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Study of the atmosphere of the Zeravshan Valley by the nuclear physics method

Über Study of the atmosphere of the Zeravshan Valley by the nuclear physics method

The aim of the work was to study the spatial and temporal distribution of the content and forms of element migration in atmospheric aerosols and precipitation of the cities of Zerafshan valley (Samarkand, Bukhara, Navoi), environmental assessment using advanced instrumental neutron activation analysis (INAA).Due to automation of the aerosol sampling process we managed to collect relatively high sample weight on the filters, which in turn influenced the INAA technique of atmospheric aerosols, namely, the measurement time of long-lived isotopes was reduced by 2.5-3 times with increasing the number of elements determined and decreasing the analysis error. Thus, the productivity of the technique was significantly increased and the cost of a single analysis was reduced, which is very important when analyzing a large number of samples.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9786205778807
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 132
  • Veröffentlicht:
  • 9. März 2023
  • Abmessungen:
  • 150x8x220 mm.
  • Gewicht:
  • 215 g.
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Beschreibung von Study of the atmosphere of the Zeravshan Valley by the nuclear physics method

The aim of the work was to study the spatial and temporal distribution of the content and forms of element migration in atmospheric aerosols and precipitation of the cities of Zerafshan valley (Samarkand, Bukhara, Navoi), environmental assessment using advanced instrumental neutron activation analysis (INAA).Due to automation of the aerosol sampling process we managed to collect relatively high sample weight on the filters, which in turn influenced the INAA technique of atmospheric aerosols, namely, the measurement time of long-lived isotopes was reduced by 2.5-3 times with increasing the number of elements determined and decreasing the analysis error. Thus, the productivity of the technique was significantly increased and the cost of a single analysis was reduced, which is very important when analyzing a large number of samples.

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