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Готові списки джерел за темами / Landslide hazard maps / Статті в журналах

Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Landslide hazard maps.

Статті в журналах з теми "Landslide hazard maps"

Автор: Grafiati

Опубліковано: 7 червня 2025

Оновлено: 2 серпня 2025

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1

Wahba, Mohamed, Mustafa El-Rawy, Nassir Al-Arifi, and Mahmoud M. Mansour. "A Novel Estimation of the Composite Hazard of Landslides and Flash Floods Utilizing an Artificial Intelligence Approach." Water 15, no. 23 (2023): 4138. http://dx.doi.org/10.3390/w15234138.

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Landslides and flash floods are significant natural hazards with substantial risks to human settlements and the environment, and understanding their interconnection is vital. This research investigates the hazards of landslides and floods in two adopted basins in the Yamaguchi and Shimane prefectures, Japan. This study utilized ten environmental variables alongside categories representing landslide-prone, non-landslide, flooded, and non-flooded areas. Employing a machine-learning approach, namely, a LASSO regression model, we generated Landslide Hazard Maps (LHM), Flood Hazard Maps (FHM), and

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2

Ivanov, Plamen, Nikolai Dobrev, Boyko Berov, Antoaneta Frantzova, Miroslav Krastanov, and Rosen Nankin. "Landslide risk for the territory of Bulgaria by administrative districts." Geologica Balcanica 51, no. 3 (2022): 21–28. http://dx.doi.org/10.52321/geolbalc.51.3.21.

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An assessment of the landslide risk (Rls) for the territory of Bulgaria by administrative districts has been made by combining the vulnerability (V) and landslide hazard (Hls) maps. Landslides are a significant part of geological hazards and are widespread throughout the country. In order to assess the landslide risk for the territory of Bulgaria, it is necessary to take into account not only all landslides for a given region, but also its vulnerability, and thus to assess the level of landslide risk for this region, Rls = f (V, Hls). Landslide risk is determined by a risk matrix, using select

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3

Ivanov, Plamen, Nikolai Dobrev, Boyko Berov, Antoaneta Frantzova, Miroslav Krastanov, and Rosen Nankin. "Landslide risk for the territory of Bulgaria by administrative districts." Geologica Balcanica 51, no. 3 (2022): 21–28. https://doi.org/10.52321/GeolBalc.51.3.21.

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Анотація:

An assessment of the landslide risk (<em>R<sub>ls</sub></em>) for the territory of Bulgaria by administrative districts has been made by combining the vulnerability (<em>V</em>) and landslide hazard (<em>H<sub>ls</sub></em>) maps. Landslides are a significant part of geological hazards and are widespread throughout the country. In order to assess the landslide risk for the territory of Bulgaria, it is necessary to take into account not only all landslides for a given region, but also its vulnerability, and thus to assess the level of landslide risk for this region, <em

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4

Hidayah, Radhitya Adzan, and Nurul Dzakiya. "Analysis Geological and Geophysical Data for Prediction Landslide Hazard Zone with Weight of Evidence Method in Pacitan District East Java." Journal of Applied Geospatial Information 2, no. 1 (2018): 117–23. http://dx.doi.org/10.30871/jagi.v2i1.830.

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Pacitan district have an interesting anomaly. Every time mostly impacted by disaster especially landslide. Landslides in their various forms are common hazard in mountainous terrain, especially in seismically active areas and regions of high rainfall. Landslides are one of the most common natural hazards in the Southern Range East Java terrain, causing widespread damage to property and infrastructure, besides the loss of human lives almost every year. The aim of this study predicted the potential landslide using Weight of Evidence Method. The geological data used lithological data, structural

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5

Kawagoe, S., S. Kazama, and P. R. Sarukkalige. "Probabilistic modelling of rainfall induced landslide hazard assessment." Hydrology and Earth System Sciences 14, no. 6 (2010): 1047–61. http://dx.doi.org/10.5194/hess-14-1047-2010.

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Abstract. To evaluate the frequency and distribution of landslides hazards over Japan, this study uses a probabilistic model based on multiple logistic regression analysis. Study particular concerns several important physical parameters such as hydraulic parameters, geographical parameters and the geological parameters which are considered to be influential in the occurrence of landslides. Sensitivity analysis confirmed that hydrological parameter (hydraulic gradient) is the most influential factor in the occurrence of landslides. Therefore, the hydraulic gradient is used as the main hydraulic

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6

Zhafran, Muhammad Naufal, Moh Yanuar Jarwadi Purwanto, and Heriansyah Putra. "Analysis of settlement distribution in relation to landslide hazard areas in Pamijahan, Bogor Regency." BIO Web of Conferences 171 (2025): 02012. https://doi.org/10.1051/bioconf/202517102012.

