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微生物作用下不同类型沉积物的起动研究

Initiation of Different Types of Sediment under Microbial Influence

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【作者】 李昕隆许峥张敏张仪萍周永潮张土乔

【Author】 LI Xin-long;XU Zheng;ZHANG Min;ZHANG Yi-ping;ZHOU Yong-chao;ZHANG Tu-qiao;College of Civil Engineering and Architecture, Zhejiang University;PowerChina Huadong Engineering Corporation Limited;

【通讯作者】 周永潮;

【机构】 浙江大学建筑工程学院中国电建集团华东勘测设计研究院有限公司

【摘要】 沉积物淤积是排水管道的主要功能性病害之一,研究微生物作用下不同类型含有机质沉积物的起动规律,定量分析主体颗粒特性对起动规律的影响,是科学控制管道功能性病害的重要基础。为此,对含有机质沉积物进行微生物培养,采用明渠水槽冲刷试验和微观观测的方法,基于黏性泥沙起动输移规律,揭示了在微生物作用下不同密度、粒径和有机质含量的不同类型含有机质沉积物的起动规律。结果表明,在微生物作用下,含有机质沉积物的抗侵蚀能力随着其密度的增大而增大,随着其粒径的增大呈现先减小后增大的趋势,其中粒径为20~40目时抗侵蚀能力最弱。此外,分别利用响应面法与BP神经网络模型建立了微生物作用下不同类型有机质含量沉积物的临界起动剪切应力公式,结果表明,两种方法的决定系数(R2)与纳什效率系数(NSE)相等,分别为99.6%和99.9%;对比两种方法的平均绝对误差(MAE)、NSE与平均绝对百分比误差(MAPE),发现响应面法具有更高的准确度。

【Abstract】 Sediment deposition represents one of the primary functional defects in drainage pipelines. Investigating the initiation characteristics of various organic-containing sediments under microbial influence and quantitatively analyzing the impact of dominant particle characteristics on these initiation characteristics constitute critical foundations for the scientific management of pipeline functional defects. In this study, microorganisms were cultured in organic-containing sediments.Furthermore, it revealed the initiation behaviors of various types of organic-containing sediments with differing densities, particle sizes, and organic matter contents under microbial influences by employing open channel flushing experiments, microscopic observation and the laws of initiation and transportation of cohesive sediments. Under the action of microorganisms, the anti-erosion capability of organic-containing sediments increased with the increase of density. However, it exhibited a trend of first decreasing and then increasing with the increase in particle size. Notably, the anti-erosion capability was the weakest for particles in the 20-40 mesh range. In addition, the critical initiation shear stress formulas for sediments with varying organic matter contents, under the action of microorganisms, were established separately using the response surface method and the BP neural network model. The coefficient of determination(R2) and Nash-Sutcliffe efficiency coefficient(NSE) values of the two methods were equal,at 99.6% and 99.9%, respectively. By comparing the mean absolute error(MAE), NSE, and mean absolute percentage error(MAPE) of the two methods, it was evident that the response surface method demonstrated higher accuracy.

【基金】 国家重点研发计划项目(2023YFC3207502)
  • 【文献出处】 中国给水排水 ,China Water & Wastewater , 编辑部邮箱 ,2025年11期
  • 【分类号】X52;TU992.23
  • 【下载频次】13
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