , vol.4
    • Gong, H.L.1    Zhang, Y.Q.2    Li, X.J.3
  • 12
    • 70350138517 scopus 로고    scopus 로고
    • A tentative study of the mechanism of land subsidence in Beijing
    • Jia Sanman, Wang Haigang, Zhao Shousheng et al., 2007. A tentative study of the mechanism of land subsidence in Beijing. Analysis and Study, 2(1): 20-26. (in Chinese)
    • (2007) Analysis and Study , vol.2 , Issue.1 , pp. 20-26
    • Jia, S.1    Wang, H.2    Zhao, S.3
  • 13
    • 84867137285 scopus 로고    scopus 로고
    • Application of genetic algorithm optimized neural network connection weights for medical diagnosis of pima Indians diabetes
    • 10.5121/ijsc.2011.2202
    • Karegowda A G, Manjunath A S, Jayaram M A, 2011. Application of genetic algorithm optimized neural network connection weights for medical diagnosis of pima Indians diabetes. International Journal on Soft Computing, 2(2): 15-23. doi: 10.5121/ijsc.2011.2202
    • (2011) International Journal on Soft Computing , vol.2 , Issue.2 , pp. 15-23
    • Karegowda, A.G.1    Manjunath, A.S.2    Jayaram, M.A.3
  • 14
    • 79959207132 scopus 로고    scopus 로고
    • MODFLOW ground-water model - User guide to the Subsidence and Aquifer-System Compaction Package (SUB-WT) for water-table aquifers
    • Leake S A, Galloway D L, 2007. MODFLOW ground-water model - User guide to the Subsidence and Aquifer-System Compaction Package (SUB-WT) for water-table aquifers. In: U.S. Geological Survey, Techniques and Methods, 6-A23.
    • (2007) U.S. Geological Survey, Techniques and Methods
    • Leake, S.A.1    Galloway, D.L.2
  • 15
    • 79952645907 scopus 로고    scopus 로고
    • Use of the SUB-WT package for MODFLOW to simulate aquifer system compaction in Antelope valley, California, USA
    • C. F Dora (eds) International Association of Hydrological Sciences Press British
    • Leake S A, Galloway D L, 2010. Use of the SUB-WT package for MODFLOW to simulate aquifer system compaction in Antelope valley, California, USA. In: Dora C F (eds.). Land Subsidence, Associated Hazards and the Role of Natural Resources Development. British: International Association of Hydrological Sciences Press, 61-67.
    • (2010) Land Subsidence, Associated Hazards and the Role of Natural Resources Development , pp. 61-67
    • Leake, S.A.1    Galloway, D.L.2
  • 17
    • 61349085425 scopus 로고    scopus 로고
    • Prediction and analysis of land subsidence based on improved BP neural network model
    • Li Hongxia, Zhao Xinhua, Chi Haiyan et al., 2009. Prediction and analysis of land subsidence based on improved BP neural network model. Journal of Tianjin University, 42(1): 60-64. (in Chinese)
    • (2009) Journal of Tianjin University , vol.42 , Issue.1 , pp. 60-64
    • Li, H.1    Zhao, X.2    Chi, H.3
  • 18
    • 84880543921 scopus 로고    scopus 로고
    • Application of the artificial neural network in land subsidence prediction in the urban area of Tianjin Municipality, China
    • Li Tao, Pan Yun, Lou Huajun et al., 2005. Application of the artificial neural network in land subsidence prediction in the urban area of Tianjin Municipality, China. Geological Bulletin of China, 24(7): 677-681. (in Chinese)
    • (2005) Geological Bulletin of China , vol.24 , Issue.7 , pp. 677-681
    • Li, T.1    Pan, Y.2    Lou, H.3
  • 19
    • 79960732072 scopus 로고    scopus 로고
    • Study on the BP-GA model and its application in water quality assessment
    • Li Y Y, Zhu L, Zhao L J et al., 2011. Study on the BP-GA model and its application in water quality assessment. Water Resource and Environmental Protection, 4: 2781-2784. doi: 10.1109/ISWREP.2011.5893456
