Maps Showing Seismic Landslide Hazards in Anchorage, Alaska

2009 ◽  
Author(s):  
Randall W. Jibson ◽  
John A. Michael
Keyword(s):  
Landslide Hazards ◽  
Seismic Landslide

scholarly journals Failure probability assessment of landslides triggered by earthquakes and rainfall: a case study in Yadong County, Tibet, China

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Lixia Chen ◽  
Le Mei ◽  
Bin Zeng ◽  
Kunlong Yin ◽  
Dhruba Pikha Shrestha ◽  
...  
Keyword(s):  
Local Governments ◽  
Daily Rainfall ◽  
Rainfall Threshold ◽  
Permanent Displacement ◽  
Distribution Maps ◽  
Landslide Hazards ◽  
Threshold Distribution ◽  
2015 Gorkha Earthquake ◽  
Seismic Landslide

Abstract Yadong County located in the southern Himalayan mountains in Tibet, China, is an import frontier county. It was affected by landslides after the 2011 Sikkim earthquake (Mw = 6.8) and the 2015 Gorkha earthquake (Mw = 7.8). Casualties and property damage were caused by shallow landslides during subsequent rainfall on the earthquake-destabilized slopes. Existing researches have generally examined rainfall- and earthquake-triggered landslides independently, whereas few studies have considered the combined effects of both. Furthermore, there is no previous study reported on landslide hazards in the study area, although the area is strategically applicable for trade as it is close to Bhutan and India. This study developed a new approach that coupled the Newmark method with the hydrological model based on geomorphological, geological, geotechnical, seismological and rainfall data. A rainfall threshold distribution map was generated, indicating that the southeast part of Yadong is prone to rainfall-induced landslides, especially when daily rainfall is higher than 45 mm/day. Permanent displacement predictions were used to identify landslide hazard zones. The regression model used to calculate these permanent displacement values was 71% accurate. Finally, landslide probability distribution maps were generated separately for dry and wet conditions with rainfall of varying intensities. Results can serve as a basis for local governments to manage seismic landslide risks during rainy seasons.

scholarly journals Incorporating the effects of topographic amplification in the analysis of earthquake-induced landslide hazards using logistic regression

2010 ◽  
Vol 10 (12) ◽  
pp. 2475-2488 ◽  
Author(s):  
S. T. Lee ◽  
T. T. Yu ◽  
W. F. Peng ◽  
C. L. Wang
Keyword(s):  
Logistic Regression ◽  
Hazard Analysis ◽  
Grid Cell ◽  
Landslide Hazard ◽  
Slope Aspect ◽  
Topographic Effect ◽  
Topographic Amplification ◽  
Landslide Hazards ◽  
Digital Elevation ◽  
Seismic Landslide

Abstract. Seismic-induced landslide hazards are studied using seismic shaking intensity based on the topographic amplification effect. The estimation of the topographic effect includes the theoretical topographic amplification factors and the corresponding amplified ground motion. Digital elevation models (DEM) with a 5-m grid space are used. The logistic regression model and the geographic information system (GIS) are used to perform the seismic landslide hazard analysis. The 99 Peaks area, located 3 km away from the ruptured fault of the Chi-Chi earthquake, is used to test the proposed hypothesis. An inventory map of earthquake-triggered landslides is used to produce a dependent variable that takes a value of 0 (no landslides) or 1 (landslides). A set of independent parameters, including lithology, elevation, slope gradient, slope aspect, terrain roughness, land use, and Arias intensity (Ia) with the topographic effect. Subsequently, logistic regression is used to find the best fitting function to describe the relationship between the occurrence and absence of landslides within an individual grid cell. The results of seismic landslide hazard analysis that includes the topographic effect (AUROC = 0.890) are better than those of the analysis without it (AUROC = 0.874).

scholarly journals An Investigative Study of Seismic Landslide Hazards

2016 ◽  
Author(s):  
Vasudevan Nirmala ◽  
Sridharan Aadityan ◽  
Kolathayar Sreevalsa ◽  
Ramanathan Kaushik
Keyword(s):  
Landslide Hazards ◽  
Seismic Landslide

MAPPING OF POTENTIAL LANDSLIDE HAZARDS ALONG THE RIVER CORRIDORS OF KING COUNTY, WASHINGTON

2017 ◽  
Author(s):  
John P. Bethel ◽  
◽  
Sevin Bilir
Keyword(s):  
King County ◽  
Landslide Hazards ◽  
River Corridors

scholarly journals A new approach to mapping landslide hazards: a probabilistic integration of empirical and physically based models in the North Cascades of Washington, USA

