An Improved KNN-Based Slope Stability Prediction Model

Table 6

Slope stability prediction along the Sichuan-Tibet railway.

No.	Slope angle (°)	Slope height (m)	Cohesion (MPa)	Internal friction angle (°)	Unit weight (kN/m^3)	Groundwater level (m)	Earthquake intensity	Rainfall intensity (mm)	Our proposed prediction model	Finite element results
1	50	32	0.010	15	28.5	80	6	60	I	I
2	50	31	0.050	20	18.0	20	4	52	III	III
3	49	31	0.145	32	17.3	20	4	31	IV	IV
4	49	31	0.092	20	17.7	50	4	51	III	III
5	49	30	0.065	21	15.0	80	4	32	II	II
6	49	30	0.158	35	21.3	80	4	69	IV	IV
7	48	30	0.068	31	21.3	50	4	52	III	III
8	48	29	0.063	32	22.0	50	6	58	III (×)	I
9	48	29	0.042	25	18.8	20	5	38	II	II
10	48	29	0.011	15	25.0	80	4	50	V	V
11	47	28	0.057	28	21.0	20	5	42	II	II
12	47	27	0.055	26	20.0	80	4	33	II	II
13	47	27	0.152	25	22.4	80	4	29	IV	IV
14	48	28	0.063	22	21.0	50	5	45	II	II
15	47	26	0.200	25	18.4	20	4	49	III	III
16	47	26	0.122	20	18.8	20	4	55	III	III