Air pollution models usually start from the computation of the velocity field of a fluid. In this paper, we present a model for computing that field based on the contribution of the observed wind flow and the vertical buoyancy or momentum plume rise defined by a Gaussian plume model. This initial velocity field is adjusted to verify incompressibility and impermeability conditions by using a mas...

Reliable and up to date information represents principal prerequisite for effective management of intervention operations targeted on emergency situations during accidental releases of harmful substances into the atmosphere. Promising way of this trend insists in development of assimilation techniques for improvement of model prognosis reliability on basis of optimal blending of predictions wit...

A Monte Carlo algorithm is iteratively run to identify candidate sources for atmospheric releases. The values of the ground measurements of concentration are synthetically generated by a benchmark simulation of a Gaussian dispersion model. At each iteration, a Gaussian reflected plume model is applied to compute the dispersion from a candidate source, and the resulting concentrations are compar...

The most important things for a forest fire detection system are the exact extraction of the smoke from image and being able to clearly distinguish the smoke from those with similar qualities, such as clouds and fog. This research presents an intelligent forest fire detection algorithm via image processing by using the Gaussian Mixture model (GMM), which can be applied to detect smoke at the ea...

The effect of estuarine circulation and tidal trapping on mixing in the Hudson Estuary is investigated by a numerical model simulation of a tracer release. The data set used in this study was obtained from a large-scale SF6 tracer release experiment conducted during July/August 2001. It consists of over 2,000 measurements taken over a period of two weeks and distance of 110 km with a typical re...

this paper investigates the importance of considering biomass growth and decay for predicting a field scale microbial degradation of btex plume in an unconfined aquifer system in the pump station area of tehran oil refinery (tor), iran. a two-dimensional finite volume model has been presented to predict multi-species reactive transport incorporating physical, chemical and biological processes i...

Methane emissions from 3 different landfills in the Netherlands were estimated using a mobile Tuneable Diode Laser system (TDL). The methane concentration in the cross section of the plume is measured downwind of the source on a transect perpendicular to the wind direction. A Gaussian plume model was used to simulate the concentration levels at the transect. The emission from the source is calc...

After an explosion of a radiological dispersal device, decision-makers need to implement countermeasures as soon as possible to minimise the radiation-induced risks to the population. In this work, the authors present a tool, which can help providing information about the approximate size of source term and radioactive contamination based on a Gaussian Plume model with the use of available meas...

Events such as atmospheric gas dispersion by industrial accidents or processes are generally predicted with Gaussian plumes, coupled with local models of gas emission. In this contribution we investigate the association of integral models of instantaneous emission with Gaussian dispersion processes for predicting the progression of potentially hazardous low-altitude emissions over sensitive or ...