A Joint Regional Slope Mass Movement Susceptibility Map

The effect of forest fire on mass movement in Lebanese mountainous areas

International Journal of Wildland Fire ◽

10.1071/wf13077 ◽

2014 ◽

Vol 23 (6) ◽

pp. 845

Author(s):

Rouba Ziadé ◽

Chadi Abdallah ◽

Nicolas Baghdadi

Keyword(s):

Forest Fire ◽

Satellite Images ◽

Mass Movement ◽

Potential Effect ◽

Burn Severity ◽

Susceptibility Map ◽

Mass Movements ◽

Mountainous Areas ◽

Effect Factors ◽

Landsat Images

Mass movements are major hazards that threaten natural and human environments. In Lebanon, the occurrence of mass movements increased by almost 60% between 1956 and 2008. Forest fire has emerged as an additional hazard: it destroyed over 25% of Lebanon’s forests in a period less than 40 years. This paper investigates the potential effect of forest fire on the occurrence of mass movements in the Damour and Nahr Ibrahim watersheds of Lebanon. Mass movement and forest fire inventory maps were produced through remote sensing using aerial and satellite images. Forest fire was included as an additional factor in mass movement induction, and its effect was quantified from Landsat images through the normalised burn ratio (NBR) index. A field study was conducted to substantiate the mass movement inventory and NBR maps. Following the standardisation of the effect factors into layers using geographic information systems, the weight factor of each layer for inducing mass movements was evaluated using the modified InfoVal method, and a mass movement susceptibility map was generated. Exceeded only by changes in land cover, the NBR produced the highest weights, making forest fire burn severity the second highest factor influencing mass movement occurrence in the study areas.

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Spatial Correlation Between Land Development Level and Vulnerability Level of Mass Movement in the Watershed of Kayangan, Kulon Progo Regency, Yogayakarta Special Region

Forum Geografi ◽

10.23917/forgeo.v18i1.596 ◽

2004 ◽

Vol 18 (1) ◽

Author(s):

Junun Sartohadi ◽

Rina Purwaningsih

Keyword(s):

Spatial Correlation ◽

Mass Movement ◽

Land Development ◽

Research Area ◽

Soil Development ◽

Susceptibility Map ◽

Error Matrix ◽

Soil Class ◽

Color Indices ◽

Class 1

The objective of this research were: 1) to study the degree of soil development, and 2) to study the spatial correlation between the degree of soil development and the degree of mass movement susceptibility in the research area. The sampling method applied in this research was stratified sampling. Soil mapping units were applied as strata. The sample within strata was determined according the degree of mass movement susceptibility. The degree of soil development was determined using quantitative method of color indices and proflie index. The color indices were Buntley – Westin (B – W), Harden (H), and Hurst. The profile index was determined using solum, texture, structure, and soil consistency. The degree of mass movement susceptibility map was taken from PSBA UGM (2001). Spatial correlation between the soil development map and the mass movement susceptibility map was analyzed using “error matrix”. The result of this research indicated that the degree of soil development in the research area could be classified into three classes, i.e. class 1 (weakly develop soil); class 2 (moderately developed soil), class 3 (strongly developed soil). The degree of mass movement susceptibility was classified into three classes, i.e. class 1 (low susceptibility), class 2 (moderate susceptibility), and class 3 (high susceptibility). The result of error matrix calculation between mass movement susceptibility and soil development were 9.56%; 21.96%; 30.21% for BW + Ha, Hurst, and profile indices respectively. There values showed that there were low spatial correlations between the degree of soil development and mass movement susceptibility in the study area.

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Sustainable Management of a Mountain Community Vulnerable to Geohazards: A Case Study of Maolin District, Taiwan

Sustainability ◽

10.3390/su11154107 ◽

2019 ◽

Vol 11 (15) ◽

pp. 4107 ◽

Cited By ~ 2

Author(s):

John Franklin Harrison ◽

Chih-Hua Chang

Keyword(s):

Landslide Susceptibility ◽

Mass Movement ◽

Field Work ◽

Debris Avalanche ◽

Landslide Inventory ◽

Susceptibility Map ◽

The Sustainable Development ◽

Landslide Activity ◽

Challenges And Opportunities ◽

Landslide Susceptibility Index

This study investigates community-based landslide mitigation planning. The combination of a landslide susceptibility index (LSI) model, landslide inventory datasets, and field work is used to identify hazard-prone areas in Maolin District, Taiwan. Furthermore, to identify the challenges and opportunities affecting the sustainable development of mountain communities, a pilot survey was conducted in three such communities (Dona Village, Wanshan Village, and Maolin Village). The results reveal that there are two types of significant mass movement in such areas: debris avalanche and debris flow. The results also show that the LSI map and multi-temporal landslide inventory datasets correlate with landslide locations. Meander is identified as an important factor in landslide activity. The questionnaire results show that the residents of the study area lack awareness of and access to information related to landslide activity. Similarly, the local residents favor increased environmental protection, working within their community, and additional government spending in regard to managing geohazards. To increase the resilience of the community, an improved landslide susceptibility map is proposed based on the output of the results. Thus, this research improves upon the process of identifying, supporting, and bettering the management of communities prone to landslides.