    • (2011) Water Resource and Environmental Protection , vol.4 , pp. 2781-2784
    • Li, Y.Y.1    Zhu, L.2    Zhao, L.J.3
  • 20
    • 84879895785 scopus 로고    scopus 로고
    • Division of water-bearing zones and compressible layers in Beijing's land subsidence areas
    • Liu Yu, Ye Chao, Jia Sanman, 2007. Division of water-bearing zones and compressible layers in Beijing's land subsidence areas. Analysis and Study, 2(1): 10-15. (in Chinese)
    • (2007) Analysis and Study , vol.2 , Issue.1 , pp. 10-15
    • Liu, Y.1    Ye, C.2    Jia, S.3
  • 21
    • 77954887770 scopus 로고    scopus 로고
    • Optimization of regenerative cycle with open feed water heater using genetic algorithms and neural networks
    • 10.1007/s10973-010-0727-7
    • Moghadassi A R, Parvizian F, Abareshi B et al., 2010. Optimization of regenerative cycle with open feed water heater using genetic algorithms and neural networks. Journal of Therm Analysis and Calorimetry, 100(3): 757-761. doi: 10.1007/s10973-010-0727-7
    • (2010) Journal of Therm Analysis and Calorimetry , vol.100 , Issue.3 , pp. 757-761
    • Moghadassi, A.R.1    Parvizian, F.2    Abareshi, B.3
  • 23
    • 42449085859 scopus 로고    scopus 로고
    • Characteristics of regional land subsidence in Yangtze Delta, China: An example of Su-Xi-Chang area and the City of Shanghai
    • 10.1007/s10040-007-0237-2
    • Shi X Q, Xue Y Q, Wu J C et al., 2008. Characteristics of regional land subsidence in Yangtze Delta, China: An example of Su-Xi-Chang area and the City of Shanghai. Hydrogeology Journal, 16(3): 593-607. doi: 10.1007/s10040-007-0237- 2
    • (2008) Hydrogeology Journal , vol.16 , Issue.3 , pp. 593-607
    • Shi, X.Q.1    Xue, Y.Q.2    Wu, J.C.3
  • 24
    • 79952669313 scopus 로고    scopus 로고
    • Advanced monitoring tech niques for mapping land displacement on the Venice coastland with satellite SAR data
    • C. F Dora (eds) International Association of Hydrological Sciences Press British
    • Strozi T, Tosi L, Teatini P et al., 2010. Advanced monitoring tech niques for mapping land displacement on the Venice coastland with satellite SAR data. In: Dora C F (eds.). Land Subsidence, Associated Hazards and the Role of Natural Resources Development. British: International Association of Hydrological Sciences Press, 249-254.
    • (2010) Land Subsidence, Associated Hazards and the Role of Natural Resources Development , pp. 249-254
    • Strozi, T.1    Tosi, L.2    Teatini, P.3
  • 25
    • 84879906784 scopus 로고    scopus 로고
    • The deformation be havior of soil mass in the subsidence area of Beijing
    • Tian Fang, Guo Meng, Luo Yong et al., 2012. The deformation be havior of soil mass in the subsidence area of Beijing. Geology in China, 39(1): 236-242. (in Chinese)
    • (2012) Geology in China , vol.39 , Issue.1 , pp. 236-242
    • Tian, F.1    Guo, M.2    Luo, Y.3
  • 26
    • 79952815561 scopus 로고    scopus 로고
    • Persistent Scatterer Interferometry subsidence data exploitation using spatial tools: The Vega Media of the Segura River Basin case study
    • 10.1016/j.jhydrol.2011.01.057
    • Tomas R, Herrera G, Cooksley G et al., 2011. Persistent Scatterer Interferometry subsidence data exploitation using spatial tools: The Vega Media of the Segura River Basin case study. Journal of Hydrology, 400(3-4): 411-428. doi:10.1016/j.jhydrol.2011.01.057
    • (2011) Journal of Hydrology , vol.400 , Issue.3-4 , pp. 411-428
