Research progress and hot spots of hydrothermal liquefaction for bio-oil production based on bibliometric analysis

Environmental Science and Pollution Research - Hydrothermal liquefaction (HTL) of biomass used HTL reaction under high temperature and pressure to produce bio-oil. This technology is considered as...     

Mitigating Impact of Devils Lake Flooding on the Sheyenne River Sulfate Concentration

Devils Lake is a terminal lake located in northeast North Dakota. Because of its glacial origin and accumulated salts from evaporation, the lake has a high concentration of sulfate compared to the surrounding water bodies. From 1993 to 2011, Devils Lake water levels rose by ~10 m, which flooded surrounding communities and increased the chance of an overspill to the Sheyenne River. To control the flooding, the State of North Dakota constructed two outlets to pump the lake water to the river. However, the pumped water has raised concerns about of water quality degradation and potential flooding risk of the Sheyenne River. To investigate these perceived impacts, a Soil and Water Assessment Tool (SWAT) model was developed for the Sheyenne River and it was linked to a coupled SWAT and CE‐QUAL‐W2 model that was developed for Devils Lake in a previous study. While the current outlet schedule has attempted to maintain the total river discharge within the confines of a two‐year flood (36 m³/s), our simulation from 2012 to 2018 revealed that the diversion increased the Sheyenne River sulfate concentration from an average of 125 to >750 mg/L. Furthermore, a conceptual optimization model was developed with a goal of better preserving the water quality of the Sheyenne River while effectively mitigating the flooding of Devils Lake. The optimal solution provides a “win–win” outlet management that maintains the efficiency of the outlets while reducing the Sheyenne River sulfate concentration to ≤600 mg/L.     

16S rDNA克隆文库解析AO-MBR系统中细菌种群多样性

采用分子生物学手段16S rDNA克隆文库方法对缺氧/好氧膜生物反应器(AO-MBR)的好氧池与缺氧池中细菌进行了多样性研究.实验结果表明,好氧池污泥样品的克隆文库包括9个类群,其中变形菌(Proteobacteria)和拟杆菌(Bacteroidetes)在文库中所占比例最大,分别为37.04％和14.81％;其次是酸杆菌(Acidobacteria)、未培养菌(uncultured bacterium)、绿菌(Chlorobi)和未培养的绿弯菌(uncultured Chloroflexi bacterium)、浮霉状菌(Planctomycetes),分别为11.11％、11.11％、7.41％、7.41％和5.56％;硝化螺旋菌(Nitrospirae)和裸藻门(Euglenozoa)所占比例相对较小,均为1.85％.缺氧池样品克隆文库包括10个类群,其中变形菌(Proteobacteria)、拟杆菌(Bacteroidetes)和未培养菌(uncultured bacterium)在文库中所占比例最大,分别为27.91％、13.95％和12.79％;其次是浮霉状菌(Planctomycetes)、酸杆菌(Acidobacteria)和绿弯菌(Chloroflexi),在文库中所占比例分别为9.3％、9.3％和9.3％;硝化螺旋菌(Nitrospirae)、裸藻门(Euglenozoa)、芽单胞菌(Gemmatimonadetes)和放线菌(Actinobacteria)所占比例相对较少,分别为6.98％、8.14％、1.16％和1.16％.两池细菌的主要类群相似,但菌属及比例有所差异,变形菌是系统中的主要脱氮菌属.     

金属加工过程中应力状态的分析方法

分析简单地拉伸、压缩和扭转的情况时,应力状态能容易地被确定.但是,实际上在金属加工过程中材料是承受复杂的应力状态,在模具——工件接触面上增加有摩擦力.而且,这些应力和摩擦力一般地沿着接触面变化.准确的计算或预测载荷、力、应力和温度,不但对设计适宜的设备是重要的,而且对研究工艺期间材料的变化过程也是重要的.本文将讨论材料变形过程中所运用的主要分析方法及其优缺点.     

