Archive/OnVeMCS: A Standalone Software for Monte Carlo Simulation and Sensitivity Analysis of Risks from Multi-Pathway Human Exposure via Soil, Sediment, Water, Air, and Food
OnVeMCS: A Standalone Software for Monte Carlo Simulation and Sensitivity Analysis of Risks from Multi-Pathway Human Exposure via Soil, Sediment, Water, Air, and Food
Antonije Onjia, Jelena Vesković
10 juin 2026
en

Abstract

OnVeMCS 1.1 is a standalone software for probabilistic human health risk assessment of pollutants in soil, sediment, water, air, and food, enabling Monte Carlo simulation (MCS) of risks across multiple exposure pathways. The hazard index (HI) and cancer risk metrics (TCR/ILCR) for ingestion, inhalation, and dermal contact are quantified using the standard dose/concentration approach. Users can manually enter analyte concentrations with various probability distributions or import them from Excel templates, and select scenario-specific exposure factor sets for residents (children and adults), outdoor and indoor workers, and food consumers. The software supports both one-dimensional (1D) and two-dimensional Monte Carlo simulation (2D MCS) modes. The results are presented through a variety of plots, including histograms and cumulative distribution functions (CDFs), pathway/analyte contribution charts, sensitivity analysis plots, nested CDFs, and uncertainty ribbons. The software also allows the overlay of two or more outputs and the inclusion of regulatory thresholds (HI = 1; TCR/ILCR = 10−6–10−4). The results are exported to a multi-sheet Excel workbook containing raw arrays, summary tables, exceedance probabilities, and sensitivity data. OnVeMCS operates quickly, with even 2D MCSs being completed in several seconds. OnVeMCS is distributed as a single Windows installer file with data examples and is free for the academic community.

IPC Classification

G06A01

Keywords

onvemcsstandalonesoftwaremontecarlosimulationsensitivityanalysisrisksmulti-pathwayhumanexposuresoilsedimentwaterfoodenvironmentsprobabilistichealthriskassessmentpollutantsenablingacross
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