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黄河宁夏段的水质状况对宁夏居民饮用水安全和黄河流域的污染治理具有重要意义，为了了解黄河宁夏段的水质状况，选取黄河宁夏段下河沿断面、银古公路桥断面和陶乐渡口断面的 2012 和 2013 年 2 月、4 月、6 月、8 月、10 月和 12 月的水质监测数据，针对贝叶斯模型存在的不确定性缺陷，运用基于熵权的贝叶斯水质模型，选取 DO、CODMn、NH4+-N、BOD5 和 COD等 5 个因子作为评价指标，对黄河宁夏段进行水质评价并研究其水质时空变化规律。结果表明，基于熵权的贝叶斯水质模型评价结果合理、可靠；其中，COD、NH4+-N 是主要污染物，水质以 II、III 类为主，水质状况总体较好，时间变化为夏季最好，春秋次之，冬季最差；空间变化为从宁夏段上游到下游，水质逐渐变差。
The Yellow River Ningxia section of the water quality of Ningxia residents drinking water safety and pollution control of the Yellow River Basin is of great significance. In order to understand the Yellow River Ningxia section of the water quality, select the Yellow River Ningxia section of the river, Yinugu Bridge section and the section 2012 and February, April, June, August, October and December 2013, aiming at the uncertainty of the Bayesian model, using the Bayesian water quality model based on the entropy weight, DO, CODMn, NH4 + -N, BOD5 and COD were used as evaluation indexes to evaluate the water quality of Ningxia section of the Yellow River and study the temporal and spatial variation of its water quality. The results show that Bayesian water quality evaluation based on entropy weight is reasonable and reliable. Among them, COD and NH4 + -N are the main pollutants, and the water quality is mainly Class II and III. The water quality is generally good and the time change is summer Good, followed by spring and autumn, winter is the worst; space changes from upstream to downstream Ningxia section, water quality gradually worsened.