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A landslide hazard map is a useful tool for assessing and mitigating slope instability. Landslides are influenced by static factors (soil type, permeability, topography), and dynamic factors (rainfall, land cover changes). Recently, the number of developing areas has increased to meet population growth; thus, the presence of landslide hazard maps has become crucial to avoid residents developing in prone areas. This study developed a map of the settlement distribution within landslide-prone zones in Pamijahan, Bogor Regency. It assesses the feasibility of residential areas by classifying them a

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7

Mohammed, Endris Jemal. "Landslide hazard mapping in Wuchale Town, South Wollo, Ethiopia: An expert approach." International Journal of Applied Research 10, no. 1 (2024): 52–65. https://doi.org/10.5281/zenodo.13621916.

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The present study was conducted in the northern part of the Ethiopian Plateau, specifically in Wuchalle town and its surrounding area. The study area has been facing recurrent landslide issues over the past years, prompting this research study to address the severity of landslides and related instability problems.  The main objective of this study was to evaluate landslide susceptible areas and create landslide hazard zonation map. To achieve the goals of the present study, Slope Stability Suitability Evaluation Parameter rating scheme techniques were used. Nine factors were identified as

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8

Rachmawati, Turningtyas Ayu, Adi Susilo, Dwi Rahmawati, and Yunita Ratih Wijayanti. "LANDSLIDE HAZARD LEVEL IN PASURUAN REGENCY." Proceedings of the 1st International Conference on Social Science (ICSS) 1, no. 1 (2022): 459–66. http://dx.doi.org/10.59188/icss.v1i1.60.

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Pasuruan Regency is an area with potential for landslides, particularly along the Arjuno-Welirang Slope and the Bromo Tengger Semeru National Park (TNBTS). Geographical conditions, high slopes, and andosols and litosols that are easily eroded, further exacerbated by human activities such as land-use changes, lead to increasingly high landslide potentials. The TNBTS Area and Arjuna-Welirang Mountains are priority destinations for national tourism. Therefore, efforts for disaster risk reduction are imperative. Assessment of landslide hazard levels is necessary as a basis for landslide mitigation

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9

Kawagoe, S., S. Kazama, and P. R. Sarukkalige. "Probabilistic modelling of rainfall induced landslide hazard assessment." Hydrology and Earth System Sciences Discussions 7, no. 1 (2010): 725–66. http://dx.doi.org/10.5194/hessd-7-725-2010.

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Анотація:

Abstract. To evaluate the frequency and distribution of landslides hazards over Japan, this study uses a probabilistic model based on multiple logistic regression analysis. Study particular concerns several important physical parameters such as hydraulic parameters, geographical parameters and the geological parameters which are considered to be influential in the occurrence of landslides. Sensitivity analysis confirmed that hydrological parameter (hydraulic gradient) is the most influential factor in the occurrence of landslides. Therefore, the hydraulic gradient is used as the main hydraulic

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10

Mabaquiao, L. C. "PERFORMANCE EVALUATION OF TEMPORAL MODEL AND SPATIAL CORRELATION METHODS FOR PERSISTENT SCATTERER DETERMINATION IN LANDSLIDE PRONE AREAS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W8-2023 (April 25, 2024): 343–49. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w8-2023-343-2024.

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Abstract. The Philippines is no stranger to natural hazards. Aside from flooding, landslides emerge as a primary contributor to damage dealt by natural hazards. Traditional methods for landslide monitoring require on-site field measurements, which makes them resource-intensive and time-consuming. Moreover, the frequency of updating of existing landslide hazard maps is limited by resources and manpower. This research introduces the application of remote sensing technology, specifically Persistent Scatter Interferometry (PSI), as a complementary tool for updating hazard maps. PSI enables the ide

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11

Tripathi, M. K., H. Govil, P. K. Champati ray, and I. C. Das. "LANDSLIDE HAZARD ZONATION MAPPING OF CHAMOLI LANDSLIDES IN REMOTE SENSING AND GIS ENVIRONMENT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5 (November 19, 2018): 475–80. http://dx.doi.org/10.5194/isprs-archives-xlii-5-475-2018.

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<p><strong>Abstract.</strong> Landslides are very common problem in hilly terrain. Chamoli region of Himalaya is highest sensitive zone of the landslide hazards. The purpose of Chamoli landslide study, to observe the important terrain factors and parameters responsible for landslide initiation. Lithological, geomorphological, slope, aspect, landslide, drainage density and lineament density map generated in remote sensing and GIS environment. Data information of related geological terrain obtain through topographic maps, remote sensing images, field visits and geological maps.

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12

Benni, THIEBES, BAI Shibiao, XI Yanan, GLADE Thomas, and BELL Rainer. "Combining landslide susceptibility maps and rainfall thresholds using a matrix approach." Revista de Geomorfologie 19, no. 1 (2017): 58–74. http://dx.doi.org/10.21094/rg.2017.003.

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Анотація:

On the regional scale, investigations on future landslide can broadly be distinguished in spatial or temporal analyses, i.e. landslide susceptibility or hazard maps, and landslide triggering rainfall thresholds. Even though both approaches have its uses e.g. in spatial planning, risk management and early warning, they also have limitations. Susceptibility and hazard maps do not contain information on when landslides will be triggered, while rainfall thresholds give no detailed indication on where a landslide might take place. The combination of spatial and temporal landslide research remains a

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13

Fukuoka, Hiroshi. "Application of ICT to Contribution to Resilient Society Against Landslides." Journal of Disaster Research 5, no. 6 (2010): 650–56. http://dx.doi.org/10.20965/jdr.2010.p0650.

