Scholarly record
THE SYSTEM FOR PREDICTING NOX DISPERSION UNDER PASQUILL STABILITY CLASSES AND SELECTED WEATHER CONDITIONS
Abstract
With the increasing levels of pollution, it is necessary to take actions aiming at reducing emissions of harmful substances to the environment. Unfortunately, increasing demand for new goods and energy does not contribute to the decrease of concentration of harmful substances in soil, water or air. Unexpected uncontrolled releases of chemicals caused by breakdowns in production plants are also a detrimental factor. Adding exhaust and nitrogen oxide emissions from vehicles, the situation seems to be hard to contain. A useful solution to this problem could be creation of a map of emissions of certain substances. Such solutions already exist, but it would be a good idea to create their dynamic version. This means there is a need to develop methods for rapid mapping of areas exposed to dispersion of harmful substances e.g. in the atmosphere. Such goal can be reached using numerical methods and computer simulations which will allow for high-precision prediction of the size of areas with hazardous concentrations for humans and the environment. The article presents opportunities resulting from application of computer simulations for the purpose of determining the size of areas where nitrogen oxide is dispersed. The size of such areas has been considered under Pasquill stability classes and selected weather conditions. The article presents results of simulations on real-life data from the period of the last four years, i.e. 2015-2018. The analysis was carried out on the basis of two monitoring stations located in Szczecin and Koszalin. Calculations were made using the DNV-Phast system.
Publication Impact Profile
Publication details
References0
Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.

