The ecological risk of accumulation of heavy metals in soil and its influencing factors were evaluated and discussed by enrichment factor, ecological risk index calculation, GIS overlay processing, and redundancy analysis based on land use types in a smallscale drainage catchment of vanadiumtitanium magnetite mining area located in Hongqi town, Yixun River, Chengde City. Meanwhile, the influence of optimization methods such as sample encryption, land use type, and GIS geographic processing on baseline segmentation evaluation results was analyzed based on a comparison of three assessment methods of ecological risk accumulation effect. The results indicated that the enrichment factor index of the surface soils followed the order of Hg＞Cd＞Cu＞As＞Pb＞Zn＞Co＞V＞Cr＞Ni＞Ti＞Mn. The comprehensive ecological risk of 12 heavy metals in surface soil was relatively low, with the RI ranges from 51. 48 to 1152. 39. The high anomaly points of the potential ecological risk index were mainly distributed in dry land, grassland, irrigated land, construction land, and paddy fields beside mining areas. The comprehensive potential ecological risk of heavy metals in deep soil was generally weaker than in surface soil. The distribution of soil heavy metals in surface and deep soil showed an obvious difference in response to environmental factors of land use types. The total area of speckles with positive accumulation in ecological risk of heavy metals decreased by 16. 79%, and the randomness and discreteness of sample data were significantly reduced after the optimization of surface sample densification and GIS patch assignment overlay model. Nevertheless, the extreme value range of ecological risk accumulation index increases relatively, and the distribution of high outliers was more prominent, which is more conducive to the screening and identification of contaminated plots. Furthermore, the baseline segmentation evaluation method of ecological risk accumulation effect based on GIS geographic processing visualization can continue to be optimized in some aspects such as the evaluation unit and segmentation benchmark, and provide a method reference for ecological environment monitoring and early warning, comprehensive management of natural resources and ecological environment audit assessment.