A Critical Review of SCADA Integration in Water Treatment Plants for Smart Water Management
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Abstract
Clean water is a vital necessity for human life, industry, and environmental sustainability. Along with increasing urbanization, population growth, and climate change, modern water management systems face various challenges including distribution leakage, declining water quality, high energy consumption, and low operational efficiency at Water Treatment Plants (WTP). Conventional water treatment systems are considered insufficient to meet real-time monitoring and control requirements, necessitating digital transformation through the implementation of Supervisory Control and Data Acquisition (SCADA) technology. This critical review aims to analyze SCADA integration in Water Treatment Plants as part of digital transformation in smart water management. The method employed was a literature review with a qualitative approach examining various national and international journals related to SCADA, Internet of Things (IoT), Artificial Intelligence (AI), and smart water management. The findings indicate that SCADA integration enhances operational efficiency, water quality monitoring accuracy, automated process control, reduced human error, faster leak detection, and supports real-time data-driven decision-making. Furthermore, the combination of SCADA with IoT and AI technologies forms the foundation for modern smart water management that is more efficient, adaptive, and sustainable. However, SCADA implementation still faces challenges including high investment costs, cybersecurity threats, system interoperability, and the need for competent human resources. Therefore, the development of integrated SCADA systems represents a strategic step in enhancing water resource management security and sustainability in the future
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References
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