By considering the superposition (reduction) effect of disaster losses, an adaptive index formula for multivariate compound disaster systems was derived, and an adaptive evaluation index system for multivariate compound disaster systems was constructed from the two major dimensions of disaster prevention capacity and disaster response capacity. The entropy weight-TOPSIS method is used to evaluate adaptability of each region, and ArcGIS software is utilized to map the adaptability zoning. The application results of the Guangdong-Hong Kong-Macao Greater Bay Area case show that for the “rainstorm-landslide” and “rainstorm-collapse” multivariate compound disaster systems in the Guangdong-Hong Kong-Macao Greater Bay Area, the regions with high adaptability are mainly concentrated in the southern area; the regions with relatively high adaptability are mainly a few areas in the central part; the regions with medium and relatively low adaptability are mainly distributed in most areas of the central part and the southwestern and eastern areas; the regions with low adaptability are mainly located in the northwestern and northeastern areas, respectively. When facing multivariate compound disaster systems, the regional adaptive index is significantly lower than that for single disasters.