## 5 Results and Discussion
### Evaluation of Landslide Susceptibility  
The ArcGIS grid reclassification function is used to input the weighted information of each secondary evaluation factor based on the grading map and weighted information of each evaluation factor. The grid calculator is then used to superpose each evaluation factor to obtain the Tekes County landslide geological hazard susceptibility evaluation index map. Tekes County's landslide geological hazard susceptibility evaluation index map is divided into high-susceptibility, medium-susceptibility, moderate-risk, and low-risk zones using the natural breakpoint grading method (Figure 13). \begin{table}
\begin{tabular}{c c c c c c c} \hline
**Primary Impact** & **Secondary** & **Disaster Spot** & **Area (km2)** & **Disaster Spot** & **Weight** & **Weighted** \\
**Factor** & **Impact Factor** & **(Location)** & **Area (km2)** & **Density (km2)** & **Weight** & **Information Quantity** \\ \hline \multirow{8}{*}{Land-use type} & River and & \multirow{2}{*}{2} & River and & \multirow{2}{*}{37.7741} & \multirow{2}{*}{0.0529} & \multirow{2}{*}{0.13632} \\  & canals & & & & & \\ \cline{1-1} \cline{3-5}  & Lakes & 0 & 4.3225 & 0.0000 & & 0.00000 \\ \cline{1-1} \cline{3-5}  & Glacier snow & \multirow{2}{*}{0} & \multirow{2}{*}{525.3338} & \multirow{2}{*}{0.0000} & \multirow{2}{*}{0.1637} & \multirow{2}{*}{0.00000} \\  & cover & & & & & \\ \cline{1-1} \cline{3-5}  & Shoal & 0 & 0.3092 & 0.0000 & & 0.00000 \\ \cline{1-1} \cline{3-5}  & Urban land & 0 & 6.6989 & 0.0000 & & 0.00000 \\ \cline{1-1} \cline{3-5}  & Rural & \multirow{2}{*}{0} & \multirow{2}{*}{34.0231} & \multirow{2}{*}{0.0000} & \multirow{2}{*}{0.00000} \\  & residential land & & & & & \\ \cline{1-1} \cline{3-5}  & \
\begin{tabular}{} \end{tabular} & \multirow{2}{*}{2} & \multirow{2}{*}{47.4873} & \multirow{2}{*}{0.0421} & \multirow{2}{*}{0.00000} \\ \cline{1-1} \cline{3-5}  &
\begin{tabular}{} \end{tabular} & \multirow{2}{*}{1} & \multirow{2}{*}{1289.8416} & \multirow{2}{*}{0.0008} & \multirow{2}{*}{\(-0.55512\)} \\ \hline \multirow{8}{*}{Distance from river} & \multirow{2}{*}{400–800} & \multirow{2}{*}{31} & \multirow{2}{*}{459.9100} & \multirow{2}{*}{0.0674} & \multirow{2}{*}{0.09581} \\ \cline{1-1} \cline{3-5}  & & 800–1200 & 15 & & & 0.03573 \\ \cline{1-1} \cline{3-5}  & 1200–1600 & 13 & 420.1498 & 0.0309 & & 0.02636 \\ \cline{1-1} \cline{3-5}  & 1600–2000 & 7 & 400.2408 & 0.0175 & & \(-0.02453\) \\ \cline{1-1} \cline{3-5}  & 2000–2500 & 8 & 465.9930 & 0.0172 & & \(-0.02618\) \\ \cline{1-1} \cline{3-5}  & \(>\)2500 & 42 & 5973.5180 & 0.0070 & & \(-0.10581\) \\ \hline \multirow{8}{*}{Annual average rainfall} & \multirow{2}{*}{0–350} & \multirow{2}{*}{4} & \multirow{2}{*}{10} & \multirow{2}{*}{453.2650} & \multirow{2}{*}{0.0353} & \multirow{2}{*}{0.04769} \\ \cline{1-1} \cline{3-5}  & & & & & & \\ \cline{1-1} \cline{3-5}  & & 350–400 & 16 & 453.2650 & & 0.0353 \\ \cline{1-1} \cline{3-5}  & 400–450 & 10 & 581.2325 & 0.0172 & & \(-0.03252\) \\ \cline{1-1} \cline{3-5}  & 450–500 & 61 & 1320.6922 & 0.0462 & & 0.07769 \\ \cline{1-1} \cline{3-5}  & 500–650 & 86 & 1382.7242 & 0.0622 & & 0.11090 \\ \cline{1-1} \cline{3-5}  & \(>\)650 & 22 & 4803.7091 & 0.0046 & & \(-0.18022\) \\ \hline \end{tabular} Note: The engineering geological rock group consists of the following: A is an interbedded hard to weak elastic rock group that is primarily made up of sandstone and mudstone; B is a hard intrusive rock formation; C is a relatively hard–medium thick-layered carbonate rock formation; D is a multiple-layer system of sand, gravel, and silt; E is a layered weak elastic rock formation that is dominated by mudstone; F is a single-layer soil that contains pebbles and gravel; G is a block, hard- to weak-layered elastic rock formation that is dominated by sandstone.  
\end{table} 
Table 1: _Cont._  
evaluating the degree of fit of the model to the sample, has good experimental accuracy, and is an effective method of verifying the prediction model, and thus is widely used in the accuracy verification of geohazard risk and hazard assessment.