<p>Geological disasters not only pose severe threats to production activities but also cause significant damage to the ecological environment. Therefore, it is particularly important to formulate ecological protection policies in conjunction with geological disaster susceptibility. This study takes Huicheng District as the research area, employing both the Support Vector Machine (SVM) and Random Forest (RF) models to conduct a geological disaster susceptibility assessment, and compares their performance using ROC curves to select the optimal model. From the perspectives of ecological foundation and ecological risk, an ecological environment quality evaluation indicator system was constructed to obtain the ecological environment quality zoning. By integrating the results of geological hazard susceptibility and ecological environment quality, an ecological environment optimization zoning based on geological hazard susceptibility was proposed. The main findings are as follows: (1) The Random Forest model achieved an ROC value of 0.89, indicating high accuracy and suitability for geological hazard susceptibility assessment in the study area; (2) Non-susceptible and low-susceptibility zones account for 63.65% of the total area of Huicheng District, reflecting favorable geological conditions; (3) The ecological environment quality in Huicheng District exhibits a radial distribution pattern extending outward from the central urban area; (4) The ecological environment optimization zoning is divided into ecological preservation zones, ecological prevention and control zones, ecological restoration zones, and key remediation zones. Differentiated protection measures are implemented according to zone characteristics, providing scientific guidance for disaster prevention, mitigation, and ecological conservation efforts.</p>