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1

Giani, Gian Paolo. Rock slope stability analysis. Rotterdam: Balkema, 1992.

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2

Zhang, Ke. Failure Mechanism and Stability Analysis of Rock Slope. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5743-9.

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3

Huang, Yang H. Slope stability analysis by the limit equilibrium method. Reston, Virginia: ASCE Press, 2014.

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4

Cheng, Y. M. Slope stability analysis and stabilization: New methods and insight. London: Routledge, 2008.

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5

Cao, Zijun, Yu Wang, and Dianqing Li. Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-52914-0.

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6

Denby, B. The influence of groundwater pressure on mine slope stability analysis. S.l: s.n, 1985.

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7

Gerstel, Wendy J. Slope stability analysis of the bluffs along the Washington State Capitol Campus, Olympia, Washington. Olympia, WA: Washington Dept. of Natural Resources, Division of Geology and Earth Resources, 1996.

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8

Baum, Rex L. Slope stability of proposed ski facilities at the southeast side of Snodgrass Mountain, Gunnison County, Colorado. [Reston, Va.]: U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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9

Zaki, Atila. Non-circular slope stability analysis using the generalized wedge method with modifications and extensions for application in rock engineering. Ottawa: National Library of Canada, 1999.

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10

Kesoretskikh, Ivan, and Sergey Zotov. Landscape vulnerability: concept and assessment. ru: INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/1045820.

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The monograph presents a methodology for assessing the vulnerability of landscapes to external influences. A comparative analysis of the concepts of "stability", "sensitivity", "vulnerability" in relation to natural complexes. An overview of existing methods for assessing the vulnerability of natural complexes is presented. The author's method of assessing the vulnerability of landscapes to anthropogenic impacts is described. The methodology is based on: selection and justification of criteria for assessing the vulnerability of landscapes; preparation of a parametric matrix and gradation of assessment criteria in accordance with the developed vulnerability classes; calculation of weighting factors of vulnerability assessment parameters; selection of optimal territorial operational unit for landscape vulnerability assessment. The method is implemented in the GIS environment "Assessment of vulnerability of landscapes of the Kaliningrad region to anthropogenic impacts", created by the authors using modern geoinformation products. The specificity of spatial differentiation of different landscapes in terms of vulnerability to anthropogenic impacts at the regional and local levels is revealed. It is stated that the use of the methodology for assessing the vulnerability of landscapes to anthropogenic impacts and its integration into the system of nature management will ensure a balanced account of geoecological features and environmental priorities in territorial planning. It is of interest to specialists in the field of rational nature management, environmental protection, spatial planning.
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11

Rock Slope Stability Analysis. Taylor & Francis, 1992.

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12

Guyer, J. Introduction to Slope Stability Analysis. Independently Published, 2018.

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13

Cheng, Y. M. Slope Stability and Reliability Analysis. Nova Science Publishers, Incorporated, 2018.

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14

Slope Stability Analysis and Stabilization, Second Edition. Taylor & Francis Group, 2014.

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15

Slope stability analysis of the Shurtz Lake landslide, Utah. [Denver, CO]: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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16

Slope stability analysis and stabilization: New methods and insight. Taylor & Francis, 2008.

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17

Lau, C. K., and Y. M. Cheng. Slope Stability Analysis and Stabilization: New Methods and Insight. Taylor & Francis Group, 2008.

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18

Wang, Yu, Zijun Cao, and Dianqing Li. Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis. Springer Berlin / Heidelberg, 2016.

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19

Cao, Zijun. Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis. Springer, 2018.

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20

Xu, Li, Hong Zhu, Jie Zhang, Jinhui Li, and Lulu Zhang. Rainfall-Induced Soil Slope Failure: Stability Analysis and Probabilistic Assessment. Taylor & Francis Group, 2018.

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21

Rainfall-Induced Soil Slope Failure: Stability Analysis and Probabilistic Assessment. Taylor & Francis Group, 2016.

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22

Rainfall-Induced Soil Slope Failure: Stability Analysis and Probabilistic Assessment. Taylor & Francis Group, 2019.

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23

Wang, Yu, Zijun Cao, and Dianqing Li. Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis. Springer London, Limited, 2016.

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24

Xu, Li, Hong Zhu, Jie Zhang, Jinhui Li, and Lulu Zhang. Rainfall-Induced Soil Slope Failure: Stability Analysis and Probabilistic Assessment. Taylor & Francis Group, 2018.