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Among the three online landslide databases introduced here, we focus on Japan’s large-scale online landslide topography distribution mapping as a gratis Software as a Service (SaaS) application that has proven effective in hazard mapping because many large new landslides have recurred at old landslide sites. Google Earth is an effective SaaS hazardmapping tool for extracting local community landslide microtopography. Combining these maps and handwritten landslide site drawings provides economical, reliable hazard maps for community residents in developing and developed countries. Author propos

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14

Strauch, Ronda, Erkan Istanbulluoglu, and Jon Riedel. "A new approach to mapping landslide hazards: a probabilistic integration of empirical and physically based models in the North Cascades of Washington, USA." Natural Hazards and Earth System Sciences 19, no. 11 (2019): 2477–95. http://dx.doi.org/10.5194/nhess-19-2477-2019.

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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 dete

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15

Lovric, Novica, and Radislav Tosic. "Validation of landslide susceptibility maps (Case study: Urban area of the municipality of Banja Luka - B&H)." Glasnik Srpskog geografskog drustva 97, no. 1 (2017): 19–34. http://dx.doi.org/10.2298/gsgd1701019l.

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Landslides represent a serious geo-hazard in many areas of the world. They are one of the most damaging and most significant geo-hazards in Bosnia and Herzegovina. In the previous research, three GIS-based methodologies (Index based method, Statistical index method, and Landslide susceptibility analysis), have been used to assess the landslide susceptibility in urban area of the Municipality of Banja Luka. Validation technique is performed by comparing existing landslide data from 2012 with obtained landslide susceptibility maps. In this research, the landslide susceptibility maps were supplem

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16

Hafiza, Ellin, Budi Utomo, and Helfa Seftinar. "Analysis of landslide risk in south OKU Regency, Indonesia." Glasnik Srpskog geografskog drustva 104, no. 2 (2024): 147–66. https://doi.org/10.2298/gsgd2402147h.

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Landslides cause significant economic, physical, and environmental losses. This research aims to analyse landslide risk using hazard analysis, vulnerability analysis, regional capacity analysis, and landslide disaster risk analysis. The study was conducted in South OKU Regency, one of the regencies in South Sumatra Province, which frequently experiences landslides. The method used in this research is a survey method. The data includes DEM data, slope types, land cover type maps, rainfall maps, soil type maps, physical infrastructure, economic losses, environmental damage, development plans, re

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17

Abdurrohim and Hidayat Firman. "Mapping of landslide hazards prediction using geographic information system in Solok District." MATEC Web of Conferences 229 (2018): 04003. http://dx.doi.org/10.1051/matecconf/201822904003.

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Solok District is one of the areas prone to the landslide in West Sumatera Province. Generally, landslides are caused by natural and human factors. The aims of this study are to predict the location of the highest landslide hazard distribution in Solok District and to know the level of vulnerability of landslide hazards in Solok District. This study consists of preparatory steps, field survey, analysis and processing of the data based on 4 types of maps, i.e. rainfall, soil type, geological, and slope maps. These maps then scoring in 5 types of vulnerability levels. As the results of this stud

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18

Muminov, B. Kh, I. K. Fomenko, and O. N. Sirotkina. "Landslide hazard assessment of the Norak region of Tadjikistan." Proceedings of higher educational establishments. Geology and Exploration, no. 1 (June 22, 2022): 50–60. http://dx.doi.org/10.32454/0016-7762-2022-64-1-50-60.

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Introduction. The application of geographic information system (GIS) technologies is a promising technology for mapping and evaluating landslide hazards. At present, satellite-based terrestrial sensing is widely used. Satellite images make it possible not only to identify individual landslides, particularly in hard-to-reach areas, but also to identify those locations where landslide processes have manifested, are manifesting and may manifest themselves in the future.Aim. Mapping of the present landslide propagation in the territory of the Norak region of Tajikistan using satellite imaging and

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19

Kocaman, S., and C. Gokceoglu. "POSSIBLE CONTRIBUTIONS OF CITIZEN SCIENCE FOR LANDSLIDE HAZARD ASSESSMENT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W4 (March 6, 2018): 295–300. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w4-295-2018.

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<p><strong>Abstract.</strong> Landslide is perhaps one of the most complex natural phenomena and is quite common throughout the World. Before the human appearance on the World, it was only an earth surface process, whereas it became one of the most destructive natural hazards with the anthropogenic activities and the increase in human population. Landslides cause serious harmful and destructive effects on roads, railways, buildings, infrastructures, lifelines, quality of surface waters, etc. To reduce the losses caused by landslides, high quality landslide susceptibility and

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20

Oli, Tej Raj. "Landslide Hazard Assessment and Distribution Mapping: A Case from Triveni Rural Municipality, Nepal." American Journal of Geospatial Technology 1, no. 1 (2022): 34–43. http://dx.doi.org/10.54536/ajgt.v1i1.468.

