A review of source term estimation methods for atmospheric dispersion events using static or mobile sensors

- A review of techniques to gain information about atmospheric dispersion is presented.
- Optimisation- and Bayesian inference-based estimation methods are summarised.
- Mobile sensors provide an ideal platform for data gathering of atmospheric events.
- The current limitations and recommendations for future research is discussed.

Understanding atmospheric transport and dispersal events has an important role in a range of scenarios. Of particular importance is aiding in emergency response after an intentional or accidental chemical, biological or radiological (CBR) release. In the event of a CBR release, it is desirable to know the current and future spatial extent of the contaminant as well as its location in order to aid decision makers in emergency response. Many dispersion phenomena may be opaque or clear, thus monitoring them using visual methods will be difficult or impossible. In these scenarios, relevant concentration sensors are required to detect the substance where they can form a static network on the ground or be placed upon mobile platforms. This paper presents a review of techniques used to gain information about atmospheric dispersion events using static or mobile sensors. The review is concluded with a discussion on the current limitations of the state of the art and recommendations for future research.