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Loess is a product of aeolian deposition during the Quaternary glaciation cycles and covers approximately 6% of the Earth’s land. The Loess Plateau of China, which is home to a population of nearly three hundred million, has the thickest and most complete loess strata, where loess geohazards occur most frequently due to the weak geoenvironment and dense human activities. In recent years, the engineering geological characteristics of loess and geohazards in loess areas have gradually received increasing attention from academic researchers. This book reviews an informative collection of up-to-date literature in this field. It presents the unique features of loess and loess geohazards, and provides a strong foundation for future study via eight systematically structured chapters, e.g., origin and spatial distribution, loess landforms, microstructure, physical properties, permeability, shear strength, tensile strength, and loess geohazard. It can serve as a principal reference for researchers, practical engineers and technicians who are engaged in loess geology and surface processes, and is suitable especially for undergraduate and postgraduate students in the field of loess engineering geology.
This edited volume contains the best papers in the geo-engineering field accepted for presentation at the 1st Springer Conference of the Arabian Journal of Geosciences, Tunisia 2018. In addition, it includes 3 keynotes by international experts on the following topics: 1. A new three-dimensional rock mass strength criterion 2. New tools and techniques of remote sensing for geologic hazard assessment 3. Land subsidence induced by the engineering-environmental effects in Shanghai China The book is useful for readers who would like to get a broad coverage in geo-engineering. It contains 11 chapters covering the following main areas: (a) Applications in geo-environmental engineering including soil remediation, (b) Characterization of geo-materials using geological, geotechnical and geophysical techniques, (c) Soil improvement applications, (d) Soil behaviour under dynamic loading, (e) Recent studies on expansive soils, (f) Analytical and numerical modelling of various geo-structures, (g) Slope stability, (h) Landslides, (i) Subsidence studies and (j) Recent studies on various other types of geo-hazards.
This book is the first to systematically explore experimental erosion by integrating theory, erosion observations, and conservation applications. Although numerous books have been published on soil erosion both in English and in Chinese, none has concentrated on experimental studies on the Loess Plateau of China, in an attempt to establish a new sub-discipline: experimental erosion. One main objective of this book is to highlight monitoring and modeling methods for soil scientists who design and conduct experimental studies on soil loss. Another objective, and the most important one, is to make the results of these experiments more generally available. Accordingly, we have gathered and integrated a broad range of experimental results, both published and unpublished. In-depth discussions of the experimental data and new data processing methods are also included. The work covered here represents exemplary studies in the field of soil erosion and conservation, while the new methods and findings presented will provide practical guidance for controlling soil erosion. Hence the book offers a valuable resource for graduate students, soil erosion scientists and engineers, and soil and water conservationists.
This book addresses geohazards by establishing their unique hydrogeological conceptual site models. Geohazards occur in many forms and scales either naturally or induced by human's activities. Many geohazards such as earth fissure, ground collapse and subsidence, mine water inrush, and groundwater contamination are closely related to hydrogeological conditions and their dynamics. Water, either surface water or groundwater, acts as a resource and an enabling agent that elevates geohazard risks in areas that are inherently vulnerable. The book presents case studies to describe identification and investigation methods, monitoring and early-warning techniques, modeling approaches, and engineering measures to prevent, control, and mitigate these geohazards. It targets students, researchers, practitioners, and decision makers who are engaged in water resource management, project planning, and geohazard control and management.
This volume contains state of the engineering practice and recent research in the field of built infrastructure and natural hazards. It is expected that the book will help engineers and researchers to design and built resilient infrastructures in challenging conditions (e.g., earthquakes and climate change) while optimising the design and minimising the future maintenance cost. In particular new design and construction techniques with reference to major infrastructure projects such as tunneling and transport infrastructure are discussed.
A lavishly illustrated study of landslides and debris flows on theLoess Plateau of north-central China where dense rural populationand human activity has greatly increased landslide hazard. The Loess Plateau lies in the middle reaches of the Yellow Riverand there are a number of cities housing more than a millionpeople. Landslides are triggered by heavy rainstorms andearthquakes have been a recurrent hazard in the loess terrain forover two millennia. The contributors to this book set out with a number of goalsincluding: * establishing the role of bedrock relief in landsliding * studying the nature of the hydrological system within the loessslopes * characterising the modes of failure of the loess fabric * producing a dynamically-based classification of loesslandslides * 'ultimately' establishing criteria for a simple warning systemfor loess slope failure, together with an advisory scheme for localpopulation response to landslide warnings. This book includes over forty colour maps unique in their contentand coverage, showing for the first time the detailed distributionof landslides in the thick loess terrain of eastern Gansu Province,North China.
Landslides are destructive processes causing casualties and damage worldwide. The majority of the landslides are triggered by intense and/or prolonged rainfall. Therefore, the prediction of the occurrence of rainfall-induced landslides is an important scientific and social issue. To mitigate the risk posed by rainfall-induced landslides, landslide early warning systems (LEWS) can be built and applied at different scales as effective non-structural mitigation measures. Usually, the core of a LEWS is constituted of a mathematical model that predicts landslide occurrence in the monitored areas. In recent decades, rainfall thresholds have become a widespread and well established technique for the prediction of rainfall-induced landslides, and for the setting up of prototype or operational LEWS. A rainfall threshold expresses, with a mathematic law, the rainfall amount that, when reached or exceeded, is likely to trigger one or more landslides. Rainfall thresholds can be defined with relatively few parameters and are very straightforward to operate, because their application within LEWS is usually based only on the comparison of monitored and/or forecasted rainfall. This Special Issue collects contributions on the recent research advances or well-documented applications of rainfall thresholds, as well as other innovative methods for landslide prediction and early warning. Contributions regarding the description of a LEWS or single components of LEWS (e.g., monitoring approaches, forecasting models, communication strategies, and emergency management) are also welcome. We encourage, in particular, the submission of contributions concerning the definition and validation of rainfall thresholds, and their operative implementation in LEWS. Other approaches for the forecasting of landslides are also of interest, such as physically based modelling, hazard mapping, and the monitoring of hydrologic and geotechnical indicators, especially when described in the framework of an operational or prototype early warning system.