长江科学院院报2016，Vol.33Issue(9)：18-22,5.DOI:10.11988/ckyyb.20150792
改进的RAGA-PPC模型及其在河流健康评价中的应用
Improved RAGA-PPC Model and Its Application to River Health Assessment
摘要
Abstract
A RAGA-PPC (Real coding based Accelerating Genetic Algorithm-Projection Pursuit Classification ) model was employed to convert high dimensional data to low dimensional data and assess the health of a river in Haihe river basin.Majia River,a key river of Haihe river basin in Shandong Province,was taken as case study. Data obtained from water quality monitoring and pollution investigation in 2009-201 1 were utilized,and 12 sections were selected for the investigation.The assessment results show that the overall trend of total nitrogen and ammonia nitrogen in the whole river is growing,and also biochemical oxygen demand in the downstream area from Dadaow-ang gate to Dengji goes almost straight up.Chemical oxygen demand and biochemical oxygen demand of the river change in flood season and non-flood season,both increasing in flood season.According to comparison between the weighted value and the standard value of 5 sections,the chemical oxygen demand and biochemical oxygen demand are both between 0.22-0.15,indicating that Majia River is basically in a sub-healthy state.Furthermore,the hu-man factors and natural factors of Majia River's sub-healthy state are analyzed in the purpose of providing effective scientific basis for river health assessment and river pollution control in the Haihe River Basin.关键词
马颊河/河流健康评价/多指标/水质评价/RAGA-PPC模型Key words
Majia river/river health assessment/multiple indexes/water quality evaluation/RAGA-PPC Model分类
资源环境引用本文复制引用
李鹏程,韩春,王月敏,王甲荣..改进的RAGA-PPC模型及其在河流健康评价中的应用[J].长江科学院院报,2016,33(9):18-22,5.基金项目
水利部公益性行业科研专项经费项目（201401003）；山东省省级水利科研及技术推广项目 （）
