[1]杜建雯,施小清,徐红霞,等.基于iTOUGH2的生物降解模型全局敏感性时变分析[J].水文地质工程地质,2020,47(2):35-42.[doi:10.16030/j.cnki.issn.1000-3665.201902037]
 DU Jianwen,SHI Xiaoqing,XU Hongxia,et al.Temporal variation of global sensitivity analysis for biodegradation model using iTOUGH2[J].Hydrogeology & Engineering Geology,2020,47(2):35-42.[doi:10.16030/j.cnki.issn.1000-3665.201902037]
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基于iTOUGH2的生物降解模型全局敏感性时变分析()
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《水文地质工程地质》[ISSN:1000-3665/CN:11-2202/P]

卷:
47卷
期数:
2020年2期
页码:
35-42
栏目:
水文地质
出版日期:
2020-03-15

文章信息/Info

Title:
Temporal variation of global sensitivity analysis for biodegradation model using iTOUGH2
文章编号:
1000-3665(2020)02-0035-08
作者:
杜建雯施小清徐红霞吴吉春
南京大学地球科学与工程学院/表生地球化学教育部重点试验室,江苏 南京210023
Author(s):
DU Jianwen SHI Xiaoqing XU Hongxia WU Jichun
Key Laboratory of Surficial Geochemistry, Ministry of Education/ School of Earth Sciences and Engineering, Nanjing University, Nanjing, Jiangsu210023, China
关键词:
全局敏感性分析敏感性时变分析好氧生物降解相互作用效应参数反演试验设计
Keywords:
global sensitivity analysis (GSA) sensitivity time-varying analysis aerobic biodegradation interaction effect parameter inversion experiment design
分类号:
P641.3
DOI:
10.16030/j.cnki.issn.1000-3665.201902037
文献标志码:
A
摘要:
Monod动力学方程被广泛应用于描述地下水中有机污染物微生物降解过程。由于Monod方程参数众多,采用敏感性分析可识别参数的重要程度,有助于参数反演和理解微生物降解过程。已有敏感性分析一般仅关注敏感性的整体平均值及其随空间的变化,很少考虑敏感性随时间的变化。以一个好氧生物降解甲苯的一维砂柱试验为例,基于iTOUGH2采用Morris法和Sobol’法对降解过程参数及试验条件参数开展全局敏感性时变分析。研究结果发现,由于微生物好氧降解能力随时间先提高后减弱,导致降解过程参数的敏感性相应地随时间先增加后减少。最大基质降解速率k的Sobol’一阶敏感性指数在试验早期小于10%,中期最大为62%,晚期减至49%。参数间的相互作用效应随时间先增大后减小。k的参数间相互作用效应根据Sobol’总敏感性指数与一阶敏感性指数的差值表征,该值在试验早期和晚期近乎为0,中期达6%。通过敏感性以及参数间相互作用效应的时变分析发现,试验晚期的观测数据对模型过程参数的敏感性较大以及相互作用效应较小,因此选择试验晚期数据更有利于降解过程参数的反演识别。同时由于试验条件参数在早期敏感性较大,为避免试验条件控制不当导致的观测数据误差增大,试验早期应较中期和晚期更严格控制试验条件。
Abstract:
Monod kinetic equation is widely used to describe the microbial biodegradation process of organic groundwater contaminants. Due to a large number of parameters in the Monod equation, sensitivity analysis can be used to identify the importance of the parameters, which is helpful for parameter inversion and microbial biodegradation process understanding. However, most existing sensitivity analyses only focus on average sensitivity value and space variation, seldom considering sensitivity over time. In this paper, a one-dimensional sand-column experiment of toluene aerobic biodegradation was taken as an example. Based on iTOUGH2 global sensitivity analysis (GSA), we used Morris and Sobol’ methods to analyze degradation process parameters and experimental parameters changing with time. The results show that the aerobic degradation ability of microbes first increases and then decreases over time, which leads to the same trend for the degradation process parameters sensitivity. Sobol’ Index of the maximum substrate degradation rate k varies from less than 10% at early-stage to at most 62% at middle-stage and decreases to 49% at late-stage. The parameter interaction effect also varies similarly to sensitivity. We used the differences between Sobol’ Total Sensitivity Index and Sobol’ Index to describe parameter k’s parameter interaction effect, which in this case are both at around 0% for early and late stages and rises to 6% at middle-stage. Through these time-varying analyses of sensitivity and parameter interaction effect, we find that observations in the late-stage of the experiment are more sensitive to degradation process parameters and the parameter interaction effect in the late-stage is smaller, so selecting the observations in the late-stage is more beneficial for the degradation process parameters inversion. Besides, to avoid the possible increase of observations error,the one caused by improper experimental control, the experimental conditions should be more strictly controlled in the early-stage than in the middle and late stages because the experimental parameters are more sensitive in the early-stage.

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备注/Memo

备注/Memo:
收稿日期: 2019-02-27; 修订日期: 2019-11-02
基金项目: 国家自然科学基金项目(41730856;41672229)
第一作者: 杜建雯(1997-),女,硕士研究生,主要从事水文模型数值模拟。E-mail:MG1829055@smail.nju.edu.cn
通讯作者: 施小清(1979-),男,教授,主要从事地下水数值模拟。E-mail: shixq@nju.edu.cn
更新日期/Last Update: 2020-03-15