Optimizing the atmospheric sampling sites using fuzzy mathematic methods

A new approach applying fuzzy mathematic theorems, including the Primary Matrix Element Theorem and the Fisher ClassificationMethod, was established to solve the optimization problem of atmospheric environmental sampling sites. According to its basis, an applicationin the optimization of sampling sites in the atmospheric environmental monitoring was discussed. The method was proven to be suitable andeffective. The results were admitted and applied by the Environmental Protection Bureau (EPB) of many cities of China. A set of computersoftware of this approach was also completely compiled and used.

作 者： FANG Chun-sheng WANG Ju DONG De-ming YU Lian-sheng   作者單位： College of Environment and Resources, Jilin University, Changchun 130023, China  刊 名： 環境科學學報(英文版)  ISTIC SCI 英文刊名： JOURNAL OF ENVIRONMENTAL SCIENCES  年，卷(期)： 2003 15(4)  分類號： X51 X11  關鍵詞： fuzzy set   primary matrix element theorem   fisher classification method   optimization of sampling sites  

【Optimizing the atmospheric sampling 】相關文章：

An estimate on the rainout of atmospheric CO204-26

EFFECTS OF THE ATMOSPHERIC COLD SOURCE OVER THE TIBETAN PLATEAU ON THE QUASI 4-YEAR OSCILLATION OF OCEAN-ATMOSPHERIC-LAN04-27

Effect of atmospheric precipitation on the dissolved loads of the Dongjiang River,China04-26

Generation and Application of Spatial Atmospheric Turbulence Field in Flight Simulation04-26

Systematic Direct Approach for Optimizing Continuous-thrust Earth-orbit Transfers04-26

Influence of the Haizhou Open Pit Coal Mine on the atmospheric flow over Fuxin,China04-25

Application of ion chromatography to the determination of water-soluble inorganic and organic ions in atmospheric aeroso04-25

Temporal and spatial variations of atmospheric methane concentration and δ13C-CH4 near the surface on the Millor Peninsu04-27