add results for paper
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1 changed files with 34 additions and 6 deletions
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@ -31,6 +31,7 @@ def exposure_model_from_vl_breathing():
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ax = fig.add_subplot(1, 1, 1)
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er_means = []
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er_means_1h = []
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er_medians = []
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lower_percentiles = []
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upper_percentiles = []
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@ -44,6 +45,8 @@ def exposure_model_from_vl_breathing():
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er_medians.append(np.median(emission_rate))
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lower_percentiles.append(np.quantile(emission_rate, 0.01))
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upper_percentiles.append(np.quantile(emission_rate, 0.99))
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emission_rate_1h = exposure_model.concentration_model.infected.emission_rate_when_present(cn_B=0.06, cn_L=0.2)
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er_means_1h.append(np.mean(emission_rate_1h))
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# divide by 2 to have in 30min (half an hour)
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coleman_etal_er_breathing_2 = [x/2 for x in coleman_etal_er_breathing]
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@ -55,6 +58,13 @@ def exposure_model_from_vl_breathing():
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upper_percentiles, alpha=0.2)
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ax.set_yscale('log')
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ratio = np.mean(10**viral_loads / er_means)
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ratio_1h = np.mean(10**viral_loads / er_means_1h)
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print('Mean swab-to-aersol vl ratio in 30min:')
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print(format(ratio, "5.1e"))
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print('Mean swab-to-aersol vl ratio emission rate per hour:')
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print(format(ratio_1h, "5.1e"))
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############# Coleman #############
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scatter_coleman_data(coleman_etal_vl_breathing,
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coleman_etal_er_breathing_2)
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@ -158,6 +168,7 @@ def exposure_model_from_vl_talking():
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ax = fig.add_subplot(1, 1, 1)
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er_means = []
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er_means_1h = []
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er_medians = []
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lower_percentiles = []
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upper_percentiles = []
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@ -171,6 +182,8 @@ def exposure_model_from_vl_talking():
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er_medians.append(np.median(emission_rate))
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lower_percentiles.append(np.quantile(emission_rate, 0.01))
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upper_percentiles.append(np.quantile(emission_rate, 0.99))
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emission_rate_1h = exposure_model.concentration_model.infected.emission_rate_when_present(cn_B=0.06, cn_L=0.2)
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er_means_1h.append(np.mean(emission_rate_1h))
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# divide by 4 to have in 15min (quarter of an hour)
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coleman_etal_er_talking_2 = [x/4 for x in coleman_etal_er_talking]
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@ -180,6 +193,13 @@ def exposure_model_from_vl_talking():
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upper_percentiles, alpha=0.2)
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ax.set_yscale('log')
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ratio = np.mean(10**viral_loads / er_means)
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ratio_1h = np.mean(10**viral_loads / er_means_1h)
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print('Mean swab-to-aersol vl ratio in 30min:')
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print(format(ratio, "5.1e"))
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print('Mean swab-to-aersol vl ratio emission rate per hour:')
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print(format(ratio_1h, "5.1e"))
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############# Coleman #############
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scatter_coleman_data(coleman_etal_vl_talking, coleman_etal_er_talking_2)
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@ -450,25 +470,33 @@ def calculate_deposition_factor():
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Vt = 0.0004
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g = 9.8
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BRk = exposure_model.exposed.activity.inhalation_rate
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k = 1.38*10**-23
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T = 300
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diameters = np.linspace(0.3, 100, 200) #particle diameter (multiply later by 10**(-6))
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fractions = []
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for d in diameters:
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d = d*10**(-6)
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cunningham_slip_factor = calculate_cunningham_slip_factor(d)
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d1 = d*10**(-6)
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cunningham_slip_factor = calculate_cunningham_slip_factor(d1)
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#if d > 1:
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f_dep = 0.08 + 0.92 / (
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1 + (4.09*10**-6 * (
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(((cunningham_slip_factor*rho_p*d**2*(BRk/3600))/mu_air*FRC)**0.8) + (
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(((cunningham_slip_factor*rho_p*d1**2*(BRk/3600))/mu_air*FRC)**0.8) + (
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0.01*(
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((cunningham_slip_factor*g*rho_p*d**2*FRC**(2/3))/(mu_air*(BRk/3600))**0.4) * (
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((cunningham_slip_factor*g*rho_p*d1**2*FRC**(2/3))/(mu_air*(BRk/3600))**0.4) * (
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(Vt/FRC)**0.8
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)
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)
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)
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)
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)**(-2.06)
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))
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#elif d < 0.9:
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# f_dep = 1 - 1 / (
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# 7380*(((k * T * cunningham_slip_factor)\(3 * np.pi * mu_air * d1)*(Vt**(1/3))/(BRk/3600))**0.539 * (Vt/FRC)**0.884) + 1)
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#else:
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# f_dep = 0.5
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#
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fractions.append(f_dep)
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fig = plt.figure()
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