LIXin-long,XU Zheng,ZHANGMin,et al.Initiation of Different Types of Sediment under Microbial Influence[J].China Water & Wastewater,2025,41(11):130-136.
Initiation of Different Types of Sediment under Microbial Influence
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第41卷
Number:
第11期
Page:
130-136
Column:
Date of publication:
2025-06-01
- Keywords:
- （1. College of Civil Engineering and Architecture; Zhejiang University; Hangzhou 310058; China; 2. PowerChina Huadong Engineering Corporation Limited; Hangzhou 311122; China）
- 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.
Last Update:
2025-06-01