一种用于识别有氧颗粒污泥状态的新方法,在沉过程中使用分类,密集和澄清动态来识别有氧颗粒污泥状态.
Zhi-Hua Li1, Ruo-Lan Wang1, Meng Lu1
1Key Laboratory of Northwest Water Resource, Environment, and Ecology, MOE, School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China; Xi'an Key Laboratory of Intelligent Equipment Technology for Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Water research
|February 21, 2024
概括
来自沉图像的动态纹理预测有氧颗粒性污泥的稳定性. 这种方法提供了一个强大的,基于生物学的方法来监测废水处理过程,并确保运营效率.
科学领域:
- 环境科学 环境科学
- 生物技术是生物技术.
- 废水处理 废水处理
背景情况:
- 有氧颗粒污泥是废水处理的关键技术.
- 保持有氧颗粒污泥的稳定性仍然是一个重大挑战.
- 预测颗粒污泥的状态对于稳定的运行至关重要.
研究的目的:
- 探索从沉图像中获得的动态纹理作为颗粒性污泥状态的预测工具.
- 评估沉动态和颗粒特征之间的关系.
- 为颗粒性污泥开发一种基于生物的监测方法.
主要方法:
- 利用动态纹理,从沉图像中获得.
- 在传统的加厚,澄清和颗粒分类过程中分析了颗粒的行为.
- 与呼吸图数据 (特定的内源性和准内源性呼吸速率) 相关的纹理变特征.
主要成果:
- 沉过程中的快速颗粒分类表明稳定的有氧颗粒污泥.
- 在分类时间和颗粒异质性之间发现了明确的关系.
- 动态纹理的特征与呼吸速率有很高的相关性 (R2 = 0.860.91).
- 使用动态纹理的分类准确度超过了0.90,超过了传统特征.
结论:
- 动态纹理是预测有氧颗粒性污泥稳定性的有希望的工具.
- 这种方法提供了一种基于生物学的方法来监测处理过程.
- 这些发现支持开发可靠的工具,以保持稳定的颗粒型污泥运行.
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