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垃圾填埋场覆盖层土壤水运动信息测度分析
引用本文:张文贤,张展羽,王康.垃圾填埋场覆盖层土壤水运动信息测度分析[J].水科学进展,2009,20(6):838-844.
作者姓名:张文贤  张展羽  王康
作者单位:1.河海大学农业工程学院, 江苏, 南京, 210098;
基金项目:国家自然科学基金资助项目,国家重点基础研究发展计划(973)资助项目 
摘    要:垃圾填埋场覆盖层土壤水运动试验,分别采用活动性流场模型(ARM)与连续性模型对覆盖层土壤体积含水率进行模拟,用信息量和复杂性测度度量了ARM模型和连续性模型模拟水流运动的效果。大于(或小于)均值的土壤体积含水率分别进行了二元符号1(或0)编码,用基质熵和信息传递链测度系统信息含量,用涨落复杂度和有效测度复杂度度量了系统复杂程度。结果表明,信息含量和复杂性测度可用于比较ARM和连续性模型,与连续性模型相比,ARM模拟的水流运动系统信息含量增多,复杂程度增大,与实测值序列的差异较小,相比连续性模型,ARM更为有效地模拟了填埋场覆盖层土壤水流运动。

关 键 词:活动性流场模型    信息熵    非均匀流动    垃圾填埋场覆盖层
收稿时间:2009-02-08

Analysis of water movement in landfill cover soils using information theory measures
Institution:1.College of Agricultural Engineering, Hohai university, Nanjing 210098, China;2.Agriculture Husbandrym, Tibet University, Linzhi 860000, China;3.State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
Abstract:The water movement in landfill cover soils is studied using the information theory measures. The volumetric soil water contents beneath landfill obtained from the field experiments, and the simulations using the Active Region Model (ARM) and the continuum soil model are used in this study. ARM performs better than the continuum soil model compared to the observations. The time series of simulated soil moisture contents is encoded into a binary form with 'zero' and 'one' respectively representing the situations of below and above the mean soil moisture content. The information content is evaluated using the information entropy and the mean information gain. The complexity of flow patterns is quantified using the effective complexity value and the fluctuating complexity value. The result shows that the information theory measure appears to be a versatile tool of discriminating the soil moisture models. The time series of soil moisture contents simulated by ARM retains more information contents and complexities compared to those simulated by the continuum soil model.
Keywords:active region model  information entropy  heterogeneous flow  landfill cover
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