熵法估参在环境监测数据频率分析中的应用

以最大信息熵原理为理论基础的熵法估参方法，是一种具有严格物理和数学意义的新型参数估计方法，本文针对珠江广州河段主要污染物含量长年监测数据，对比熵法与传统方法矩法对四参数Г分布的估参结果，并以频率绝对离盖和最小为准则进行判定，结果表明，熵法估参结果与矩法总体上相当接近，且大部分样本的熵法估计参数优于矩法，在环境监测数据频率分析中具有实用性和推广价值。

The Application of Entropy to Estimate the Parameters for Frequency Analysis of Environmental Monitoring Data

Entropy parameter estimation method, based on the principle of maximum information entropy, is a new parameter estimation method with strictly physical and mathematical basis. For the perennial monitoring data of main pollutants in the Pearl River, comparison is made of the estimation of the parameters of four-parameter gamma distribution with the entropy method and the conventional matrix method in the paper. The criterion of minimum frequency difference indicates that parameters estimation result with entropy method is pretty close to the one with moments method, and estimation parameters of most samples of entropy method are superior to those of matrix method. It proves that entropy method has practicability and a captivating future for frequency analysis of environmental monitoring data.