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[en] The article “Landslide susceptibility mapping of the Sera River Basin using logistic regression model,” written by Nussaïbah B. Raja, Ihsan Çiçek, Necla Türkoğlu, Olgu Aydin, and Akiyuki Kawasaki, was originally published Online First without open access.
[en] Due to an oversight, four references were cited incorrectly in the reference list of the original publication as well as in the text of the publication. The first names were used instead of the last names of the authors. In addition some author names were omitted inadvertently. The correct presentation of these references is shown below.
[en] The sudden departure mechanism of high-speed landslides has always constituted a popular yet difficult research topic. Therefore, although a systematic classification of high-speed landslides is necessary, particularly since different types of landslides exhibit different mechanisms, an associated methodology has yet to be established. This paper investigates an easily overlooked phenomenon—landslide-quake, which is defined as a local ground vibration triggered by the sudden rupture of the locked segment of a high-speed landslide that occurs immediately prior to the departure of the landslide. This new concept is employed as a foundation for a new classification. The characteristics and formation conditions of landslide-quake are discussed, based upon which the high-speed landslides that occurred following the 2008 Wenchuan earthquake are classified into three different types. Subsequently, the sudden departure mechanism of each type of landslide is analyzed, thereby providing a new method for research on the sudden departure mechanism of high-speed landslides.
[en] Prediction on landslide displacement plays an important role in landslide early warning. Many models have been proposed for this purpose. However, the accuracy of the prediction results by these models often varies under different conditions. Rational evaluation and comprehensive consideration of these results still remain a scientific challenge. A new comprehensive combination model is proposed to predict the landslides displacement. The elementary displacement prediction is made by the support vector machine model, the exponential smoothing model, and the gray model (GM)(1,1). The results of the models are comprehensively evaluated by combining the results and introducing the accuracy matrix. The optimal weight in the evaluation work is obtained. A rational prediction result can be attained based on the so-called combination model. The proposed method has been tested by the application of Qinglong landslides in Guizhou Province, China. The comparison between the prediction results and in situ measurement shows that the prediction precision of the proposed model is satisfactory. The root-mean-square error (RMSE) of the combination model can be reduced to 1.4316 (monitoring site JCK2), 1.2623 (monitoring site JCK4), 2.3758 (monitoring site JCK6), 2.2704 (monitoring site JCK8), 1.4247 (monitoring site JCK11), and 0.9449 (monitoring site JCK12), which is much lower than the RMSE of the individual models.
[en] The most common triggering factor of landslides in a hill terrain is rainfall. Assessment of the extreme and antecedent rainfall events and its quantum is imperative to evaluate the temporal occurrence of landslides. It also plays a vital role in the choice of the preventive measures to be adopted. This study focuses on an in-depth rainfall analysis of Coonoor hill station. The analysis includes the study of monthly, seasonal and annual rainfall patterns for a period of 80 years, between 1935 and 2013. Further, one day maximum, 5 day and more antecedent rainfall and its amount is calculated for the years between 2007-2012, 2014 and 2015.The result of the study indicates an increase in the normal rainfall based on the mean of 30 years of data (for the recent decades) and erratic pattern of rainfall during pre-monsoon, post-monsoon south-west monsoon periods. A detailed analysis of daily rainfall for the selected period indicates that extreme highest daily rainfall of more than 300 mm above occurred after consecutive rainfall trigged massive landslides comparing highest rainfall amount around 100 to 180 mm rainfall events. (paper)
[en] Radon, as a chemical element of radioactivity, is widely used in the fields of earth-quake monitoring, prospecting mine and exploring resource. This paper discussed the theory of radon's separating out from the soil and the theory and means of surveying radon. It also relates the radon anomaly in the measuring process of soil radon, caused by the interferring of the environmental factors in measurement results. It further clarifies the wilde application of radon as a tracer in landslide forecast. (authors)
[en] Highlights: • In Uganda, decentralised platforms are used as spatial tactics to centralise power for the ruling party. • Decentralised platforms may co-produce unequal risk through blame dissolution and scale jumping. • A problematic implementation of decentralised platforms prevents competent disaster governance. - Abstract: The international agenda for disaster risk reduction, through the Hyogo Framework for Action and the Sendai Framework for disaster risk reduction, promotes decentralised platforms as an indispensable strategy to achieve effective and efficient disaster risk management. Based on empirical data from the Rwenzori Mountains region, we question the implications of this type of network governance for disaster risk management. We embed our observations in an analytical framework that combines literature on network governance with insights from politics of disaster, notably scale and blame theories. In this study, we investigate the implications for disaster risk reduction through the analysis of three processes of scale structuration observed in contemporary West Uganda: (i) incomplete decentralisation, (ii) blame dissolution, and (iii) scale jumping. We argue that decentralised platforms in Uganda co-produce unequal risk, as they are used as spatial tactics to centralise power for the ruling party and enable blame dissolution and scale jumping. From our analysis we draw broader conclusions on drivers and implications of the implementation of disaster network governance in countries that are primarily governed hierarchically and that endorse the international frameworks of disaster risk reduction.
[en] Frequent occurrence of landslides in the Chinese Loess Plateau has been influenced by the changes of water conditions. This paper, based on in-situ water scouring experiments under various slope gradients, cross-sectional discharge shapes and flow quantities, analyzed the rill flow information characteristics on a loess slope and its driving factors for anti-scourability of the loess stratum. The results show that the critical erosion slope gradient for the loess stratum (Q3) is about 24° and the mean erosion rate under half-round cross-sectional discharge is smaller than that under rectangular discharge. The relationship between flow quantity and mean erosion rate is linear and is positively correlated. Mechanical subsurface erosion was the primary condition responsible for water scouring on loess slopes because of stronger runoff channels such as vertical joints and large amounts of macro void caused by plants and animals. Loess anti-scourability is a significant issue to advance the research for soil and water conservation in the Loess Plateau of China.