Thesis Abstract

Agricultural water pollution poses a significant threat to the environment and human health. This abstract focuses on the monitoring and control of agricultural water pollution, aiming to provide an overview of the key strategies and technologies used to mitigate this issue. It explores the various sources of agricultural water pollution, including nutrient runoff, pesticide contamination, and sedimentation. The abstract also discusses the importance of monitoring programs in identifying pollution hotspots and assessing the effectiveness of pollution control measures. Furthermore, it highlights the use of advanced technologies such as remote sensing, GIS (Geographic Information System), and water quality sensors for real-time monitoring and early warning systems. The abstract concludes by emphasizing the need for integrated approaches that combine best management practices, policy interventions, and stakeholder engagement to effectively control agricultural water pollution. Agricultural water pollution poses a significant threat to the environment and human health. This abstract focuses on the monitoring and control of agricultural water pollution, aiming to provide an overview of the key strategies and technologies used to mitigate this issue. It explores the various sources of agricultural water pollution, including nutrient runoff, pesticide contamination, and sedimentation. The abstract also discusses the importance of monitoring programs in identifying pollution hotspots and assessing the effectiveness of pollution control measures. Furthermore, it highlights the use of advanced technologies such as remote sensing, GIS (Geographic Information System), and water quality sensors for real-time monitoring and early warning systems. The abstract concludes by emphasizing the need for integrated approaches that combine best management practices, policy interventions, and stakeholder engagement to effectively control agricultural water pollution.

Thesis Overview