污水处理厂过程可靠性和废水再利用的建模

IF 1 Q4 ENGINEERING, ENVIRONMENTAL Journal of Environmental Engineering and Science Pub Date : 2023-10-12 DOI:10.1680/jenes.23.00074
Omar A Refaat, Mohamed F Hamoda
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引用次数: 0

摘要

污水处理厂(WWTP)的性能评价是重要的,以确定该工厂是否产生可接受的处理出水满足水质标准的回用。为了优化电厂性能和选择最佳运行策略,需要对污水处理厂进行建模。本研究使用BioWin软件模拟了科威特Kabd污水处理厂。该工厂每天接收18万立方米的生活污水,包括一级、二级(活性污泥)和三级处理阶段。2013-2018年从污水处理厂获得的每日数据用于模拟稳态运行下的工厂性能。该模型能准确地描述工厂的运行情况,并能准确地预测所检测条件下的出水特性。化学需氧量(COD)、生化需氧量(BOD)和总悬浮物作为表征废水的主要参数,预测值与实测值呈高度相关(r2 = 0.95 ~ 0.99)。三级处理后的出水水质基本满足灌溉回用的水质标准。使用该模型可以帮助确保污水质量符合当地的环境标准。析因分析表明,COD和BOD是描述植物性能最重要的参数。信度分析结果表明,在95%的信度水平上,变异系数较低(0.328),可靠性系数较高,为0.631,表明植株性能高度稳定。建议在评估工厂绩效时包括可靠性分析,以证明工厂生产符合环境当局规定的污水的能力的一致性。
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Modelling of a wastewater-treatment plant for process reliability and effluent reuse
Evaluation of wastewater-treatment plant (WWTP) performance is important to determine whether the plant produces an acceptable treated effluent satisfying the water quality standards for reuse. Modelling of WWTPs is required for optimising plant performance and choosing the optimum operation strategy. This study simulated the Kabd WWTP in Kuwait using the BioWin software. The plant receives 180 000 m 3 /day of domestic wastewater and comprises primary, secondary (activated sludge) and tertiary treatment stages. Daily data obtained from the WWTP during 2013–2018 were used for modelling plant performance under steady-state operation. The model could describe plant operation and accurately predict the effluent characteristics for the conditions examined. A high correlation (R 2 = 0.95–0.99) was obtained between the predicted and actual values of chemical oxygen demand (COD), biochemical oxygen demand (BOD) and total suspended solids as main parameters characterising wastewater. The tertiary-treated effluent consistently satisfied the water quality criteria for reuse in irrigation. Using the model could aid in securing compliance of effluent quality with the local environmental standards. Factorial analysis revealed that COD and BOD are the most important parameters describing plant performance. Reliability analysis showed that the coefficient of variability was low (0.328) at a level of reliability of 95%, leading to a high coefficient reliability of 0.631, which indicates a highly stable plant performance. It is recommended to include reliability analysis in evaluating plant performance to demonstrate consistency in the ability of the plant to produce effluents satisfying requirements set by environmental authorities.
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来源期刊
CiteScore
1.60
自引率
0.00%
发文量
20
审稿时长
12 months
期刊介绍: Journal of Environmental Engineering and Science is an international, peer-reviewed publication providing a forum for the dissemination of environmental research, encouraging interdisciplinary research collaboration to address environmental problems. It addresses all aspects of environmental engineering and applied environmental science, with the exception of noise, radiation and light.
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