2020
DOI: 10.1016/j.jqsrt.2020.107229
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Numerically resolved line by line radiation spectrum of large kerosene pool fires

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Cited by 10 publications
(4 citation statements)
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“…For instance, the refractive index was found to be m = 1.66 + i0.76 for OC/EC = 0 (uncoated soot) and m = 1.6219 + i0.61 for OC/EC = 0.1 (thinly coated soot). These values of refractive index are close to the one reported by Chang and Charalampopoulos 86 , which has been used in several works for modeling and predicting radiative properties of black carbon from kerosene flame and pool fires [87][88][89] . Thus, the differential backscattering cross-section and lidar ratio used for the retrieval of n o and m o are dC bac = 6.4 ± 1.5 × 10 −4 µm 2 sr −1 and LR = 131.1 ± 18.6 sr , respectively.…”
Section: Methodssupporting
confidence: 84%
“…For instance, the refractive index was found to be m = 1.66 + i0.76 for OC/EC = 0 (uncoated soot) and m = 1.6219 + i0.61 for OC/EC = 0.1 (thinly coated soot). These values of refractive index are close to the one reported by Chang and Charalampopoulos 86 , which has been used in several works for modeling and predicting radiative properties of black carbon from kerosene flame and pool fires [87][88][89] . Thus, the differential backscattering cross-section and lidar ratio used for the retrieval of n o and m o are dC bac = 6.4 ± 1.5 × 10 −4 µm 2 sr −1 and LR = 131.1 ± 18.6 sr , respectively.…”
Section: Methodssupporting
confidence: 84%
“…Основные показатели спектра при обработке были: 1) тип спектра был амплитудный; 2) число значений спектра во время быстрого преобразования Фурье было 1048576; 3) тип весовой функции был треугольным. Спектральный анализ гармонических функций скорости и давления потоков является классическим подходом для изучения характеристик потока при различных граничных условиях [28,29].…”
Section: материалы и методыunclassified
“…The spectral nature of thermal radiation is commonly taken into account in gas phase simulations [14,15], and various models have been presented, such as weighted sum of gray gases (WSGG) [16,17], spectral line based weighted sum of gray gases (SLW) [18,19], and full spectrum correlated-k distribution (FSCK) [20,21]. In case of condensed-phase pyrolysis, the spectral modeling has only been reported in [22][23][24] in which spectral radiative transfer was modeled to extract the preignition temperature profile within the sample [25,26].…”
Section: Introductionmentioning
confidence: 99%