过刊目录

  • 2021年, 18卷, 第01期
    刊出日期:2024-06-19
      

  • 全选
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  • David HUNTLEY, Peter BOBROWSKY, Roger MACLEOD, Robert COCKING, Jamel JOSEPH, Drew ROTHERAM-CLARKE
    2021, 18(01): 1-20.
    This paper presents a novel approach to continuously monitor very slow-moving translational landslides in mountainous terrain using conventional and experimental differential global navigation satellite system(d-GNSS) technologies. A key research question addressed is whether displacement trends captured by a radio-frequency "mobile"d-GNSS network compare with the spatial and temporal patterns in activity indicated by satellite interferometric synthetic aperture radar(InSAR) and unmanned aerial vehicle(UAV) photogrammetry.Field testing undertaken at Ripley Landslide, near Ashcroft in south-central British Columbia, Canada,demonstrates the applicability of new geospatial technologies to monitoring ground control points(GCPs) and railway infrastructure on a landslide with small and slow annual displacements(<10 cm/yr).Each technique records increased landslide activity and ground displacement in late winter and early spring. During this interval, river and groundwater levels are at their lowest levels, while ground saturation rapidly increases in response to the thawing of surficial earth materials, and the infiltration of snowmelt and runoff occurs by way of deep-penetrating tension cracks at the head scarp and across the main slide body. Research over the last decade provides vital information for government agencies, national railway companies, and other stakeholders to understand geohazard risk, predict landslide movement, improve the safety, security, and resilience of Canada's transportation infrastructure;and reduce risks to the economy, environment,natural resources, and public safety.
  • ZHAO Bo, WANG Yun-sheng, LI Jia, WANG Jian-lin, TANG Chen-xiao
    2021, 18(01): 21-37.
    A good understanding of giant landslideprone areas could greatly enhance the understanding of the formation and failure mechanisms of giant landslides. In this study, a classic giant landslideprone area named the Diexi area located along the upstream stretch of the Minjiang River on the eastern Tibetan Plateau is adopted to analyze the failure mechanism and evolution process by detailed field investigations, Unmanned Aerial Vehicle(UAV)images and a digital surface model(DSM). The results show that among the 37 giant landslides located in the Diexi area, 18 landslides are transverse landslides(wedge failure), and the others are consequent landslides(buckling failure). All landslides blocked rivers, and some barrier lakes still remain. The Diexi area features special geological structural conditions related to the hinge section of the Jiaochang arc tectonic belt, the intersection of two active fault zones(the Songpinggou and Minjiang fault zones) and high levels of geostress. The numerous radial fissures induced by the Jiaochang arcuate belt provided lateral sliding boundariesfor buckling deformation(consequent landslides) and head scarps for wedge failure(transverse landslides). The rapid incision(1.88 mm/yr) since the middle Pleistocene formed a deep gorge with steep slopes and strong lateral unloading. Frequent earthquakes and rainfall further reduced the rock mass integrity, and strong earthquakes or other factors triggered the landslides.
  • Dariusz STRZY?OWSKI
    2021, 18(01): 38-50.
    Tree uprooting is an important process which leads to many geomorphic consequences.Some of the most important are the transport of sediment and mixing of soil.The aim of this article is to make a detailed examination of the magnitude of sediment transport caused by an extreme windthrow event in three severely affected catchments.Also,a comparison is made of the windthrow event with a mass movement event in the aspect of the magnitude of sediment transport and soil mixing.The study was conducted in three second-to third-order catchments in the Tatra Mountains,where a strong foehn wind event caused extensive windthrow in 2013,and a high-magnitude rainfall event triggered mass movements in 2007.The volume of sediment uplifted by the uprooting event was calculated based on the mapping of root plates using high-resolution (0.04 m)aerial images and measurements of root plate volumes conducted in the field.The volume of sediment transported by shallow landslides was determined based on a Digital Elevation Model (DEM1-m resolution).Windthrows affected 34%,76%,and94%of the area of the investigated catchments.Most of the trees had fallen downslope.The direction of treefall was influenced by the slope aspect and steepness.Root plates and pits covered 1.3%,4.8%,and 5.4%of the area of the catchments.Sediment flux generated by the uprooting event,calculated for the entire area of each investigated catchment ranged from 8.1×10~(–4 )to 9.9×10~(–3 )m~(3 )m~(–1 )event~(–1).This was notably lower than the sediment flux generated by the mass movement event (also calculated for the entire area of each catchment),which was 1.8-6.1×10~(–2)m~(3 )m~(–1 )event~(–1).By contrast,uprooting affected a much larger area than the mass movement event,which underlines its significant role in the mixing of soil.
