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- W993923628 abstract "This chapter discusses the real time validation of air quality data. Collecting air quality data consists of the following steps: sampling, analysis, data processing, and data storage. The first two steps may entail many mistakes, which greatly influence the value of the collected data. Therefore, complementary methods for validation of air quality data are necessary. The need for validation is strong when the reliability of the chosen techniques is low, and it is especially strong when dealing with data outliers. One way to solve the problem of air quality data validation is to minimize the role of high and low data by using robust statistical parameters. Instead of an arithmetic mean, the median should be preferred in the case of homogeneous distributions. When data from two networks are compared, quartiles rather than extreme percentiles should be used. This solution of the outlier problem, however, has only restricted value. From the point of view of community health, it is no solution at all. Another way to solve the problem of air quality data validation is to check a number of essential steps in the process of data acquisition and data transmission and to check a number of parameters in the monitors." @default.
- W993923628 created "2016-06-24" @default.
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- W993923628 date "1978-01-01" @default.
- W993923628 modified "2023-09-25" @default.
- W993923628 title "Real Time Validation of Air Quality Data" @default.
- W993923628 doi "https://doi.org/10.1016/s0166-1116(08)70815-x" @default.
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