基于BP神经网络的齐齐哈尔地区地下水水质评价

阐述了人工神经网络基本原理,介绍了BP网络的地下水水质评价模型.在传统的评价方法基础上,根据各评价因子对环境和人类影响程度不同,给水质监测指标分组,从实用角度对水质进行评价.与传统评价方法相比,该评价模型在某评价因子数值极大的情况下,也能准确反映地下水的污染情况,并且通过GIS技术利用评价结果得到地下水水质分布图,从空间反映地下水水质变化规律.

Groundwater Quality AssessmentBased on BP NeuralNetwork in Q iqihar District

A BP network model of groundwater quality assessment based on the calculation of BP neural network is presented, On the basis of traditional assessment method and the difference among the evaluated indicators affecting environment and humanlife, water quality indexes are classified in groups so that the groundwater quality can be assessed from a practical point of view. Compared with traditional assessments, this method can describe the pollution situation of groundwater at the case of great amount of a certain evaluated data. And the water quality distribution maps are gained using GIS, which can reflect the quality change of groundwater in the space.