ORIGINAL RESEARCH
Study on the Stability of Loess Landslides
Based on Vegetation Characteristics
and the Geo-Studio Model
More details
Hide details
1
Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources,
Yangling, Shaanxi, China
2
Research Center of Soil and Water Conservation and Ecological Environment,
Chinese Academy of Sciences and Ministry of Education, Yangling, Shaanxi, China
3
University of Chinese Academy of Sciences, Beijing, China
4
Shaanxi Provincial Land Engineering Construction Group Co., Ltd, Xi’an, Shaanxi, China
5
Technology Innovation Center for Land Engineering and Human Settlements, Shaanxi Land Engineering Construction
Group Co., Ltd, School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China
Submission date: 2024-03-24
Final revision date: 2024-05-28
Acceptance date: 2024-06-12
Online publication date: 2024-12-16
Publication date: 2025-05-09
Corresponding author
Guobin Liu
Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources,
Yangling, Shaanxi, China
Pol. J. Environ. Stud. 2025;34(4):4143-4153
KEYWORDS
TOPICS
ABSTRACT
As the central accumulation area of the Loess Plateau in Shaanxi Province, China, Loess landslides
occur frequently, which seriously affect the safety of people’s lives and properties. The prediction
and early warning of landslides are the hot spots of geological disaster research, and the prediction
of the stability of Loess landslides can provide a reference basis for the prevention and management
of landslides. This study takes a typical Loess landslide site in Ganquan County, Yan’an City, as
the research object. By collecting soil samples from the landslide body for indoor simulation tests
and analyzing and testing the changes in the basic physical and mechanical properties of the soil
under different plant root densities and different precipitation conditions, the stability of shallow Loess
landslides on the Loess Plateau was simulated using Geo-Studio software. The analysis shows that
the stability coefficient of the natural root density of Zhangzi slope soil is 0.889, which belongs to
the unstable state, and under the condition of 1.5 times root density, its stability coefficient increases to
1.246, which belongs to the stable state, while at 2 times root density, its stability coefficient decreases
to 0.973, which belongs to unstable state, and the stability of its root-soil complex is 1.5 times root
density > 2.0 times root density > natural root density. Under different soil water content conditions,
the stability of the slope shows a trend of decreasing with increasing water content. Under the condition
of 10% soil water content, the stability coefficient of the landslide slope is 1.123, which is the basic stability state; under the condition of 20% soil water content, the stability coefficient drops to 0.886,
which is the unstable state; under the condition of 30% soil water content, the stability coefficient is
0.724, which indicates that precipitation has a great influence on the stability of Loess landslides.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (46)
1.
PU S.R. Constraints and triggering causes of Loess landslides in Shaanxi. Resource Environment and Engineering, 22, 133, 2008.
2.
ZHUANG J.Q., PENG J.B., ZHANG L.Y. Prediction and evaluation of the risk of shallow landslides on Loess plateau under different rainfall conditions. Journal of Jilin University: Earth Science Edition, 3, 867, 2013.
3.
GAO J.L., ZHANG J.G. Characteristics of changes in key soil and water conservation measures in Loess hilly gully areas. Soil and Water Conservation Bulletin, 39 (003), 114, 2019.
4.
ZHANG S., JIA HE., WANG C., WANG X., HE S., JIANG P. Deep-learning-based landslide early warning method for loose deposits slope coupled with ground water and rainfall monitoring. Computers and Geotechnics, 165, 176, 2024.
https://doi.org/10.1016/j.comp....
5.
LIU L., DENG J., YU T. A Dynamic Management and Integration Framework for Models in Landslide Early Warning System. ISPRS International Journal of Geo-Information, 12, 5, 2023.
https://doi.org/10.3390/ijgi12....
6.
SU X., WEI W.H., GUO W.Q. Analysis of the influence of topographic relief on Loess landslides in Tianshui City based on SRTM DEM. Glacial Permafrost, 39 (3), 616, 2017.
7.
LIU Y., HUANG J., XIAO R., MA S., ZHOU P. Research on a Regional Landslide Early-Warning Model Based on Machine Learning-A Case Study of Fujian Province, China. Forests, 13, 2182, 2022.
https://doi.org/10.3390/f13122....
8.
KANG C., CHEN W.W., ZHANG F.Y. Application of deterministic model in predicting slope stability in Loess gully area. Geotechnics, 32 (1), 207, 2011.
9.
CHEN M., CAI Z., ZENG Y., YU Y. Multi-sensor data fusion technology for the early landslide warning system. Journal of Ambient Intelligence and Humanized Computing, 14 (8), 11165, 2022.
https://doi.org/10.1007/s12652....
10.
