Abstracted/indexed

In the Teskey Range of the Tien Shan (Kyrgyz Republic), four outburst flood disasters from short-lived glacial lakes caused severe damages in the downstream part in recent years. The short-lived lake grows rapidly and drain within a few months, due to closure and opening of an outlet ice-tunnel in moraine complex at glacier front. To clarify how short-lived lakes store and drain water for short period, we examined its recent changes in water level, area, volume, and discharge.

Through a comprehensive analysis of the current remote sensing technology resources, this paper establishes the database to realize the unified management of heterogeneous sensor resources and proposes the service capability of remote sensing cooperative technology in geo-hazard emergency, providing a decision-making basis for the establishment of remote sensing cooperative observations in geo-hazard emergency response.

Rockfalls are a major sources of danger, particularly along transportation routes. Thus, the assessment of their occurrence is a major challenge for risk management. One interesting factor involved in the occurrence of an event is the failure mechanism of rock bridges along the potential failure plane. This work proposes to study the phenomenology of this failure considering numerical modeling. The influence of rock bridges position in regard to the rockfall failure mode is highlighted.

A group of lava tubes on Jeju Island, Korea, constitutes predominant geological context. However, the threat of surface collapse by undiscovered lave tube networks haves been raised in connection with the recent infrastructure construction in Jeju Island. We therefore introduced InSAR techniques to measure the deformation of lava tube networks with machine learning applications and identified the ground deformation signals implying the instability of the shallow lava cavity networks.

This research study mainly focused on flood hazards, and its remedial measures by using geographic information systems and remote sensing techniques to control flood risks in the flood plain area of River Kabul in District Charsadda, Pakistan. The main objective of this study was to quantify pre and post-flood land-use and land-cover changes at District Charsadda, Pakistan. This study provides useful information about change detection, trends, and impacts of land-use/land-cover change.

We use high resolution computer simulations of tropical cyclones to investigate extreme wind speeds over Bangladesh. We show that some northern provinces, up to 200 km inland, may experience conditions equal to or exceeding a very severe cyclonic storm event with a likelihood equal to coastal regions less than 50 km inland. We hope that these kilometre scale hazard maps facilitate one part of the risk assessment chain to improve local ability to make effective risk management decisions.

KMA (Korean Meteorological Administration) has the same criteria for issuing a Heavy Rain Advisory (HRA) over the peninsula even though each region has different conditions Therefore, the aim of this study is to suggest the methodology for the determination of Heavy rain Damage-Triggering Rainfall Criteria (HD-TRC) that HRA can be issued in each region. As a result, HD-TRC showed an improvement of 15 % on average compared to HRA in all regions, while Advanced HD-TRC showed a 21 % improvement.

We document a cluster of glacier detachments in the Petra Pervogo range, Tajikistan, between 1973 and 2019. In four glaciated catchment areas, we identified 13 mass flows of up to 19 km length. Though globally extremely rare, nine events represent large-scale glacier detachments and seven of them occurred between July and September in years with temperatures above the past 46-years trend. Similar to other detachments the detached glaciers are relatively short and rest on soft erodible sediments.

Our research links upper-atmospheric circulation patterns to a destructive and difficult to predict type of snow avalanche in the western United States. At each of our study sites, we find unique circulation patterns that tend to occur in the beginning of the winter season during years with major avalanche activity. We also find specific patterns that occur frequently in the days leading to major avalanche events. This work will enable practitioners to better anticipate these challenging events.

In previous study of landslide susceptibility mapping,one inventory is for one kind of landslide.However,it causes some troubles for prevention and management.This study aim to map two kinds of landslides meanwhile and put the results in the same map for exploring the potential relationship. Through superimposition of two zoning maps, it provides a new way to evaluate the disaster chain and further convenience for land-use planner.

The rapid and accurate mapping of landslides is critical for emergency response, disaster mitigation, and understanding landslide processes. Here we present a new approach to detect landslides anywhere in the world using freely available synthetic aperture radar data and open source tools in Google Earth Engine. Importantly, our methods do not require specialized processing software or training, which allows the broader hazards community to utilize these state-of-the-art remote sensing tools.

