2,539 research outputs found
Human Health Risk Assessment for Petroleum Refining Industry of the Remaining Air Toxics after MACT I Emissions Reductions
Inhalation risks on human health for hazardous air pollutants emitted from MACT I petroleum refining industry were determined using EPA HEM-3 Program. Methodology included compiling vertical and fugitive emissions from 2002 National Emissions Inventory for sources inside two facilities in Louisiana, \u27Motiva Norco\u27 and \u27Valero St. Charles\u27 refineries. Six cases were modeled applying EPA criteria, where cancer risks are \u27low\u27 if the probability is. 1/1, 000, 000, and non-cancer risks are harmful when hazard quotient is \u3e 1. It was demonstrated that fugitive emissions have more impact on human health than the verticals because of their significant portion of the total refining emissions. HAPs can cause moderate adverse effects in humans living nearby refineries, as 113 people resulted in high risk of respiratory problems with Valero emissions, 4571 people resulted in \u27moderate\u27 risk of getting cancer with Motiva emissions, 2702 people with Valero emissions, and 11, 282 people with both refineries\u27 emissions
Human Health Risk Assessment for Petroleum Refining Industry of the Remaining Air Toxics after MACT I Emissions Reductions
Inhalation risks on human health for hazardous air pollutants emitted from MACT I petroleum refining industry were determined using EPA HEM-3 Program. Methodology included compiling vertical and fugitive emissions from 2002 National Emissions Inventory for sources inside two facilities in Louisiana, \u27Motiva Norco\u27 and \u27Valero St. Charles\u27 refineries. Six cases were modeled applying EPA criteria, where cancer risks are \u27low\u27 if the probability is. 1/1, 000, 000, and non-cancer risks are harmful when hazard quotient is \u3e 1. It was demonstrated that fugitive emissions have more impact on human health than the verticals because of their significant portion of the total refining emissions. HAPs can cause moderate adverse effects in humans living nearby refineries, as 113 people resulted in high risk of respiratory problems with Valero emissions, 4571 people resulted in \u27moderate\u27 risk of getting cancer with Motiva emissions, 2702 people with Valero emissions, and 11, 282 people with both refineries\u27 emissions
Entanglement of formation for a class of -dimensional systems
Currently the entanglement of formation can be calculated analytically for
mixed states in a -dimensional Hilbert space. For states in higher
dimensional Hilbert space a closed formula for quantifying entanglement does
not exist. In this regard only entanglement bounds has been found for
estimating it. In this work, we find an analytical expression for evaluating
the entanglement of formation for bipartite ()-dimensional mixed
states.Comment: 5 pages, 4 figures. Submitted for publicatio
Calculating error bars for neutrino mixing parameters
One goal of contemporary particle physics is to determine the mixing angles
and mass-squared differences that constitute the phenomenological constants
that describe neutrino oscillations. Of great interest are not only the best
fit values of these constants but also their errors. Some of the neutrino
oscillation data is statistically poor and cannot be treated by normal
(Gaussian) statistics. To extract confidence intervals when the statistics are
not normal, one should not utilize the value for chisquare versus confidence
level taken from normal statistics. Instead, we propose that one should use the
normalized likelihood function as a probability distribution; the relationship
between the correct chisquare and a given confidence level can be computed by
integrating over the likelihood function. This allows for a definition of
confidence level independent of the functional form of the !2 function; it is
particularly useful for cases in which the minimum of the !2 function is near a
boundary. We present two pedagogic examples and find that the proposed method
yields confidence intervals that can differ significantly from those obtained
by using the value of chisquare from normal statistics. For example, we find
that for the first data release of the T2K experiment the probability that
chisquare is not zero, as defined by the maximum confidence level at which the
value of zero is not allowed, is 92%. Using the value of chisquare at zero and
assigning a confidence level from normal statistics, a common practice, gives
the over estimation of 99.5%.Comment: 9 pages, 6 figure
Linearly independent pure-state decomposition and quantum state discrimination
We put the pure-state decomposition mathematical property of a mixed state to
a physical test. We begin by characterizing all the possible decompositions of
a rank-two mixed state by means of the complex overlap between two involved
states. The physical test proposes a scheme of quantum state recognition of one
of the two linearly independent states which arise from the decomposition. We
find that the two states associated with the balanced pure-state decomposition
have the smaller overlap modulus and therefore the smallest probability of
being discriminated conclusively, while in the nonconclusive scheme they have
the highest probability of having an error. In addition, we design an
experimental scheme which allows to discriminate conclusively and optimally two
nonorthogonal states prepared with different a priori probabilities. Thus, we
propose a physical implementation for this linearly independent pure-state
decomposition and state discrimination test by using twin photons generated in
the process of spontaneous parametric down conversion. The information-state is
encoded in one photon polarization state whereas the second single-photon is
used for heralded detection.Comment: 6 pages, 5 figures, Submitted to Phys. Rev.
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