Integrated sequential fuzzy logic search models for simulating wastewater treatment plants missing influent parameters

IF 1.7 4区环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES

Water and Environment Journal Pub Date : 2022-12-08 DOI:10.1111/wej.12836

Taher Abunama, Mohammed Seyam, Mozafar Ansari, S. Kumari, F. Bux

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引用次数: 0

Abstract

Aiming at achieving optimum operations of wastewater treatment plant (WWTP) processes, it is essential to develop accurate predictive models for expected influent pollutant loads. To overcome limited timespan data and model complexity, this study is devoted to propose an integration of inputs' sequential search with the adaptive neuro‐fuzzy inference system (ANFIS) for reducing the modelling complexity. The input data included nine influent parameters measured bi‐weekly for 12 years at a WWTP, South Africa (SA). The sequential search process was used for input optimization to select the most representative inputs in modelling four parameters. The obtained results indicated a strong correlation with R2 and NSE above 0.85 for the four targeted influent parameters. After validating the developed models using different criteria, the missing records were predicted throughout the study period. The integration of sequential search input optimization and ANFIS modelling was able to provide a high performance in modelling WWTP datasets.

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用于模拟缺少进水参数的污水处理厂的集成序列模糊逻辑搜索模型

为了实现污水处理厂（WWTP）工艺的优化运行，开发准确的进水污染物负荷预测模型至关重要。为了克服有限的时间跨度数据和模型复杂性，本研究致力于提出将输入的顺序搜索与自适应神经模糊推理系统（ANFIS）相结合，以降低建模复杂性。输入数据包括9个进水参数，每两周测量12个在南非污水处理厂（SA）工作了数年。顺序搜索过程用于输入优化，以在建模四个参数时选择最具代表性的输入。所获得的结果表明，对于四个目标进水参数，R2和NSE在0.85以上具有很强的相关性。在使用不同的标准验证了开发的模型后，在整个研究期间预测了缺失的记录。顺序搜索输入优化和ANFIS建模的集成能够在污水处理厂数据集建模中提供高性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Water and Environment Journal 环境科学-湖沼学

CiteScore

4.80

自引率

0.00%

发文量

审稿时长

18-36 weeks

期刊介绍： Water and Environment Journal is an internationally recognised peer reviewed Journal for the dissemination of innovations and solutions focussed on enhancing water management best practice. Water and Environment Journal is available to over 12,000 institutions with a further 7,000 copies physically distributed to the Chartered Institution of Water and Environmental Management (CIWEM) membership, comprised of environment sector professionals based across the value chain (utilities, consultancy, technology suppliers, regulators, government and NGOs). As such, the journal provides a conduit between academics and practitioners. We therefore particularly encourage contributions focussed at the interface between academia and industry, which deliver industrially impactful applied research underpinned by scientific evidence. We are keen to attract papers on a broad range of subjects including: -Water and wastewater treatment for agricultural, municipal and industrial applications -Sludge treatment including processing, storage and management -Water recycling -Urban and stormwater management -Integrated water management strategies -Water infrastructure and distribution -Climate change mitigation including management of impacts on agriculture, urban areas and infrastructure