187 resultados para Automatic Translation


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There is at the moment no direct method of determining the organic matter content of natural waters. In 1940/41 8 different water bodies in central Russia were studied and their organic matter identified. The author concludes that there is currently no easy method to determine organic matter in water. A number methods need to be applied.

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Observations are reported on the content of organic matter in the Moscow region in 1941. Some data is given on alkalinity, oxygen content and colourisation of the rivers.

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Dissolved organic matter, especially turf and peat, is repsonsible for the colouration of water. The reported study tried to determine the nature of the colouring agent or organic matter by the establishment of a relationship between the intensity of colouration and the total organic matter content. 44 waters from different sources were examined.

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The processes of synthesis and destruction of organic matter play an important role in the ”self-cleaning” of reservoirs. The basic problem of this investigation consists of the role of phytoplankton in enriched waters of the Klyaz'minsk water reservoir through the solution of oxygen and its part in the ”self-cleaning” of the water reservoir. Observations on the interesting process of photosynthesis and the breakdown of organic matter was conducted by us on the eastern stretch of water in the Klyaz'minsk Reservoir during the growing periods of 1945 to 1948, by the widely applied bottle method (Vinberg 1934). This study reports mainly on the he vertical distribution of photosynthesis and respiration in plankton of the reservoir.

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The morphology, increase and systematica of Sphaerotilus natans is studied and culture methods examined.

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Short identification key and morphological description of the mature larvae of Philopotamidae, Limnophilidae (genus Apatania) and Sericostomatidae

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A good understanding of the population dynamics of algal communities is vital in many ecological and pollution studies of freshwater and oceanic systems. Present methods require manual counting and identification of algae and can take up to 90 min to obtain a statistically reliable count on a complex population. Several alternative techniques to accelerate the process have been tried on marine samples but none have been completely successful because insufficient effort has been put into verifying the technique before field trials. The objective of the present study has been to assess the potential of in vivo fluorescence of algal pigments as a means of automatically identifying algae. For this work total fluorescence spectroscopy was chosen as the observation technique.