Literature DB >> 11349291

Specific surface area of snow samples determined by CH4 adsorption at 77 K and estimated by optical microscopy and scanning electron microscopy.

F Dominé1, A Cabanes, A S Taillandier, L Legagneux.   

Abstract

Snow is a divided medium that can adsorb atmospheric trace gases. Evaluating the impact of the snow cover on atmospheric chemistry therefore requires the knowledge of the specific surface area (SSA) of snow. This paper compares the results of three methods used to measure or estimate the SSA of four snow samples: CH4 adsorption at 77 K, optical microscopy (OM), and scanning electron microscopy (SEM, used only on two samples). Within error bars, CH4 adsorption and OM yield similar results on three of the four snow samples. Values for the 4th sample are within a factor of 2. For both samples where CH4 adsorption, OM, and SEM are used, all three methods yield similar results, but CH4 adsorption always has a better accuracy and a much better precision. Thus, despite its ease of use, estimates from OM images are often not accurate enough to monitor the evolution of snow SSA. The main sources of error in the OM method are the difficulty to determine snow crystal thicknesses and to take into account the topography of the snow crystal surface. The combination of CH4 adsorption and OM or SEM can provide useful information on the evolution of both the SSA and the shape of snow crystals. This will be useful to evaluate the respective contributions of adsorption/desorption and sublimation/condensation processes to the impact of the snow cover on atmospheric chemistry.

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Year:  2001        PMID: 11349291     DOI: 10.1021/es001168n

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  1 in total

1.  European In-Situ Snow Measurements: Practices and Purposes.

Authors:  Roberta Pirazzini; Leena Leppänen; Ghislain Picard; Juan Ignacio Lopez-Moreno; Christoph Marty; Giovanni Macelloni; Anna Kontu; Annakaisa von Lerber; Cemal Melih Tanis; Martin Schneebeli; Patricia de Rosnay; Ali Nadir Arslan
Journal:  Sensors (Basel)       Date:  2018-06-22       Impact factor: 3.576

  1 in total

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