摘要
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。【目的】了解黄河宁夏段的水质状况。【方法】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年和2013年2、4、6、8、10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、NH_4^+-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】COD、NH_4^+-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。【结论】基于熵权的贝叶斯水质模型评价结果合理、可靠。
The water quality of the Yellow River in Ningxia section is of great importance for drinking water safety and pollution abatement in the Yellow River basin.【Objective】Understand the water quality of the Yellow River in Ningxia section.【Method】The water quality monitoring data in February,April,June,August,October and December in 2012 and 2013 were collected from Xiaheyan section,Yinggugonglu section and Taoledukou section.Since there was a great defect of uncertainty exists in Bias models,the Bias model of water quality based on entropy weight was used,five factors（DO,COD_（Mn）,NH_4~＋-N,BOD5 and COD） were selected to evaluate the water quality of the Yellow River in Ningxia section and study the temporal and spatial variation of the water quality.【Result】The results showed that COD and NH_4~＋-N were the main pollutants of the water quality; the water quality was generally good and was mainly Grade Ⅱ or Ⅲ; the water quality was the best in summer,followed by spring and autumn,and the worst was in winter; and the water quality gradually deteriorated from upstream to downstream in Ningxia section.【Conclusion】The evaluation results of Bayesian model based on entropy weight are reasonable and reliabie.
作者
杨咪
屈文岗
钱会
YANG Mi;QU Wengang;QIAN Hui(College of Environmental Science and Engineering, Chang＇ an University, Xi＇ an 710054, China;Key Laboratory of Subsurface Hydrology and Ecology in Arid Areas, Ministry of Education, Xi＇ an 710054, China)
出处
《灌溉排水学报》
CSCD
北大核心
2018年第1期85-90,共6页
Journal of Irrigation and Drainage
基金
银川平原地下水对条件变化的响应机制及合理开发利用研究(41172212)
关键词
黄河宁夏段
水质评价
贝叶斯
熵权法
时空变化
Yellow River Ningxia section
water quality evaluation
Bayesian
entropy method
temporal andspatial variation
