This study evaluated the eco-geological environment quality of Hunjiang District, Baishan City, Jilin Province. Fifteen indicators were selected from geological, ecological, and social aspects to make the eco-geological environmental quality assessment more comprehensive. On the basis of improved game theory, two weighting methods of FAHP-CV (Fuzzy Analytic Hierarchy Process and Coefficient of Variation) were used to calculate the weight, and finally ArcGIS was used to intuitively understand the eco-geological environment quality of the study area. According to a threshold value, the eco-geological environment quality of the study area was divided into five types: better, good, medium, bad, and worse, and the results show that the overall eco-geological environment quality of the study area is in the middle and upper levels. The eco-geological environment quality of a small part of the area is poor. The classification of the eco-geological environment quality of Hunjiang District provides a scientific basis for the establishment of reasonable eco-geological environment protection and urban planning in the future.

Debris flow disasters frequently occur and pose considerable hazards; thus, it is essential to thoroughly evaluate their risks. This study constructs a database comprising 20 assessment indicators, utilizing comprehensive natural disaster risk assessment theory and incorporating the triggering factors of Huokou Lake in the Changbaishan Mountains. This research employs a hybrid ANP-CRITIC methodology to allocate weights to the assessment indicators efficiently. For hazard assessment, this research utilizes both the Information Quantity and Random Forest models for comparative analysis. The ROC curve was employed to validate the outcomes, ultimately favoring the Random Forest model due to its superior accuracy in assessing debris flow hazards. In this study, the risk of debris flow disasters in Antu County is comparatively assessed under scenarios with and without an outburst event. The findings indicate that areas of high and very high risk are predominantly located within the central regions of economically prosperous and densely populated townships. Additionally, the risk in Erdao Baihe Township escalates significantly when considering the outburst of Huokou Lake. The significance of this study lies in its ability to furnish a robust scientific basis for decision-makers aimed at preventing future debris flow disasters. Furthermore, it serves as a crucial reference for advancing sustainable regional development and facilitates the equilibrium between economic growth and environmental protection within disaster management strategies.