scholarly journals Sampling and sub-sampling of granular waste: size of a representative sample in terms of number of particles

Detritus ◽  
2021 ◽  
pp. 30-41 ◽  
Author(s):  
Pierre Hennebert ◽  
Giovanni Beggio

This paper elucidates the theoretical principles behind the calculation of the size of a representative sample of granular solid waste. The key concept is the number of particles that must be present in a sub-portion of matter to be representative of a larger portion of matter. This depends on the fraction of particles in the waste batch showing the properties of interest, which shall be measured. A representative sample must include a fraction of particles of interest reliably similar to that of the waste batch to be characterized, with a controlled variability. In this context, it is demonstrated that the number of particles of interest that must be collected in a representative sample is 100. From this requirement, the mass of a representative sample can be calculated based on the knowledge of the frequency of particles of interest of the waste lot to be characterized. Data on particles concentrations in different samples of WEEE plastic scraps exemplifies how the presence in the sample of enough rare particles showing the property of interest is key to ensure reliable measurements. Further, the assumptions made on the controlled degree of variability to determine the minimum number of particles are discussed based on data on achievable intra- and inter-laboratory variability of analytical standards for waste characterization. Accordingly, the mass of laboratory samples and test portions recommended in published sampling plans or analytical standards are assessed for the occurring number of particles.

Author(s):  
Irnis Azura Zakarya ◽  
Nurul Syafiqah Azani Fazhil ◽  
Tengku Nuraiti Tengku Izhar ◽  
Siti Khadijah Zaaba ◽  
Muhamad Nabil Fikri Jamaluddin

2018 ◽  
Vol 16 (8) ◽  
pp. 4863-4872 ◽  
Author(s):  
Kh. Zoroufchi Benis ◽  
A. Safaiyan ◽  
D. Farajzadeh ◽  
F. Khalili Nadji ◽  
M. Shakerkhatibi ◽  
...  

2013 ◽  
Vol 16 (16) ◽  
pp. 759-769 ◽  
Author(s):  
Helen Morabi Heravi ◽  
Mohammad Reza Sabour ◽  
Amir Hossein Mahvi

2021 ◽  
Vol 254 ◽  
pp. 02005
Author(s):  
Naylya Sycheva ◽  
Vladimir Sychev

Various characteristics of the catalogue obtained from the data of the KNET network, containing the parameters of more than 10,000 earthquakes that occurred from 1994 to 2020, are considered. A statistical analysis of the number of P- and S-waves registered by each station of the network is carried out. The activity of the stations during the localization of earthquakes has been determined. The most active station is AAK. The minimum number of P- and S-waves is recorded at the ULHL station. Statistical analysis of localization errors has been performed. The boundaries of the territory for which the minimum values of errors are observed are determined. The statistical characteristics of earthquakes in terms of magnitude, time, depth are presented. The distribution of the number of earthquakes by different energy classes in time and the spatial distribution of earthquakes by depths: 0-5 km, 5-10 km, 10-15 km and more than 15 km are constructed. The Gutenberg Richter law was used to describe the energy distribution function of earthquakes. A representative sample of the catalogue was determined, which includes events with M ≥ 1.8. The b-value for the directory is 0.88.


2020 ◽  
Vol 20 ◽  
pp. 101066 ◽  
Author(s):  
Aakash Patwa ◽  
Divyesh Parde ◽  
Devendra Dohare ◽  
Ritesh Vijay ◽  
Rakesh Kumar

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