In mountainous regions rockfall is a common geomorphic process. We selected four study sites that feature different rock types. High-resolution terrestrial laser scanning data were acquired to measure the block size and block shape (axial ratio) of rockfall particles on the scree deposits. Laser scanning data were also used to characterize the morphology of these landforms. Our results show that hillslope and rock particle properties govern rock particle runout in a complex manner.

The paper is focused on landslides risk mapping and assessment using machine learning, notably, Random Forests algorithm, taking 19 geo-environmental factors into account. A number of innovative procedures were introduced in the research and reliable results of high accuracy obtained. We believe that the risk mapping approach developed in this paper is relevant and extendable to elsewhere, and the results can serve as reference for disaster prevention and early warning for the local government.

Rainfall thresholds are relations between rainfall intensity and duration on which the forecast of the possible occurrence of a debris flow can be based on. To check the robustness of a physical-based stony debris flow rainfall threshold, in this work we developed a procedure to estimate the effects of various sources of error on the determination of the threshold parameters. Results show that these effects are limited and therefore, the threshold is quite reliable.

Estimation of flood hazard in cities is a time-consuming and computationally expensive exercise. Strategic use of simplified hydraulic models and selective use of detailed hydraulic models for specific flood events can minimize the efforts. Flood hazard was calculated for climate change and land subsidence scenarios in Can Tho, Mekong Delta. Reduction in groundwater extraction – arresting land subsidence – along with the rehabilitation of urban drains can mitigate floods even under climate change.

This study focuses on the case of the heavy rainfall of 14 and 15 October 2018, which caused deadly flash floods in the Aude basin in south-western France. Although similar to the heavy rainfall events that regularly affect the Mediterranean Sea, it is shown, using operational forecasting models and observations including personal observation data, that this case presented specific aggravating factors near the ground.

Following hurricanes and other natural hazards, it is important to quickly estimate the damage caused by the hazard such that recovery aid can be granted from organizations such as the European Union and the World Bank. To do so, it is important to estimate the vulnerability of buildings to the hazards. In this research, we use post-disaster observations from social media to improve these vulnerability assessments and show its application in the Bahamas following Hurricane Dorian.

Risk assessment consists of three steps: identification, estimation and evaluation. Nevertheless, the risk management framework also includes a fourth step, the need for a feedback of all the risk assessment undertakings. However, there is a lack of such feedback, which constitutes a serious deficiency in the reduction of environmental hazards at the present time. The objective of this review paper consists of addressing meteorological hazards and extremes within the risk management framework.

Numerical models need to be validated previous to their use as predictive tools. This requirement becomes even more necessary when these models are going to be used for risk assessment in natural hazards where human lives are involved. The present work aims to benchmark the novel Multilayer-HySEA model for landslide generated tsunamis produced by granular slides, in order to provide to the tsunami community with a robust, efficient and reliable tool for landslide tsunami hazard assessment.

The Köfels Rock Slide in the Ötztal Valley (Tyrol, Austria) represents the largest known extremely rapid landslide in metamorphic rock masses in the Alps and was formed in the early Holocene 9527–9498 cal BP. Although many hypotheses for the conditioning and triggering factors were discussed in the past, until now no scientifically accepted explanatory model has been found. This study provides new data to better understand the cause and triggering factors of this gigantic natural event.

We investigate patterns in how avalanche forecasters characterize snow avalanche hazard with avalanche problem types. Decision tree analysis were used to investigate both physical influences based on weather and snowpack variables and operational practices. The results highlight challenges with developing decision aids based on previous hazard assessments.

81 tributaries and 908 landslides are taken, this paper firstly reveals the spatial distribution of landslides. The relationship between hypsometric curve integral and landslides shows that the landslides number increases exponentially with hypsometric curve integral and the landslides area is concentrated in hypsometric curve integral between 0.5 and 0.6, it means that sufficient material for debris flows can be provided, which explains the reason that JJG has the debris flow of high frequency.

In order to address a perceived need for debris flow or debris avalanche model that can be applied regionally with relatively few inputs, we developed, and present herein, an agent-based landslide-simulation model called LABS. LABS is a fully predictive, probabilistic debris flow runout model. It produces realistic results and can be applied easily to entire regions. We hope that the model will provide useful insight into hazard and risk assessments where it is applicable.