一种基于细胞外聚合物质在温度下降过程中的成分的污泥体积指数模型
Liying Liu1,2, Ke Xu1,2, Huimin Zhao1,2
1Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), Dalian, People's Republic of China.
Environmental technology
|May 26, 2025
概括
通过在冬季温度下降期间监测细胞外聚合物 (EPS) 来改善泥积聚的预测. 一个新的模型基于EPS配方准确预测污泥体积指数 (SVI),帮助废水处理厂管理.
科学领域:
- 环境科学 环境科学
- 生物技术是生物技术.
- 化学工程是化学工程的重要组成部分.
背景情况:
- 污泥积聚是污水处理厂的重要运营问题,难以预测.
- 温度波动,特别是在冬季初,可能会加剧污泥积聚的问题.
研究的目的:
- 在冷却条件下模拟污泥积聚,并分析细胞外聚合物质 (EPS) 和污泥体积指数 (SVI) 之间的关系.
- 在温度下降期间开发基于EPS组件的污泥积聚的预测模型.
主要方法:
- 在一个序列批量反应堆 (SBR) 中,在逐步冷却下模拟了泥积聚.
- 监测了EPS (可溶性微生物产品,松结合的EPS,紧密结合的EPS) 和SVI的变化.
- 相关性分析和多重线性回归 (MLR) 被用来开发一个预测模型.
主要成果:
- 在SVI和可溶性微生物产品 (SMP),松散结合EPS (LB-EPS) 和紧密结合EPS (TB-EPS) 度之间发现了正相关性.
- 开发的MLR模型解释了54.6%的SVI变化 (调整R2=0.546) 具有统计学意义 (p <0.01).
- 模型验证证实了其在捕捉EPS对SVI的影响方面的可靠性.
结论:
- 特定的EPS组件在确定SVI方面发挥着关键作用.
- 该研究提供了一种可靠的方法,用于实时监测和预测冬季温度下降期间的污泥积聚.
- 这项研究为废水处理厂运营商提供了一种实际的方法,以有效地管理污泥堆积.
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