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Algorithm Optimisation and Landslide Risk Assessment for Critical Soil Thickness Calculation on Slopes Based on 3D Numerical Simulation (FLAC-3D) and Geographic Information System (GIS).

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Title: Algorithm Optimisation and Landslide Risk Assessment for Critical Soil Thickness Calculation on Slopes Based on 3D Numerical Simulation (FLAC-3D) and Geographic Information System (GIS).
Authors: Wang, Lida1, He, Yuqiong1, Wang, Yongqi1 wanglida@stu.kust.edu.cn, Zhao, Yunxi1
Source: Journal of Combinatorial Mathematics & Combinatorial Computing. Dec2025, Vol. 127a, p743-763. 21p.
Database: Mathematics Source
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Header DbId: msf
DbLabel: Mathematics Source
An: 188826818
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PubType: Periodical
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  Data: Algorithm Optimisation and Landslide Risk Assessment for Critical Soil Thickness Calculation on Slopes Based on 3D Numerical Simulation (FLAC-3D) and Geographic Information System (GIS).
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Lida%22">Wang, Lida</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22He%2C+Yuqiong%22">He, Yuqiong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wang%2C+Yongqi%22">Wang, Yongqi</searchLink><relatesTo>1</relatesTo><i> wanglida@stu.kust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhao%2C+Yunxi%22">Zhao, Yunxi</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Combinatorial+Mathematics+%26+Combinatorial+Computing%22">Journal of Combinatorial Mathematics & Combinatorial Computing</searchLink>. Dec2025, Vol. 127a, p743-763. 21p.
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        Value: 10.61091/jcmcc127a-043
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 743
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      – TitleFull: Algorithm Optimisation and Landslide Risk Assessment for Critical Soil Thickness Calculation on Slopes Based on 3D Numerical Simulation (FLAC-3D) and Geographic Information System (GIS).
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            NameFull: Wang, Lida
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            NameFull: He, Yuqiong
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            NameFull: Wang, Yongqi
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              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 127a
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