GUO Y., XU Z., ZHU S., LUO X., XIAO Y. Using distributed root soil moisture data to enhance the performance of rainfall thresholds for landslide warning. Natural Hazards, 115 (2), 167, 2022.
https://doi.org/10.1007/s11069....
11.
XU Q., PENG D.L., HE C.Y. Research on the theoretical method of monitoring and early warning of sudden Loess landslides, the case of Hefangtai in Gansu. Journal of Engineering Geology, 28 (1), 11, 2020.
12.
HUANG M., WENG H., HONG C., XU X., TAO Z. Novel Intelligent Approach for the Early Warning of Rainfall-Type Landslides Based on the BRB Model. International Journal of Geomechanics, 22, 10, 2022.
https://doi.org/10.1061/(ASCE)....
13.
FUSTOS T., MANQUE R., VÁSQUEZ A., HERMOSILLA S.M., LETELIER G.V. Rainfall induced landslide early warning system based on corrected mesoscale numerical models: an application for the southern Andes. Natural Hazards and Earth System Sciences, 22 (6), 2169, 2022.
https://doi.org/10.5194/nhess-....
14.
ZHOU F., XU Q., QI X. Study on the mechanism of irrigation-induced sudden Loess landslides. Journal of Mountain Science, 38 (1), 10, 2020.
15.
ZHENG Y.W., LIU H.F. Influence of rainfall on the stability of Loess landslides--a landslide in Ganquan County as an example. Natural Science (Digest Edition), 000 (002), 00169, 2016.
16.
SHI C. Investigation on Soil Fertility of Newly Increased Cultivated Land after Wasteland Improvement in Loess Hilly Region-a Case Study in Ganquan County, Shaanxi Province. IOP Conference Series: Materials Science and Engineering, 394, 5, 2019.
https://doi.org/10.1088/1757-8....
17.
FAN L.M., LI Y., NING K.B., TENG H.Q., WANG Q.Y., ZHANG X.Y. Small-scale landslides in Loess gully areas cause catastrophes and their mechanisms. Disaster Science, 30 (3), 14, 2015.
18.
CÉLINE L.N.M.B., OLIVIER C. Does a decade of soil organic fertilization promote copper and zinc phytoavailability? Evidence from a laboratory biotest with field-collected soil samples. The Science of the Total Environment, 906, 167771, 2023.
https://doi.org/10.1016/j.scit... PMid:37844634.
19.
CHANG C.Y., BO J.S., LI X.B., QIAO F., YAN D.H. A BP neural network model for predicting slip distance of seismic Loess landslides. Journal of Earthquake Engineering, 42 (6), 6, 2020.
20.
LONG J.H., NI X.L., ZHAO B.Q., ZHANG J.N. Analysis of the landslide mechanism of a large vegetation-filled site in a Loess ravine. Journal of Natural Hazards, 29 (6), 8, 2020.
21.
CHEN Q., CUI D.S., WANG J.G., LIU Q.B. Experimental study of creep in landslide zone soils of Loess slopes under different consolidation conditions. Geotechnics, 41 (5), 8, 2020.
22.
JIE F., FAN Y., CHENG J., WU H. The Spatio-Temporal Evolution Characteristics of the Vegetation NDVI in the Northern Slope of the Tianshan Mountains at Different Spatial Scales. Sustainability, 15, 8, 2023.
https://doi.org/10.3390/su1508....
23.
TAKEHIRO O., ATSUSHI H., TOMOYUKI T., AKIHIRO K. Topographical Attribute and Vegetation Change on Increase of Topography of Landslide Disaster. Journal of the Japan Society of Engineering Geology, 49 (4), 204, 2008.
https://doi.org/10.5110/jjseg.....
24.
YANG S., CHANG C.Y., LI X.B., HAN X. A rapid evaluation method for seismic stability of Loess slopes based on logistic regression model. Journal of Earthquake Engineering, 42 (2), 5, 2020.
25.
LI W.Y., WANG X.L. Application and comparison of frequency ratio and information quantity models in the evaluation of landslide susceptibility in Loess gully areas. Journal of Natural Hazards, 29 (4), 8, 2020.
26.
AMIN M.N. Computer-Aided Slope Stability Analysis of a Landslide - A Case Study of Jhika Gali Landslide in Pakistan. Sustainability, 14 (20), 12954, 2022.
https://doi.org/10.3390/su1420....
27.
ZENG C.L., LI R., GUAN X.D., ZHANG S., BAI W.S. Experimental study of rainfall infiltration characteristics of Loess slopes under different rainfall intensities. Journal of Geotechnical Engineering, 1, 5, 2020.
28.