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An application of GIS for landslide hazard assessment using multivariate statistical analysis, mapping, and the evaluation of the hazard maps is crucial for disaster risk reduction. Landslides are the rapid downward movement of a mass of rock, earth or artificial fill to the slope. The study was conducted the Khara of Triveni Rural municipality of Rukum West district and it covers three wards (3, 4 & 5) of rural municipality covering the total area of about 33.52 square kilometres located in the Karnali province of Nepal which is under the pressure of high road construction activities. Dat

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21

Oli, Tej Raj. "Landslide Hazard Assessment and Distribution Mapping: A Case from Triveni Rural Municipality, Nepal." American Journal of Geospatial Technology 1, no. 1 (2022): 34–43. https://doi.org/10.5281/zenodo.7309610.

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Анотація:

An application of GIS for landslide hazard assessment using multivariate statistical analysis, mapping, and the evaluation of the hazard maps is crucial for disaster risk reduction. Landslides are the rapid downward movement of a mass of rock, earth or artificial fill to the slope. The study was conducted the Khara of Triveni Rural municipality of Rukum West district and it covers three wards (3, 4 & 5) of rural municipality covering the total area of about 33.52 square kilometres located in the Karnali province of Nepal which is under the pressure of high road construction activities. Dat

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22

Bibi, T., Y. Gul, A. Abdul Rahman, and M. Riaz. "LANDSLIDE SUSCEPTIBILITY ASSESSMENT THROUGH FUZZY LOGIC INFERENCE SYSTEM (FLIS)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W1 (September 30, 2016): 355–60. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w1-355-2016.

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Landslide is among one of the most important natural hazards that lead to modification of the environment. It is a regular feature of a rapidly growing district Mansehra, Pakistan. This caused extensive loss of life and property in the district located at the foothills of Himalaya. Keeping in view the situation it is concluded that besides structural approaches the non-structural approaches such as hazard and risk assessment maps are effective tools to reduce the intensity of damage. A landslide susceptibility map is base for engineering geologists and geomorphologists. However, it is not easy

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23

Meena, Sansar, Omid Ghorbanzadeh, and Thomas Blaschke. "A Comparative Study of Statistics-Based Landslide Susceptibility Models: A Case Study of the Region Affected by the Gorkha Earthquake in Nepal." ISPRS International Journal of Geo-Information 8, no. 2 (2019): 94. http://dx.doi.org/10.3390/ijgi8020094.

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As a result of the Gorkha earthquake in 2015, about 9000 people lost their lives and many more were injured. Most of these losses were caused by earthquake-induced landslides. Sustainable planning and decision-making are required to reduce the losses caused by earthquakes and related hazards. The use of remote sensing and geographic information systems (GIS) for landslide susceptibility mapping can help planning authorities to prepare for and mitigate the consequences of future hazards. In this study, we developed landslide susceptibility maps using GIS-based statistical models at the regional

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24

Marin, Roberto J., Julián Camilo Marín-Sánchez, Johan Estiben Mira, Edwin F. García, Binru Zhao, and Jeannette Zambrano. "Landslide Hazard and Rainfall Threshold Assessment: Incorporating Shallow and Deep-Seated Failure Mechanisms with Physics-Based Models." Geosciences 14, no. 10 (2024): 280. http://dx.doi.org/10.3390/geosciences14100280.

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Landslides pose a significant threat worldwide, leading to numerous fatalities and severe economic losses. The city of Manizales, located in the Colombian Andes, is particularly vulnerable due to its steep topography and permeable volcanic ash-derived soils. This study aims to assess landslide hazards in Manizales by integrating shallow planar and deep-seated circular failure mechanisms using physics-based models (TRIGRS and Scoops3D). By combining hazard zonation maps with rainfall thresholds calibrated through historical data, we provide a refined approach for early warning systems (EWS) in

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25

Li, W. Y., C. Liu, and J. Gao. "THE FRAMEWORK ON MULTI-SCALE LANDSLIDE HAZARD EVALUATION IN CHINA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 22, 2016): 105–7. http://dx.doi.org/10.5194/isprs-archives-xli-b8-105-2016.

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Nowadays, Landslide has been one of the most frequent and seriously widespread natural hazards all over the world. How landslides can be monitored and predicted is an urgent research topic of the international landslide research community. Particularly, there is a lack of high quality and updated landslide risk maps and guidelines that can be employed to better mitigate and prevent landslide disasters in many emerging regions, including China. This paper considers national and regional scale, and introduces the framework on combining the empirical and physical models for landslide evaluation.

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26

Li, W. Y., C. Liu, and J. Gao. "THE FRAMEWORK ON MULTI-SCALE LANDSLIDE HAZARD EVALUATION IN CHINA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 22, 2016): 105–7. http://dx.doi.org/10.5194/isprsarchives-xli-b8-105-2016.

