Assessment of shallow landslide susceptibility using an artificial
neural network in Enshi region, China

Zeng, Bin; Xiang, Wei; Rohn, Joachim; Ehret, Dominik; Chen, Xiaoxi

doi:10.5194/nhess-2017-176

Cited by 7 publications

(5 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the research, the frequency vibrations caused by cars on highways in turn cause landslides [104]. Many researchers have reported that roads along slope imbalance in study areas are the most influential anthropogenic factor [31,40,57,63,74,75,92,[105][106][107][108][109][110]…”

Section: Relationship With Anthropologymentioning

confidence: 99%

See 1 more Smart Citation

Linear Parameters Causing Landslides: A Case Study of Distance to the Road, Fault, Drainage

ÇELLEK

2023

Kocaeli Journal of Science and Engineering

View full text Add to dashboard Cite

It that choosing the right parameters for the study area is a compeller process. Parameters provides different results in different areas, and some of these parameters can be evaluated generally, while others reflect the characteristics properties of the areas. A comprehensive literature study was conducted first for this purpose. An examination of more than 1,000 landslides sought to study the effects of the distance to road, fault and drainage parameters. The examined evaluation studied the classification ranges for landslides and the effect of the 3 parameters by themself and with other parameters. 64 landslide areas were selected for sampling used in the study from Turkey. Literature research and case studies were compared and the effect of the distance from the road, fault and drainage on landslide was investigated. Landslide-prone areas were determined according to the classification ranges for the parameter. The classification ranges were selected to suit the literature. By preparing distribution graphs at % of the areas, the values between which landslides occur were determined. As a result, the study checked the parameter for consistency with the literature and sought to determine the distance of the linear parameters to the landslide area.

show abstract

Section: Relationship With Anthropologymentioning

confidence: 99%

“…In this manner, the slope change causes landslides [2,40,69]. Zeng et al [110] reported that landslides in the Enshi region occurred at slopes whose slope changed during road construction.…”

Section: Relationship With Load Changementioning

confidence: 99%

Linear Parameters Causing Landslides: A Case Study of Distance to the Road, Fault, Drainage

ÇELLEK

2023

Kocaeli Journal of Science and Engineering

View full text Add to dashboard Cite

show abstract

“…The study of neural networks began in the 40s of last century, mainly focused on the physiology and psychology of brain function, and the electrophysiological aspects of neurons [10]. American psychologist Mika Rocco and mathematician Peters jointly established the mathematical model of formal neurons in 1943, which laid the foundation of neuroscience theory research [11]. In the following 20 years, many scientists have studied this theory from different angles, such as neuronal link strength, artificial intelligence, neural networks and so on, and obtained many important research results [12].…”

Section: A the Principle Of Artificial Neural Networkmentioning

confidence: 99%

An Automatic Monitoring Method of Slope Deformation in Open-pit mine based on BP Neural Network and GIS Technology

2020

International Journal of Circuits, Systems and Signal Processing

View full text Add to dashboard Cite

At present, the research on BP neural network has achieved good results in many industries and fields, but there are few projects in the application research of mineral resources mining. Under the social background of the rapid development of electronic information technology, BP neural network and GIS technology are combined to carry out research and application, which will provide a new research path for slope deformation monitoring and disaster prevention in mining area. Therefore, in the paper, the key technology of open-pit mine slope deformation automatic monitoring based on BP neural network and GIS technology was put forward. Firstly, the advantages of BP neural network were analyzed and BP neural network was selected as the prediction model of slope deformation. The artificial fish swarm algorithm was used to improve the BP neural network to improve the performance of the model. Based on the analysis and construction of GIS technology, the combination application of BP neural network and GIS technology was discussed. Through practice, the application effect of the technology was verified, and it has good theoretical and practical value

show abstract

“…Therefore, research on landslide prevention and mitigation mainly focuses on the distribution forecasting of unstable slopes that are prone to landslides in specific regions and under multiple external forces (Zeng et al, 2017). The prediction of the spatial distribution of unstable slopes, termed landslide susceptibility zonation, is important in assistance with government land-use planning and in reducing unnecessary loss of life and property.…”

Section: ключові слова: ґрунтові води прогноз рівень гідродинамічнmentioning

confidence: 99%

The prediction of ground water recharge of landslide areas in Dnipropetrovsk region

Yevgrashkina¹,

Mokrytskaya²,

Kharytonov³

2019

Journ. Geol., Geogr., and Geoec..

View full text Add to dashboard Cite

The forecast of groundwater level together with the observation network of wells are important and mandatory components of hydrogeological monitoring. The reliability of predictive calculations is achieved by reasonable definition of boundary conditions (inverse hydrogeological problem), correct calculation of hydrogeological parameters (inverse problem), and reasoned choice of methods (inductive problem). The classical forecast of the level regime of groundwater is a direct hydrogeological problem.The calculated dependences are proposed for four variants of hydrogeological conditions in relation to landslide-prone areas. The first and second variants are watered ravine with boundary conditions of the first and second kind. The third option is a special case of boundary conditions of second kind “impermeable boundary”. The fourth option considers the periodic watercourse formation in the water intervals of the time climate series. A comparative analysis of four hydrodynamic schemes “infiltration band” in unlimited and semi-bounded layers and half-plane is performed under the same conditions to estimate the error of schematization. Significant differences in the calculation results confirm the need for a clear choice of the design scheme. A method of accounting for evaporation from the groundwater surface lying above the critical depth was proposed. This scientific approach allows accurate and detailed characterization of the average monthly groundwater regime in the course of a year. Multivariate calculations allow us to assert that the main mode – forming factor at the depth of groundwater below the critical depth is infiltration replenishment. Evaporation is a negative component of the water balance. Its value depends on the depth of groundwater, lithological composition of the host rocks, vegetation cover and complex climatic factors. Accounting for the evaporation of ground water in the forward estimates is required if they lie above the critical depth. The critical depth for the territory of Dnipropetrovsk region is assumed to be 2.0 m. At this depth of groundwater level from the earth’s surface, the evaporation rate is zero. The maximum evaporation or evaporability corresponds to the position of groundwater at the surface of the earth. The maximum evaporation is 800 – 820 mm for Dnipropetrovsk region.The evaporation value increases inversely with the depth of its occurrence from the surface of the earth when the rise of the groundwater level occurs above the critical depth. The process of changes in the groundwater level in the unsteady filtration regime is described by two-dimensional differential equations of the second order in partial derivatives of parabolic type. This equation has analytical partial solutions for all considered variants of boundary conditions with regard to the problems of meliorative hydrogeology. It is possible to transform correctly to hydrogeological conditions of landslide slopes using numerical forecast.Infiltration nutrition indices were calculated by comparing the monitoring data with the values of evaporation through the soil surface.

show abstract

Assessment of shallow landslide susceptibility using an artificial neural network in Enshi region, China

Cited by 7 publications

References 4 publications

Linear Parameters Causing Landslides: A Case Study of Distance to the Road, Fault, Drainage

Linear Parameters Causing Landslides: A Case Study of Distance to the Road, Fault, Drainage

An Automatic Monitoring Method of Slope Deformation in Open-pit mine based on BP Neural Network and GIS Technology

The prediction of ground water recharge of landslide areas in Dnipropetrovsk region

Contact Info

Product

Resources

About