基于多元联系数的灌溉水质综合评价

Comprehensive assessment of irrigation water quality based on multiple connection coefficient

灌溉水质指标等级划分时的边界值确定具有不确定性,为准确判断指标值与等级标准之间的关系,基于多元联系数方法进行灌溉水质综合评价。以导电率、钠吸附比、Na2CO3、氯离子、硼作为评价指标,结合各指标的权重确定水质的多元联系数,并采用置信准则判断灌溉水质等级。实例评价结果与属性综合评价法、人工神经网络评价法、物元可拓模型法的评价结果基本一致,但更符合实际,这说明将多元联系数法用于灌溉水质评价是可行的。

The determination of boundary value in dividing index grade of irrigation water quality is uncertain.In order to judge the relationship between index value and grade standards precisely,irrigation water quality is evaluated with the method of multiple connection coefficient.The electrical conductivity,sodium adsorption ratio,Na2CO3,chlorine ion and boron were selected as evaluating indexes,the paper combined the rights of each index to determine multiple connection coefficient and used confidence criteria to judge the grade of irrigation water quality.The results were basically the same as the attribute comprehensive evaluation,artificial neural network and matter-element model in the example,and agree with the actual.This illustrated that multiple connection coefficient method is used to evaluate irrigation water quality is feasible.