School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Shaanxi Province, Xi'an, 710055, China.
Beijing Water Science and Technology Institute, Beijing, 100048, China.
Environ Monit Assess. 2024 Feb 26;196(3):307. doi: 10.1007/s10661-024-12486-5.
As the initial stage of the sewage treatment system, the degradation of pollutants inevitably involves an entropy change process. Microorganisms play a vital role, where they interact with pollutants and constantly adjust own ecosystem. However, there is a lack of research on the entropy change and external dissipation processes within the sewer system. In this study, considering the characteristics of microbial population changes in the biofilm within the urban sewage pipe network, entropy theory is applied to characterize the attributes of different microorganisms. Through revealing the entropy change of the microbial population and chemical composition, a coupling relationship between the functional bacteria diversity, organic substances composition, and external dissipation in the pipeline network is proposed. The results show that the changes of nutrient availability, microbial community structure, and environmental conditions all affect the changes of information entropy in the sewer network. This study is critical for assessing the understanding of ecological dynamics and energy flows within these systems and can help researchers and operation managers develop strategies to optimize wastewater treatment processes, mitigate environmental impacts, and promote sustainable management practices.
作为污水处理系统的初始阶段,污染物的降解不可避免地涉及熵变过程。微生物在此过程中发挥着重要作用,它们与污染物相互作用,并不断调整自身的生态系统。然而,对于污水系统内部的熵变和外部耗散过程,相关研究还相对较少。在本研究中,考虑到城市污水管网中生物膜内微生物种群变化的特点,我们应用熵理论来描述不同微生物的属性。通过揭示微生物种群和化学成分的熵变,提出了管网中功能细菌多样性、有机物组成和外部耗散之间的耦合关系。结果表明,营养物质的可用性、微生物群落结构和环境条件的变化都会影响污水管网中信息熵的变化。本研究对于评估对这些系统内生态动力学和能量流的理解具有重要意义,并有助于研究人员和运营管理人员制定优化废水处理过程、减轻环境影响和促进可持续管理实践的策略。