饮用水和污水处理混凝系统的新途径:综述

Cheshmekhezr S
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引用次数: 0

摘要

浑浊度和天然有机物(NOMs)会导致饮用水的气味、颜色和味道发生变化,同时也会增加水和废水中细菌生长的担忧。本文旨在回顾混凝过程,并介绍可能的方法,可以帮助水和废水管理部门提出最佳的混凝剂选择。混凝是一种物理化学过程,用于常规处理过程中,以减少浊度,悬浮颗粒和NOMs。硫酸铝(明矾)和氯化铁是最常用的化学混凝剂。然而,处理后的水和废水中残留的污泥和额外剂量的化学混凝剂存在一些健康问题,例如增加阿尔茨海默病和癌症的风险。天然混凝剂可以减少化学混凝剂和残留污泥的剂量,从而降低健康风险。天然混凝剂在减少pa颗粒方面是有效的,与化学混凝剂一起使用或单独使用。在水和废水处理中选择最佳工艺的多维性使得选择具有最小健康风险的最佳混凝剂变得困难。因此,我们需要一个系统的框架来模拟凝血过程和选择成本有效的凝血剂,以降低健康风险。数学建模和健康风险评估是选择最佳范围和跟踪残差的两种方法,有助于降低健康风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Approaches in Drinking Water and Wastewater Treatment Coagulation System: A Mini - Review
Turbidity and natural organic matters (NOMs) cause change in odor, color, and taste of drinking water as well as increasing the concern of bacterial growth in water and wastewater. This article aims to review the coagulation process and to introduce the po tential approaches that can help the water and wastewater authorities to come up with the best coagulant selection. The coagulation is a physicochemical process that is used in the conventional treatment process to reduce turbidity, suspended particles, an d NOMs. Aluminum sulfate (alum) and ferric chloride are the most common coagulants that are used as chemical coagulants. However, there are some health concerns associated with the residual sludge and extra dose of chemical coagulants in treated water and wastewater such as increasing risk of Alzheimer and cancer. Natural Coagulants could be an alternative to reduce the dose of chemical coagulants and residual sludge and consequently reducing the health risks. Natural coagulants are effective in reducing pa rticles, alongside the chemical coagulants or as a stand - alone process. The multidimensional nature of choosing the best process in water and wastewater treatment makes it difficult to select the best coagulant with the minimum health risk. Therefore, we n eed a systematic framework for modeling the coagulation process and selecting cost - efficient coagulant(s) to reduce health risk. Mathematical modeling and health risk assessment are two of the approaches that can be used to select the optimum range and tra ck the residual and found to be helpful for the health risk reduction.
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