## 4 Results
### Association Rules Mining  
The FP-Growth algorithm was employed to conduct association rule mining on the database constructed in the previous section. The antecedent items for the association rules include the monthly average reservoir water level (\(\overline{R}\)/month), monthly reservoir water level variation (\(\Delta R\)/month), monthly cumulative rainfall (\(\Sigma q^{\text{month}}\)/mm), and maximum daily rainfall within a month (\(q^{day}_{\text{max}}\)/mm). The monthly cumulative deformation increments (\(D\)/mm) at the monitoring points P2, P5, and P7 are used as the consequent items of the association rules, respectively. For instance, when mining association rules for deformation at the P2 monitoring point, the monthly cumulative deformation increments at the P5 and P7 are utilized as antecedent items. To ensure the acceptance of training data and scenes, the parameters of the FP-Growth algorithm were set with a minimum support threshold of 5% and a minimum confidence threshold of 60%. Given that landslide deformation predominantly occurs at medium-to-low levels, the resulting association rules primarily reflect medium and low levels of deformation. In this analysis, valid rules are extracted based on the lift value and sorted in descending order. Ultimately, rules with higher lift values were selected as the valid rules for the analysis. Table 2 presents the results of the association rule for P2. Rules 1-4 reflect association rules for low-level deformation, indicating that the front of the landslide primarily experiences stable deformation under medium-to-high reservoir water levels, with corresponding stability observed at the middle and rear sections. Rules 1 and 4 suggest that when the reservoir water level is at medium-to-high levels and the water level variation displays stable fluctuation or slowly rises, deformation at the front remains stable, even with monthly cumulative rainfall and maximum daily rainfall of moderate-to-heavy levels. Rules 5-7 represent association rules for middle-level deformations, showing that when the front of the landslide experiences middle deformation, the reservoir water level is at medium-to-low levels, with the water level in a drop state and the corresponding rainfall predominantly at moderate-to-light levels. Rules 8-10 reflect association rules for high-level deformation, indicating that significant deformation occurs during periods when the reservoir water  
Figure 8: The count of the clustering results of the P2, P5, and P7 monitoring points. level is low, and no moderate or heavy rainfall is observed in the antecedent items. This demonstrates that reservoir water level regulation plays a dominant role in controlling deformation at the front of the landslide, while rainfall has a less distinct influence. Notably, when deformation at the front is high, the associated rules indicate that deformation at the middle and rear sections remains low, exhibiting a different trend from the front. This implies that the impact of external hydrological factors on landslide deformation is spatially variable, with different intrinsic mechanisms influencing deformation depending on location. The association rules of the P5 are illustrated in Table 3. Rules 1-3 indicate that low-level deformation occurs exclusively under medium-to-high reservoir water levels. Rule 2 demonstrates that when the reservoir water level is high and slowly rising, deformation remains stable, even during short periods of heavy rainfall. This behavior aligns with the deformation trend observed at the front of the landslide, further suggesting that the impact of rainfall on landslide deformation is significantly reduced during periods of high reservoir water level. Rules 4-6 involve the slowly declining reservoir water level, with the monthly average reservoir water level remaining at a medium level. None of these rules involve moderate or heavy rainfall in the antecedent items, indicating that when middle-to-low-level deformation occurs in the middle of the landslide, the reservoir water