ABSTRACT In this study, Triangular Fuzzy-number of the Fuzzy Set Theory was introduced to reform parameters of those previous health risk assessment (HRA) models, Monte Carlo simulation parameter was applied to lower the randomness and fuzziness of the HRA system, and the Monte Carlo-United States Environmental Protection Agency (MC-EPA) model was employed to evaluate the health risk associated with water quality (HRWQ), so as to solve the uncertainty HRA associated with rural drinking water quality. Results showed that the water in Mingshan was contaminated mainly by Cr(VI), nitrate, fluoride and Fe. The health risk primarily embodied in the carcinogenic risk (CR) caused by Cr(VI) that generally exceeds the limit while little non-carcinogenic toxic effected presents. However, non-carcinogenic risk (NCR) in some water resources was high, exceeding the limit “1”. The results revealed the health risk level of the water quality and the health risk degree caused by the pollutants, providing scientific support for the management of the HRWQ of the WR. It also indicated the significance of MC-EPA model’s application.
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Y. Deng, F. Ni and Z. Yao, "The Monte Carlo-Based Uncertainty Health Risk Assessment Associated with Rural Drinking Water Quality," Journal of Water Resource and Protection, Vol. 4 No. 9, 2012, pp. 772-778. doi: 10.4236/jwarp.2012.49088.
 L. Y. Chai, Z. X. Wang, Y. Y. Wang, et al., “Ingestion Risks of Metals in Groundwater Based on TIN Model and Dose-Response Assessment: A Case Study in the Xiangjiang Watershed, Central-South China,” Science of the Total Environment, Vol. 408, 2010, pp. 3118-3124.
 E. Topuz, I. Talinli and E. Aydin, “Integration of Environmental and Human Health Risk Assessment for Industries Using Hazardous Materials: A Quantitative Multi Criteria Approach for Environmental Decision Makers,” Environment International, Vol. 37, 2011, pp. 393-403.
 J. Zhou, Y. You, Z. P. Bai, et al., “Health Risk Assessment of Personal Inhalation Exposure to Volatile Organic Compounds in Tianjin, China,” Science of the Total Environment, Vol. 409, No. 3, 2011, pp. 452-459.
 D. C. Dante, P. Paulina and M. Nestor, “Exposure to Inorganic Arsenic in Drinking Water and Total Arsenic Concentration in a Chilean Population,” Environmental Research, Vol. 98, No. 2, 2005, pp. 151-159.
 K. L. Hu, Y. F. Huang, H. Li, et al., “Spatial Variability of Shallow Groundwater Level, Electrical Conductivity and Nitrate Concentration, and Risk Assessment of Nitrate Contamination in North China Plain,” Environmental International, Vol. 31, No. 6, 2005, pp. 896-903.
 C. H. Fan, G. S. Wang, Y. C. Chen, et al., “Risk Assessment of Exposure to Volatile Organic Compounds in Groundwater in Taiwan,” Science of Total Environment, Vol. 407, No. 7, 2009, pp. 2165-2174.
 H. J. Jeong, W. T. Hwang, E. H. Kim, et al., “Radiological Risk Assessment for an Urban Area: Focusing on a Drinking Water Contamination,” Annual Nuclear Energy, Vol. 36, 2009, pp. 1313-1318.
 R. Z. Li, M. Shigeki, T. Q. Hong, et al., “Fuzzy Model for Two-Dimensional River Water Quality Simulation under Sudden Pollutants Discharged,” Journal of Hydrodynogy, Vol. 19, 2007, pp. 434-441.
 F. Q. Ni, G. D. Liu, S. C. Yang, et al., “Heath Risk Assessment Associated with the Rural Drinking Water Quality in the Western Edge of the Sichuan Basin,” Progress in Natural Science, Vol. 19, 2009, pp. 1281-1288 (in Chinese).
 F. Q. Ni, G. D. Liu, Y. S. Tan, et al., “Spatial Variation of Health Risk of Groundwater for Drinking Water Supply in Mingshan County, Ya’an City, China,” Water Science and Engineering, Vol. 3, No. 4, 2010, pp. 454-466.
 US EPA, “Risk Assessment Guidance for Superfund in Human Health Evaluation Manual (Part A),” EPA/541/ 1-89/002, December 1989, pp. 193-198.
 R. Zou and W. S. Lung, “Uncertainty Analysis for a Dynamic Phosphorus Model with Fuzzy Parameters,” Water Quality and Ecosystem Modeling, Vol. 1, No. 1-4, 2000, pp. 237-252. doi:10.1023/A:1013946902263
 E. G. Ronald and E. Y. Robert, “Analysis of the Error in the Standard Approximation Used for Multiplication of Triangular and Trapezoidal Fuzzy Number and the Development of a New Approximation,” Fuzzy Sets and Sys- tems, Vol. 91, No. 1, 1997, pp. 1-13.
 J. L. Jin, K. Y. Wu and R. Z. Li, “The Stochastic Simulation and Triangular Fuzzy Number Coupling Model of Water Environment Risk Evaluation,” Journal of Hydraulic Engineering, Vol. 39, 2008, pp. 1257-1261 (in Chinese).
 W. S. Wang, J. L. Jin and Y. Q. Li, “Stochastic Simulation Method for Hydrology and Water Resource,” Sichuan University Press, Chengdu, 2007 (in Chinese).