## 2 Materials and Methods
### Weighting of Evaluation Indicators  
The weight values of nine indicators, including slope, engineering geological rock group, slope structure type, distance to road, topographic relief, distance to fault, distance to the water system, vegetation cover and profile curvature, are derived according to the above hierarchical analysis method and are detailed in Table 9. \begin{table}
\begin{tabular}{c c c c c c} \hline
**Evaluation** & **Serial** & **Factor** & **Disaster** & **Sub-Area** & **Amount of** \\
**Factors** & **Number** & **Grading** & **Area/km\({}^{2}\)** & **AREA/km\({}^{2}\)** & **Information** \\ \hline \multirow{4}{*}{Engineering Geology Rock Group} & 1 & Hard & 0.71 & 3210.85 & \(-\)1.05 \\  & 2 & Semi-hard & 3.16 & 4269.64 & 0.16 \\  & 3 & Soft rock & 1.04 & 197.27 & 2.13 \\  & 4 & Earth body & 0.34 & 197.30 & 1.02 \\  & 5 & Rock & 0.01 & 472.99 & \(-\)3.87 \\ \hline \multirow{4}{*}{Distance from the fault} & 1 & 200 m & 0.43 & 321.82 & 0.75 \\  & 2 & 500 m & 0.81 & 436.48 & 1.07 \\  & 3 & 1000 m & 0.60 & 617.94 & 0.44 \\  & 4 & 2000 m & 1.08 & 984.20 & 0.55 \\  & 5 & \textgreater{}2000 m & 2.35 & 5987.61 & \(-\)0.48 \\ \hline \multirow{4}{*}{Type of slope structure} & 1 & Downward slope & 0.87 & 1299.63 & 0.05 \\  & 2 & Down-oblique slopes & 0.98 & 1291.19 & 0.19 \\  & 3 & Lateral slopes & 1.59 & 2538.58 & \(-\)0.01 \\  & 4 & Back-oblique slope & 0.70 & 1288.95 & \(-\)0.15 \\  & 5 & Reverse slope & 0.78 & 1264.44 & \(-\)0.03 \\  & 6 & Block slopes & 0.01 & 472.55 & \(-\)3.87 \\  & 7 & Soil slopes & 0.35 & 191.48 & 1.06 \\ \hline \multirow{4}{*}{Vegetation cover} & 1 & 0–0.1 & 0.03 & 457.91 & \(-\)2.35 \\  & 2 & 0.1–0.3 & 0.14 & 258.76 & \(-\)0.15 \\  & 3 & 0.3–0.5 & 0.43 & 329.27 & 0.73 \\  & 4 & 0.5–0.7 & 0.73 & 971.89 & 0.17 \\  & 5 & 0.7–1 & 3.94 & 6330.22 & \(-\)0.01 \\ \hline \multirow{4}{*}{Distance from the water system} & 1 & 20 m & 0.11 & 202.75 & \(-\)0.13 \\  & 2 & 50 m & 0.27 & 299.26 & 0.34 \\  & 3 & 100 m & 0.59 & 488.38 & 0.65 \\  & 4 & 200 m & 1.27 & 944.56 & 0.75 \\  & 5 & \textgreater{}200 m & 3.03 & 6413.09 & \(-\)0.29 \\ \hline \multirow{4}{*}{Distance from the road} & 1 & 20 m & 0.25 & 28.97 & 2.62 \\  & 2 & 50 m & 0.38 & 42.09 & 2.67 \\  & 3 & 100 m & 0.68 & 67.57 & 2.76 \\  & 4 & 200 m & 1.35 & 128.34 & 2.82 \\  & 5 & \textgreater{}200 m & 2.61 & 8081.08 & \(-\)0.67 \\ \hline \multirow{4}{*}{Profile Curvature} & 1 & 14.53 & 1.65 & 2879.984375 & \(-\)0.10 \\  & 2 & 29.06 & 1.81 & 2748.66 & 0.04 \\  & 3 & 43.59 & 1.09 & 1663.913125 & 0.04 \\  & 4 & 58.12 & 0.52 & 777.43875 & 0.06 \\  & 5 & 72.65 & 0.20 & 278.103125 & 0.11 \\ \hline \multirow{4}{*}{Terrain ups and downs degree} & 1 & 48 & 0.04 & 421.76125 & \(-\)1.78 \\  & 2 & 104 & 1.39 & 3102.8325 & \(-\)0.33 \\ \cline{1-1}  & 3 & 180 & 3.29 & 4082.47625 & 0.25 \\ \cline{1-1}  & 4 & 312 & 0.52 & 728.066875 & 0.14 \\ \cline{1-1}  & 5 & \textgreater{}312 & 0.03 & 12.915 & \\ \hline \end{tabular}
\end{table} 
Table 8: _Cont._  
At the end of the model evaluation results, the results were validated. The working characteristic curve (ROC) is a measure of the prediction accuracy of the evaluation model, using the percentage of cumulative grids in the area with the highest to lowest information value to the total grids as the horizontal axis, and the percentage of cumulative points of geohazards in the corresponding information interval to the total number of geohazards as the vertical axis, and when the area under the ROC curve is closer to 1, it means that the more consistent with the real situation.