除草剂苯噻草胺土壤滞留因子的蒙特卡洛模拟

戴勇; 韩朔睽; 卢颖

环境化学

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戴勇, 韩朔睽, 卢颖. 除草剂苯噻草胺土壤滞留因子的蒙特卡洛模拟[J]. 环境化学, 2002, 21(2): 105-109.

引用本文:

戴勇, 韩朔睽, 卢颖. 除草剂苯噻草胺土壤滞留因子的蒙特卡洛模拟[J]. 环境化学, 2002, 21(2): 105-109.

DAI Yong, HAN Shuo-kui, LU Ying. MONTE CARLO SIMULATION OF THE SOIL RETARDATION FACTOR OF THE HERBICIDE MEFENACET[J]. Environmental Chemistry, 2002, 21(2): 105-109.

Citation:

DAI Yong, HAN Shuo-kui, LU Ying. MONTE CARLO SIMULATION OF THE SOIL RETARDATION FACTOR OF THE HERBICIDE MEFENACET[J]. Environmental Chemistry, 2002, 21(2): 105-109.

除草剂苯噻草胺土壤滞留因子的蒙特卡洛模拟

1.
南京大学环境学院, 污染控制与资源化研究国家重点实验室, 南京, 210093;
2.
广西大学化学化工学院, 南宁, 530004

MONTE CARLO SIMULATION OF THE SOIL RETARDATION FACTOR OF THE HERBICIDE MEFENACET

1.
School of Environment, Nanjing University, State Key Laboratory of Pollution Control and Reuse, Nanjing, 210093;
2.
College of Chemistry & Chemical Engineeing, Guangxi University, Nanning, 530004

摘要: 采用简单随机抽样和拉丁超立方抽样两种不同方法对除草剂苯噻草胺的土壤滞留因子模型进行蒙特卡洛模拟.结果表明,不同的土壤条件下,苯噻草胺的滞留因子(R)的数值呈Beta分布,最大极值为176.5,最小极值为3.3,最可能的取值在20—30的范围内.结果还显示了采用拉丁超立方抽样方法能够显著降低抽样的不均匀性,进而能降低Beta分布拟合的不确定性.本文还通过色轴在4维图上形象地表征了R值的变化.
- 土壤滞留因子 /
- 蒙特卡洛模拟 /
- 拉丁超立方抽样 /
- 不确定性
Abstract: Both Simple Random Sampling and Latin Hypercube Sampling were applied to simulate the model of the soil retardation factor of the herbicide mefenacet by Monte Carlo method. The results showed that the probability distribution function of the soil retardation factor,R,is the Beta function,the R value varies from 3.3 to 176.5, and the most likely value of R is between 20 and 30. Besides, the simulations using Latin Hypercube Sampling can reduce the unevenness of sampling effectively, while the uncertainty of the fitting Beta distribution also decreased as a result. furthermore,the variety of R was visualized by the four dimensions figure using the color map as the fourth dimension.
- soil retardation factor /
- Monte Carlo Simulation /
- Latin Hypercube Sampling /
- uncertainty

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戴勇, 韩朔睽, 卢颖. 除草剂苯噻草胺土壤滞留因子的蒙特卡洛模拟[J]. 环境化学, 2002, 21(2): 105-109.

引用本文:

戴勇, 韩朔睽, 卢颖. 除草剂苯噻草胺土壤滞留因子的蒙特卡洛模拟[J]. 环境化学, 2002, 21(2): 105-109.

DAI Yong, HAN Shuo-kui, LU Ying. MONTE CARLO SIMULATION OF THE SOIL RETARDATION FACTOR OF THE HERBICIDE MEFENACET[J]. Environmental Chemistry, 2002, 21(2): 105-109.

Citation:

DAI Yong, HAN Shuo-kui, LU Ying. MONTE CARLO SIMULATION OF THE SOIL RETARDATION FACTOR OF THE HERBICIDE MEFENACET[J]. Environmental Chemistry, 2002, 21(2): 105-109.

除草剂苯噻草胺土壤滞留因子的蒙特卡洛模拟

1. 南京大学环境学院, 污染控制与资源化研究国家重点实验室, 南京, 210093;
2. 广西大学化学化工学院, 南宁, 530004

收稿日期: 2001-05-20

关键词:

摘要: 采用简单随机抽样和拉丁超立方抽样两种不同方法对除草剂苯噻草胺的土壤滞留因子模型进行蒙特卡洛模拟.结果表明,不同的土壤条件下,苯噻草胺的滞留因子(R)的数值呈Beta分布,最大极值为176.5,最小极值为3.3,最可能的取值在20—30的范围内.结果还显示了采用拉丁超立方抽样方法能够显著降低抽样的不均匀性,进而能降低Beta分布拟合的不确定性.本文还通过色轴在4维图上形象地表征了R值的变化.

English Abstract

MONTE CARLO SIMULATION OF THE SOIL RETARDATION FACTOR OF THE HERBICIDE MEFENACET

1. School of Environment, Nanjing University, State Key Laboratory of Pollution Control and Reuse, Nanjing, 210093;
2. College of Chemistry & Chemical Engineeing, Guangxi University, Nanning, 530004

Received Date: 2001-05-20

Keywords:

Abstract: Both Simple Random Sampling and Latin Hypercube Sampling were applied to simulate the model of the soil retardation factor of the herbicide mefenacet by Monte Carlo method. The results showed that the probability distribution function of the soil retardation factor,R,is the Beta function,the R value varies from 3.3 to 176.5, and the most likely value of R is between 20 and 30. Besides, the simulations using Latin Hypercube Sampling can reduce the unevenness of sampling effectively, while the uncertainty of the fitting Beta distribution also decreased as a result. furthermore,the variety of R was visualized by the four dimensions figure using the color map as the fourth dimension.

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除草剂苯噻草胺土壤滞留因子的蒙特卡洛模拟

MONTE CARLO SIMULATION OF THE SOIL RETARDATION FACTOR OF THE HERBICIDE MEFENACET

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除草剂苯噻草胺土壤滞留因子的蒙特卡洛模拟

English Abstract

MONTE CARLO SIMULATION OF THE SOIL RETARDATION FACTOR OF THE HERBICIDE MEFENACET

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