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Анотація:

Nowadays, Landslide has been one of the most frequent and seriously widespread natural hazards all over the world. How landslides can be monitored and predicted is an urgent research topic of the international landslide research community. Particularly, there is a lack of high quality and updated landslide risk maps and guidelines that can be employed to better mitigate and prevent landslide disasters in many emerging regions, including China. This paper considers national and regional scale, and introduces the framework on combining the empirical and physical models for landslide evaluation.

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27

Luzon, P. K., K. P. Montalbo, J. A. M. Galang, et al. "Structurally controlled hazard mapping of Southern Leyte, Philippines." Natural Hazards and Earth System Sciences Discussions 3, no. 10 (2015): 5891–921. http://dx.doi.org/10.5194/nhessd-3-5891-2015.

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Abstract. The 2006 Guinsaugon landslide in St. Bernard, Southern Leyte is one of the largest known landslides in the Philippines in recent history. It consists of a 15–20 million m3 rockslide-debris avalanche from an approximately 675 m high mountain weakened by continuous movement of the Philippine fault. The catastrophic Guinsaugon landslide killed 1221 people and displaced 19 000 residents over its 4.5 km path. To investigate the present day morphology of the scar and potential failure that may occur, analysis of a 5 m resolution IfSAR-derived Digital Elevation Model was conducted using Col

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28

Park, Jae-Hyeon, Sang-Hyeon Lee, and Hyun Kim. "Assessment of Internal and External Factors Causing Slow-Moving Landslides." Applied Sciences 13, no. 20 (2023): 11444. http://dx.doi.org/10.3390/app132011444.

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There have been limited studies on slow-moving landslides in South Korea despite their frequent occurrence. Moreover, a national slow-moving landslide hazard information system (SMLHIS) is needed. Herein, we conducted an overlap analysis of 15 slow-moving landslide areas with clear occurrence timings with national landslide hazard maps (LHMs) using the geographic information system data. Additionally, internal and external factors causing slow-moving landslides were analyzed. The results of the overlap analysis showed that slow-moving landslide areas occurred in low-hazard and excluded non-haz

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29

Juniati, Atie Tri, Nicco Plamonia, Dwi Ariyani, Muhammad Fitrah, and Dwi Agus Kuncoro. "Landslide hazard mapping and bio-engineering solutions for riverbank stabilization in the Cisanggarung River Basin, Indonesia: A GIS-based approach." Journal of Degraded and Mining Lands Management 12, no. 3 (2025): 7637–48. https://doi.org/10.15243/jdmlm.2025.123.7637.

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Landslides along riverbanks pose significant risks to infrastructure, human safety, and environmental stability. This study used a GIS-based approach to map landslide hazards and implement bio-engineering solutions for riverbank stabilization in the Cisanggarung River Basin (CRB), Indonesia. The analysis incorporated multiple parameters, including slope, soil type, land use, and riverbank characteristics, to identify potential landslide-prone areas. Data from DEMNAS, soil type maps, and land cover maps were processed using GIS tools to generate a comprehensive landslide hazard map. The results

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Wilopo, Wahyu, Doni Prakasa Eka Putra, Teuku Faisal Fathani, Avantio Pramaditya, Restu Tandirerung, and Egy Erzagian. "Comparison of two landslide hazard zonation methods in the volcanic terrain of Temanggung Regency, Central Java, Indonesia." Journal of Degraded and Mining Lands Management 10, no. 3 (2023): 4537. http://dx.doi.org/10.15243/jdmlm.2023.103.4537.

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Landslides are a recurring phenomenon that disrupts the natural environment and causes yearly property damage, economic losses, and fatalities. The damage is expected to increase due to deforestation rates, population growth, agriculture, slope-building infrastructure expansion, and global climate change. This study assesses the susceptibility to landslides through Weight of Evidence (WoE) and Frequency Ratio (FR) methods in the Temanggung Regency, Central Java Province, Indonesia, that located on the slopes of two active volcanoes. Initially, a landslide record and the input parameters of the

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Thapa, Laxmi, Shrijana Panta, Sanjeev Kumar Raut, et al. "Multihazard Mapping of Banepa and Panauti Municipalities." Journal on Geoinformatics, Nepal 13 (March 13, 2017): 25–31. http://dx.doi.org/10.3126/njg.v13i0.16934.

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A combination of rough topography, steep slopes, active tectonic and seismic process and intense impact of monsoon rain has made the fragile environment of Nepal vulnerable to a variety of natural hazards. Most frequent hazards are floods, landslides, epidemics, fires, earthquake and other hydro-meteorological disasters, causing heavy loss of human lives as well as economic loss including housing and infrastructures (MDRIP, 2009). Hence, hazard assessments are the need of the hour. They help district and regional decision makers, policy makers and development agencies prepare disaster risk red

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Cemiloglu, Ahmed, Licai Zhu, Agab Bakheet Mohammednour, Mohammad Azarafza, and Yaser Ahangari Nanehkaran. "Landslide Susceptibility Assessment for Maragheh County, Iran, Using the Logistic Regression Algorithm." Land 12, no. 7 (2023): 1397. http://dx.doi.org/10.3390/land12071397.

