基于回归分析的地下水水质预测研究

Study of Regression Analysis Model for Groundwater Quality Prediction

影响地下水水质变化的因素较多,且地下水由于水体循环周期比较长,自净能力比较脆弱,地下水一旦受到污染,就很难恢复原状,并且会对生态环境造成严重影响,直接危害人类健康,因此应对地下水资源进行监测,建立动态预测模型。根据地下水水质与其影响因素之间存在的相关关系,运用回归分析理论和方法,建立了一个基于回归分析法的地下水水质动态预测模型,并将该模型用于研究区地下水水质的动态预测。结果表明预测精度较高,建立的模型较符合研究区的实际情况。

Influencing factor of groundwater quality change is numerous, and owing to long recurrence and weak cleaning-self power, groundwater is easily polluted and resumed difficultly. And it will do damage to environment and do harm to mankind as well. So groundwater resource is supervised and dynamic model is established. According to the relationship between groundwater level and its influential factors and application of regression analysis theory and method,a model of groundwater quality dynamic prediction based on multivariate linear regression analysis is established and used for the prediction of groundwater quality. The result shows that prediction method is more precise, and accords with actual instance.