Effect of the Slope Angle and Its Classification on Landslide

Çellek, Seda

doi:10.5194/nhess-2020-87

Cited by 23 publications

(8 citation statements)

References 58 publications

(98 reference statements)

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“…These factors are related to topography (T_E, T_F_acc, T_FLAT, T_NW, T_TPI, T_S, T_TWI, T_VRM, T_W), seismicity (S_Epic), geolithology (G_TA, G_SSC, G_CM, G_C, G_DDB, G_LG, G_SC, G_SSM, G_CCL, G_ML), land cover (LU_urb, LU_grs, LU_for, LU_nat), morphology (D_riv, D_road), and climate (C_p_max). It is well known [48][49][50][51] that the slope length and steepness factor (T_Ls) is one of the main landslide predictors, being a parameter used to characterize the effects of topography and hydrology on soil loss [52,53]. In our study, the T_Ls showed the highest coefficient in predicting the totality of recorded events and one of the most predicting variables for the other landslide types, evidencing its influence in the evolution of landslide types.…”

Section: Correlation Analysissupporting

confidence: 54%

Assessing Landslide Susceptibility by Coupling Spatial Data Analysis and Logistic Model

et al. 2022

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Landslides represent one of the most critical issues for landscape managers. They can cause injuries and loss of human life and damage properties and infrastructure. The spatial and temporal distribution of these detrimental events makes them almost unpredictable. Studies on landslide susceptibility assessment can significantly contribute to prioritizing critical risk zones. Further, landslide prevention and mitigation and the relative importance of the affecting drivers acquire even more significance in areas characterized by seismicity. This study aimed to investigate the relationship between a set of environmental variables and the occurrence of landslide events in an area of the Apulia Region (Italy). Logistic regression was applied to a landslide-prone area in the Apulia Region (Italy) to identify the main causative factors using a large dataset of environmental predictors (47). The results of this case study show that the logistic regression achieved a good performance, with an AUC (Area Under Curve) >70%. Therefore, the model developed would be a useful tool to define and assess areas for landslide occurrence and contribute to implementing risk mitigation strategy and land use policy.

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Section: Correlation Analysissupporting

confidence: 54%

Assessing Landslide Susceptibility by Coupling Spatial Data Analysis and Logistic Model

et al. 2022

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“…The slope reaches a weight of 0.410 (score 41%), the highest compared to the other parameters. [12] explain that slope is one of the factors causing landslides in hilly/mountainous areas. A landslide will occur if the gravitational component is so large that the resistance to soil friction in the sliding plane is exceeded [13].…”

Section: Discussionmentioning

confidence: 99%

Landslide-prone areas in Makale Selatan with the analytical hierarchy process method

Sarma,

Ahmad,

Laban

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Landslides are one of the most common natural disasters in Indonesia. The Tana Toraja area has not been spared landslides, especially in the Makale Selatan district. Makale Selatan is one of the supply areas for agricultural products in South Sulawesi. Therefore it is necessary to map landslide-prone areas to support landslide disaster mitigation. This study aims to map landslide-prone regions and determine the factors most influencing landslide events in Makale Selatan. This study uses an Analytical Hierarchy Process (AHP) method with a weighting factor. The parameters, namely; slope, rainfall, land use, soil texture, soil type, and rock formations. The results showed that the incidence of landslides in Makale Selatan was strongly influenced by the slope, with the highest weighting factor with a weight of 0.410 (Score of 41%). Rainfall and land use with the same weight of 0.170 (Score of 17%), then the parameters of soil type and soil texture also with the exact weight is 0.096 (score of 9.6%), and the rock formation parameters with a weight of 0.058 (score 5.8%). The level of landslide-prone areas in the study area namely; 12.46% for the not prone area, 51.72% for slightly prone, prone areas 25.72%, and very prone was 10.11% for the total study area. The not-prone village is Tiromanda, and the most prone village is Lembang Randan Batu. The slope parameter is the parameter that most influences landslides in Makale Selatan. Land use for agriculture must be mechanically conserved to reduce the slope angle and prevent landslides.

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“…Its range is 0 to 90 o , with 0 denoting a horizontal area and 90 denoting a vertical area. The slope is significant regarding the formation, development, and landslide susceptibility (Cellek, 2020). Furthermore, the slope and elevation are connected.…”

Section: Methodsmentioning

confidence: 99%

The characteristic of impacted soil by the Merapi Eruption in Plawangan Hill of Taman Nasional Gunung Merapi, Yogyakarta, Indonesia

Khan,

Wilopo,

Sadono

et al. 2024

J. Degrade. Min. Land Manage.

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Mount Merapi National Park (TNGM) is one of the active volcanos in Indonesia. It has past volcano eruption history since 1911 up to date. Specifically, Plawangan Hill is a part of the TNGM recently designated as Geo-heritage and has experienced volcano eruption indirectly and directly. Additionally, since the Indonesian government designates Plawangan Hill as a Geological Heritage (Geo-Heritage) location, it is crucial to determine its geological features and how they relate to the development of the vegetation there as the studyâ€™s objectives. A field survey and a soil laboratory examination were conducted to obtain the data. As a result, Plawangan Hillâ€™s DEM was classified from very low to very high classes, while the DSM was categorized from flat to very steep slopes. Further, the results demonstrated that the pH of theÂ soil was typically somewhat acidic (5.93â€“6.54). While the soilâ€™s nitrogen content was found to be low to medium, both phosphorusÂ and potassium levels were typically very low. The carbon-nitrogen ratio wasÂ generally categorized into the medium, while the organic C ranged from low to medium (1.44% to 3.22%). The soilâ€™s N total, K total, organic matter, carbon content, and C-N ratio increased by the erupted material age. Additionally, it was discovered that the vegetation growth was excellent in indirect (IA) and directly affected (DA) conditions, as indicated by their diameter at breast height (Dbh) and height (H). The correlationÂ between soil characteristics andÂ vegetationÂ growth differed in indirectly affected (IA) and directly affected (DA) areas. As a result, the study found that volcanic materials significantly contributed toÂ Plawangan Hillâ€™s soil characteristics and vegetation growth. Furthermore, this studyâ€™s findings were highly beneficial because they were one of the primary explanations for why Plawangan Hill was designated a Geo-heritage site.

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Effect of the Slope Angle and Its Classification on Landslide

Cited by 23 publications

References 58 publications

Assessing Landslide Susceptibility by Coupling Spatial Data Analysis and Logistic Model

Assessing Landslide Susceptibility by Coupling Spatial Data Analysis and Logistic Model

Landslide-prone areas in Makale Selatan with the analytical hierarchy process method

The characteristic of impacted soil by the Merapi Eruption in Plawangan Hill of Taman Nasional Gunung Merapi, Yogyakarta, Indonesia

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