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25

Xu, Li, Hong Zhu, Jie Zhang, Jinhui Li, and Lulu Zhang. Rainfall-Induced Soil Slope Failure: Stability Analysis and Probabilistic Assessment. Taylor & Francis Group, 2018.

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26

Xu, Li, Hong Zhu, Jie Zhang, Jinhui Li, and Lulu Zhang. Rainfall-Induced Soil Slope Failure: Stability Analysis and Probabilistic Assessment. Taylor & Francis Group, 2018.

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27

Lau, C. K., and Y. M. Cheng. Slope Stability Analysis and Stabilization: New Methods and Insight, Second Edition. Taylor & Francis Group, 2017.

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28

Lau, C. K., and Y. M. Cheng. Slope Stability Analysis and Stabilization: New Methods and Insight, Second Edition. Taylor & Francis Group, 2014.

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29

Lau, C. K., and Y. M. Cheng. Slope Stability Analysis and Stabilization: New Methods and Insight, Second Edition. Taylor & Francis Group, 2014.

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30

Zhang, Ke. Failure Mechanism and Stability Analysis of Rock Slope: New Insight and Methods. Springer, 2020.

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31

Zhang, Ke. Failure Mechanism and Stability Analysis of Rock Slope: New Insight and Methods. Springer Singapore Pte. Limited, 2021.

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32

colluvial sediment routing in the Moose River basin: A slope stability analysis approach. Ottawa: National Library of Canada, 1996.

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33

Bransom, Mark. Soil engineering properties and vegetative characteristics for headwall slope stability analysis in the Oregon coast range. 1990.

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34

Landslide investigation of Timber Lakes Estates, Wasatch County, Utah, landslide inventory and preliminary geotechnical engineering slope stability analysis. Utah Geological Survey, 2005. http://dx.doi.org/10.34191/mp-05-9.

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35

Woelke, Franziska. Morphometric analysis of landslides and slope stability on the north shore of the John Day Reservoir, Columbia River, Oregon and Washington. 1996.

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36

Volgy, Thomas J., Kelly Marie Gordell, Paul Bezerra, and Jon Patrick Rhamey, Jr. Conflict, Regions, and Regional Hierarchies. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228637.013.310.

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Despite decades of scholarly attention to conflict and cooperation processes in international politics, rigorous, comparative, large-N analyses of these questions at the region level are difficult to find in the literature. Although this relative absence may stem in part from the difficulties related to the theoretical conceptualization or methodological operationalization of regions, it certainly is not for lack of interesting variation in terms of conflict and cooperation processes across regions. Between this variation and recent contributions toward a dynamic identification of regions, comparative analysis of conflict and cooperation outcomes at the region level are primed for exploration and increasingly salient as recent political elections in the United States (Trump election) and the United Kingdom (Brexit) have demonstrated a willingness on the part of policymakers to scale back efforts toward global interdependence.Turning attention to a region level unit of analysis, however, does not require abandoning decades of scholarship at the state or dyad levels. Indeed, much of this work may be viewed as informing or complementary to comparative regional analyses. In particular, regional propensity for cooperation or conflict is likely to be conditioned by a number of prominent explanations of these phenomena at state and dyad levels, which may usefully be conceived in their regional aggregates as so-called regional fault lines or baseline conditions. These include the presence of major and/or regional powers, interstate rivalries, unresolved territorial claims, civil wars, regime similarity, trade relationships, and common membership in intergovernmental organizations.Of these baseline conditions, the impact of major and regional powers on regional patterns of cooperation and conflict is notable for both its theoretical and practical implications. Power transition theory, hegemonic stability theory, hierarchical theory, and long cycle theory all suggest major—and to a lesser extent regional—powers will seek to establish order within areas under their influence; alternatively, the overwhelming capabilities these states bring to a region arguably act as a deterrent inhibiting conflict. Empirical analysis reveals—irrespective of the causal mechanism at hand—regions characterized by the presence of a major or regional power experience less conflict. Moving forward, future research should work to test the two plausible causal mechanisms for this finding—order building versus deterrence—to determine the true nature of hierarchy’s pacifying influence.
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37

Zydroń, Tymoteusz. Wpływ systemów korzeniowych wybranych gatunków drzew na przyrost wytrzymałości gruntu na ścinanie. Publishing House of the University of Agriculture in Krakow, 2019. http://dx.doi.org/10.15576/978-83-66602-46-5.