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Landslide susceptibility assessment is the globally approved procedure to prepare geo-hazard maps of landslide-prone areas, which are highly used in urban management and minimizing the possible disasters due to landslides. Multiple approaches to providing susceptibility maps for landslides have one specification. Logistic regression is a statistical-based model that investigates the probabilities of the events which is received extensive success in landslide susceptibility assessment. The presented study attempted to use a logistic regression application to prepare the Maragheh County hazard r

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Kwak, Jae Hwan, and Kon Joon Bhang. "Analysis of Landslide Risk Considering Extreme Precipitation Conditions for Gyeonggi-do Gwangju Region." Crisis and Emergency Management: Theory and Praxis 17, no. 9 (2021): 81–89. http://dx.doi.org/10.14251/crisisonomy.2021.17.9.81.

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South Korea is featured by the rugged topography that is composed of mountains about 68% of the country and the weather that rainfall is mostly concentrated during the summer. These topographic and meteorological features have caused disasters such as landslide and avalanche from mountains every year. Especially, urban expansion caused urban boundaries to get closer to steep slopes of mountains and residents are seriously exposed to disasters such as landslides so appropriate measures should be required. We, however, are facing the limitations in prevention and mitigation of landslide disaster

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Mehrotra, G. S., S. Sarkar, D. P. Kanungo, and K. Mahadevaiah. "Terrain Analysis and Spatial Assessment of Landslide Hazards in Parts of Sikkim Himalaya." Journal Geological Society of India 47, no. 4 (1996): 491–98. http://dx.doi.org/10.17491/jgsi/1996/470411.

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Abstract Landslides and slope instability problems are quite common in Sikkim Himalaya. Recent developmental activities in this region have aggravated the incidence of landslides to a great extent. The ongoing developmental activities, therefore, call for delineation of safe and unsafe zones. The present study involves the preparation of landslide hazard zonation map of East Sikkim Himalaya in a semiquantitative way by evaluating various terrain factors like lithology, structure, slope, landuse and drainage in relation to existing landslides. A numerical weightage called Landslide Susceptibili

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Harmouzi, Hasnaa, Romy Schlögel, Marta Jurchescu, and Hans-Balder Havenith. "Landslide Susceptibility Mapping in the Vrancea-Buzău Seismic Region, Southeast Romania." Geosciences 11, no. 12 (2021): 495. http://dx.doi.org/10.3390/geosciences11120495.

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This study presents the results of a landslide susceptibility analysis applied to the Vrancea-Buzău seismogenic region in the Carpathian Mountains, Romania. The target area is affected by a large diversity of landslide processes. Slopes are made-up of various types of rocks, climatic conditions can be classified as wet, and the area is a seismically active one. All this contributes to the observed high landslide hazard. The paper analyses the spatial component of the landslide hazard affecting the target area, the regional landslide susceptibility. First, an existing landslide inventory was co

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Nachappa, Thimmaiah Gudiyangada, Omid Ghorbanzadeh, Khalil Gholamnia, and Thomas Blaschke. "Multi-Hazard Exposure Mapping Using Machine Learning for the State of Salzburg, Austria." Remote Sensing 12, no. 17 (2020): 2757. http://dx.doi.org/10.3390/rs12172757.

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We live in a sphere that has unpredictable and multifaceted landscapes that make the risk arising from several incidences that are omnipresent. Floods and landslides are widespread and recurring hazards occurring at an alarming rate in recent years. The importance of this study is to produce multi-hazard exposure maps for flooding and landslides for the federal State of Salzburg, Austria, using the selected machine learning (ML) approach of support vector machine (SVM) and random forest (RF). Multi-hazard exposure maps were established on thirteen influencing factors for flood and landslides s

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Coman, Cristina, and Sanda Manea. "Landslides Hazard Assessment Using Different Approaches." Mathematical Modelling in Civil Engineering 13, no. 2 (2017): 1–16. http://dx.doi.org/10.1515/mmce-2017-0004.

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AbstractRomania represents one of Europe’s countries with high landslides occurrence frequency. Landslide hazard maps are designed by considering the interaction of several factors which, by their joint action may affect the equilibrium state of the natural slopes. The aim of this paper is landslides hazard assessment using the methodology provided by the Romanian national legislation and a very largely used statistical method. The final results of these two analyses are quantitative or semi-quantitative landslides hazard maps, created in geographic information system environment. The data bas

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Tang, Chuan, Jing Zhu, and Xin Qi. "Landslide hazard assessment of the 2008 Wenchuan earthquake: a case study in Beichuan area." Canadian Geotechnical Journal 48, no. 1 (2011): 128–45. http://dx.doi.org/10.1139/t10-059.

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The Wenchuan earthquake (magnitude Ms = 8.0) of 12 May 2008 triggered widespread and large-scale landslides over an area of about 50 000 km2. A study was undertaken to determine the primary factors associated with seismic landslide occurrence. An index-based approach used to assess earthquake-triggered landslide hazard in the central part of the Wenchuan earthquake area affected is described. Slope gradient, relief amplitude, lithology, bedding–slope relations, fault proximity, stream proximity, and antecedent rainfall are recognized as factors that may have had an important influence on lands

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Løvholt, Finn, Sylfest Glimsdal, and Carl B. Harbitz. "On the landslide tsunami uncertainty and hazard." Landslides 17, no. 10 (2020): 2301–15. http://dx.doi.org/10.1007/s10346-020-01429-z.

