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21.
Environmental Science and Pollution Research - The first application of a novel electro-Fenton (EF) for coking wastewater (CW) treatment at the original pH (6.80) by using tripolyphosphate (TPP)...  相似文献   
22.
利用相关性和通径分析研究了从扎龙湿地土壤中筛选的抗性菌株对Pb、Cd的去除率与其生理生化特性之间的关系。相关性分析表明:细胞长宽比与Pb去除率呈显著负相关性;淀粉酶水解、过氧化氢酶和甲基红与Pb去除率均呈极显著或显著的正相关性;V-P与Cd去除率呈显著负相关性。通径分析表明:细胞长宽比、淀粉酶水解、甲基红对Pb去除率有明显的直接作用,但总的间接作用不明显;酪蛋白和过氧化氢酶对Pb去除率有明显的负向直接作用,但总的正向间接作用很大;淀粉酶水解对Cd去除率有明显的正向直接作用;V-P对Cd去除率有明显的负向直接作用,间接作用不明显。  相似文献   
23.
高浊度污水快速净化新技术   总被引:1,自引:0,他引:1  
介绍了一种快速净化高浊度污水的新技术,该技术根据化学强化一级处理(chemically enhanced primary treatment,CEPT)技术、闪速混合(flash mixing)技术、旋流和点涡流絮凝技术、悬浮泥层过滤技术和过滤水力学原理等理论,采用物理化学法去除污水中的有机污染物和其他有害杂质,其有着流程简单可靠、投资和运行费用低、占地少、净化效果好的优势。  相似文献   
24.
In this study, an analysis framework based on the regular monitoring data was proposed for investigating the annual/inter-annual air quality variation and the contributions from different factors(i.e., seasons, pollution periods and airflow directions), through a case study in Beijing from 2013 to 2016. The results showed that the annual mean concentrations(MC) of PM_(2.5), SO_2, NO_2 and CO had decreased with annual mean ratios of 7.5%, 28.6%, 4.6%and 15.5% from 2013 to 2016, respectively. Among seasons, the MC in winter contributed the largest fractions(25.8%~46.4%) to the annual MC, and the change of MC in summer contributed most to the inter-annual MC variation(IMCV) of PM_(2.5) and NO2. For different pollution periods, gradually increase of frequency of S-1(PM_(2.5), 0~ 75 μg/m~3) made S-1 become the largest contributor(28.8%) to the MC of PM_(2.5) in 2016, it had a negative contribution(-13.1%) to the IMCV of PM_(2.5); obvious decreases of frequencies of heavily polluted and severely polluted dominated(44.7% and 39.5%) the IMCV of PM_(2.5). For different airflow directions, the MC of pollutants under the south airflow had the most significant decrease(22.5%~62.5%), and those decrease contributed most to the IMCV of PM_(2.5)(143.3%),SO2(72.0%), NO_2(55.5%) and CO(190.3%); the west airflow had negative influences to the IMCV of PM_(2.5), NO_2 and CO. The framework is helpful for further analysis and utilization of the large amounts of monitoring data; and the analysis results can provide scientific supports for the formulation or adjustment of further air pollution mitigation policy.  相似文献   
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