透视图(图形)
纳米-
理论(学习稳定性)
纳米技术
分布(数学)
材料科学
环境科学
计算机科学
工程类
数学
人工智能
化学工程
机器学习
数学分析
作者
Peiyuan Luo,Tianzhi Wang,Fawei Lin,Aibao Luo,Manuel Fiallos,Ahmed Khaled Abdella Ahmed,Soon‐Thiam Khu
标识
DOI:10.1016/j.scitotenv.2024.176615
摘要
Microorganisms thriving in drinking water distribution system (DWDS) reduces biological stability of water, causing numerous threats to residents' drinking water safety. Traditional disinfection methods have intrinsic drawbacks, including microbial reactivation and byproduct formation, leading to waterborne diseases. Thus, effective disinfection techniques are required to ensure the microorganism's inactivation and enhance biological stability. Micro-nano bubbles (MNB) provide a promising result to these issues. This study simulates the hydraulic conditions of the tank of DWDS to investigate the enhancement of biological stability in the tank using MNBs with distinct gas sources. The analysis focused on water quality characteristics, biological stability indicators, and microbial community composition. The results showed that the dissolved gas method could generate abundant bubbles with a particle size below 1000 nm, with a concentration exceeding 10
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