  • TANG Wang, DING Hai-tao, CHEN Ning-sheng, MA Shang-Chang, LIU Li-hong, WU Kang-lin, TIAN Shu-feng
    2021, 18(01): 51-67.
    Accurate prediction on geological hazards can prevent disaster events in advance and greatly reduce property losses and life casualties. Glacial debris flows are the most serious hazards in southeastern Tibet in China due to their complexity in formation mechanism and the difficulty in prediction.Data collected from 102 glacier debris flow events from 31 gullies since 1970 and regional meteorological data from 1970 to 2019 in ParlungZangbo River Basin in southeastern Tibet were used for Artificial Neural Network(ANN)-based prediction of glacial debris flows. The formation mechanism of glacial debris flows in the ParlungZangbo Basin was systematically analyzed, and the calculations involving the meteorological data and disaster events were conducted by using the statistical methods and two layers fully connected neural networks. The occurrence probabilities and scales of glacial debris flows(small, medium, and large) were predicted, and promising results have been achieved. Through the proposed model calculations, a prediction accuracy of 78.33% was achieved for the scale of glacial debris flows in the study area. The prediction accuracy for both large-and medium-scale debris flows are higher than that for small-scale debris flows. The debris flow scale and the probability of occurrence increase with increasing rainfall and temperature. In addition, the K-fold cross-validation method was used to verify the reliability of the model. The average accuracy of the model calculated under this method is about 93.3%,which validates the proposed model. Practices have proved that the combination of ANN and disaster events can provide sound prediction on geological hazards under complex conditions.
  • Christian BALLA ATEBA, Sébastien OWONA, Moussa NSANGOU NGAPNA, Véronique MANGA TSIMI, Dieudonné MINYEM, Joseph MVONDO ONDOA
    2021, 18(01): 68-87.
    The Douala-Buea Region(DBR; 4°-5°N, 9°-10°30'E), a portion of the southern Cameroon passive margin, developed on the Proterozoic granito-gneissic basement and the Cretaceous to Recent volcanosedimentary cover, was explored in order to evaluate the lithology and tectonics controls on its landscape usingthequalitativeandquantitative geomorphological analyses based on 30 m resolution Digital Elevation Models(DEM) and field evidences.This area displays an uneven and complex landscape differentiated into four morphological units: Douala,Nkondjock, Kumba and Buea Units. The Douala Unit corresponds to the Coastal Plain and is extended on the Douala-Kribi/Camposedimentarybasin.The Nkondjock Unit represents a middle plateau developed on a Proterozoic granito-gneissic basement. The Kumba Unit matches with the southernmost volcanic Western Cameroon High Plateau. The Buea Unit corresponds to the Mount Cameroon stratovolcano.The relief analysis through mountain-front sinuosity(Smf, 1.19–1.43) and relative relief ratio(Rr, 0.10–2.31)vary from one unit to another. The drainage network analysis including drainage patterns, stepped longitudinalriverprofiles,theassociated morphometric indexes, notably the concavity index(IC,0.56–0.88), deviation(D, 267–2912 m), basin asymmetry factor(A_F, 6.37–42.12), hypsometric integral(HI, 0.10–0.29), valley floor width to valley height ratio(V_f, 0.36–2.75), elongation ratio(R_e, 0.30–0.50), watershed slope(S, 6.88–88.88) and stream length gradient index(SL, 0–3332) vary from one basin to another too. These results also show the heterogeneous and uneven DBR landscape controlled by its lithology and active tectonics. The drainage system reveals concave to concavo-convex longitudinal river profile shapes with knick points, asymmetric basins, and fault reactivations, and highlights the tectonics activity that used to occur through the time and their control on the morphology. Together, they document the lithostructural controls on the DBR landscape evolution, extendable in the whole SW Cameroon margin.
