Susceptibility assessment of soil erosion in overlaying diluvial fan of shallow underground pipelines

Zhang, Yingbin; Li, Qingfeng; Xiang, Chenlin; Xiao, Xiangming; Liu, Jing

doi:10.1007/s10064-020-02059-4

Cited by 3 publications

(1 citation statement)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The extensive application of remote sensing (RS), global positioning system (GPS), and geographic information system (GIS) technology has promoted the development of soil erosion research. By using "3S" technology, researchers could efficiently and accurately establish a regional soil erosion information system and realize dynamic monitoring of soil erosion [25]. In addition, the development of UAV technology in recent years has provided a simple tool for acquiring high spatial resolution data at the centimeter level.…”

Section: Related Workmentioning

confidence: 99%

Applying Convolutional Neural Network to Predict Soil Erosion: A Case Study of Coastal Areas

Liu

et al. 2023

IJERPH

View full text Add to dashboard Cite

The development of ecological restoration projects is unsatisfactory, and soil erosion is still a problem in ecologically restored areas. Traditional soil erosion studies are mostly based on satellite remote sensing data and traditional soil erosion models, which cannot accurately characterize the soil erosion conditions in ecological restoration areas (mainly plantation forests). This paper uses high-resolution unmanned aerial vehicle (UAV) images as the base data, which could improve the accuracy of the study. Considering that traditional soil erosion models cannot accurately express the complex relationships between erosion factors, this paper applies convolutional neural network (CNN) models to identify the soil erosion intensity in ecological restoration areas, which can solve the problem of nonlinear mapping of soil erosion. In this study area, compared with the traditional method, the accuracy of soil erosion identification by applying the CNN model improved by 25.57%, which is better than baseline methods. In addition, based on research results, this paper analyses the relationship between land use type, vegetation cover, and slope and soil erosion. This study makes five recommendations for the prevention and control of soil erosion in the ecological restoration area, which provides a scientific basis and decision reference for subsequent ecological restoration decisions.

show abstract

Section: Related Workmentioning

confidence: 99%

Applying Convolutional Neural Network to Predict Soil Erosion: A Case Study of Coastal Areas

Liu

et al. 2023

IJERPH

View full text Add to dashboard Cite

show abstract

Extension of 3-D coupled DDA-SPH method for dynamic analysis of soil-structure interaction problems

Peng²,

Hu³

et al. 2022

Applied Mathematical Modelling

View full text Add to dashboard Cite

GIS-AHP Approach in Forest Logging Planning to Apply Sustainable Forest Operations

Latterini

Stefanoni

Venanzi

et al. 2022

Forests

View full text Add to dashboard Cite

This study represents the first attempt of integration, within a Forest Management Plan (FMP), of a Geographic Information System (GIS) and an Analytic Hierarchy Process (AHP) approach for the selection of the most suitable logging method. It is important to underline that the developed methodology is applicable worldwide in each environmental context in which there is a need for planning the intervention and selecting from among several possible logging methods or harvesting systems. Schematically, the main aims of this study were: (i) to develop a GIS-AHP method based on open-access GIS software; (ii) to compare the results of the simulations developed from the statements of two different groups of experts from around the world, to determine the reliability of the predictive probability of the method. The selection of the extraction methods performed with RTS (experts from research and technical sector) input data showed that the most suitable option in the major part of the study area was the cable skidder, followed by the cable yarder, and finally the forwarder. The extraction system selection performed with OS (people from the operative sector) input data revealed limited differences. Thus, considering what was reported above, it is possible to assert that the applied GIS-AHP methodology showed good performance and high consistency in the selection of the best alternatives among different extraction methods. The idea of comparing the results obtained from a survey based on a pool of researchers and forest engineers (RTS) was taken as a target simulation to be evaluated. The method based on data derived from a pool of expert forest operators (OS) was used to check for the results of the other simulation. This is an innovation in these kinds of studies. The results from the consistency check were encouraging, considering that for 51 sub-compartments, only two changed the selected extraction system between RTS and OS.

show abstract

Susceptibility assessment of soil erosion in overlaying diluvial fan of shallow underground pipelines

Cited by 3 publications

References 39 publications

Applying Convolutional Neural Network to Predict Soil Erosion: A Case Study of Coastal Areas

Applying Convolutional Neural Network to Predict Soil Erosion: A Case Study of Coastal Areas

Extension of 3-D coupled DDA-SPH method for dynamic analysis of soil-structure interaction problems

GIS-AHP Approach in Forest Logging Planning to Apply Sustainable Forest Operations

Contact Info

Product

Resources

About