Abstract
The evergrowing populations and increasing human activities are associated with a major increase in environmental pollution. However, their impact is still poorly understood due to the pervasiveness and spatiotemporal complexity of the phenomenon. Conventional approaches to environmental monitoring are based on networks of sparse measurement stations or in situ human-operated measurements. However, these are prohibitively expensive to capture the spatiotemporal heterogeneity of most of the environmental pollution phenomenon. Current advancements in the wireless sensor network (WSN) technology are radically changing the conventional approach, allowing for the capture of real-time information in a capillary form.
| Original language | English |
|---|---|
| Title of host publication | Monitoring Environmental Contaminants |
| Publisher | Elsevier |
| Pages | 57-71 |
| Number of pages | 15 |
| ISBN (Electronic) | 9780444643353 |
| ISBN (Print) | 9780444643360 |
| DOIs | |
| Publication status | Published - 1 Jan 2020 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 12 Responsible Consumption and Production
Keywords
- Air pollution
- Noise pollution
- Pervasive sensing
- Soil pollution
- Water pollution
- Wireless sensor network
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