  • LI Jun, CHEN Lu-wang, HAO Chun-ming, ZHANG Jie, CHEN Song, GUI He-rong
    2021, 18(01): 88-100.
    The Permian is an important period for the deposition of siliceous rocks on a global scale, but the genesis of chert is still controversial. To better understand the mechanism of chert nodules deposition from Qixia Formation(P_1q)(Lower Yangtze Plate, China), we analyzed the major, trace and rare earth elements of these chert nodule samples(CN) and surrounding rock samples(SR) using Inductively Coupled Plasma Mass Spectrometry(ICPMS) and X-ray fluorescence(XRF) technique. The redox state, siliceous sources and depositional environment analysis show that CN have higher contents of SiO_2, Fe_2O_3 and MnO comparing with SR,and their geochemical properties are different. Trace and rare earth elements characteristics reveal that nodules were deposited under the action of biochemistry in the basin, no terrigenous materials contamination was observed and the contribution of upwelling was emphasized. The Al/(Al+Fe+Mn),Fe/Ti and Al-Fe-Mn discrimination diagram indicated the chert nodules are influenced by hydrothermal action. Evidence from redox-sensitive elements such as Th, U, V and Sc suggests that nodules were deposited in a reducing environment. In the convective mixing of hydrothermal action and normal seawater, excessive dissolved silicon and nutrients are absorbed and precipitated by biological action, and then transported by upwelling to shallow water for deposition. All the evidence comes from the trace elements enrichment characters, Rare earth elements and Y(REY) distribution patterns and La/La*, Ce/Ce*,Eu/Eu*, LREE/HREE, Y/Ho and ∑REE characteristics.
  • CAI Guo-lin, SHEN Dong, ZHANG Ao-li, YU Hai-hua, ZHANG Xuan-yu
    2021, 18(01): 101-110.
    To extract the high-quality DEM in complicated mountain areas, a DEM fusion method for ascending and descending orbit StereoSAR DEMs considering Synthetic Aperture Radar(SAR) echo intensity is proposed. After the analysis for the influence of terrain features and SAR side-looking imaging characteristics on radar echo intensity and DEM accuracy, four Terras AR-X images with the stripmap mode and the 3 m spatial resolution covering a certain area of Maoxian County, Sichuan Province, China, was selected as the experimental area. StereoSAR technology was used to extract the ascending orbit StereoSAR DEM and the descending orbit StereoSAR DEM, respectively, and the corresponding radar echo intensity map was calculated. Then, while comparing the radar echo intensity corresponding to the same point position,DEM fusion was carried out, and the accuracy of DEM before and after the fusion was analyzed with the ground points measured by GNSS-RTK as reference data. Finally, a high-quality DEM with a 3 m spatial resolution in the experimental area was obtained. The DEM accuracy was improved on all slopes, and the mean absolute deviation(MAD) improved to 4.798 m,the standard deviation(SD) improved to 6.087 m and the LE90 improved to 40.48 m. The experimental results indicate that the fusion method of highresolution ascending and descending orbit StereoSAR DEMs considering SAR echo intensity can effectively extract DEM with high accuracy and reliability, which can provide technical support for obtaining highquality terrain information in similar areas.
  • CHEN Tai-li, SHI Zhong-lin, WEN An-bang, YAN Dong-chun, GUO Jin, CHEN Jia-cun, LIU Yuan, CHEN Rui-yin
    2021, 18(01): 111-125.
