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The results showed that when acetate was used as the sole carbon resource in the influent, the sludge acclimatized under anaerobic/aerobic operation had good phosphorus removal ability.
      
Under deficient influent alkalinity, when compared to OAA, the AAA process improved treatment efficiency and effluent quality with NH4+-N in the effluent below the detection limit.
      
If the lack of alkalinity in the influent was less than 1/3 of that needed, there is no need for external alkalinity addition and treatment efficiency was the same as that under sufficient influent alkalinity.
      
Even if the lack of alkalinity in the influent was more than 1/3 of that needed, the AAA process was an optimal strategy because it reduced the external alkalinity addition and saved on operational cost.
      
The results showed that NPEOs and its metabolites existed in all the samples of the influent, effluent, and sludge.
      
The results showed that the initial specific phosphorus release rate increased with the high concentration of the short-chain volatile fatty acids ratio in the influent, and sufficient phosphorus was released by DPB.
      
The influent concentration hardly affected the TN removal efficiency, but the effluent TN increased with increasing influent concentration.
      
It is suggested that a subsequence for denitrification be added or influent amount be decreased to meet effluent quality requirements.
      
Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaos neural network model
      
By predicting influent quantity, a wastewater treatment plant (WWTP) can be well controlled.
      
The nonlinear dynamic characteristic of WWTP influent quantity time series was analyzed, with the assumption that the series was predictable.
      
Based on this, a short-term forecasting chaos neural network model of WWTP influent quantity was built by phase space reconstruction.
      
The filter was operated in the downflow manner and the results showed that the removing rate of NH4+-N was related to the influent concentration of NH4+-N.
      
Its removing rate could be higher than 95% when influent concentration was under 1.0 mg/L.
      
It could also decrease with the increasing influent concentration when the NH4+-N concentration was in the range from 1.5 to 4.9 mg/L and the dissolved oxygen (DO) in the influent was under 10 mg/L, and the minimum removing rate could be 30%.
      
The key factor of restricting nitrification in BACF was the influent DO.
      
When the influent NH4+-N concentration was high, the DO in water was almost depleted entirely by the nitrifying and hetetrophic bacteria in the depth of 0.4 m filter and the filter layer was divided into aerobic and anoxic zones.
      
The complicated process of pollutant spread was modeled as an aggregate of four simpler models such as overland water flow, influent seepage, pollutants transport with surface runoff, and pollutant deposition (accumulation) on the land surface.
      
Compared with 5.5 lg removal for virus T4 in the MBR system, only 2.1 lg (96.8%-99.9%) removal rate was observed in the conventional activated sludge system with the influent virus concentration fluctuating from 1830 to 57000 PFU/mL.
      
PCR-single-strand conformation polymorphism (SSCP) and Southern blotting techniques were adopted to investigate microbial community dynamics in a sulfate-reducing bioreactor caused by decreasing influent alkalinity.
      
 

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