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The aim of the paper was to determine the influence of root systems of chosen tree species found in the Polish Flysch Carpathians on the increase of soil shear strength (root cohesion) in terms of slope stability. The paper's goal was achieved through comprehensive tests on root systems of eight relatively common in the Polish Flysch Carpathians tree species. The tests that were carried out included field work, laboratory work and analytical calculations. As part of the field work, the root area ratio (A IA) of the roots was determined using the method of profiling the walls of the trench at a distance of about 1.0 m from the tree trunk. The width of the. trenches was about 1.0 m, and their depth depended on the ground conditions and ranged from 0.6 to 1.0 m below the ground level. After preparing the walls of the trench, the profile was divided into vertical layers with a height of 0.1 m, within which root diameters were measured. Roots with diameters from 1 to 10 mm were taken into consideration in root area ratio calculations in accordance with the generally accepted methodology for this type of tests. These measurements were made in Biegnik (silver fir), Ropica Polska (silver birch, black locust) and Szymbark (silver birch, European beech, European hornbeam, silver fir, sycamore maple, Scots pine, European spruce) located near Gorlice (The Low Beskids) in areas with unplanned forest management. In case of each tested tree species the samples of roots were taken, transported to the laboratory and then saturated with water for at least one day. Before testing the samples were obtained from the water and stretched in a. tensile testing machine in order to determine their tensile strength and flexibility. In general, over 2200 root samples were tested. The results of tests on root area ratio of root systems and their tensile strength were used to determine the value of increase in shear strength of the soils, called root cohesion. To this purpose a classic Wu-Waldron calculation model was used as well as two types of bundle models, the so called static model (Fiber Bundle Model — FIRM, FBM2, FBM3) and the deformation model (Root Bundle Model— RBM1, RBM2, mRBM1) that differ in terms of the assumptions concerning the way the tensile force is distributed to the roots as well as the range of parameters taken into account during calculations. The stability analysis of 8 landslides in forest areas of Cicikowicleie and Wignickie Foothills was a form of verification of relevance of the obtained calculation results. The results of tests on root area ratio in the profile showed that, as expected, the number of roots in the soil profile and their ApIA values are very variable. It was shown that the values of the root area ratio of the tested tree species with a diameter 1-10 ram are a maximum of 0.8% close to the surface of the ground and they decrease along with the depth reaching the values at least one order of magnitude lower than close to the surface at the depth 0.5-1.0 m below the ground level. Average values of the root area ratio within the soil profile were from 0.05 to 0.13% adequately for Scots pine and European beech. The measured values of the root area ratio are relatively low in relation to the values of this parameter given in literature, which is probably connected with great cohesiveness of the soils and the fact that there were a lot of rock fragments in the soil, where the tests were carried out. Calculation results of the Gale-Grigal function indicate that a distribution of roots in the soil profile is similar for the tested species, apart from the silver fir from Bie§nik and European hornbeam. Considering the number of roots, their distribution in the soil profile and the root area ratio it appears that — considering slope stability — the root systems of European beech and black locust are the most optimal, which coincides with tests results given in literature. The results of tensile strength tests showed that the roots of the tested tree species have different tensile strength. The roots of European beech and European hornbeam had high tensile strength, whereas the roots of conifers and silver birch in deciduous trees — low. The analysis of test results also showed that the roots of the studied tree species are characterized by high variability of mechanical properties. The values Of shear strength increase are mainly related to the number and size (diameter) of the roots in the soil profile as well as their tensile strength and pullout resistance, although they can also result from the used calculation method (calculation model). The tests showed that the distribution of roots in the soil and their tensile strength are characterized by large variability, which allows the conclusion that using typical geotechnical calculations, which take into consideration the role of root systems is exposed to a high risk of overestimating their influence on the soil reinforcement. hence, while determining or assuming the increase in shear strength of soil reinforced with roots (root cohesion) for design calculations, a conservative (careful) approach that includes the most unfavourable values of this parameter should be used. Tests showed that the values of shear strength increase of the soil reinforced with roots calculated using Wu-Waldron model in extreme cases are three times higher than the values calculated using bundle models. In general, the most conservative calculation results of the shear strength increase were obtained using deformation bundle models: RBM2 (RBMw) or mRBM1. RBM2 model considers the variability of strength characteristics of soils described by Weibull survival function and in most cases gives the lowest values of the shear strength increase, which usually constitute 50% of the values of shear strength increase determined using classic Wu-Waldron model. Whereas the second model (mRBM1.) considers averaged values of roots strength parameters as well as the possibility that two main mechanism of destruction of a root bundle - rupture and pulling out - can occur at the same. time. The values of shear strength increase calculated using this model were the lowest in case of beech and hornbeam roots, which had high tensile strength. It indicates that in the surface part of the profile (down to 0.2 m below the ground level), primarily in case of deciduous trees, the main mechanism of failure of the root bundle will be pulling out. However, this model requires the knowledge of a much greater number of geometrical parameters of roots and geotechnical parameters of soil, and additionally it is very sensitive to input data. Therefore, it seems practical to use the RBM2 model to assess the influence of roots on the soil shear strength increase, and in order to obtain safe results of calculations in the surface part of the profile, the Weibull shape coefficient equal to 1.0 can be assumed. On the other hand, the Wu-Waldron model can be used for the initial assessment of the shear strength increase of soil reinforced with roots in the situation, where the deformation properties of the root system and its interaction with the soil are not considered, although the values of the shear strength increase calculated using this model should be corrected and reduced by half. Test results indicate that in terms of slope stability the root systems of beech and hornbeam have the most favourable properties - their maximum effect of soil reinforcement in the profile to the depth of 0.5 m does not usually exceed 30 kPa, and to the depth of 1 m - 20 kPa. The root systems of conifers have the least impact on the slope reinforcement, usually increasing the soil shear strength by less than 5 kPa. These values coincide to a large extent with the range of shear strength increase obtained from the direct shear test as well as results of stability analysis given in literature and carried out as part of this work. The analysis of the literature indicates that the methods of measuring tree's root systems as well as their interpretation are very different, which often limits the possibilities of comparing test results. This indicates the need to systematize this type of tests and for this purpose a root distribution model (RDM) can be used, which can be integrated with any deformation bundle model (RBM). A combination of these two calculation models allows the range of soil reinforcement around trees to be determined and this information might be used in practice, while planning bioengineering procedures in areas exposed to surface mass movements. The functionality of this solution can be increased by considering the dynamics of plant develop¬ment in the calculations. This, however, requires conducting this type of research in order to obtain more data.
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38

