| 土壤风蚀影响因子分布规律研究的最大熵方法 |
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| 引用本文： | 邹春霞,申向东,李春娥.土壤风蚀影响因子分布规律研究的最大熵方法[J].农业环境科学学报,2007,26(6):2095-2098. |
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| 作者姓名： | 邹春霞 申向东 李春娥 |
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| 作者单位： | 1. 内蒙古农业大学水利与土木建筑工程学院,内蒙古,呼和浩特,010018
2. 内蒙古巴彦淖尔市临河区公路段,内蒙古,巴彦淖尔,015000 |
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| 摘 要： | 土壤风蚀是一个综合的自然地理过程,包括气候、植被、土壤、地形地貌等多种因子。作为随机变量的风蚀因子,其分布规律直接或间接地影响着风沙的运动规律,一方面导致土壤风蚀程度及方向的变化,另一方面变量之间的非线性相互作用的结果导致风沙流的混沌特性。为此把影响风沙运动规律的各因子作为研究对象,应用最大熵原理与遗传算法相结合的方法,建立了风蚀影响因子概率密度函数模型,采用Matlab语言编制了相应的计算程序,并以阴山北部农牧交错带为例对所建模型的合理性和可行性进行了验证。结果表明,风蚀影响因子的熵概率密度函数不仅合理可行而且具有较高的精度。
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| 关 键 词： | 风蚀影响因子 最大熵原理 遗传算法 概率密度函数 |
| 文章编号： | 1672-2043（2007）06-2095-04 |
| 修稿时间： | 2007-02-11 |
The Distribution of Factors Affecting Wind Erosion Based on Maximum Entropy Principle |
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| ZOU Chun-xia,SHEN Xiang-dong,LI Chun-e.The Distribution of Factors Affecting Wind Erosion Based on Maximum Entropy Principle[J].Journal of Agro-Environment Science( J. Agro-Environ. Sci.),2007,26(6):2095-2098. |
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| Authors: | ZOU Chun-xia SHEN Xiang-dong LI Chun-e |
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| Institution: | 1. Inner Mongolia Agricultural University, Huhhot 010018, China; 2.Linhe Road Department, Inner Mongolia, Bayannaoer 015000, China |
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| Abstract: | Wind erosion is a comprehensive geography phenomenon, including a lot of factors such as weather, vegetation, soil, landform , etc. All of these factors can be regarded as stochastic variables whose distribution affects the sand movement directly and indirectly. They contribute to not only the variation of wind erosion in extent and direction, but also the chaos characteristics of sand blown resulted from the nonlinearity actions among variables. In the paper, the model of probability density function of factors affecting wind erosion was built up based on the principle of maximum entropy and Genetic Algorithm. The calculation program was written in Matlab. Compared with the histogram of wind velocity, ground temperature and air temperature from experimental field data in North Yin Mountain, the model was validated, and the results indicated that the entropy probability density function of factors affecting wind erosion was feasible and reasonable, which opened a new way to study the distribution of aeolian factors. |
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| Keywords: | factors affecting wind erosion maximum entropy principle genetic algorithm probability density function |
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