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GEOSPATIAL MODEL FOR LARGE SCALE SEA CLIFF ROCKFALL SUSCEPTIBILITY MAPPING

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-3-w8-341-2019 ◽

2019 ◽

Vol XLII-3/W8 ◽

pp. 341-347

Author(s):

P. Redweik ◽

R. Matildes ◽

F. Marques

Keyword(s):

Laser Scanning ◽

Large Scale ◽

Mass Movement ◽

Susceptibility Map ◽

Mass Movements ◽

Aerial Photogrammetry ◽

The Status ◽

Logistic Regression Method ◽

Definition Of ◽

Gis Software

Abstract. Due to their relevance to the environment and economy, coastal areas are considered national strategic segments that should be preserved. Since erosion phenomena occur intensively in those areas, it is capital to monitor them in order to identify risk zones. In addition to national and regional studies, it is also necessary to conduct local monitoring of erosion prone areas, especially those which are often frequented by people, such as beaches limited by high cliffs. Large scale vertical mapping is necessary to model their susceptibility to mass movements, in order to provide adequate prevention, protection and assistance. Recent techniques like laser scanning or aerial photogrammetry using UAVs allow the definition of the status quo of a cliff wall and its situation a few years back. But to assess the susceptibility to rock mass movements in such cliff segments, inventories of past events are of primordial importance. These inventories allow applying several statistic models to better understand susceptibility together with a set of variables of internal and external nature regarding the cliff site. We present a case study focused on the beach of Ribeira d’Ilhas (Mafra, Portugal), where a workflow of terrestrial photogrammetry for present day situation and recovery of old analogue stereoscopic pairs (1999, 2000, 2003) was implemented. A mass movement inventory (1999-2014) was compiled by multitemporal comparison followed by a detailed characterization of the cliff using a GIS software. Finally, the application of the logistic regression method allowed the definition of a susceptibility map of the cliff wall towards the occurrence of mass movements.

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Landslide susceptibility mapping of Gdynia using geographic information system-based statistical models

Natural Hazards ◽

10.1007/s11069-021-04599-8 ◽

2021 ◽

Author(s):

Anna Małka

Keyword(s):

Logistic Regression ◽

Landslide Susceptibility ◽

Mass Movement ◽

Slope Angle ◽

Geographic Information ◽

Slope Aspect ◽

Susceptibility Map ◽

Conditioning Factors ◽

Susceptibility Maps ◽

Selection Of

AbstractThis work aims to prepare a reliable landslide susceptibility model and to analyse the factors contributing to landslides in a dynamic environment by considering the city of Gdynia, Poland as a case study. Geological, geomorphological, hydrological, hydrogeological, and anthropogenic predisposing factors are considered using geographic information systems. Ground types at different depths (1 m and 4 m b.g.l.) are used in the statistical susceptibility assessment for the first time. Landslide susceptibility maps are developed using two techniques in presenting landslides, 13 conditioning factors, and three statistical methods: landslide index, weight of evidence, and logistic regression. The considered factors have an influence on mass movement formation, but their roles are different. Many of these passive factors are interrelated and some of them are also related to active factors, i.e. triggers. Consideration of many thematic layers in the statistical approach allows for the selection of the most appropriate geo-environmental variables. The most significant conditioning factors that affect the likelihood of landsliding include land use and land cover as well as topography. The susceptibility maps generated by the index model and many interrelated passive factors appear to be over-predicted. The logistic regression model and only independent controlling factors (slope angle, slope aspect, and lithology) are sufficient to compile a reliable susceptibility map of Gdynia. Prediction rate curve plots show that the susceptibility map produced using logistic regression exhibits the highest prediction accuracy. The results emphasize the need to check independence in the selection of instability factors and the use of an independent subset of landslides for validation.

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Mapping snow avalanche releases by unmanned aerial vehicles (UAV) in Krkonoše mountain range, the Czech Republic

10.5194/egusphere-egu2020-19307 ◽

2020 ◽

Author(s):

Marketa Souckova ◽

Roman Juras

Keyword(s):

