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Environmental Science and Pollution Research - Anthropogenic activities have increased atmospheric concentrations of greenhouse gas emissions, which have observably increased global temperature....  相似文献   
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Environmental Science and Pollution Research - Recently, China has relished rapid green investment, and its influence on clean energy consumption and environment is substantial. Therefore, this...  相似文献   
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Method 30B and the Ontario Hydro Method (OHM) were used to sample the mercury in the flue gas discharged from the seven power plants in Guizhou Province, southwest China. In order to investigate the mercury migration and transformation during coal combustion and pollution control process, the contents of mercury in coal samples, bottom ash, fly ash, and gypsum were measured. The mercury in the flue gas released into the atmosphere mainly existed in the form of Hg°. The precipitator shows a superior ability to remove Hgp (particulate mercury) from flue gas. The removal efficiency of Hg2+ by wet flue gas desulfurization (WFGD) was significantly higher than that for the other two forms of mercury. The synergistic removal efficiency of mercury by the air pollution control devices (APCDs) installed in the studied power plants is 66.69–97.56%. The Hg mass balance for the tested seven coal-fired power plants varied from 72.87% to 109.67% during the sampling time. After flue gas flowing through APCDs, most of the mercury in coal was enriched in fly ash and gypsum, with only a small portion released into the atmosphere with the flue gas. The maximum discharge source of Hg for power plants was fly ash and gypsum instead of Hg emitted with flue gas through the chimney into the atmosphere. With the continuous upgrading of APCDs, more and more mercury will be enriched in fly ash and gypsum. Extra attention should be paid to the re-release of mercury from the reutilization of by-products from APCDs.

Implications: Method 30B and the Ontario Hydro Method (OHM) were used to test the mercury concentration in the flue gas discharged from seven power plants in Guizhou Province, China. The concentrations of mercury in coal samples, bottom ash, fly ash, and gypsum were also measured. By comparison of the mercury content of different products, we found that the maximum discharge source of Hg for power plants was fly ash and gypsum, instead of Hg emitted with flue gas through the chimney into the atmosphere. With the continuous upgrading of APCDs, more and more mercury will be enriched in fly ash and gypsum. Extra attention should be paid to the re-release of mercury from the reutilization of by-products from APCDs.  相似文献   

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为探究绝缘油污染土壤微波热脱附的影响条件,考察了温度、停留时间、土壤含水率、污染物初始浓度和微波功率对土壤中绝缘油去除效果的影响.结果表明,温度和停留时间显著影响土壤中绝缘油的去除率,在400℃、微波处理时间5 min的条件下,土壤中绝缘油的去除率为98.6%.当土壤含水率为5%时,土壤中绝缘油的去除率达到最佳.在微波处理15 min内,土壤中绝缘油的去除率随着绝缘油初始浓度的升高逐渐降低.微波功率越高,土壤中绝缘油的微波热脱附效率越高,综合考虑能耗和去除率,微波功率为1 000 W时较优.绝缘油污染土壤微波热脱附机理研究表明,脂肪烃主要通过蒸汽蒸馏和热解吸两种方式从土壤中脱除.本研究结果可为高浓度绝缘油污染土壤微波热脱附技术应用提供参考.  相似文献   
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Environmental Science and Pollution Research - Worldwide green products are getting popularity and acceptance due to energy crisis, climate change, and other environmental degradations which reveal...  相似文献   
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塔里木地块经历了前寒武纪陆核增生-地块奠基、早古生代边缘裂解-开合拼贴、晚古生代裂谷叠加-板块统一、中新生代盆山耦合-地貌定形的四大构造演化阶段,在天山、昆仑山、阿尔金山一带形成了六大含矿建造和多种成因类型的金属矿床.周边地区有前苏联中天山、西南天山、秦祁昆、古特提斯四条邻国和邻区的巨型洲际级成矿带通过.从已知的近千处矿床(点)、矿化点和物化探异常的宏观分析和局部重点普查找矿信息来看,塔里木地块周边的金属矿床远景可观,潜力巨大,某些成矿带有可能成为我国矿产资源的后备勘查基地.  相似文献   
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采用杂多酸化合物溶液同时脱硫脱氮的实验研究   总被引:3,自引:0,他引:3  
本文对液相催化氧化脱硫脱氮的新方法进行了研究 ,在鼓泡反应发生器内进行了液相催化氧化脱硫脱氮的实验。采用钼硅酸溶液及其还原产物脱除烟气中的SO2 和NOX,分别就吸收液的浓度、pH值、温度、停留时间等因素对SO2 和NOX 去除效率的影响及其变化规律进行了研究。实验结果表明 ,钼硅酸能十分有效地吸收SO2 ,将SO2 氧化成H2 SO4,并使杂多酸还原为杂多蓝。随后又被用于去除NOX,把NOX 还原成N2 ,蓝色溶液再次被氧化成为黄色溶液  相似文献   
8.
油田含油污泥深度调剖技术研究   总被引:1,自引:0,他引:1  
针对目前油田联合站中含油污泥处理难的问题,提出了利用含油污泥开展深度调剖技术,通过对含油污泥组分和颗粒粒径分布测试分析,研制出合适的含油污泥深度调剖剂,室内评价结果表明:该调剖剂抗剪切能力强,热稳定性好,适用于80℃以下油藏,可提高驱油效率31.8%,不仅提高了注水开发效果,而且为解决油田含油污泥污染环境问题提供了一个途径。  相似文献   
9.

China and India are the largest coal consumers and the most populated countries in the world. With industrial and population growth, the need for energy has increased, which has inevitably led to an increase in carbon dioxide (CO2) emissions because both countries depend on fossil fuel consumption. This paper investigates the impact of energy consumption, financial development (FD), gross domestic product (GDP), population, and renewable energy on CO2 emissions. The study applies the long short-term memory (LSTM) method, a novel machine learning (ML) approach, to examine which influencing driver has the greatest and smallest impact on CO2 emissions; correspondingly, this study builds a model for CO2 emission reduction. Data collected between 1990 and 2014 were analyzed, and the results indicated that energy consumption had the greatest effect and renewable energy had the smallest impact on CO2 emissions in both countries. Subsequently, we increased the renewable energy coefficient by one and decreased the energy consumption coefficient by one while keeping all other factors constant, and the results predicted with the LSTM model confirmed the significant reduction in CO2 emissions. Finally, this study forecasted a CO2 emission trend, with a slowdown predicted in China by 2022; however, CO2 emission’s reduction is not possible in India until 2023. These results suggest that shifting from nonrenewable to renewable sources and lowering coal consumption can reduce CO2 emissions without harming economic development.

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