The volatilization behavior of Seleenium in coal / coal char was studied by determining the concentration of Se with AFS at H2O(Ar) atmosphere in high-temperature tube furnace. The inhibition effects on the volatilization of Se with calcium-based material (CaO) and nano materials Fe3O4as absorbents were studied during coal gasification. The results show that the volatilization rates of Se, rising with the temperature of gasification, can be effectively controlled with the absorbent of CaO. Because CaO can reacts with Se produce CaSeO4, a more stable compoud. Nano-Fe3O4can enhance the ability of CaO to inhibit the volatilization of selenium, it is because not only can promote more CaSeO4, while also reducing the possibility of its decomposition.
In order to set up an evaluation method for the uncertainty in determining dissolved inorganic carbon (DIC) in karst river basin by Non-dispersive Infrared (NDIR) absorption detection technique, the continuous propagation model of uncertainty is used to evaluating the uncertainties from DIC measurement in two typical karst groundwater samples. The main steps are as follows: to fit the calibration curve by means of double-error regression firstly; and then to quantify each uncertainty component in the evaluation process; lastly to obtain the synthetic uncertainty model for DIC determination results. Calculations through experimental results show that: (1) the main sources of measurement uncertainty derive from the sub-uncertainties of calibration solutions, calibration curve fitting and measurements process; (2) the lower the DIC content in groundwater samples, the greater the relative uncertainty of measurement results, and the sub-uncertainty from the fitting of calibration curve gives one major contribution to the total uncertainty.
Li River appeared successively three times floods during May 8-17, 2012. We were high-frequency monitoring during the flood once every hour, real time monitoring the pH value, water temperature, EC(electrical conductivity), pCO2(carbon dioxide partial pressure), HCO3- and flow rate, analyzing karst carbon sinks dynamic changes during the flood. It was found that river hydrochemistry and karst carbon sinks in different stages with different variations in Li River. These floods were divided into 5 stages to discuss, researches have shown: AtIand Vstage the river hydrochemistry is not subjected to flooding, pCO2 and pH value, water temperature has distinct characteristics of diurnal variation. EC, flow rate and HCO3- is relatively stable; II, III and IV stage appear different changes characteristics are due to effects of flood, flow rate and HCO3- have a positive correlation at IV stage, with opposite of stage II and III stage. We use water chemistry-runoff method to calculate the amount of carbon sinks in the flood, found in the flood related coefficients between carbon sink and HCO3-, flow rate respectively 0.87 and 0.33. The carbon sink is 3491.06 t C during the flood monitoring, in which carbon sink at IVstage in flood are 4.52 times prior to the flood, which account for that carbon sink in the flood is much larger than the front of flood.
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