2015
DOI: 10.3390/atmos6091327
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An Overview of Particulate Matter Measurement Instruments

Abstract: This review article presents an overview of instruments available on the market for measurement of particulate matter. The main instruments and methods of measuring concentration (gravimetric, optical, and microbalance) and size distribution Scanning Mobility Particle Sizer (SMPS), Electrical Low Pressure Impactor (ELPI), and others were described and compared. The aim of this work was to help researchers choose the most suitable equipment to measure particulate matter. When choosing a measuring instrument, a … Show more

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Cited by 159 publications
(114 citation statements)
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“…Their specifications, such as size range of nano/particle and time to generate a full-size distribution vary, and thus global nanoaerosol measurement metrics, such as total number concentration and size distributions, vary somehow between instruments. A detailed discussion of this issue is outside the scope of this review and the interested reader is encouraged to consult available reviews on this topic (e.g., Table in Amaral et al 2015). …”
Section: Resultsmentioning
confidence: 99%
“…Their specifications, such as size range of nano/particle and time to generate a full-size distribution vary, and thus global nanoaerosol measurement metrics, such as total number concentration and size distributions, vary somehow between instruments. A detailed discussion of this issue is outside the scope of this review and the interested reader is encouraged to consult available reviews on this topic (e.g., Table in Amaral et al 2015). …”
Section: Resultsmentioning
confidence: 99%
“…Based on the available systematic reviews on particulate air sampling technologies [72,73], it is worth examining instrumentation and approaches commonly employed in the reviewed I-O investigations.…”
Section: Sampling Methodsmentioning
confidence: 99%
“…These algorithms encode a potential solution to a specific problem by iteratively modifying an initial randomly defined population of candidate solutions, tested against the objective/fitness function, and "evolving" them over successive generations toward an optimal solution. At each step, subsequent generations evolve from the previous using three rules: (i) selection of the fittest individuals (called parents) created in each generation, which will contribute to the population at the next generation; (ii) crossover of two parents to produce new solutions (called children) for the next generation; and (iii) mutation that applies random changes to individual parents to generate more new solutions [19][20][21][22].…”
Section: Genetic Algorithmsmentioning
confidence: 99%