    • Tomas, R.1    Herrera, G.2    Cooksley, G.3
  • 27
    • 59449101087 scopus 로고    scopus 로고
    • A genetic algorithmbased articial neural network model for the optimization of ma chining processes
    • 10.1007/s00521-007-0166-y
    • Venkatsan D, Kannan K, Saravanan R, 2009. A genetic algorithmbased articial neural network model for the optimization of ma chining processes. Neural Computing & Applications, 18(2): 135-140. doi: 10.1007/s00521-007- 0166-y
    • (2009) Neural Computing & Applications , vol.18 , Issue.2 , pp. 135-140
    • Venkatsan, D.1    Kannan, K.2    Saravanan, R.3
  • 28
    • 84880563876 scopus 로고    scopus 로고
    • The status and development of land subsidence in Beijing plain
    • Yang Yan, Jia Sanman, Wang Haigang, 2010, The status and development of land subsidence in Beijing plain. Shanghai Geology, 31(4): 23-27. (in Chinese)
    • (2010) Shanghai Geology , vol.31 , Issue.4 , pp. 23-27
    • Yang, Y.1    Jia, S.2    Wang, H.3
  • 29
    • 79952635869 scopus 로고    scopus 로고
    • A regional land subsidence model embodying complex deformation characteristics
    • C. F Dora (eds) International Association of Hydrological Sciences Press British
    • Ye S J, Xue Y Q, Wu J C et al., 2010. A regional land subsidence model embodying complex deformation characteristics. In: Dora C F (eds.). Land Subsidence, Associated Hazards and the Role of Natural Resources Development. British: International Association of Hydrological Sciences Press, 76-81.
    • (2010) Land Subsidence, Associated Hazards and the Role of Natural Resources Development , pp. 76-81
    • Ye, S.J.1    Xue, Y.Q.2    Wu, J.C.3
  • 30
    • 79952678134 scopus 로고    scopus 로고
    • Research on a 3-D visualized strata model virtual reality system of land subsidence in Suzhou-Wuxi-Changzhou area
    • C. F Dora (eds) International Association of Hydrological Sciences Press British
    • Yu J, Su S, Zhu L et al., 2010. Research on a 3-D visualized strata model virtual reality system of land subsidence in Suzhou-Wuxi-Changzhou area. In: Dora C F (eds.). Land Subsidence, Associated Hazards and the Role of Natural Resources Development. British: International Association of Hydrological Sciences Press, 108-113.
    • (2010) Land Subsidence, Associated Hazards and the Role of Natural Resources Development , pp. 108-113
    • Yu, J.1    Su, S.2    Zhu, L.3
  • 31
    • 70350180598 scopus 로고    scopus 로고
    • Seasonal displacements in upper-middle alluvial fan of Chaobai River, Beijing, China, observed by the permanent scatters technique
    • Zhang Y Q, Gong H L, Chen B B et al., 2009. Seasonal displacements in upper-middle alluvial fan of Chaobai River, Beijing, China, observed by the permanent scatters technique. Joint Urban Remote Sensing Event, 1423-1428. doi: 10.1109/URS.2009.5137709
    • (2009) Joint Urban Remote Sensing Event , pp. 1423-1428
    • Zhang, Y.Q.1    Gong, H.L.2    Chen, B.B.3
  • 32
    • 70350166965 scopus 로고    scopus 로고
    • Research on evolution of land subsidence induced by nature and human activity by utilizing remote sensing technology
    • Zhu L, Gong H L, Jing L L et al., 2009. Research on evolution of land subsidence induced by nature and human activity by utilizing remote sensing technology. Joint Urban Remote Sensing Event, 1331-1335. doi: 10.1109/URS.2009.5137693
    • (2009) Joint Urban Remote Sensing Event , pp. 1331-1335
    • Zhu, L.1    Gong, H.L.2    Jing, L.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.