Abstract:
Fecal matter contamination poses a significant threat to public health and the environment, leading to waterborne diseases and ecological disturbances. To address this issue, a pollutant tracking model has been developed with the primary objective of mitigating the movement of fecal matter into the ground. This research integrates cutting-edge technologies in hydrology, geospatial analysis, and environmental engineering to design an innovative approach for identifying, monitoring, and controlling fecal pollutant pathways.
The pollutant tracking model utilizes Geographic Information Systems (GIS) to map and analyze the spatial distribution of potential contamination sources. Additionally, it incorporates hydrological simulations to predict the movement of pollutants within the groundwater, considering factors like soil characteristics, land use, precipitation patterns, and hydraulic conductivity.
Furthermore, the model incorporates real-time data from sensor networks and remote sensing technologies to enhance its accuracy and reliability. It continuously collects information on water quality parameters and enabling adaptive management strategies for efficient mitigation.
The findings of this study provide valuable insights into the sources and pathways of fecal pollution, aiding policymakers and environmental agencies in making informed decisions. By identifying critical hotspots of contamination and evaluating potential mitigation measures, this pollutant tracking model contributes significantly to safeguarding water resources, enhancing public health, and preserving ecosystems.
Keywords: pollutant tracking model, fecal matter, ground contamination, waterborne diseases, hydrology, geospatial analysis, GIS, groundwater water quality, adaptive management, pollution control, public health.
