推进污泥膨胀控制在废水处理:检测,识别和战略干预的全面审查

Han-Jun Sun , Shan-Shan Yang , Yi-Lin Zhao , Ying Chen , Tong Wu , Le Zhong , Chen-Hao Cui , Meng-Qi Ding , Min Liu , Ji-Wei Pang , Lu-Yan Zhang , Ding-Ding Tang , Yan Zhou , Qiong Qin , Xiao-Qing Dong , Nan-Qi Ren , Jie Ding
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引用次数: 0

摘要

污泥膨胀的特点是污泥沉降性差和丝状细菌不受控制的增殖,对活性污泥(AS)工艺的效率提出了重大挑战。采用文献计量学方法浏览最近的文献,本文献综述深入研究了污泥膨胀的检测、鉴定和控制策略的最新进展,强调了现代诊断工具的作用,如荧光原位杂交、聚合酶链反应和高通量测序。这些方法彻底改变了我们对微生物群落的理解,为它们的动态和相互作用提供了详细的见解。在复杂的显微镜和计算技术的帮助下,定量图像分析已经成为检查絮凝体特征和量化丝状细菌的有力工具,提高了污泥膨胀检测的精度。本文强调将操作数据与机器学习和统计方法相结合,以提高预测准确性,这对于污泥膨胀的早期发现和有效管理至关重要。它评估了一系列控制策略——从化学到生物和物理方法——强调了新兴技术的潜力,如quorum淬火和磁场在解决污泥膨胀问题方面的潜力。通过采用多学科的方法,结合微生物生态学,工艺工程和技术创新,手稿提供了污泥膨胀挑战的整体视角。它显示了综合的、多方面的战略的重要性,考虑AS系统内的生态平衡,以实现对污泥膨胀的长期控制。这篇综述不仅综合了目前的知识状况,而且还确定了差距,为未来的研究奠定了基础,旨在开发可持续的解决方案,以提高废水处理厂的可靠性和性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Advancing sludge bulking control in wastewater treatment: A comprehensive review of detection, identification, and strategic interventions

Advancing sludge bulking control in wastewater treatment: A comprehensive review of detection, identification, and strategic interventions
Sludge bulking, characterized by poor sludge settleability and unchecked proliferation of filamentous bacteria, poses a significant challenge to the efficiency of the activated sludge (AS) process. Employing bibliometric methods to navigate through recent literature, this literature review delves into the latest advancements in detection, identification, and control strategies for sludge bulking, highlighting the role of modern diagnostic tools, such as fluorescence in situ hybridization, polymerase chain reaction, and high-throughput sequencing. These methodologies have revolutionized our understanding of microbial communities, offering detailed insights into their dynamics and interactions. Quantitative image analysis, facilitated by sophisticated microscopy and computational techniques, has emerged as a powerful tool for examining floc characteristics and quantifying filamentous bacteria, enhancing the precision of sludge bulking detection. This review emphasizes the integration of operational data with machine learning and statistical methods to refine predictive accuracy, which is crucial for early detection and effective management of sludge bulking. It evaluates a range of control strategies—from chemical to biological and physical methods—underscoring the potential of emerging technologies, such as quorum quenching and magnetic fields in addressing sludge bulking issues. By adopting a multidisciplinary approach that incorporates microbial ecology, process engineering, and technological innovations, the manuscript offers a holistic perspective on sludge bulking challenges. It shows the importance of integrated, multifaceted strategies that consider the ecological balance within AS systems to achieve long-term control of sludge bulking. This review not only synthesizes the current state of knowledge but also identifies gaps, setting the stage for future research aimed at developing sustainable solutions to enhance the reliability and performance of wastewater treatment plants.
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