三角模糊数优化的贝叶斯水质模型评价方法研究——以太湖竺山湾缓冲带湿地水质评价为例

发布时间：2018-06-17 17:20

  本文选题：三角模糊数 + 贝叶斯水质模型　； 参考：《环境污染与防治》2016年11期

【摘要】：用三角模糊数表征参评的水质指标浓度,并进行α截集处理,将经过处理的区间数代入传统的贝叶斯水质模型,建立了三角模糊数优化的贝叶斯水质模型评价方法。该方法综合了三角模糊数和贝叶斯水质模型的共同优点,考虑了水质监测过程中的误差,通过计算各采样点水质对不同水质级别的隶属度,再判定水质级别。将该方法应用于太湖竺山湾缓冲带湿地,结果表明:竺山湾缓冲带湿地水体水质为Ⅲ~Ⅳ类,未能达到Ⅰ类水质目标的要求;水体TN和COD污染较严重,在缓冲带生态建设和功能修复工作中应重点关注氮和有机物污染。
[Abstract]:The concentration of water quality index was represented by triangular fuzzy number, and the 伪 -cut set was processed. The treated interval number was substituted into the traditional Bayesian water quality model, and the Bayesian water quality model evaluation method with triangle fuzzy number optimization was established. This method combines the common advantages of triangular fuzzy number and Bayesian water quality model, and considers the errors in the process of water quality monitoring, and then determines the water quality grade by calculating the membership degree of water quality of each sampling point to different water quality levels. The results show that the water quality in the buffer zone of Zhushan Bay is 鈪，

本文编号：2031848