渭河宝鸡段水环境质量的BP人工神经网络分析

选取代表地表水环境质量的五日生化需氧量(BOD5)、化学需氧量(COD)、高锰酸盐指数、氟化物、氨氮(NH3-N)、总磷(TP)和总氮(TN)等7个指标和地表水环境质量标准(GB 3838-2002)建立地表水环境质量评价的BP人工神经网络模型,利用训练好的模型对2009年渭河宝鸡段6个过水断面的水环境质量进行综合评价,结果表明,林家村和胜利桥断面的水环境质量分别为Ⅰ类和Ⅱ类标准,其余4个断面的水环境质量均为Ⅲ类标准.

Analysis of Water Environmental Quality in Weihe River Baoji Segment Using BP Artificial Neural Network

The BP artificial neural network model is constructed with the surface water quality standard(GB 3838-2002) and the surface water quality items,such as BOD5(5 day biochemical oxygen demand),COD(chemical oxygen demand),permanganate index,fluoride,NH3-N,TP(total phosphorus) and TN(total nitrogen),and the water environmental quality evaluation is conducted using the trained BP artificial neural network with the water contamination concentration data in 6 sections of Weihe River Baoji segment in year 2009.Results show that the water quality were GradeⅠand GradeⅡ in Linjia Village section and Shengli Bridge section,and Grade Ⅲ in the rest sections.