## 5 Zonation Prediction of the Water-Bearing Properties of the Weathered Bedrock in the Study Area  
### Results of the Zonation Prediction of Water-Bearing Properties  
The Bayes discriminant method is based on the maximum a posteriori (MAP) rule and the minimum probability of misclassification as the discrimination criteria. It determines the water-bearing type by calculating the Bayes discriminant function for each water-bearing type. According to the rule of the MAP of the Bayes discriminant function, the main control factors are substituted into the four discriminant equations, and the type corresponding to the maximum function value is identified as the water-bearing type of the borehole.  
Therefore, the predictive indicators for the non-hydrological boreholes in the study area were, respectively, substituted into the discriminant functions of \(Y_{1}\), \(Y_{2}\), \(Y_{3}\), and \(Y_{4}\), where \(Y_{\max}\) represents the water-bearing property type of the corresponding borehole (Table 7). By interpolating with the existing pumping test boreholes, the zonation prediction map of the water-bearing properties of the weathered bedrock on the southern flank of the Ningtiaota Coal Mine was obtained (Figure 5).  
\begin{table}
\begin{tabular}{c c c c} \hline
**Boreholes** & \begin{tabular}{c} **Actual** \\ **Water-Bearing** \\ **Properties** \\ \end{tabular} & \
\begin{tabular}{c} **Naive Bayes** \\ **Discriminant** \\ \end{tabular} &
\begin{tabular}{c} **KDE–Bayes** \\ **Discriminant** \\ \end{tabular} \\ \hline \multirow{7}{*}{Prediction group} & K1-2 & 3 & 3 & 3 \\  & K1-1 & 3 & 3 & 3 \\  & SB37 & 3 & 3 & 3 \\  & ZK4 & 2 & 4 & 2 \\  & ZK3 & 2 & 2 & 2 \\  & SB-4 & 2 & 4 & 2 \\  & SB-5 & 2 & 4 & 2 \\  & BK37 & 2 & 2 & 2 \\  & K2-2 & 2 & 2 & 2 \\  & SB26 & 1 & 1 & 1 \\  & SB-3 & 1 & 1 & 1 \\  & K0 & 1 & 1 & 1 \\  & BK34 & 1 & 1 & 1 \\  & True positive rate (\%) & & 82.6 & 100 \\ \hline \multirow{7}{*}{Validation group} & K7 & 3 & 3 & 3 \\  & SB21 & 2 & 2 & 2 \\  & BK31 & 1 & 1 & 1 \\  & SB-1 & 2 & 2 & 2 \\  & BK42 & 3 & 2 & 3 \\  & J07 & 3 & 3 & 3 \\  & J16 & 3 & 4 & 3 \\  & True positive rate (\%) & & 71.4 & 100 \\ \hline \end{tabular}
\end{table}
Table 6: _Cont._  
parts. The very weak water-bearing zones are found in the northeastern corner of the study area. Overall, the water-bearing properties in the study area exhibit significant variation, indicating an uneven spatial distribution of the water-bearing capacity of the weathered bedrock aquifer.  
By interpolating the unit water inflow of the hydrological boreholes, the water-bearing zonation map of the weathered bedrock was drawn (Figure 6). Comparing the water-bearing zonation prediction map with the actual zonation map, it can be seen that in the western region, where the proportion of hydrological boreholes is relatively high, the predicted and zoning results are largely consistent. In the eastern region, where the proportion of hydrological boreholes is lower, after incorporating the water-bearing predictions for non-hydrological boreholes, areas with high, moderate, low, and very low water-bearing properties show varying degrees of change. The prediction results obtained using the KDE-Bayes discriminant method are more refined and better reflect the spatial distribution patterns of the water-bearing properties in the study area.