文章摘要
陈建平,王淑扬,万长园,王明玉.地下水污染健康风险模拟预测评估中参数的敏感度分析Journal of Water Resources and Water Engineering[J].,2013,24(1):123-126
地下水污染健康风险模拟预测评估中参数的敏感度分析
Sensitivity analysis of parameters in health risk simulation and forecast assessment of groundwater pollution
Received:October 19, 2012  
DOI:10.11705/j.issn.1672-643X.2013.01.029
中文关键词: 解析解  敏感度分析  地下水污染  健康风险
英文关键词: analytical solution  sensitivity analysis  groundwater pollution  health risk
基金项目:国家重点基础研究发展计划“973”项目(2010CB428801)
Author NameAffiliation
CHEN Jianping Liaoning technical University,Fuxin 123000,China 
WANG Shuyang Liaoning technical University,Fuxin 123000,China 
WAN Changyuan Liaoning technical University,Fuxin 123000,China 
WANG Mingyu Center for Water System Security, Graduate University of the Chinese Academy of Sciences, Beijing 100049, China [KH*3D] 
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中文摘要:
      随着地下水污染健康风险评估逐渐被重视,其风险的影响程度和发展趋势也越来越被关注,因此解析解模拟预测评估地下水污染健康风险也逐渐被应用。本文旨在研究解析解模型对污染物健康风险模拟的敏感度,为该方法更广泛的应用提供依据。选取解析解模型中的渗透系数(K)、纵向弥散度(αx)、污染物有机碳分配系数(Koc)和半衰期(t1/2)4个参数,在其他参数不变的情况下,依次改变各参数的值并进行解析解计算,记录对应的参数值与模拟结果,绘出模拟预测值与各个分析参数的变化曲线,分析解析解对各个参数的响应程度,从而为处理不确定因素提供依据。
英文摘要:
      With the health risk assessment of groundwater pollution having been paid more attention gradually; more and more concern has focused on the influence degree and the development trend of its risk, therefore using analytical solution to simulate, predict and assess the health risk of groundwater pollution has been gradually applied as well. This paper aims to study the sensitivity of analytical solution model when simulating health risks of pollutants and underlying more extensive application of this method. It selects four parameters from analytical solution model ,including permeability coefficient (K), longitudinal dispersity (αx), pollutants organic carbon distribution coefficient (Koc) and half-life (t1/2).In the cases of other parameters being constant , it changes the value of each parameter successively and calculates analytical solution , records the corresponding parameter value and simulation results, draws simulated prediction value and each change curve of analytical parameter , elaborates the respond degree of analytical solution to each parameter, thus provides basis for coping with uncertain factors.
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