Czech Republic ◽

Mass Movement ◽

Winter Season ◽

Snow Avalanche ◽

Susceptibility Map ◽

Mean Annual Temperature ◽

Mountain Range ◽

Monitoring Methods ◽

The Czech Republic ◽

Avalanche Risk

Snow avalanche risk in the Czech Republic is mainly constrained to Krkono&#353;e mountains. Approximately twenty snow avalanches release every year during winter season, usually lasting from November to May. Although Krkono&#353;e belongs to mid-mountain range (highest peak 1602 m a.s.l.) due to its prevailing influence of moist, cold air masses and mean annual temperature about 0 &#176;C climate conditions are similar to high-elevation or subpolar climate. Despite the low altitude, Krkono&#353;e experiences considerable avalanche activity at fifty-five permanent paths and even cause fatalities. The monitoring of avalanche releases has been conducted since 1961, therefore most of the avalanches were reported to the extensive database (> 1100 events). The land use of the mountain range is changing and many areas are being deforested resulting in new avalanche prone areas. The presented research is based on results of previous project focused on the avalanche risk assessment in the Krkono&#353;e mountains and thus results are extended, and monitoring methods and creation of avalanche susceptibility maps are improved.It is clear, from abovementioned, that existing avalanche risk maps have to be reassessed. Therefore, release zones and avalanche susceptibility map must be determined.Mapping of avalanche activity includes continous monitoring of the avalanche paths by unmanned aerial systems photogrammetry (UAS-P) and ground GPS measurements of the avalanche path. This data will be used for evaluation of the mass movement dynamic model (RAMMS). &#160;Such a monitoring covers:<ol><li>Determination of release areas and snow heights must be accurate as the RAMMS result simulations are significantly affected by these inputs. This will be measured by UAV as it represents spatially high-resolution mapping of snow depths (accuracy of one decimetre) and due to safety reasons. Furthermore, snow depth determined by photogrammetry is spatially more accurate than interpolation of the ground GPS measures.</li> <li>Mapping the extent and depth of avalanche deposition along the avalanche track and in the runout zones</li> <li>Monitoring of snow characteristics in the avalanche prone area and incorporate this data into avalanche susceptibility model</li> </ol>The result of RAMMS model for entire Krkono&#353;e mountain range including czech and polish side will be parametrised and compared to newly obtained data of avalanche releases. The results can be then used by public authorities such as: Krkono&#353;e National Park administrations, Mountain rescue service of the Czech Republic or Institute of Forest Management.&#160;

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Mass Movements Susceptibility analysis and Assessment of Associeted Risks along the Southern Escarpment of the Bamileke Plateaus (West-Cameroon Highlands)

10.21203/rs.3.rs-502477/v1 ◽

2021 ◽

Author(s):

Raoul Merlin NDONBOU ◽

David Guimolaire Nkouathio ◽

Ghislain ZANGMO TEFOGOUM ◽

Christian Suh GUEDJEO ◽

Sylvie Noelle DJUKEM FENGUIA ◽

...

Keyword(s):

High Probability ◽

Mass Movement ◽

Bare Soil ◽

Anthropogenic Factors ◽

Susceptibility Map ◽

Mass Movements ◽

Anthropogenic Action ◽

Low Probability ◽

Geological Formations ◽

Slope Direction

Abstract The Southern Escarpment of the Bamileke Plateaux (SEBP) is an area frequently affected by mass movements. An analysis of the susceptibility of these hazards is important in order to better understand these mountain processes. Field campaigns as well as the exploitation of satellite images in the laboratory have made it possible to inventory all sites subject to mass movements in the region. The region is affected by landslides, block falls and subsidence. Landslides are the most frequent hazard in the region. These hazards are regulated by about 10 natural and anthropogenic factors which include lithology, geomorphology, anthropogenic action, soil, proximity to roads, proximity to watercourses, density of watercourses, slope, direction of slopes, and curvature of slopes. The steepest slopes are between 27 and 90°, the most important slopes are oriented Nord-West. The curvature of the slopes shows zero, convex and concave slopes. The soils in the area are ferralitic, humus-bearing and hydromorphic. The land use shows bare soil and cultivated soil. The geomorphology shows altitudes ˃ 1319m, the highest stream densities range from 183-293m and constitute the significant proximities causing instabilities. In relation to the different classes of river proximity, the highest river proximities are ˃120m. The highest road proximities are ˃ 50m relative to the other road proximity classes. The geological formations that dominate the area are basalts, mylonites, granites gneisses and charnokites. These factors were mapped and the different maps were overlaid to obtain a mass movement susceptibility map of the study area. This map shows that 16.95% represent low probability areas, 43.39% represent moderate probability areas, 29.77% represent high probability areas and 9.89% represent very high probability areas. The majority of mass movements, especially landslides, are located in the high probability areas.

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WACANA, KUASA DAN AGAMA DALAM KONTESTASI PILGUB JAKARTA

ALQALAM ◽

10.32678/alqalam.v34i2.792 ◽

2017 ◽

Vol 34 (2) ◽

pp. 47

Author(s):

Joko Priyanto

Keyword(s):

Civil Society ◽

Power Relations ◽

Mass Movement ◽

Power Structure ◽

Hegemonic Discourse ◽

Islamic Society

Religion Blasphemy addressed to Jakarta Governor who is also a candidate for Jakarta Governor Election 2017 is the beginning of a series of polemic along process of Jakarta Governor Election 2017. This case triggers friction between Islamic society as a civil society and government as authority. This research explored this case by using theory of power relations Foucault. The result shows that the mass movement of Islamic society is power from Islamic society knowledge. Power structure tries to discipline this movement by hegemony in form of discourse. However, hegemonic discourse from civil society (Islamic society) also tries to challenge. The fight of hegemonic in form of discourse becomes so viral in all media, element and institution. This research shows that the discourse of Leader and Diversity is a signifier empty which be contestation of giving meaning. Keywords: knowledge, power, Foucoult, religion.

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