复杂性诊断方法及其在水资源系统中的应用  

Complexity Diagnoses Method and its Application in Water Resources System

作　　者：佟春生[1,2] 黄强[1] 刘涵[1] 

机构地区：[1]西安理工大学水利水电学院 [2]中北大学分校,山西太原030008

出　　处：《系统仿真学报》2005年第11期2649-2651,2669,共4页Journal of System Simulation

基　　金：国家自然科学基金(50079021);国家重点基础研究发展规项目(973项目)(G1999043608)

摘　　要：提出了基于遗传密码的粗粒化方法,有效的避免了过分粗粒化现象。并结合Lempel-Ziv算法复杂度,应用于黄河干流上游径流序列变化的实时跟踪和状态诊断。诊断结果表明,自然环境、人类活动及空间距离是决定径流变化的三个基本要素,且尤以人类活动影响最为直接。The coarseness method based on genetic code was proposed to avoid excessive coarseness. Combined with Lempel-Ziv calculation method complexity, it was applied to studying runoff series variety real-time tracking and state diagnoses in up-stream of the Yellow River. The result shows natural environment, human activity and space distance are basic factors deciding runoff variety, and especially direct is human activity effect.

关 键 词：遗传密码 粗粒化 径流序列 复杂性诊断 人类活动 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]