Abstract
Geo-visualization tools have become of paramount significance in pollution monitoring, revolutionizing the way to comprehend and combat environmental challenges. By seamlessly integrating geographic information systems (GIS) with interactive mapping technologies, these tools provide real-time visualization of pollution data, offering valuable insights into the spatial patterns and trends of pollutants across various regions. Such accessibility and immediacy empower researchers, policymakers, and the public to make well-informed decisions and undertake targeted actions to address pollution effectively. Through the overlaying of diverse data layers encompassing meteorological information, industrial zones, population density, and more, geo-visualization facilitates a comprehensive understanding of the multifaceted factors influencing pollution levels. By identifying pollution hotspots and tracking changes over time, these tools aid in developing evidence-based environmental policies and formulating strategic pollution control measures. As technology continues to advance, the future of geo-visualization in pollution monitoring holds tremendous promise. The integration of cutting-edge technologies, such as artificial intelligence and machine learning, can enhance predictive capabilities, enabling proactive responses to potential environmental threats. Moreover, the widespread adoption of geo-visualization tools promotes transparency, citizen engagement, and a sense of collective responsibility in safeguarding the environment. Hence, these developments can lead to a healthier, more sustainable world to combat pollution and preserve the planet for future generations.
| Original language | English |
|---|---|
| Title of host publication | Geospatial Analytics for Environmental Pollution Modeling |
| Subtitle of host publication | Analysis, Control and Management |
| Publisher | Springer Nature |
| Pages | 353-384 |
| Number of pages | 32 |
| ISBN (Electronic) | 9783031453007 |
| ISBN (Print) | 9783031452994 |
| DOIs | |
| State | Published - 1 Jan 2023 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
Keywords
- Geo-visualization tools
- Pollution monitoring
- Real-time visualization
- Spatial data
ASJC Scopus subject areas
- General Earth and Planetary Sciences
- General Environmental Science
- General Engineering