dc.contributor.author |
Jilani, Abdul Basit |
|
dc.date.accessioned |
2017-11-28T04:35:17Z |
|
dc.date.accessioned |
2020-04-09T16:31:55Z |
|
dc.date.available |
2020-04-09T16:31:55Z |
|
dc.date.issued |
2009 |
|
dc.identifier.uri |
http://142.54.178.187:9060/xmlui/handle/123456789/2512 |
|
dc.description.abstract |
The Medium Term Development Frame Work (MTDF) 2005-10 by Planning Commission
Government of Pakistan states the policy for power sector in which it puts a greater
emphasis on nuclear power resources by increasing its share from currently 425 MW to
8800MW by 2030. With the increase of nuclear share in the overall national energy mix, a
corresponding environmental impact and nuclear safety analysis are equally important.
These are usually taken care of by Primary Safety Analysis Report (PSAR) of a proposed
nuclear power plant. The PSAR
of any proposed nuclear power plant involves the
assessment of a hypothetical accidental release of radionuclides in the atmosphere as set
forth by US-NRC and PNRA such as those given as criteria for preparation and evaluation of
radiological emergency plans and preparedness (10CFR100, PAK/910).
Modeling
atmospheric dispersion (both transport and diffusion) is the first step of such assessments.
The objective of this work is to determine a more precise modeling methodology that can
better predict the radiological consequences in terms of radionuclide concentration and doses
compared to Gaussian dispersion approach that is based on assumptions such as uniform
turbulence, flat topography and non-variant wind speed with time and space.
The research goal was achieved by developing two broad strategies on the basis of
Lagrangian approach. The first strategy is an effort to provide a simple answer to the
complex problem. This methodology makes use of empirical parameterization of
meteorology which serves as input for dispersion calculations by Lagrangian Stochastic
Particle Model (LSPM). But the beauty of approach is its capability to capture complex
atmospheric phenomenon like wind directional shear. This approach was used to study
hypothetical accidental release of radionuclides in nocturnal atmosphere which generates
maximum wind directional shear. The results of dispersion in terms of dispersion
coefficients were in good comparison with that of experimental findings in the available
literature. The resulting ground level concentrations of radio-nuclides and radiological dose
contours were also compared with those based on approach analogous to Gaussian Plume
Model (GPM). The exercise proved that how misleading results would be if we ignore wind
directional shear in stable atmosphere. The second approach is based on a state of the art
solution. It involves the coupling of an Eulerian meteorological model (RAMS) with LSPM.
The meteorological model is responsible to provide meteorological input to LSPM at each
grid point and at each time step. This computational technique was used to simulate a
hypothetical accident at a proposed site for Nuclear Power Plant. The meteorological output
of the modeling system was compared with observed values. The comparison proved the
efficacy and reliance of the approach. This computationally intensive but effective strategy is
quite capable of supporting a real time decision making system for tackling nuclear
emergency. |
en_US |
dc.description.sponsorship |
Higher Education Commission Islamabad,Pakistan |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Pakistan Institute of Engineering & Applied Sciences, Nilore, Islamabad, Pakistan. |
en_US |
dc.subject |
Applied Sciences |
en_US |
dc.title |
Atmospheric Dispersion and Consequence Modeling of Radiological Emergencies |
en_US |
dc.type |
Thesis |
en_US |