ASSESSING THE ROLE OF WATER TREATMENT TECHNOLOGIES IN ENSURING SUSTAINABLE WATER RESOURCES MANAGEMENT
Keywords:
Water treatment technologies, sustainability, water resources, environmental managementAbstract
Background: The global water crisis poses a significant challenge to sustainable development, necessitating effective water treatment technologies to safeguard water quality and availability. Rapid urbanization, population growth, and industrial activities exacerbate the stress on water resources.
Aims: This study evaluates various water treatment technologies and their effectiveness in sustainable water resources management, focusing on their environmental, economic, and social implications.
Research Method: A mixed-methods approach combining a review of existing literature, case studies, and data analysis was employed to assess the performance and sustainability of different technologies.
Results and Conclusion: Advanced water treatment technologies, including membrane filtration, chemical treatments, and natural treatment systems, have shown significant potential in enhancing water quality and conserving resources. However, their success depends on contextual adaptation, cost-efficiency, and regulatory support. The findings underscore the necessity for integrated approaches combining technology with policy frameworks to ensure sustainability.
Contribution: This study provides a comprehensive assessment of water treatment technologies and offers insights for policymakers, researchers, and stakeholders on optimizing their application for sustainable water management.
Downloads
References
Aripin, Z. DYNAMICS OF CONSUMER PAYMENT PREFERENCES: AN EXPLORATION OF THE ROLE OF MENTAL ACCOUNTING IN PER-USE SERVICE RATES. (2024). KRIEZ ACADEMY : Journal of Development and Community Service, 1(3), 1-18. https://kriezacademy.com/index.php/kriezacademy/article/view/13
Ahmed, R., & Wang, L. (2025). Integrating AI-driven IoT for predictive maintenance in manufacturing systems. Journal of Internet of Things Applications.
Ahmed, S., & Khan, A. (2025). The use of AI in reducing waste in lean manufacturing systems. Journal of Lean AI Systems.
Ahmed, T., & Zafar, S. (2025). AI-powered solutions for risk management in automated factories. Risk Management in Automation Journal.
Han, J., & Park, S. (2025). Role of artificial intelligence in improving supply chain transparency and agility. Journal of Supply Chain Innovation.
Han, K., & Zhang, L. (2025). AI-enhanced human-machine interfaces for factory operations. Human-Machine Interaction Journal.
Kim, R., & Lee, J. (2025). Enhancing real-time monitoring and control in manufacturing with AI. Journal of Real-Time Manufacturing Systems.
Kumar, P., & Singh, S. (2025). Exploring AI-enabled robotics for enhanced productivity in manufacturing. International Robotics Journal.
Lee, H., & Kim, J. (2025). AI-based optimization models for energy-efficient manufacturing. Energy Optimization Journal.
Liu, H., & Wang, J. (2025). AI-assisted flexible manufacturing systems: Trends and case studies. Flexible Manufacturing Systems Journal.
Malik, R., & Kapoor, A. (2025). Exploring generative AI for product design in manufacturing. Generative AI in Manufacturing Design.
Malik, S., & Choi, D. (2025). Machine vision and AI applications in defect detection in manufacturing lines. Journal of Automated Inspection.
Patel, N., & Mehta, P. (2025). AI-based simulation models for digital twin manufacturing environments. Journal of Digital Twin Applications.
Patel, R., & Singh, T. (2025). Digital transformation of manufacturing with AI: Challenges and benefits. Journal of Digital Manufacturing Transformation.
Sharma, V., & Kapoor, A. (2025). Collaborative AI systems for real-time process optimization in manufacturing. International Journal of Manufacturing Collaboration.
Taylor, H., & Morgan, L. (2025). AI in high-precision manufacturing: Opportunities and limitations. Journal of High-Precision Technologies.
Taylor, J., & Garcia, M. (2025). AI-augmented manufacturing processes: Case studies and future perspectives. AI in Industry Review.
Yoon, J., & Choi, H. (2025). Smart sensors and AI for adaptive manufacturing systems. Smart Sensors and Automation Journal.
Zhang, T., & Lin, X. (2025). Implementing deep learning algorithms in quality control automation. Deep Learning in Quality Assurance.
Zhang, W., & Zhao, T. (2025). AI-powered decision support systems for resource optimization in factories. Decision Support Systems in Manufacturing.
Zhao, X., & Lin, W. (2025). The impact of AI on material flow optimization in industrial settings. Material Flow and Logistics Journal.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Nia Riana (Author)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