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Abstract Landslides are the second most frequent tsunami source worldwide. However, their complex and diverse nature of origin combined with their infrequent event records make prognostic modelling challenging. In this paper, we present a probabilistic framework for analysing uncertainties emerging from the landslide source process. This probabilistic framework employs event trees and is used to conduct tsunami uncertainty analysis as well as probabilistic tsunami hazard analysis (PTHA). An example study is presented for the Lyngen fjord in Norway. This application uses a mix of empirical land

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Naryanto, Heru Sri. "KAJIAN PETA BAHAYA TANAH LONGSOR DI KABUPATEN BANGGAI LAUT, PROVINSI SULAWESI TENGAH (STUDY OF LANDSLIDE HAZARD MAP IN THE BANGGAI LAUT DISTRICT, CENTRAL SULAWESI PROVINCE)." Jurnal Alami : Jurnal Teknologi Reduksi Risiko Bencana 2, no. 1 (2018): 36. http://dx.doi.org/10.29122/alami.v2i1.2695.

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ABSTRACTBanggai Laut District which consists of islands has many threats to natural disaster, one of them is landslide hazard. The landslides hazard in Banggai Laut District is formed due to morphology which mostly in the form of wavy morphology up to the hills. The thematic map data used in landslide hazard map analysis is the official data held by the Banggai Laut District Government. The weighting and rating system is carried out on several parameters: geology (15%), slope (40%), land cover (25%) and rainfall (20%). Data from these parameters are overlaid with geographic information system

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Narayana, Sreedevi, and Karthikeyan Jayaraman. "Landslide Hazard Zonation Mapping using MCDM Techniques – A study over Kodagu District, Karnataka." Disaster Advances 16, no. 9 (2023): 60–70. http://dx.doi.org/10.25303/1609da060070.

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Landslides pose significant and recurring hazards in various parts of India, particularly during the rainy season, causing extensive damage to infrastructure and loss of life. To address this issue, it is crucial to map the hazardous zones, raise awareness among local communities and guide authorities in disaster management efforts. This study aimed to develop a landslide hazard zonation map using different thematic maps such as aspect, drainage density, geology, lineament density, land use land cover, rainfall, road network, slope and soil layers. The study employing methods such as AHP and a

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Román-Herrera, José Carlos, Martín Jesús Rodríguez-Peces, and Julio Garzón-Roca. "Comparison between Machine Learning and Physical Models Applied to the Evaluation of Co-Seismic Landslide Hazard." Applied Sciences 13, no. 14 (2023): 8285. http://dx.doi.org/10.3390/app13148285.

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A comparative methodology between advanced statistical tools and physical-based methods is carried out to ensure their reliability and objectivity for the evaluation of co-seismic landslide hazard maps. To do this, an inventory of landslides induced by the 2011 Lorca earthquake is used to highlight the usefulness of these methods to improve earthquake-induced landslide hazard analyses. Various statistical models, such as logistic regression, random forest, artificial neural network, and support vector machine, have been employed for co-seismic landslide susceptibility mapping. The results demo

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Santangelo, M., I. Marchesini, F. Bucci, M. Cardinali, F. Fiorucci, and F. Guzzetti. "An approach to reduce mapping errors in the production of landslide inventory maps." Natural Hazards and Earth System Sciences Discussions 3, no. 7 (2015): 4189–229. http://dx.doi.org/10.5194/nhessd-3-4189-2015.

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Abstract. Landslide inventory maps (LIMs) show where landslides have occurred in an area, and provide information useful to different types of landslide studies, including susceptibility and hazard modelling and validation, risk assessment, erosion analyses, and to evaluate relationships between landslides and geological settings. Despite recent technological advancements, visual interpretation of aerial photographs (API) remains the most common method to prepare LIMs. In this work, we present a new semi-automatic procedure that exploits GIS technology for the digitalization of landslide data

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Nguyen, Minh Quang, Phi Quoc Nguyen, Pha Dong Phan, and Hung Viet Nguyen. "Application of Certainty Factor and Bayesian statistics models for evaluation of landslides and environmental factors at Bao Thang district and Lao Cai city, Lao Cai province." Journal of Mining and Earth Sciences 63, no. 2 (2022): 1–14. http://dx.doi.org/10.46326/jmes.2022.63(2).01.

