Geophysical disaster detection of loess under extreme climate conditions

SiYuan DONG, ZhaoFa ZENG, Shuai ZHOU, YanGang WU, JianWei ZHAO

Prog Geophy ›› 2024, Vol. 39 ›› Issue (4) : 1648-1657.

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Prog Geophy ›› 2024, Vol. 39 ›› Issue (4) : 1648-1657. DOI: 10.6038/pg2024HH0241

Geophysical disaster detection of loess under extreme climate conditions

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Abstract

Loess has very obvious collapsibility and water sensitivity. During the process of water infiltration, the hydraulic conditions of loess undergo significant changes, which is highly prone to inducing a large number of geological disasters such as loess landslides. This feature is more obvious under special extreme climate conditions, such as rainstorm, temperature upheaval, etc., which can induce a variety of geological disasters. Through rapid geophysical exploration, it is of great significance to determine the changes in the physical properties of loess at different depths, as well as the distribution and changes of cracks, for the analysis, prediction, and early warning of disasters. This article analyzes and summarizes the applicability of different detection techniques in detecting the characteristics of loess landslides. Through typical application cases, the actual application effects of different methods are demonstrated, and the development trend of future loess disaster detection is prospected, providing reference and suggestions for the development of geophysical detection technology for loess disaster in the next step.

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SiYuan DONG , ZhaoFa ZENG , Shuai ZHOU , et al . Geophysical disaster detection of loess under extreme climate conditions[J]. Progress in Geophysics. 2024, 39(4): 1648-1657 https://doi.org/10.6038/pg2024HH0241