Zhang, Enyu, and Qingmin Zhang. East Asia and Foreign Policy. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190846626.013.157.

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The study of East Asian foreign policies has progressed in sync with mainstream international relations (IR) theories: (1) from perhaps an inadvertent or unconscious coincidence with realism during the Cold War to consciously using different theoretical tools to study the various aspects of East Asian foreign policies; and (2) from the dominance of realism to a diversity of theories in studying East Asian foreign policies. Nonetheless, the old issues from the Cold War have not been resolved; the Korean Peninsula and the Taiwan Strait remain two flashpoints in the region, with new twists that can derail regional stability and prosperity. New issues also have emerged and made East Asia most volatile. One issue is concerned with restructuring the balance of power in East Asia, particularly the dynamics among the major players, i.e. Japan, China, and the United States. Regionalism is another new topic in the study of East Asian foreign policies. A review of the current state of the field suggests that two complementary issues be given priority in the future. First, the foreign policy interests and strategies of individual small states vis-à-vis great powers in the region, particularly those in Southeast Asia and the Korean peninsula. Second, what could really elevate the study of East Asian foreign policies in the general field of IR and foreign policy analysis is to continue exploring innovative analytical frameworks that can expand the boundaries of existing metatheories and paradigms.
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39

Henning, C. Randall. Tangled Governance. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198801801.001.0001.

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This book addresses the institutions that were deployed to fight the euro crisis, re-establish financial stability, and prevent contagion beyond Europe. It addresses why European leaders chose to include the International Monetary Fund and provides a detailed account of the decisions of the institutions that make up the “troika” (the European Commission, European Central Bank, and IMF). The study explains the institutions’ negotiating strategies, the outcomes of their interaction, and the effectiveness of their cooperation. It also explores the strategies of the member states, including Germany and the United States, with respect to the institutions and the advantages they sought in directing them to work together. The book locates the analysis within the framework of regime complexity, clusters of overlapping and intersecting regional and multilateral institutions. It tests conjectures spawned by that literature against the seven cases of financial rescues of euro-area countries that were stricken by crisis during 2010–15. The book concludes that regime complexity is the consequence of a strategy by key states to control “agency drift.” States mediate conflicts among institutions, through informal as well as formal mechanisms, and thereby limit fragmentation of the regime complex and underpin substantive efficacy. In so doing, the book answers several key puzzles, including why (a) Germany and other northern European countries supported IMF inclusion despite substantive positions opposed to their economic preferences, (b) crisis-fighting arrangements endured intense conflicts among the institutions, and (c) the United States and the IMF promoted further steps to “complete” the monetary union.
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