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The study area is heavily affected by landslides with increasing frequency and intensity, causing serious damages and affecting the sustainable socio-economic development of the region. The use of mathematical methods in landslide research is increasingly interested due to the quantitative nature of parameters and calculation results. This study aims to apply the Certainty Factor (CF) and Bayesian statistics models for geological hazard evaluation. Landslide distribution is identified from remote sensing images and field surveys. Landslide inventory maps (428 landslides) were compiled by refer

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Barus, Baba. "PEMETAAN BAHAYA LONGSORAN BERDASARKAN KLASIFIKASI STATISTIK PEUBAH TUNGGAL MENGGUNAKAN SIG: STUDI KASUS DAERAH CIAWI-PUNCAK-PACET, JAWA-BARAT." Jurnal Ilmu Tanah dan Lingkungan 2, no. 1 (2009): 7–16. http://dx.doi.org/10.29244/jitl.2.1.7-16.

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Regarding environmental degradation in Puncak and its surrounding area due to the rapid landuse changes during 1981-1994, some mitigation schemes for soil erosion have been implemented but landslides. Data on landslide and its causative factors (landuse, soil, geology, slope, climate, and terrain mapping unit) and their relationships in the area are still not available. The objective of this research is to develop the method and procedures to map landslide hazards by using GIS (Geographical Information System) univariate-statistical analysis applied to the area as a case study. For this purpos

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Arfadly, A. R., H. Zubair, M. Mahyuddin, and A. S. Soma. "Effect landslide hazard mitigation using an integrated of Analytical Hierarchy Process and Multi Criteria Evaluation: A case study the Jeneberang watershed." E3S Web of Conferences 373 (2023): 06001. http://dx.doi.org/10.1051/e3sconf/202337306001.

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Jeneberang watershed has an important role in maintaining environmental stability, especially for the surrounding area. In 2004 a landslide occurred in the Jeneberang watershed which caused casualties and material losses. This study aims to determine the distribution and level of vulnerability to landslides in the Jeneberang watershed and to formulate an effective scenario to reduce the level of vulnerability. This research is located the Jeneberang watershed, South Sulawesi Province. The data used include data on the weight of each parameter and criteria for determining landslide susceptibili

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Ivanik, О., V. Shevchuk, D. Kravchenko, and К. Haduatska. "LANDSLIDE HAZARD PREDICTION AND IMPACT ON COMMINITY: MAIN APPROACHES, PRINCIPLES AND METHODS." Visnyk of Taras Shevchenko National University of Kyiv. Geology, no. 1 (100) (2023): 5–14. http://dx.doi.org/10.17721/1728-2713.100.01.

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The problem of predicting the landslide hazard is a priority area of research in the field of assessment of risks and natural disasters, which requires a comprehensive in-depth analysis of the factors of landslide formation, as well as the synthesis of existed theorethical and empiric data for a full understanding of the problem of landslide hazard and comprehensive assessment of its impact on community. The presented research is aimed at the development, implementation, and application of a comprehensive methodology for predicting landslide hazards and assessing their impact on the infrustruc

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Huqqani, Ilyas A., Lea Tien Tay, and Junita Mohamad Saleh. "Analysis of landslide hazard mapping of penang island malaysia using bivariate statistical methods." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 2 (2019): 781. http://dx.doi.org/10.11591/ijeecs.v16.i2.pp781-786.

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Landslide is one of the disasters which cause property damages, infrastructure destruction, injury and death. This paper presents the analysis of landslide hazard mapping of Penang Island Malaysia using bivariate statistical methods. Bivariate statistical methods are simple approach which are capable to produce good results in short computational time. In this study, three bivariate statistical methods, i.e. Frequency Ratio (FR), Information Value (IV) and Modified Information Value (MIV) are used to generate the landslide hazard maps of Penang Island. These bivariate statistical methods are c

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Huang, Jianling, Xiaoye Zeng, Lu Ding, Yang Yin, and Yange Li. "Landslide Susceptibility Evaluation Using Different Slope Units Based on BP Neural Network." Computational Intelligence and Neuroscience 2022 (May 23, 2022): 1–15. http://dx.doi.org/10.1155/2022/9923775.

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Landslides are one of the most widespread natural hazards that cause damage to both property and life every year. Therefore, the landslide susceptibility evaluation is necessary for land hazard assessment and mitigation of landslide-related losses. Selecting an appropriate mapping unit is an essential step for landslide susceptibility evaluation. This study tested the back propagation (BP) neural network technique to develop a landslide susceptibility map in Qingchuan County, Sichuan Province, China. It compared the results of applying six different slope unit scales for landslide susceptibili

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Luzon, Paul Kenneth, Kristina Montalbo, Jam Galang, et al. "Hazard mapping related to structurally controlled landslides in Southern Leyte, Philippines." Natural Hazards and Earth System Sciences 16, no. 3 (2016): 875–83. http://dx.doi.org/10.5194/nhess-16-875-2016.

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Abstract. The 2006 Guinsaugon landslide in Saint Bernard, Southern Leyte, is one of the largest known landslides in the Philippines in recent history. It consists of a 15–20 million m3 rockslide-debris avalanche from an approximately 675 m high mountain weakened by continuous movement of the Philippine Fault. The catastrophic Guinsaugon landslide killed 1221 people and displaced 19 000 residents over its 4.5 km path. To investigate the present-day morphology of the scar and potential failure that may occur, analysis of a 5 m resolution InSAR-derived digital elevation model was conducted using

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