Stochastic simulation of diurnal-variations of co, no and no2 concentrations in occupied residences. Borrazzo, J., E., Davidson, C., I., & Small, M., J. Atmos Environ Pt B-Urban Atm, 26:369-377, 1992.
abstract   bibtex   
A stochastic approach to the problem of incorporating variable emission events in indoor air quality models is proposed. A nonstationary Poisson process is used to account for the occurrence of range-top burner use. The combination of this emission event sequence with a simple one-compartment mass-balance model results in output that qualitatively agrees with measured concentrations in two occupied townhouses. Improved monitoring of stove usage times, gas flow rates and emission factors under field conditions would allow more effective estimation of model input parameters and more accurate prediction of concentration distributions.
@article{
 title = {Stochastic simulation of diurnal-variations of co, no and no2 concentrations in occupied residences},
 type = {article},
 year = {1992},
 pages = {369-377},
 volume = {26},
 id = {044e51ca-642e-3afa-9d46-8baf7c95f807},
 created = {2014-10-08T16:28:18.000Z},
 file_attached = {false},
 profile_id = {363623ef-1990-38f1-b354-f5cdaa6548b2},
 group_id = {02267cec-5558-3876-9cfc-78d056bad5b9},
 last_modified = {2017-03-14T17:32:24.802Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Borrazzo:AEPBUA:1992a},
 source_type = {article},
 private_publication = {false},
 abstract = {A stochastic approach to the problem of incorporating
variable emission events in indoor air quality models is proposed.
A nonstationary Poisson process is used to account for the
occurrence of range-top burner use. The combination of this
emission event sequence with a simple one-compartment mass-balance
model results in output that qualitatively agrees with measured
concentrations in two occupied townhouses. Improved monitoring of
stove usage times, gas flow rates and emission factors under field
conditions would allow more effective estimation of model input
parameters and more accurate prediction of concentration
distributions.
},
 bibtype = {article},
 author = {Borrazzo, J E and Davidson, C I and Small, M J},
 journal = {Atmos Environ Pt B-Urban Atm}
}
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