This paper proposes a multi-objective optimization model for the airtanker location-allocation problem, aiming to minimize the total mission time and operational cost. The model integrates multiple factors, such as wildfire risk, demand for firefighting resources, aircraft performance characteristics, and deployment and operational cost. To enhance the prioritization of high-risk areas, the model incorporates forest fire risk factors based on wind speed, relative humidity, and vegetation cover. Additionally, to address the high-dimensional integer multi-objective optimization model, this paper introduces a two-layer decisions strategy and adaptive factors to enhance the solution ability of the NSGA-II algorithm. Guangxi Province is used as a case study, spatial data processing is performed using ArcGIS, and the improved NSGA-II algorithm is applied to solve the proposed location-allocation model. The results show that: 1) The improved NSGA-II algorithm effectively improves both the solution speed and solution quality; 2) Deploying two AG600 aircrafts at the Liuzhou Bailian airport is the optimal plan for Guangxi, with a 39% improvement in relative closeness compared to other plans. In conclusion, the airtanker location-allocation model based on forest fire risk factors provides theoretical guidance and references for airtanker deployment in China.