2019 ◽  
Vol 19 (11) ◽  
pp. 2477-2495
Author(s):  
Ronda Strauch ◽  
Erkan Istanbulluoglu ◽  
Jon Riedel
Keyword(s):  
Statistical Approach ◽  
Joint Probability ◽  
North Cascades ◽  
Physically Based Model ◽  
New Approach ◽  
The North ◽  
Debris Avalanches ◽  
Landslide Hazards ◽  
Infinite Slope Stability Model ◽  
Physically Based

Abstract. We developed a new approach for mapping landslide hazards by combining probabilities of landslide impacts derived from a data-driven statistical approach and a physically based model of shallow landsliding. Our statistical approach integrates the influence of seven site attributes (SAs) on observed landslides using a frequency ratio (FR) method. Influential attributes and resulting susceptibility maps depend on the observations of landslides considered: all types of landslides, debris avalanches only, or source areas of debris avalanches. These observational datasets reflect the detection of different landslide processes or components, which relate to different landslide-inducing factors. For each landslide dataset, a stability index (SI) is calculated as a multiplicative result of the frequency ratios for all attributes and is mapped across our study domain in the North Cascades National Park Complex (NOCA), Washington, USA. A continuous function is developed to relate local SI values to landslide probability based on a ratio of landslide and non-landslide grid cells. The empirical model probability derived from the debris avalanche source area dataset is combined probabilistically with a previously developed physically based probabilistic model. A two-dimensional binning method employs empirical and physically based probabilities as indices and calculates a joint probability of landsliding at the intersections of probability bins. A ratio of the joint probability and the physically based model bin probability is used as a weight to adjust the original physically based probability at each grid cell given empirical evidence. The resulting integrated probability of landslide initiation hazard includes mechanisms not captured by the infinite-slope stability model alone. Improvements in distinguishing potentially unstable areas with the proposed integrated model are statistically quantified. We provide multiple landslide hazard maps that land managers can use for planning and decision-making, as well as for educating the public about hazards from landslides in this remote high-relief terrain.

GIS-based landslide hazard assessment: an overview

2005 ◽  
Vol 29 (4) ◽  
pp. 548-567 ◽  
Author(s):  
Wang Huabin ◽  
Liu Gangjun ◽  
Xu Weiya ◽  
Wang Gonghui
Keyword(s):  
Hazard Assessment ◽  
Landslide Hazard ◽  
Integrated System ◽  
Process Models ◽  
Land Utilization ◽  
Property A ◽  
Landslide Hazard Assessment ◽  
Landslide Hazards ◽  
Digital Elevation ◽  
Slope Management

In recent years, landslide hazard assessment has played an important role in developing land utilization regulations aimed at minimizing the loss of lives and damage to property. A variety of approaches has been used in landslide assessment and these can be classified into qualitative factor overlay, statistical models, geotechnical process models, etc. However, there is little work on the satisfactory integration of these models with geographic information systems (GIS) to support slope management and landslide hazard mitigation. This paper deals with several aspects of landslide hazard assessment by presenting a focused review of GIS-based landslide hazard assessment: it starts with a framework for GIS-based assessment of landslide hazard; continues with a critical review of the state of the art in using GIS and digital elevation models (DEM) for mapping and modelling landslide hazards; and concludes with a description of an integrated system for effective landslide hazard assessment and zonation incorporating artificial intelligence and data mining technology in a GIS-based framework of knowledge discovery.

scholarly journals Discussion: On seismic landslide hazard assessment

Géotechnique ◽  
2008 ◽  
Vol 58 (10) ◽  
pp. 831-834
Author(s):  
A. D. W. Sparks
Keyword(s):  
Hazard Assessment ◽  
Landslide Hazard ◽  
Landslide Hazard Assessment ◽  
Seismic Landslide

Analysis and Evaluation of Stability for the Landslide of Suoertou

2013 ◽  
Vol 353-356 ◽  
pp. 746-750
Author(s):  
Hai Jun Li ◽  
Hui Qing Zhang
Keyword(s):  
Stable State ◽  
General Situation ◽  
Geological Hazard ◽  
Analysis And Evaluation ◽  
Landslide Hazards ◽  
Property Losses ◽  
Investigation And Study

As one of the most familiar and serious danger geological hazard. Slope has caused huge life and property losses of our country and people. So it is necessary to analyze the stable state when facing serious landslide hazards, and giving a reasonable evaluation. Taking Suoertou landslide as an example In this paper, on the basis of investigation and study, general situation of Suoertou landslide is introduced, then the stable state is analyzed, calculated and evaluated, the conclusion is a depend basis for later treatment.

A NATIONAL PROGRAM FOR LANDSLIDE HAZARDS REDUCTION

Geology ◽  
1985 ◽  
Vol 13 (5) ◽  
pp. 323
Author(s):  
Dwight A. Sangrey
Keyword(s):  
National Program ◽  
Landslide Hazards
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