References

Assadi-Langroudi A , Ng'ambi S , Smalley I . Loess as a collapsible soil: Some basic particle packing aspects. Quaternary International, 2018, 469 20-29
Barnhardt W A , Kayen R E . Radar structure of earthquake-induced, coastal landslides in Anchorage, Alaska. Environmental Geosciences, 2000, 7(1): 38 45
Barton N . . Rock Quality, Seismic Velocity, Attenuation and Anisotropy London, UK CRC Press 2006
Bichler A , Bobrowsky P , Best M . Three-dimensional mapping of a landslide using a multi-geophysical approach: the Quesnel Forks landslide. Landslides, 2004, 1(1): 29-40
Bièvre G , Jongmans D , Winiarski T . Application of geophysical measurements for assessing the role of fissures in water infiltration within a clay landslide (Trièves area, French Alps). Hydrological Processes, 2012, 26(14): 2128-2142
Chambers J E , Wilkinson P B , Kuras O . Three-dimensional geophysical anatomy of an active landslide in Lias Group mudrocks, Cleveland Basin, UK. Geomorphology, 2011, 125(4): 472-484
Danneels G , Bourdeau C , Torgoev I . Geophysical investigation and dynamic modelling of unstable slopes: case-study of Kainama (Kyrgyzstan). Geophysical Journal International, 2008, 175(1): 17-34
Davis J L , Annan A P . Ground-penetrating radar for high-resolution mapping of soil and rock stratigraphy. Geophysical Prospecting, 1989, 37(5): 531-551
Derbyshire E , Dijkstra T A , Smalley I J . Failure mechanisms in loess and the effects of moisture content changes on remoulded strength. Quaternary International, 1994, 24 5-15
Ermini L , Casagli N , Farina P . Landslide dams: analysis of case histories and new perspectives from the application of remote sensing monitoring techniques to hazard and risk assessment. Italian Journal of Engineering Geology and Environment, 2006 Special 1): 45-52
Feng L , Zhang S S , Jin Z . The critical mechanics of the initiation of loess flow failure and implications for landslides. Engineering Geology, 2021, 288 106165
Garakani A A , Haeri S M , Khosravi A . Hydro-mechanical behavior of undisturbed collapsible loessial soils under different stress state conditions. Engineering Geology, 2015, 195 28-41
Garambois S , Sénéchal P , Perroud H . On the use of combined geophysical methods to assess water content and water conductivity of near-surface formations. J. Hydrol., 2002, 259(1-4): 32-48
Göktürkler G , Balkaya Ç , Erhan Z . Geophysical investigation of a landslide: The Altında g ˇ landslide site, I zmir (western Turkey). Journal of Applied Geophysics, 2008, 65(2): 84-96
Grandjean G , Hibert C , Mathieu F . Monitoring water flow in a clay-shale hillslope from geophysical data fusion based on a fuzzy logic approach. Comptes Rendus. Géoscience, 2009, 341(10-11): 937-948
Griffiths D H , Barker R D . Two-dimensional resistivity imaging and modelling in areas of complex geology. Journal of Applied Geophysics, 1993, 29(3-4): 211-226
Jongmans D , Garambois S . Geophysical investigation of landslides: a review. Bulletin de la Société Géologique de France, 2007, 178(2): 101-112
Le Roux O , Jongmans D , Kasperski J . Deep geophysical investigation of the large Séchilienne landslide (western Alps, France) and calibration with geological data. Engineering Geology, 2011, 120(1-4): 18-31
Li Y R , Zhang T , Zhang Y B . Geometrical appearance and spatial arrangement of structural blocks of the Malan loess in NW China: implications for the formation of loess columns. Journal of Asian Earth Sciences, 2018, 158 18-28
Ling C P , Xu Q , Zhang Q . Application of electrical resistivity tomography for investigating the internal structure of a translational landslide and characterizing its groundwater circulation (Kualiangzi landslide, Southwest China). Journal of Applied Geophysics, 2016, 131 154-162
Lissak C , Maquaire O , Malet J P . Ground-penetrating radar observations for estimating the vertical displacement of rotational landslides. Natural Hazards and Earth System Sciences, 2015, 15(6): 1399-1406
Liu D , Zhang F Y , Chen L . Application of high-density electrical method in detecting and 3D modeling of loess landslide. Progress in Geophysics, 2022, 37(4): 1742-1748
Lucas D R , Fankhauser K , Springman S M . Application of geotechnical and geophysical field measurements in an active alpine environment. Engineering Geology, 2017, 219 32-51
Luongo R , Perrone A , Piscitelli S . A prototype system for time-lapse electrical resistivity tomographies. International Journal of Geophysics, 2012, 2012 176895
Malet J P , Van Asch T W J , Van Beek R . Forecasting the behaviour of complex landslides with a spatially distributed hydrological model. Natural Hazards and Earth System Sciences, 2005, 5(1): 71-85
McCann D M , Forster A . Reconnaissance geophysical methods in landslide investigations. Engineering Geology, 1990, 29(1): 59-78
Nogoshi M , Igarashi T . On the amplitude characteristics of microtremor (part 2). Journal of the Seismological Society of Japan, 1971, 24(1): 26-40
Palis E , Lebourg T , Vidal M . Multiyear time-lapse ERT to study short-and long-term landslide hydrological dynamics. Landslides, 2017, 14(4): 1333-1343
Parsekian A D , Singha K , Minsley B J . Multiscale geophysical imaging of the critical zone. Reviews of Geophysics, 2015, 53(1): 1-26
Perrone A , Iannuzzi A , Lapenna V . High-resolution electrical imaging of the Varco d'Izzo earthflow (southern Italy). Journal of Applied Geophysics, 2004, 56(1): 17-29
Peterson J R . Observations and modeling of seismic background noise. U.S. Geological Survey, 1993
Renalier F , Jongmans D , Campillo M . Shear wave velocity imaging of the Avignonet landslide (France) using ambient noise cross correlation. Journal of Geophysical Research: Earth Surface, 2010, 115(F3): F03032
Roering J J , Stimely L L , Mackey B H . Using DInSAR, airborne LiDAR, and archival air photos to quantify landsliding and sediment transport. Geophys. Res. Lett., 2009, 36(19): L19402
Rosso R , Rulli M C , Vannucchi G . A physically based model for the hydrologic control on shallow landsliding. Water Resources Research, 2006, 42(6): W06410
Sastry R G , Mondal S K . Geophysical characterization of the Salna sinking zone, Garhwal Himalaya, India. Surveys in Geophysics, 2013, 34(1): 89-119
Scaioni M , Longoni L , Melillo V . Remote sensing for landslide investigations: an overview of recent achievements and perspectives. Remote Sens., 2014, 6(10): 9600-9652
Schrott L , Sass O . Application of field geophysics in geomorphology: Advances and limitations exemplified by case studies. Geomorphology, 2008, 93(1-2): 55-73
Smalley I J , Jefferson I F , Dijkstra T A . Some major events in the development of the scientific study of loess. Earth-Science Reviews, 2001, 54(1-3): 5-18
Springman S M , Thielen A , Kienzler P . A long-term field study for the investigation of rainfall-induced landslides. Géotechnique, 2013, 63(14): 1177-1193
Uhlemann S , Chambers J , Wilkinson P . Four-dimensional imaging of moisture dynamics during landslide reactivation. Journal of Geophysical Research: Earth Surface, 2017, 122(1): 398-418
Walter F , Amann F , Kos A . Direct observations of a three million cubic meter rock-slope collapse with almost immediate initiation of ensuing debris flows. Geomorphology, 2020, 351 106933
Wang K B , Deng L , Shangguan Z P . Sustainability of eco-environment in semi-arid regions: Lessons from the Chinese Loess Plateau. Environmental Science & Policy, 2021, 125 126-134
Whiteley J S , Chambers J E , Uhlemann S . Geophysical monitoring of moisture-induced landslides: A review. Reviews of Geophysics, 2019, 57(1): 106-145
Xia S B , Xu X G . Application of high definition electricity method in loess sinkhole exploration. China Energy and Environmental Protection, 2012 8): 38-40 38-40, 125
Xiao X , Liu Z K , Gao Y H . Application of high density resistivity method in loess landslide exploration. Yangtze River, 2015, 46(17): 49-52
Zhang F Y , Wang G H . Effect of irrigation-induced densification on the post-failure behavior of loess flowslides occurring on the Heifangtai area, Gansu, China. Engineering Geology, 2018, 236 111-118
Zhao C Y , Liu X J , Zhang Q . Research on loess landslide identification, monitoring and failure mode with InSAR technique in Heifangtai, Gansu. Geomatics and Information Science of Wuhan University, 2019, 44(7): 996-1007
Zieliński , Artur . Use of GPR method for investigation of the mass movements development on the basis of the landslide in Kałków. Roads and bridges-Drogi i mosty, 2016, 15 61-70
, 帆宇 , . 高密度电法在黄土滑坡结构探测与三维建模中的应用. 地球物理学进展, 2022, 37(4): 1742-1748
书兵 , 新刚 . 高密度电法在黄土落水洞勘察中的应用. 中州煤炭, 2012 8): 38-40 38-40, 125
, 之葵 , 伊航 . 高密度电法在黄土滑坡勘察中的应用. 人民长江, 2015, 46(17): 49-52
超英 , 晓杰 , . 甘肃黑方台黄土滑坡InSAR识别、监测与失稳模式研究. 武汉大学学报(信息科学版), 2019, 44(7): 996-1007

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