down.the.drain.mass: down.the.drain.mass
In HumanExposure/SHEDSDevel: The SHEDS-HT model for estimating human exposure to chemicals.
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Description
Models the quantity of chemical entering the waste water system on a per person-day basis.
Usage
1
down.the.drain.mass(sd, cd)
Arguments
sd
The chemical-scenario data specific to relevant combinations of chemical and scenario. Generated internally.
cd
The list of scenario-specific information for the chemicals being evaluated. Generated internally.
Details
This function models the simplest of all the current scenarios. It evaluates the amount of chemical entering
the waste water system, on a per person-day basis. The "exposure" is to a system, not a person, but this method uses
one person's actions to estimate their contribution to the total.
The function produces a prevalence value, which reflects the fraction of the population who use this scenario at
all. It also produces a frequency value, which is the mean number of times per year this scenario occurs among
that fraction of the population specified by prevalence.
Since SHEDS operates on the basis of one random day, the frequency is divided by 365 and then passed to the
p.round (probabilistic rounding) function, which rounds either up or down to the nearest integer. Very
common events may happen more than once in a day.
The function also produces a mass variable, which refers to the mass of the product in grams in a typical
usage event. The composition is the percentage of that mass that is the chemical in question.
The final output, exp.ddd.mass, is the product of the prevalence, frequency, mass,
composition, and the fraction going down the drain (f.drain, a variable in the sd input).
The result is in grams per person-day.
Value
exp.ddd.mass The calculated quantity of chemical going down the drain (i.e., from laundry detergent) and
entering the sewer system per person per day.
Author(s)
Kristin Isaacs, Graham Glen
See Also
HumanExposure/SHEDSDevel documentation built on Oct. 30, 2019, 6:49 p.m.
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Description Usage Arguments Details Value Author(s) See Also
Description
Models the quantity of chemical entering the waste water system on a per person-day basis.
Usage
1 | down.the.drain.mass(sd, cd)
|
Arguments
sd |
The chemical-scenario data specific to relevant combinations of chemical and scenario. Generated internally. |
cd |
The list of scenario-specific information for the chemicals being evaluated. Generated internally. |
Details
This function models the simplest of all the current scenarios. It evaluates the amount of chemical entering
the waste water system, on a per person-day basis. The "exposure" is to a system, not a person, but this method uses
one person's actions to estimate their contribution to the total.
The function produces a prevalence value, which reflects the fraction of the population who use this scenario at
all. It also produces a frequency value, which is the mean number of times per year this scenario occurs among
that fraction of the population specified by prevalence.
Since SHEDS operates on the basis of one random day, the frequency is divided by 365 and then passed to the
p.round (probabilistic rounding) function, which rounds either up or down to the nearest integer. Very
common events may happen more than once in a day.
The function also produces a mass variable, which refers to the mass of the product in grams in a typical
usage event. The composition is the percentage of that mass that is the chemical in question.
The final output, exp.ddd.mass, is the product of the prevalence, frequency, mass,
composition, and the fraction going down the drain (f.drain, a variable in the sd input).
The result is in grams per person-day.
Value
exp.ddd.mass The calculated quantity of chemical going down the drain (i.e., from laundry detergent) and entering the sewer system per person per day.
Author(s)
Kristin Isaacs, Graham Glen
See Also
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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