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EN
Soil as an ecosystem is actively involved into climate formation process. Therefore, it is important to assess such soil quality indicators as total organic carbon (TOC) and CO2 emissions. Soil organic matter is considered to be its indicator of quality, which is one of the most important components of biosphere consistency and stability. Soil respiration shows carbon emission from soil into the atmosphere. This is a great indicator, illustrating soil biological activity. Impact of soil temperature, air humidity, time of day was evaluated on CO2 emission from the soil. The highest CO2 emission is observed in afternoon hours, up to 0.201 g CO2·m–2·h–1.
EN
The total organic carbon (TOC) content reflects the abundance of organic matter in marine mud shale reservoirs and reveals the hydrocarbon potential of the reservoir. Traditional TOC calculation methods based on statistical and machine learning have limited effect in improving the computational accuracy of marine mud shale reservoirs. In this study, the collinearity between log curves of marine mud shale reservoirs was revealed for the first time, which was found to be adverse to the improvement of TOC calculation accuracy. To this end, a new TOC prediction method was proposed based on Multiboost-Kernel extreme learning machine (Multiboost-KELM) bridging geostatistics and machine learning technique. The proposed method not only has good data mining ability, generalization ability and sound adaptivity to small samples, but also has the ability to improve the computational accuracy by reducing the effect of collinearity between logging curves. In prediction of two mud shale reservoirs of Sichuan basin with proposed model, the results showed that the predicted value of TOC was in good consistence with the measured value. The root-mean-square error of TOC predicting results was reduced from 0.415 (back-propagation neural networks) to 0.203 and 1.117 (back-propagation neural networks) to 0.357, respectively; the relative error value decreased by up to 8.9%. The Multiboost-KELM algorithm proposed in this paper can effectively improve the prediction accuracy of TOC in marine mud shale reservoir.
EN
Water entering the plant varies significantly in the content of total organic carbon and its fractions. The treatment train includes coagulation, sedimentation, rapid sand filtration, ozonation, biofiltration, disinfection and alkalization. The study aimed at assessing the applicability of ozonation, followed by biological filtration, to remove organic substances from surface water. Upon coagulation, sand filtration, ozonation, adsorption onto a biological activated carbon filter (BAF), and disinfection with chlorine and chlorine dioxide, water samples differed considerably in organic matter content before ozonation, as well as before and after biofiltration. The ozonation process brought about a reduction in total organic carbon and dissolved organic carbon concentrations, which was concomitant with a significant increase in the concentrations of biodegradable dissolved organic carbon fractions and in assimilable organic carbon. This may be attributed to the transformation of non-biodegradable substances to lower molecular weight compounds that are easier to assimilate by the microorganisms normally colonizing an adsorption bed. Even though the substances that originated from the ozonation process were effectively removed during biofiltration, the extent of removal was still insufficiently high to provide desired biological stability of the water. A benefit of biofiltration was efficient removal of refractory substances as a result of adsorption. The efficiency of the ozonation and biofiltration processes at removing organic substances increased in proportion with the increase in their concentrations in the water being treated.
PL
W artykule omówiono metodykę oznaczania zawartości węgla organicznego TOC w badanym materiale, omówiono rozwiązania konstrukcyjne analizatorów węgla organicznego stosowane przez światowych wytwórców tego typu analizatorów oraz przedstawiono schemat modelu analizatora TOC opracowanego w ITR.
EN
In the paper, the method of determination of total organic carbon content in an investigated material was reported. Moreover the structure of carbon analysers constructed by word-wide producers was discussed. The author presented the scheme of the model of TOC analyser proposed by ITR.
PL
Oznaczanie ogólnego węgla organicznego w wodzie jest często wykonywane jako alternatywa w stosunku BZT i ChZT. Parametr ten jest określony w klasyfikacji czystości wód w Rozporządzeniu Ministra Środowiska z dnia 11 lutego 2004 r. Niniejszy artykuł omawia zagadnienia związane z oznaczeniem węgla całkowitego, nieorganicznego i organicznego w wodach powierzchniowych. Omówiono pobór i przygotowanie prób, kalibrację analizatora i oznaczenie trzech form węgla.
EN
The total organic carbon determination in water often is the alternative for BOD and COD. Total organic carbon concentration is valued in water purity classification in Disposition of Environmental Minister od 11th February, 2004. That article discusses question about total carbon and total organic carbon indication In surface water. Samples collection and preparation calibration of total organic carbon analyzer and three forms of carbon determination have been discussed.
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