    Characterizing soil particle-size distribution is a key measure towards soil property.The purpose of this study was to evaluate the multifractal characteristics of soil particle-size distribution among different land-use from a purple soil catchment and to generalize the spatial variation trend of multifractal parameters across the catchment.A total of 84 soil samples were collected from four kinds of land use patterns(dry land, orchard, paddy,and forest) in an agricultural catchment in the Three Gorges Reservoir Region, China. The multifractal analysis method was applied to quantitatively characterize the soil particle size distribution. Six soil particle size distribution(PSD) multifractal parameters(D(0), D(1), D(2),(35)a(q),(35)f[a(q)], α(0))were computed. Additionally, a geostatistical analysis was employed to reveal the spatial differentiation and map the spatial distribution of these parameters.Evident multifractal characteristics were found. The trend of generalized dimension spectrum of four land use patterns was basically consistent with the range of 0.8 to 2.0. However, orchard showed the largest monotonic decline, while the forest demonstrated the smallest decrease. D(0) of the four land use patterns were ranked as: dry land < orchard < forest < paddy,the order of D(1) was: dry land < paddy < orchard
  • Vishakha SOOD, Hemendra Singh GUSAIN, Sheifali GUPTA, Sartajvir SINGH
    2021, 18(01): 126-140.
    Continuous and accurate monitoring of earth surface changes over rugged terrain Himalayas is important to manage natural resources and mitigate natural hazards. Conventional techniques generally focus on per-pixel based processing and overlook the sub-pixel variations occurring especially in case of low or moderate resolution remotely sensed data. However, the existing subpixel-based change detection(SCD) models are less effective to detect the mixed pixel information at its complexity level especially over rugged terrain regions. To overcome such issues, a topographically controlled SCD model has been proposed which is an improved version of widely used per-pixel based change vector analysis(CVA) and hence, named as a subpixel-based change vector analysis(SCVA). This study has been conducted over a part of the Western Himalayas using the advanced wide-field sensor(AWiFS) and Landsat-8 datasets. To check the effectiveness of the proposed SCVA, the cross-validation of the results has been done with the existing neural network-based SCD(NN-SCD) and per-pixel based models such as fuzzybasedCVA(FCVA)andpost-classification comparison(PCC). The results have shown that SCVA offered robust performance(85.6%-86.4%) as comparedtoNN-SCD(81.6%-82.4%),PCC(79.2%-80.4%), and FCVA(81.2%-83.6%). We concluded that SCVA helps in reducing the detection of spurious pixels and improve the efficacy of generating change maps. This study is beneficial for the accurate monitoring of glacier retreat and snow cover variability over rugged terrain regions using moderate resolution remotely sensed datasets.
  • KAPHLE Binija, WANG Jun-bo, KAI Jin-lei, LYU Xin-miao, PAUDAYAL Khum Narayan, ADHIKARI Subash
    2021, 18(01): 141-158.
    High-altitude Himalayan lakes act as natural storage for environmental evidence related to climate change and environmental factors.A great number of lakes are distributed in the southern slope area of the central Himalayas;however,research concerning the hydrochemical processes of these lakes is still insufficient.Herein,we present a comprehensive study on the water chemistry of the lake waters and the inlet stream waters from Rara Lake in western Nepal based upon samples collected in November 2018.The p H,dissolved oxygen,chlorophyll-aconcentration(chl-a),water temperature,electric conductivity (EC) and total dissolved solids (TDS) were measured in situ,and the concentrations of major ions (Ca~(2+),Mg~(2+),K~+,Na~+,Cl~-,SO_(4 )~(2-),and NO_3~-) were analyzed in the laboratory.The results revealed that the water in Rara Lake is slightly alkaline,with p H values ranging from 7.6-7.98.The cations,in decreasing order of concentration in the lake water,are Ca~(2+)>Mg~(2+)>K~+>Na~+with average concentrations of20.64 mg·L~(-1),11.78 mg·L~(-1),1.48 mg·L~(-1 )and 0.72 mg·L~(-1),respectively;the order and concentrations for the anions is HCO_3~->SO_4~(2-)>Cl~->NO_3~-,with average concentrations of 122.15 mg·L~(-1),2.15 mg·L~(-1),0.46mg·L~(-1 )and 0.55 mg·L~(-1),respectively.The dominant cation and anion in the lake water are Ca~(2+)and HCO_3~-and they account for 48.14%and 71.8%of the totals,respectively.The range of lake water TDS is from 95mg·L~(-1 )to 98 mg·L~(-1),with an average of 96.85 mg·L~(-1).The high ratio of (Ca~(2+)+Mg~(2+)) to total cations and the low ratio of (Na~++K~+) to total cations indicate that Rara Lake receives ions from rock weathering,especially from carbonate rocks.Similarly,Gibbs boomerang diagrams and Piper diagrams also support the hydrochemistry of Rara Lake as being dominated by rock-weathering patterns.Likewise,other statistical analysis tools,such as Principal Component Analysis (PCA) and correlation strongly suggest the dominance of weathering of calcium and magnesium bicarbonate rocks as the major source of ions in Rara Lake.However,several traces of anthropogenic inputs into the lake were noticed,and the hypolimnion in the lake appears to be oxygen deficient,which may not be an issue at present but cannot be ignored in the future.
