Multimedia health risk assessment: A case study of scenario-uncertainty

被引:26
作者
Li Fei [1 ,2 ]
Huang Jin-hui [1 ,2 ]
Zeng Guang-ming [1 ,2 ]
Yuan Xing-zhong [1 ,2 ]
Liang Jie [1 ,2 ]
Wang Xiao-yu [1 ,2 ]
机构
[1] Hunan Univ, Coll Environm Sci & Engn, Changsha 410082, Hunan, Peoples R China
[2] Hunan Univ, Minist Educ, Key Lab Environm Biol & Pollut Control, Changsha 410082, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
scenario-uncertainty; multimedia health risk assessment (MHRA); comparative analysis; parameter-uncertainty; MODEL; FATE;
D O I
10.1007/s11771-012-1357-y
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
Assisted by framework of multimedia total exposure model for hazard waste sites (CalTOX), potential influences of scenario-uncertainty on multimedia health risk assessment (MHRA) and decision-making were quantitatively analyzed in a primary extent under the Chinese scenario case by deliberately varying the two key scenario-elements, namely conceptual exposure pathways combination and aim receptor cohorts choice. Results show that the independent change of one exposure pathway or receptor cohort could lead variation of MHRA results in the range of 3.6x10(-6)-1.4x10(-5) or 6.7x10(-6)-2.3x10(-5). And randomly simultaneous change of those two elements could lead variation of MHRA results at the range of 7.7x10(-8)-2.3x10(-5). On the basis of the corresponding sensitivity analysis, pathways which made a valid contribution to the final modeling risk value occupied only 16.7% of all considered pathways. Afterwards, comparative analysis between influence of parameter-uncertainty and influence of scenario-uncertainty was made. In consideration of interrelationship among all types of uncertainties and financial reasonability during MHRA procedures, the integrated method how to optimize the entire procedures of MHRA was presented innovatively based on sensitivity analysis, scenario-discussion and nest Monte Carlo simulation or fuzzy mathematics.
引用
收藏
页码:2901 / 2909
页数:9
相关论文
共 29 条
[1]  
[Anonymous], 1997, EXP FACT HDB
[2]   Investigating uncertainty and sensitivity in integrated, multimedia environmental models: tools for FRAMES-3MRA [J].
Babendreier, JE ;
Castleton, KJ .
ENVIRONMENTAL MODELLING & SOFTWARE, 2005, 20 (08) :1043-1055
[3]  
*CA EPA, 1993, CALTOX MULT TOT EXP
[4]   Combining the cost of reducing uncertainty with the selection of risk assessment models for remediation decision of site contamination [J].
Chen, Yen-Chuan ;
Ma, Hwong-Wen .
JOURNAL OF HAZARDOUS MATERIALS, 2007, 141 (01) :17-26
[5]   Model comparison for risk assessment: A case study of contaminated groundwater [J].
Chen, Yen-chuan ;
Ma, Hwong-wen .
CHEMOSPHERE, 2006, 63 (05) :751-761
[6]  
COHEN Y, 1987, MODELING POLLUTANT T
[7]  
Cullen A.C., 1999, Probability techniques in exposure assessment: a handbook for dealing with variability and uncertainty in models and inputs, P1
[8]  
FAYERWEARTHER W E, 1999, RISK ANAL, V19, P1007
[9]  
FINKEL ADAM., 1990, CONFRONTING UNCERTAI
[10]   A systematic uncertainty analysis of an evaluative fate and exposure model [J].
Hertwich, EG ;
McKone, TE ;
Pease, WS .
RISK ANALYSIS, 2000, 20 (04) :439-454