SLIDE (SLope-Infiltration-Distributed Equilibrium)

The SLope-Infiltration-Distributed Equilibrium (SLIDE) is a geotechnical model to compute dynamic factor of safety (FS) due to rainfall infiltration.

InfiltrationrainfallSlope

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Contributor(s)

Initial contribute: 2020-01-02

Authorship

:  
Hydrometeorology and Remote Sensing Laboratory
:  
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Classification(s)

Application-focused categoriesNatural-perspectiveLand regions

Detailed Description

English {{currentDetailLanguage}} English

Quoted from: http://hydro.ou.edu/research/slide/ 

The SLope-Infiltration-Distributed Equilibrium (SLIDE) is a geotechnical model to compute dynamic factor of safety (FS) due to rainfall infiltration using a method developed by Liao et al. 2010. The released SLIDE model is programmed using MATLAB. The SLIDE model takes into account some simplified hypotheses on water infiltration and defines a direct relation between factor of safety and the rainfall depth on an infinite slope. The SLIDE program operates on a grid with four inputs, including the soil texture map, the slope map, the cumulative rainfall map, and the land cover map.

Executable File Download and User Manual

Version Windows Mac Linux Documents Example Contact
SLIDE 1.1 Download Download Download User Manual Windows NonWindows Dr. Zhang

References

  1. Liao, Z., Y. Hong, J. Wang, H. Fukuoka, K. Sassa, D. Karnawati and F. Fathani, 2010: Prototyping an experimental early warning system for rainfall-induced landslides in Indonesia using satellite remote sensing and geospatial datasets. Landslides, 7 (3), 317-324. doi: 10.1007/s10346-010-0219-7PDF.
  2. Yang Hong, Xiaogang He, Amy Cerato, Ke Zhang, Zhen Hong, Zonghu Liao (2014), Predictability of a Physically-based Model for Rainfall-induced Shallow Landslides: Model Development and Case Studies Springer Verlag book “Technologies for Landslide Investigations”.

模型元数据

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SLIDE team (2020). SLIDE (SLope-Infiltration-Distributed Equilibrium), Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/33c0f6ae-a5d4-422a-aa0b-9d209e98d7a0
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Contributor(s)

Initial contribute : 2020-01-02

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Authorship

:  
Hydrometeorology and Remote Sensing Laboratory
:  
View
Is authorship not correct? Feed back

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