  • XIE Fang-di, WU Xue, LIU Lin-shan, ZHANG Yi-li, Basanta PAUDEL
    2021, 18(01): 159-177.
    Land change is a cause and consequence of global environmental change. Land use and land cover have changed considerably due to increasing human activities and climate change, which has become the core issue of major international research projects. This study interprets land use and land cover status and the changes within the Koshi River Basin(KRB) using Landsat remote sensing(RS) image data, and employs logistic regression model to analyze the influence of natural and socioeconomic driving forces on major land cover changes. The results showed that the areas of built-up land, bare land and forest in KRB increased from 1990 to 2015, including the largest increases in forest and the highest growth rate in construction land. Areas of glacier, grassland,sparse vegetation, shrub land, cropland, and wetland all decreased over the study period. From the perspective of driving analysis, the role of human activities in land use and land cover change is significant than climate factors. Cropland expansion is the reclamation of cropland by farmers, mainly from early deforestation. However,labor force separation, geological disasters and drought are the main factors of cropland shrinkage.The increase of forest area in India and Nepal was attributed to the government's forest protection policies, such as Nepal's community forestry has achieved remarkable results. The expansion and contraction of grassland were both dominated by climatic factors. The probability of grassland expansion increases with temperature and precipitation, while the probability of grassland contraction decreases with temperature and precipitation.
  • ZHAO Yan-nan, FAN Jie, WANG Ya-fei, LIANG Bo, ZHANG Lu
    2021, 18(01): 178-193.
    Economic inequality and poverty are problemsexperiencedbymanycountries.Considerable attention has been paid to these issues in recent times. Studies on economic inequality have been characterized by geographical disparities and a lack of consideration of functional orientation. As one of the most typical and featured mountainous areas in Western China, Tibet demonstrates both the necessity and urgency of conducting studies on income inequality and growth issues. This paper proposes to address these problems by exploring the temporal and geographical variations in income inequality in Tibet,thereby revealing the differences in functional zones.Spatial Markov chains and panel regression analysis were applied to identify the spatial-temporal dynamics of income disparity. The results of this study show that(1) the overall income inequality in Tibet shows an expanding trend in the period 2005–2010 and a converging trend in the period 2010–2015,and there is a large disparity in income inequality between functional zones;(2) Tibetan farmers and herdsmen may face great difficulties in achieving substantial growth in the near future;(3) frontier counties, cultivated land, and grassland areas have negative impacts on income growth, while cordyceps counties, GDP per capita, agricultural product proportion, transfer payments, the ratio of nonagricultural employment to the total employment, the length of the average schooling year, and the slaughter rate of cattle and sheep have positive impacts; and(4) functional orientation has made great differences to income inequality and its mechanism. In light of these results, evidence-based policies have been formulated to boost average household income and narrow income inequality in Tibet.
  • XIAO Xiao, ZHANG Jie, LU Jun-yu, LI Li, XU Yan-qing, ZHANG Hong-lei, Geoffrey K.RIUNGU
    2021, 18(01): 194-204.
