To explore the geological conditions for the tunnel construction in hydropower engineering, this study built a calculation model for tunnel geological conditions using a 3D resistivity method. Through numerical simulations, this study determined the 3D resistivity distribution of the tunnel model. Then, the model was applied to the field exploration of a water resource allocation project in Yunnan, yielding satisfactory exploration results, as verified through drilling. The findings suggest that the 3D resistivity method can be effectively applied to the exploration of geological conditions for tunnel construction in hydropower engineering by accurately determining formation thicknesses, as well as the sizes, locations, and filling characteristics of karst cavities. The quantitative and qualitative data obtained from exploration in this study lay a reliable foundation for the management, informatization, and disaster prevention of tunnel construction.
黄瑶. 基于三维电阻率法的水电工程隧道地质条件探查[J]. 物探与化探, 2024, 48(1): 281-286.
HUANG Yao. Exploring geological conditions for tunnel construction in hydropower engineering using a 3D resistivity method. Geophysical and Geochemical Exploration, 2024, 48(1): 281-286.
Zhang Y, Zhang Z X, Hua A Z. Application of TSP advanced geological prediction in highway tunnel[J]. West-china Exploration Engineering, 2001, 13(5):71-72.
Cai S. The research on the application of geological prediction technology to Zhangjihuai railway tunnel[J]. Geophysical and Geochemical Exploration, 2021, 45(5):1275-1280.
Zhong S L, Wang R. Reasons for good effect of small and medium-sized caves and dissolved tubes by terrestrial sonar[C]// The Proceedings of 22th Annual Meeting of the Chinese Geophysical Society. Beijing: Chinese Geophysical Society, 2006:213.
Deng G W, Wang Q R, Liao J P, et al. Forward modeling and advanced detection of radar in adverse geological phenomena tunnel[J]. Geophysical and Geochemical Exploration, 2015, 39(3):651-656.
Li S C, Liu B, Li S C, et al. Study of advanced detection for tunnel water-bearing geological structures with induced polarization method[J]. Chinese Journal of Rock Mechanics and Engineering, 2011, 30(7):1297-1309.
Zhou W L, Xi C Q, Hu Z A, et al. The application of parallel resistivity method to geological conditions detection of tunnel construction[J]. Chinese Journal of Engineering Geophysics, 2016, 13(2):166-169.
Lu Y X, Chen H G, Chen J R, et al. Application of the high-density resistivity method to survey tunnels in Zhoushan city[J]. Progress in Geophysics, 2010, 25(6):2174-2183.
Jiang Q K, Lei W, Huang X H, et al. An application of prospecting concealed fault with multi-resistivity method[J]. Journal of Chengdu University of Technology:Science & Technology Edition, 2016, 43(3):378-384.
Liu S C, Liu Z X, Jiang Z H, et al. Some problems in 3d forward simulation of mine direct current method[J]. Geophysical and Geochemical Exploration, 2004, 28(2):170-172,176.
[11]
Ruan B Y, Xiong B. A finite element modeling of 3-D resistivity sounding with continuous conductivity[J]. Chinese Journal of Geophysics, 2002, 45(1):124-131.
doi: 10.1002/cjg2.v45.1
Dai S K, Ling J X, Chen Q R, et al. Three dimensional DC anisotropic resistivity modeling in a mixed space-wavenumber domain[J]. Chinese Journal of Geophysics, 2022, 65(7):2729-2740.
Luo D G, Liu J P, Wang J, et al. Study on the response characteristics and application of high density resistivity method of active fault[J]. Progress in Geophysics, 2014, 29(4):1920-1925.
Li Z P. Application of 3-D resistivity inversion based on Winner device of high density electricity method[J]. Progress in Geophysics, 2020, 35(3):970-975.
Wang Z P, Liu J P, Yi L. Effect and application of 2D and 3D high density resistivity method for fault detection[J]. Science Technology and Engineering, 2019, 19(25):75-82.
Zhu R, Li Z H, Shi X Y, et al. Application of 3D electrical resistivity tomography to buried fault detection[J]. Yellow River, 2019, 41(11):106-109,143.
Liu B, Li S C, Nie L C, et al. Advanced detection of water-bearing geological structures in tunnels using 3D DC resistivity inversion tomography method[J]. Chinese Journal of Geotechnical Engineering, 2012, 34(10):1866-1876.
Wu R X, Liu S D, Zhang P S. The exploration of two-gateways parallel 3-D electrical technology for water-rich area within coal face floor[J]. Journal of China Coal Society, 2010, 35(3):454-457.
Tan L, Zhang P S, Wu R X. Experimental study of parallel electrical imaging in concealed cave[J]. Journal of Kunming University of Science and Technology:Natural Science Edition, 2015, 40(2):38-43.
Zhang X, Zhao M J, Wang K, et al. Application of 3D electrical resistivity tomography to a tunnel in a Karst area[J]. Carsologica Sinica, 2016, 35(3):291-298.
Zhang P S, Liu S D, Wu R X, et al. Dynamic detection of overburden deformation and failure in mining workface by 3d resistivity method[J]. Chinese Journal of Rock Mechanics and Engineering, 2009, 28(9):1870-1875.
Wu R X, Liu S D, Zhang P S, et al. Detection of limestone water-conducting channels in coal mine by parallel 3d electric method of surface boreholes[J]. Chinese Journal of Rock Mechanics and Engineering, 2010, 29(S2):3585-3589.
[23]
Loke M H, Dahlin T. A comparison of the Gauss-Newton and quasi-Newton methods in resistivity imaging inversion[J]. Journal of Applied Geophysics, 2002, 49(3):149-162.
doi: 10.1016/S0926-9851(01)00106-9
[24]
Loke M H, Barker R D. Practical techniques for 3D resistivity surveys and data inversion 1[J]. Geophysical Prospecting, 1996, 44(3):499-523.
doi: 10.1111/gpr.1996.44.issue-3
Liu S D, Wu R X, Zhang P S, et al. Three-dimensional parallel electric surveying and its applications in water disaster exploration in coal mines[J]. Journal of China Coal Society, 2009, 34(7):927-932.
Ren Z Y, Tang J T. Finite element modeling of 3-D DC resistivity using locally refined unstructured meshes[J]. Chinese Journal of Geophysics, 2009, 52(10):2627-2634.
Zhou W L, Wu R X, Xiao Y L. Back analysis of high density resistivity method in the water-bearing Karst cave[J]. Carsologica Sinica, 2016, 35(6):699-705.
Ou Y C, Zhang P S, Li J N, et al. Bischofia polycarpa root spatial distribution detection test research based on parallel electrical method[J]. Science Technology and Engineering, 2017, 17(10):131-135.