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Occurrence,distribution,and potential influencing factors of sewage sludge components derived from nine full-scale wastewater treatment plants of Beijing,China 被引量:3
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作者 Xu Wang Meiyan Li +1 位作者 Junxin Liu Jiuhui Qu 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2016年第7期233-239,共7页
Millions of tons of waste activated sludge(WAS) produced from biological wastewater treatment processes cause severe adverse environmental consequences. A better understanding of WAS composition is thus very critica... Millions of tons of waste activated sludge(WAS) produced from biological wastewater treatment processes cause severe adverse environmental consequences. A better understanding of WAS composition is thus very critical for sustainable sludge management. In this work, the occurrence and distribution of several fundamental sludge constituents were explored in WAS samples from nine full-scale wastewater treatment plants(WWTPs) of Beijing, China. Among all the components investigated, active heterotrophic biomass was dominant in the samples(up to 9478 mg/L), followed by endogenous residues(6736 mg/L),extracellular polymeric substances(2088 mg/L), and intracellular storage products(464 mg/L)among others. Moreover, significant differences(p 〈 0.05) were observed in composition profiles of sludge samples among the studied WWTPs. To identify the potential parameters affecting the variable fractions of sludge components, wastewater source as well as design and operational parameters of WWTPs were studied using statistical methods. The findings indicated that the component fraction of sewage sludge depends more on wastewater treatment alternatives than on wastewater characteristics among other parameters. A principal component analysis was conducted, which further indicated that there was a greater proportion of residual inert biomass in the sludge produced by the combined system of the conventional anaerobic/anoxic/oxic process and a membrane bioreactor. Additionally, a much longer solids retention time was also found to influence the sludge composition and induce an increase in both endogenous inert residues and extracellular polymeric substances in the sludge. 展开更多
关键词 Wastewater treatment plant Waste activated sludge Sludge component Solids retention time Extracellular polymeric substances Principal component analysis
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6T SRAM cell analysis for DRV and read stability
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作者 Ruchi S.Dasgupta 《Journal of Semiconductors》 EI CAS CSCD 2017年第2期73-79,共7页
The present paper analyzes the hold and read stability with temperature and aspect ratio variations. To reduce the power dissipation, one of the effective techniques is the supply voltage reduction. At this reduced su... The present paper analyzes the hold and read stability with temperature and aspect ratio variations. To reduce the power dissipation, one of the effective techniques is the supply voltage reduction. At this reduced supply voltage the data must be stable. So, the minimum voltage should be discovered which can also retain the data. This voltage is the data retention voltage(DRV). The DRV for 6T SRAM cell is estimated and analyzed in this paper.The sensitivity analysis is performed for the DRV variation with the variation in the temperature and aspect ratio of the pull up and pull down transistors. Cadence Virtuoso is used for DRV analysis using 45 nm GPDK technology files. After this, the read stability analysis of 6T SRAM cell in terms of SRRV(supply read retention voltage) and WRRV(wordline read retention voltage) is carried out. Read stability in terms of RSNM can be discovered by accessing the internal storage nodes. But in the case of dense SRAM arrays instead of using internal storage nodes,the stability can be discovered by using direct bit line measurements with the help of SRRV and WRRV. SRRV is used to find the minimum supply voltage for which data can be retained during a read operation. Similarly, WRRV is used to find the boosted value of wordline voltage, for which data can be retained during read operation. The SRRV and WRRV values are then analyzed for different Cell Ratios. The results of SRRV and WRRV are then compared with the reported data for the validation of the accuracy of the results. 展开更多
关键词 DRV SRRV WRRV data retention leakage reduction low power SRAM sensitivity analysis
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