    Place attachment has been a research focus in the fields of park and recreation management.Place attachment plays an important role in promoting sustainable development of parks and mountain tourism destination, however, there are limited studies that identified the spatial patterns of place attachment, especially in the context of mountain tourism destinations in China. Also, the geospatial spectrum of visitors is usually broad,examining the multivariate relationships among spatial proximity, perceived authenticity, and place attachment are essential for mountain tourism destinations to promote destination image and strengthen emotional bonding with targeted visitor groups. In this study, we selected an iconic and highly visited park, Jiuzhai Valley National Park in China, as our study site and conducted an on-site visitor survey to collect 557 samples. Study uses factor analysis and the structure equation model to analyze the relationship among spatial proximity, perceived authenticity, and place attachment. Results validate the two-dimension structure of place attachment and perceived authenticity. Study findings suggest that spatial proximity has significant impacts on existential authenticity and place identity, but has no significant impacts on place dependence. Perceived authenticity has a positive impact on place attachment. Study results advance the theories of place attachment and provide effective strategies to enhance emotional attachment between visitors and mountain tourism destinations.
  • Rojan BANIYA, Brijesh THAPA, Ramesh PAUDYAL, Suman Shree NEUPANE
    2021, 18(01): 205-218.
    Gaurishankar Conservation Area(GCA)is a recently established natural-based protected area in Nepal, which has witnessed an increase in international visitors. To optimize visitor experience,it is essential to examine motivations to visit along with visitors' characteristics and behavioral dispositions. The purpose of this study was to examine international tourists via a motive-based segmentation approach for GCA. In addition, the study also intended to identify visitor segments' profile characteristics such as socio-demographic,travel behaviors, satisfaction, loyalty intention, and their willingness to pay for higher entrance fees.Data(N=121) were collected among international tourists visiting GCA either as a primary destination or as a transit point. Results identified three distinct segments of visitors –‘local art and culture enthusiast', ‘escapist', and ‘nature adventurer.' Each cluster was different with regards to their sociodemographics,travelbehavior,satisfaction,willingness to revisit and recommend, and willingness to pay to support the environment and cultural resources, and local economy. The insights gained from motive-based segmentation can be beneficial to GCA to develop specific products and promotions and incorporate visitor monitoring &management programs.
  • Mohsen GOLIAN, Ebrahim SHARIFI TESHNIZI, Hamed TAVASOLI ROSTAMI, Homayoon KATIBEH, Mario PARISE, Masoud MAHDAD, Habib SAADAT, Mehdi ABBASI, Mahshid EBAD ARDESTANI
    2021, 18(01): 219-232.
    For tunnels being excavated through multiple knowledge of the aquifers' hydraulic head becomes essential for determining groundwater inflow into the tunnel and analyzing its stability, specifically using multilevel monitoring systems. In the multi-aquifer alluvial section of the Glas tunnel(Iran), since the hydraulic head calculations were based on the data obtained from single-piezometer boreholes, the excavation risk was assessed to be at high level and the tunnel seemed to be unstable, thus an incorrect conclusion was derived from the misleading data. To take cost mitigation measures into account, it was necessary to calculate the hydraulic head at tunnel level accurately. By installing nested and clustered wells the mean hydraulic head was measured to be 70 m, significantly different from the 90 m previously determined by boreholes. Considering the updated value, the groundwater inflow and bulkhead load,formerly calculated as 0.65 m~3/s and 9.5 bars, were determined to be 0.49 m~3/s and 7.5 bars, respectively.
  • Nurcihan CERYAN
    2021, 18(01): 233-251.
    Young’s modulus (YM) of intact rock is an important parameter in the assessment of engineering behaviours of rock masses,and it cannot always be obtained in an economical and practical manner in laboratory experiments.The main purpose of this study is to examine the capability of the minimax probability machine regression (MPMR),relevance vector machine (RVM),and generalised regression neural network (GRNN) models for the prediction of YM.The other aim is to determine the usefulness of a new index,the n-durability index (n_(drb)),which is based on porosity and the slake durability index.According to the regression analysis performed in this study,the n-durability index as an explanatory parameter performs better than the P-wave velocity(V_p),porosity,and slake durability index in the models,considering the results herein as well as the existing literature.According to regression error characteristic curves,Taylor diagrams,and performance indices,the best prediction model is MPMR,while the worst is the GRNN model.Although GRNN is the worst of the soft computing models,its performance is slightly better than that of the multiple linear regression (MLR) model.According to the results of the study,the MPMR and RVM models with n_(drb )and V_(p )are successful tools that can predict the YM of igneous rock materials to different degrees.
