Transforming water quality monitoring for advancements in sustainable resource management

Document Type : Review

Author

• Mahendra Aryal

Department of Chemistry, Tribhuvan University, Kathmandu, Nepal

10.22034/iar.2024.2008906.1729

Abstract

Water quality monitoring is a fundamental component of sustainable management of water resources. This review outlines the progression of water quality assessment, transitioning from traditional methodologies to advanced technologies such as remote sensing, nanotechnology, sensor networks, and artificial intelligence. It emphasizes the transformative potential of integrating big data analytics to enhance accuracy, transparency, and decision-making processes. The study addresses critical global issues, including transboundary water conflicts, complexities in data management, and the emergence of contaminants. Additionally, the study employs case studies to illustrate the practical application of these technologies, offering actionable recommendations for their integration into sustainability governance frameworks. This review highlights the interconnectedness of advanced technologies, community engagement, and regulatory frameworks in pursuing sustainable water resource management, serving as a guide for researchers, policymakers, practitioners, and communities dedicated to preserving water resources.

Keywords

• Water Quality
• Contaminants
• Advanced Technologies
• Community Engagement
• Sampling techniques
• Environmental Sustainability

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