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Air and water pollutionWater pollution pose significant threats to environmental sustainabilitySustainability and human health, driven by various anthropogenic activities. This study offers an in-depth analysis of the key origins, monitoring methods, and control strategies for addressing air and water pollution. Air pollution is largely attributed to industrial emissionsEmission, vehicular exhaust, and agricultural activities, while water pollution arises from untreated industrial effluents, agricultural activities, and improper waste disposal. Advanced monitoring systems, such as real-time sensors and Artificial Intelligence (AIArtificial Intelligence (AI))-driven models, offer enhanced capabilities for detecting pollutantsPollutants, predicting trends, and tracing pollution sources. Effective control measures, including emission reduction technologies, sustainable agricultural practices, and stringent regulatory frameworks, are critical for mitigating the adverse effects of pollution. This paper emphasizes the importance of integrating modern technologies with regulatory policies to achieve sustainable pollution management. Such approaches not only address current pollution levels but also provide proactive solutions for long-term environmental protection.

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Artificial Intelligence Application in Air and Water Pollution Management: Sources, Monitoring, and Control Measures

  • 章节

  • 发表日期：

    2025年

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  • Shivam Saw,
  • Mrinal Kanti Mandal,
  • Rohit Patel,
  • Namrata Pandey

摘要

Air and water pollutionWater pollution pose significant threats to environmental sustainabilitySustainability and human health, driven by various anthropogenic activities. This study offers an in-depth analysis of the key origins, monitoring methods, and control strategies for addressing air and water pollution. Air pollution is largely attributed to industrial emissionsEmission, vehicular exhaust, and agricultural activities, while water pollution arises from untreated industrial effluents, agricultural activities, and improper waste disposal. Advanced monitoring systems, such as real-time sensors and Artificial Intelligence (AIArtificial Intelligence (AI))-driven models, offer enhanced capabilities for detecting pollutantsPollutants, predicting trends, and tracing pollution sources. Effective control measures, including emission reduction technologies, sustainable agricultural practices, and stringent regulatory frameworks, are critical for mitigating the adverse effects of pollution. This paper emphasizes the importance of integrating modern technologies with regulatory policies to achieve sustainable pollution management. Such approaches not only address current pollution levels but also provide proactive solutions for long-term environmental protection.