  • LIN Xiao-yan, ZHANG Lin-fan, YANG Ze, LI Ping, LI Tong-lu
    2021, 18(01): 252-264.
    It is difficult to obtain reliable shear strength parameters for the stability analysis and evaluation of high loess slopes. Hence, this paper determines slope elements and physical parameter of 79 slopes with heights of [40, 120] m based on the measured loess slopes in the Ganquan and Tonghuang subregions of northern Shaanxi Province,China. In the limit state of the loess slope(stability factor Fs is 1.0), a fitting equation for the slope height and width is established. Then, the model is developed by stability analysis software-SLOPE/W,and the comprehensive shear strength parameters corresponding to different slope heights of the high slope in the study area are obtained by inversion using the Morgenstern-Price method. The results show that when the height of the slope increases, the cohesion c increases in the soil, and the internal friction angle j decreases. This change is consistent with the characteristics reflected in the composition and physical properties of the slopes, and the comprehensive strength parametric curves are very similar between the Ganquan subregion and the Tonghuang subregion. A landslide that occurred in Miaodian-zaitou of Jingyang County, Shaanxi Province, is selected to verify this inversion method,and the results show that the calculated shear strength parameters of the inversion are consistent with the measured value of the actual slope.
  • LIU Xiao-jun, FAN Jin-yue, YU Jing, GAO Xin
    2021, 18(01): 265-274.
    Microbial-induced carbonate precipitation(MICP)is a relatively innovative and environmentally-friendly soil reinforcement technology, primarily used on sand, but its application in loess has rarely been studied. This paper explores the viability of the MICP technique for improving the engineering properties of typical loess.Sporosarcina pasteurii was used to trigger carbonate precipitation. Factors such as reaction temperature,p H of the media, and the inoculation ratio were adopted to determine the optimum conditions.Different concentrations of Sporosarcina pasteurii and cementation reagent were selected for combination to treat the loess samples with a selfdesigned vacuum test device. The unconfined compressive strength and calcium carbonate content of the treated samples were tested and Scanning Electron Microscopy(SEM) was carried out to evaluate the improving effect. The results showed that the optimum conditions are reaction temperature of 30℃, p H of the media of 9, a higher inoculation ratio can produce higher enzyme activity and monomer enzyme activity. The engineering properties of the MICP-treated loess are significantly improved. The obtained unconfined compressive strength increases nearly 4 times when the OD600 is 1.5 and cementation reagent concentration is 1 mol/L. The test results of calcium carbonate content are consistent with unconfined compressive strength. Finally, the microstructure of loess samples was quantitatively analyzed by Pore(Particle) and cracks analysis system(PCAS). It was showed that MICP has a great influence on the surface porosity, followed by the pore fractal dimension and the probability entropy, but has little influence on the pore average form factor.
  • LI Yun-peng, HU Chao, JIAN Li, ZHAO Ran, LI Chen
    2021, 18(01): 275-290.
    Vegetation in slopes can effectively improve slope stability. However, it is difficult to estimate the effects of vegetation on slope stability because of variations in plant species and environmental conditions. Moreover, influences of plant growth on slope stability change with time,resulting in changes in the safety factor. This study was conducted to evaluate the stability of vegetated slopes with time and investigate the effects of different layouts of plant species on slope stability.Here, we used a plant growth model and slope stability analysis to build an evaluation model. To accomplish this, one species of tree, shrub and grass was chosen to set six layout patterns. A slope with no vegetation served as a control. The safety factors of the seven slopes were then calculated using the developed evaluation model and differences in the safety factors of slopes were compared and discussed.The slope vegetated with Platycladus orientalis reached the most stable state at the age of 60 years.Shrub slope(Vitex negundo) had the maximum safety factor after 20 years. Overall, the safety factor of vegetated slopes increased from 12.1% to 49.6%compared to the slope with no vegetation. When wind force was considered, the safety factor value of the slope changed from 3.5% to 43.5%. Vegetation mixtures of trees and grasses resulted in the best slope stability. Planting grasses on slopes can improve slope stability of trees to a greater degree than that of slopes with shrubs in the early stage of growth.