YANG L., MOU X.L., LI C., ZHENG X., YUE D.X. Evaluation of geological hazard risk in Baota District, Yan'an City. Journal of Mountain and Earth Sciences, 38 (5), 12, 2020.
29.
DAI Z.S., WANG Y.Q., MA C., WANG Y.J., WANG X.H., LI M.Y. Dynamic slope stabilization effect of acacia in Loess hills and gullies. Journal of Soil and Water Conservation, 34 (5), 9, 2020.
30.
HUANG J.K., WANG X.L., J.N., CHEN L.H., ZHANG Z.W. Simulation of soil consolidation effect of herbaceous plants on Loess plateau based on asymptotic homogenization theory. Journal of Agricultural Engineering, 36 (9), 9, 2020.
31.
TAHA T.A., YUKSEL Y. Hydro-Mechanical Behaviour of a Rainfall-Induced Landslide by Instrumental Monitoring: Landslide - Rainfall Threshold of the Western Black Sea Bartin Region of Türkiye. Applied Sciences, 13, 15, 2023.
https://doi.org/10.3390/app131....
32.
DOU H., WANG R., WANG H., JIAN W. Rainfall early warning threshold and its spatial distribution of rainfall-induced landslides in China. Rock Mechanics Bulletin, 2, 3, 2023.
https://doi.org/10.1016/j.rock....
33.
ZHU W.F., ZHAO C., ZHANG Q., KANG Y. Identification and monitoring of Hefangtai Loess landslide using InSAR. Survey and Mapping Science, 44 (5), 7, 2019.
34.
FENG T., QI Y., ZHANG Y., FAN D., WEI T. Long-term effects of vegetation restoration and forest management on carbon pools and nutrient storages in northeastern Loess Plateau, China. Journal of Environmental Management, 354, 120296, 2024.
https://doi.org/10.1016/j.jenv... PMid:38341910.
35.
FAN C., TANG F., TAN Q.W., YANG Y.M., WEN T. Slip zone soil ring shear test and its insight into the proslide strength of reservoir landslides. Journal of Geotechnical Engineering, 41 (9), 9, 2019.
36.
SHEN Y.D., QIU N., HU S., LIU Z.J., ZHANG Y., YANG D., CAO M. Hydrogeological structure detection and failure cause analysis of Loess plateau landslides. Quaternary Research, 39 (6), 11, 2019.
37.
ZHANG S., PEI X.J., HUANG R.Q., ZHANG X.C., CHANG Z.L., ZHANG Z.D. Model tests on rainfall infiltration characteristics and deformation damage modes of Loess fill slopes. Chinese Journal of Highways, 32 (9), 11, 2019.
38.
SUN P.P., ZHANG M.S., CHENG X.J., HUANG Y.H., XUE Q., LIU J. Occurrence patterns of geological hazards on the Loess Plateau. Journal of Mountain Science, 37 (5), 10, 2019.
39.
BAI Z.N., PENG L., SHEN Y., LI J.G., ZHENG L.C. Characteristics and mechanism of the Zhangjiawan mega-landslide in Xining. Science, Technology and Engineering, 3, 927, 2021.
40.
XIE W.L., TENG H.Q., DU L., GAI H.L., CHENG T.E., HUANG B. Application of GIS-based combined with fuzzy information method in hazard hazard zoning--a case study of avalanche slide geological hazards in Daxian area. Disaster Science, 33 (3), 6, 2018.
41.
LI R.W., WANG N.Q. Coupling analysis of geological hazards and influencing factors in Yan'an City. Science, Technology and Engineering, 19 (17), 7, 2019.
42.
LI Y.H., LIU H.N., FAN L.M., HE W.Z., JI Y.W., ZHAO Z.H. Distribution pattern of geological hazards in the fragile ecological environment of Yushenfu, Shaanxi. Chinese Journal of Geological Hazards and Prevention, 3, 6, 2016.
43.
CAI H.E., ZHANG J.W., QIN G.P., TANG H. Analysis of geological hazard susceptibility in Yan'an Loess hilly gully area. Journal of Earthquake Engineering, 37 (B07), 6, 2015.
44.
QIU H.J., CUI P., CAO M., LIU W., GAO Y., WANG Y. Min. Research on the scale frequency distribution of geological hazards in Loess hilly areas based on the principle of maximum entropy. Geotechnics, 35 (12), 10, 2014.
45.
HUANG Y.H., WU W.Y., FENG W., LI Z.G. Major types and characteristics of geological hazards induced by the "7.3 rainstorm" in Yan'an, northern Shaanxi. Northwest Geology, 3, 140, 2014.
46.
YIN C., MENG H., LIAN J.F., ZHAO W.J. Response of geohazards to climate change based on different time scales. Geological Review, 59 (6), 1110, 2013.