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A novel platform, named the Bayesian matbugs calculator (BMC), was developed to select the best SSD model, assess ecological risk at high-, mid- and low-levels of the 95% credible interval (CI), and to set the priority of toxic substances. The BMC platform was applied to the ecological risk assessment and priority setting of 32 toxic substances, including polycyclic aromatic hydrocarbons (PAHs) and organochlorine pesticides (OCPs), in the water from the Beijing-Tianjin-Bohai (BTB) area of northern China. The results showed that most of the studied PAH and OCP compounds have a high-level ecological risk with potential affected fraction (PAF) > 10-3 except for benzo(a)anthracene, pyrene, chrysene and β-hexachlorocyclohexane (β-HCH). The Yongdinghe River, Yongdingxinhe River, and Guanting Reservoir had the highest multiple substance combined PAF (msPAF) at mid-level, whereas the Qingshuihe River had the lowest msPAF, ranging from 2.91 × 10-7 to 1.15 × 10-1 at various levels. On the basis of ecological risk at the high level of 95% CI, the priorities for PAHs and OCPs were anthracene, chrysene, benzo(a)pyrene, δ-HCH, p,p′-dichlorodiphenyldichloroethane (p,p′-DDD), heptachlor epoxide, endosulfan sulfate, methoxychlor, and endosulfan II. The BMC platform can be concluded to be a friendly, accessible, efficient tool to select the best SSD model, calculate relevant indicators, assess ecological risks with uncertainty, and to set the priority of toxic substances. [ABSTRACT FROM AUTHOR]