遗传算法优化分段进水生物脱氮工艺的流量分配  

Application of Genetic Algorithms for Influent Flow Distribution in Step-feed Biological Nitrogen Removal System

作　　者：鞠兴华 王社平[1] 王怡[1] 彭党聪[1] 

机构地区：[1]西安建筑科技大学环境与市政工程学院

出　　处：《中国给水排水》2006年第21期89-92,共4页China Water & Wastewater

基　　金：国家自然科学基金资助项目(50138020)

摘　　要：以四级分段进水生物脱氮工艺为例,探讨了遗传算法在该工艺进水流量优化分配中的应用。在确定的工艺参数和进水水质条件下,以出水水质模拟值与控制出水水质间的最小误差为目标函数,得到各级进水流量分配比分别为37.2%、27.4%、23.2%和12.2%。将此结果应用于处理实际污水的中试试验,可获得较高的对污染物的去除率。The application of the genetic algorithms for the influent flow optimized distribution in the four stage step-feed biological nitrogen removal （BNR） pilot-scale system was discussed. Under decided process parameters and influent water quality conditions, the objective function is based on the least errors of wastewater quality. The optimized parameter for influent flow distribution ratios are 37.2% , 27.4%, 23.2% and 12.2% respectively. According to the optimization results and raw wastewater pilotscale experiment, the removal efficiencies for pollutants are higher.

关 键 词：遗传算法 生物脱氮 分段进水 流量分配 

分 类 号：X703.1[环境科学与工程—环境工程]