246
Views
6
CrossRef citations to date
0
Altmetric
Original Articles

Investigation of influencing factors for valley deformation of high arch dam using machine learning

, , ORCID Icon, &
Pages 2399-2410 | Received 07 Mar 2020, Accepted 14 Mar 2020, Published online: 19 May 2020

References

  • Lees, A. S., MacDonald, G. J., Sheerman-Chase, A., & Schmidt, F. (2013). Seasonal slope movements in an old clay fill embankment dam. Canadian Geotechnical Journal, 50(5), 503–520. https://doi.org/10.1139/cgj-2012-0356
  • Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5–32. https://doi.org/10.1023/A:1010933404324
  • Catani, F., Lagomarsino, D., Segoni, S., & Tofani, V. (2013). Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues. Natural Hazards and Earth System Sciences, 13(11), 2815–2831. https://doi.org/10.5194/nhess-13-2815-2013
  • Chang, X., Nie, F., Yang, Y., Zhang, C., & Huang, H. (2016). Convex sparse PCA for unsupervised feature learning. ACM Transactions on Knowledge Discovery from Data, 11(1), 1–16. https://doi.org/10.1145/2910585
  • Ebel, B. A., Loague, K., & Borja, R. I. (2010). The impacts of hysteresis on variably saturated hydrologic response and slope failure. Environmental Earth Sciences, 61(6), 1215–1225. https://doi.org/10.1007/s12665-009-0445-2
  • Friedman, J., Hastie, T., Höfling, H., & Tibshirani, R. (2007). Pathwise coordinate optimization. The Annals of Applied Statistics, 1(2), 302–332. https://doi.org/10.1214/07-AOAS131
  • Gallant, S. I. (1990). Perceptron-based learning algorithms. IEEE Transactions on Neural Networks, 1(2), 179–191. https://doi.org/10.1109/72.80230
  • Gao, K., Zhao, w., Wang, r., & Zhang, J. (2018). Stress and strain response analysis of high arch dam under valley deformation [Paper presentation]. The 27th Conference on Structural Engineering, Xi’an, China.
  • Haque, U., da Silva, P. F., Devoli, G., Pilz, J., Zhao, B., Khaloua, A., Wilopo, W., Andersen, P., Lu, P., Lee, J., Yamamoto, T., Keellings, D., Wu, J.-H., & Glass, G. E. (2019). The human cost of global warming: Deadly landslides and their triggers (1995–2014). Science of the Total Environment, 682, 673–684. https://doi.org/10.1016/j.scitotenv.2019.03.415
  • Hegemann, J. D. (2020). Factors governing the thermal stability of lasso peptides. ChemBioChem, 21(1–2), 7–18. https://doi.org/10.1002/cbic.201900364
  • Lesser, L. E., Mahlknecht, J., & López-Pérez, M. (2019). Long-term hydrodynamic effects of the All-American Canal lining in an arid transboundary multilayer aquifer: Mexicali Valley in north-western Mexico. Environmental Earth Sciences, 78(16), 8487. https://doi.org/10.1007/s12665-019-8487-6
  • Liang, G., Hu, Y., Fan, Q., & Li, Q. (2016). Analysis on valley deformation of Xiluodu high arch dam during impoundment and its influencing factors. Journal of Hydroelectric Engineering, 35(9), 101–110. (in Chinese)
  • Mohammady, M., Pourghasemi, H. R., & Amiri, M. (2019). Land subsidence susceptibility assessment using random forest machine learning algorithm. Environmental Earth Sciences, 78(16), 503. https://doi.org/10.1007/s12665-019-8518-3
  • Panagiotidis, T., Stengos, T., & Vravosinos, O. (2018). On the determinants of bitcoin returns: A LASSO approach. Finance Research Letters, 27, 235–240. https://doi.org/10.1016/j.frl.2018.03.016
  • Paranunzio, R., Chiarle, M., Laio, F., Nigrelli, G., Turconi, L., & Luino, F. (2019). New insights in the relation between climate and slope failures at high-elevation sites. Theoretical and Applied Climatology, 137(3–4), 1765–1784. https://doi.org/10.1007/s00704-018-2673-4
  • Pripp, A. H., & Stanisic, M. (2017). Association between biomarkers and clinical characteristics in chronic subdural hematoma patients assessed with lasso regression. PLoS One, 12(11), e0186838. https://doi.org/10.1371/journal.pone.0186838
  • Sermpinis, G., Tsoukas, S., & Zhang, P. (2018). Modelling market implied ratings using LASSO variable selection techniques. Journal of Empirical Finance, 48, 19–35. https://doi.org/10.1016/j.jempfin.2018.05.001
  • Tezuka, M., Kataoka, K., & Shigemitsu, Y. (2000). Long-term behavior of Kurobe dam and its foundation rock [Paper presentation]. Transactions of the International Congress on Large Dams, Beijin, China.
  • Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society: Series B (Methodological), 58(1), 267–288. https://doi.org/10.1111/j.2517-6161.1996.tb02080.x
  • Wang, H. L., Xu, W. Y., Jia, C. J., Cai, M., & Meng, Q. X. (2016). Experimental research on permeability evolution with microcrack development in sandstone under different fluid pressures. Journal of Geotechnical and Geoenvironmental Engineering, 142(6), 04016014. https://doi.org/10.1061/(ASCE)GT.1943-5606.0001462
  • Wu, X., Kumar, V., Ross Quinlan, J., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G. J., Ng, A., Liu, B., Yu, P. S., Zhou, Z.-H., Steinbach, M., Hand, D. J., & Steinberg, D. (2008). Top 10 algorithms in data mining. Knowledge and Information Systems, 14(1), 1–37. https://doi.org/10.1007/s10115-007-0114-2
  • Xu, W. Y., Zhang, Q., Zhang, J. C., Wang, R. B., & Wang, R. K. (2013). Deformation and control engineering related to huge landslide on left bank of Xiluodu reservoir, South-West China. European Journal of Environmental and Civil Engineering, 17(suppl 1), s249–s268. https://doi.org/10.1080/19648189.2013.834598
  • Yan, L., Xu, W., Wang, H., Wang, R., Meng, Q., Yu, J., & Xie, W.-C. (2019). Drainage controls on the Donglingxing landslide (China) induced by rainfall and fluctuation in reservoir water levels. Landslides, 16(8), 1583–1593. https://doi.org/10.1007/s10346-019-01202-x
  • Yang, J., Qu, X.-D., & Chang, M. (2019). An intelligent singular value diagnostic method for concrete dam deformation monitoring. Water Science and Engineering, 12(3), 205–212. https://doi.org/10.1016/j.wse.2019.09.006
  • Yang, Q., Pan, Y., Cheng, L., Liu, Y., Zhou, Z., & Xue, L. (2015). Mechanism of vally deformation of high arch dam effective stress for unsatured fractured rock mass. Chinese Journal of Rock Mechanics and Engineering, 34(11), 2258–2270. (in Chinese)
  • Zhou, Z., Li, M., Zhuang, C., & Guo, Q. (2018). Impact factors and forming conditions of valley deformation of Xiluodu Hydropower Station. Journal of Hohai University, 46(6), 497–506. (in Chinese)

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.