Bayesian hierarchical model-based food pollutant exposure evaluation method
A technology of hierarchical models and pollutants, which is applied in the fields of testing food, material inspection products, character and pattern recognition, etc. It can solve the problems of small sample size, poor evaluation effect of traditional methods, and difficulty in handling probabilistic models, so as to improve the efficiency of use. Effect
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[0034] This example takes the estimation of the exposure level of rare earth element La ingested by tea in Chinese population as an example to illustrate.
[0035] (1) Data sources include: 2014 survey data on rare earth element content in commercially available tea in my country, and 2014 survey data on food consumption of Chinese residents.
[0036] (2) Data verification:
[0037] #Read the data in the data excel
[0038] workbook=xlrd.open_workbook('green tea.xls')
[0039] allsheetnames = workbook.sheet_names()
[0040] print(allsheetnames)
[0041] #The number of data copies checked in different provinces is not the same, read in a circular way
[0042] #Verify the data, remove unreasonable data, and get the data shown in Table 2;
[0043] Table 2 Contents of metal rare earth element La in green tea from 11 provinces in China (mg kg -1 )
[0044]
[0045] Analysis process and instructions
[0046]
[0047]
[0048] The calculation results of the concentrati...
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