| Autor: |
Tzu-Chi Chang, Lisa, Barthelemy, Xavier, Watt, Sean, Ningbo Jiang, Riley, Matthew, Azzi, Merched |
| Předmět: |
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| Zdroj: |
Air Quality & Climate Change; Sep2022, Vol. 56 Issue 3, p10-15, 6p |
| Abstrakt: |
The need for fast responses options to manage the potential risks of exposure of population to pollutants from planned or unplanned activities is becoming critical and require a constant improvement in its management. The Hybrid Single-Particle Lagrangian Integrated Trajectory model (HYSPLIT) developed by the US National Oceanic and Atmospheric Administration (NOAA), is a complete system for computing both simple air parcel trajectories and complex dispersion and deposition simulations. These simulations include tracking and forecasting the smoke from prescribed burns and wildfires, dust, volcanic ash, the release of radioactive material, and pollutants from industrial incidents. The model can also be aggregated as a decisions support tool in the different phases of emissions events management. It has been tailored to run in New South Wales with finer spatial resolution meteorological data from Bureau of Meteorology to increase the accuracy of the trajectory and dispersion modelling. This system, called 'HYSPLIT in NSW', has been successfully configured to produce operational atmospheric trajectory and dispersion forecasts twice daily since July 2019. The system provides greater certainty in predicting the transportation of smoke from wildfires and hazard reduction burns, and is able to identify areas that are likely to be affected by regional dust storms and industrial incidents. 'HYSPLIT in NSW' also supports both research applications and emergency response events that require modelling the transport and dispersion of harmful pollutants released to the atmosphere (e.g., Port Macquarie peat fire in August 2019). It is an efficient modelling tool as it does not require huge amount of computing resources. The model is often applied to support the needs from air quality regulators or local emergency managers for air parcel trajectory and dispersion forecast. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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