一维河流水团示踪试验数据的模糊线性回归

摘要

In this study, the fuzzy linear regression (FLR) method was applied to estimate the water quality parameters by analyzing the tracer test data of rivers, A FLR model, which can be used to determine the value range of water quality parameters under different confidence levels, was established. The results indicate that this model can be used to determine the water quality parameters efficiently, The model was also found to be stable, reliable, and flexible during the calculation process. Therefore, this model is an effective way to analyze the water mass tracer test data and to determine the water quality parameters of rivers.%将模糊线性回归的概念引入分析河流水团示踪试验数据、确定河流水质参数的计算过程中,建立计算河流水质参数的模糊线性回归模型,利用该模型能计算出不同置信水平下水质参数的取值范围.算例验证结果表明,应用模糊线性回归模型可以有效地确定河流的水质参数,且计算过程具有一定的稳定性、可靠性和灵活性,模糊线性回归模型是分析河流水团示踪试验数据、确定河流水质参数的一种有效的途径.