Digitalization for sustainable wastewater treatment: a way forward for promoting the UN SDG#6 ‘clean water and sanitation’ towards carbon neutrality goals

被引：0

作者：

Tonni Agustiono Kurniawan ^{[1
]}

Ayesha Mohyuddin ^{[2
]}

Joan Cecilia C. Casila ^{[3
]}

Prakash Kumar Sarangi ^{[4
]}

Hussein Al-Hazmi ^{[5
]}

Yusuf Wibisono ^{[6
]}

Tutuk Djoko Kusworo ^{[7
]}

Md Munir Hayet Khan ^{[8
]}

Soufiane Haddout ^{[9
]}

机构：

[1] Xiamen University,College of Ecology and the Environment

[2] University of Management and Technology,Department of Chemistry, School of Science

[3] University of the Philippines-Los Baños,Land and Water Resources Engineering Division

[4] Central Agricultural University,College of Agriculture

[5] Gdańsk University of Technology,Department of Sanitary Engineering

[6] Universitas Brawijaya University,Department of Bioprocess Engineering, Faculty of Agricultural Technology

[7] Diponegoro University,Department of Chemical Engineering

[8] INTI International University,Faculty of Engineering & Quantity Surveying

[9] Ibn Tofail University,Faculty of Science, Department of Physics

来源：

Discover Water | / 4卷 / 1期

关键词：

Big data; Climate change; Carbon neutrality; Digitalization; Net zero emissions;

D O I：

10.1007/s43832-024-00134-5

中图分类号：

学科分类号：

摘要：

This paper investigates the role of digitalization in enhancing wastewater treatment processes, emphasizing its potential to optimize resource utilization, reduce energy consumption, and improve water quality. By examining the implementation of digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML), the study demonstrates how these tools enable real-time monitoring, predictive maintenance, and intelligent decision-making in wastewater treatment operations. The paper provides a comparative analysis based on key performance indicators (MAPE, RMSE, R2) to evaluate the effectiveness of these digital solutions. Additionally, it discusses the benefits and challenges associated with integrating digital tools in wastewater treatment plants (WWTPs), including cost, complexity, and data security concerns. The study also addresses the impact of digitalization on carbon neutrality goals, highlighting how data-driven approaches can enhance resource allocation and management. By offering insights into current practices and future directions, this paper aims to contribute to the advancement of sustainable wastewater treatment and support the achievement of UN SDG#6, ensuring clean water and sanitation for all.

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