Thermal conversion of rice husks and sawdust to liquid fuel

The paper focuses on studying the conversion of rice husks and sawdust into liquid fuel. Rice husks, sawdust and their mixture are pyrolyzed at temperatures between 420 and 540 degrees C, and the main product of liquid fuel is obtained. The experimental result shows that the yield of liquid fuel depends on various factors such as feedstock and temperature. The maximum yields for rice husks, sawdust and their mixture are 56%, 61% and 60% at 465, 490 and 475 degrees C, respectively. Analyses with GC-MS and other apparatus show that the liquid fuel is a complicated compound with low caloric value and can be directly used as a fuel oil for combustion in a boiler or a furnace without any upgrading. Alternatively, the fuel can be refined to be used by vehicles.     

蚯蚓生态滤池处理农村生活污水现场试验研究

对蚯蚓生态滤池处理太湖流域农村生活污水进行现场试验研究.通过对蚯蚓同化容量与污染负荷进行单因素分析,得出蚯蚓生态滤池处理农村生活污水的运行参数与运行方式,并据此进行连续运行试验.结果表明,在表面水力负荷1 m3/(m2*d)、湿干比(布水时间和落干时间之比)1∶3、蚯蚓负荷(以单位体积填料中蚯蚓的质量计)12.5 g/L的条件下,蚯蚓生态滤池处理农村生活污水具有可行性与高效性,单级系统的COD、总氮、氨氮和总磷的去除率分别在81%、66%、82%和89%左右.改进蚯蚓床填料、设计通风结构和采取适宜运行方式,是蚯蚓生态滤池成功应用于农村生活污水处理的三大重要因素.     

Comparative on Causes and Accumulation of Selenium in the Tree-rings Ambient High-selenium Coal Combustion Area from Yutangba, Hubei, China

Toxic trace elements emitted during coal combustion are the main sources of air pollution. They are released into the atmosphere mainly in the forms of fine ash, smoke and flue, and thus adversely affect plant, animal and human health. Selenium is one of toxic and the most volatile in coal. Large amount of atmospheric emission of selenium, as well as selenium present and scrubber stockpiles in ash may create serious environmental problems. In the paper, on the basis of investigating the abundance and distribution of selenium in plant-rings during recent 20 years, the bioaccumulation of selenium is explained that selenium in plant, which were collected from the village of selenium-rich coal combustion, is much higher than that in plants collected away from the village of selenium-rich coal combustion. The main origins of selenium are selenium-rich coal combustion and high-selenium rock weathered. The selenium recycle by food chain and selenium will accumulate and redistribute in environments.     

Study on the regional atomized dust suppression technological system based on the measured law of dust concentration distribution in longwall fully mechanized mining faces

Environment, Development and Sustainability - In order to reveal the distribution and migration law of downwind and upwind coal cutting, total dust (TD) and respirable dust (RD) concentration...     

基于两种再分析资料的一次四川盆地大气污染过程气象要素数值模拟研究

利用ECMWF-ERA5和NCEP-FNL再分析资料作为中尺度气象模式WRF（The Weather Research and Forecasting）初始场,对四川盆地2018年1月一次大气污染过程气象要素进行了模拟,对比分析了气温、风速、风向、相对湿度、边界层高度、温廓线的模拟效果,并结合大气超级站观测数据对模拟结果进行评估.结果表明：两种资料均能较好地模拟出气象要素的变化情况,但由于两套资料时空分辨率、采用的模式、同化方案、数据来源和质量控制方案存在一定区别,导致各要素模拟效果并不一致.与NCEP-FNL相比,ECMWF-ERA5模拟的平均相对湿度（59.23%）与观测值差异更小,且均方根误差、偏差较小,分别为9.83%和-0.83%,但NCEP-FNL模拟的平均气温（8.99℃）更接近观测值,且偏差值较小,为-0.04℃.两组模拟结果均显示盆地内部为模拟区域的低风速区,相对湿度模拟值在60%以上,气温高于西部山地地区.NCEP-FNL模拟的盆地内部气温、相对湿度、风速小于ECMWF-ERA5模拟值,但边界层高度模拟值较大.ECMWF-ERA5模拟的逆温强度相比较小,且温度露点差较小.此次污染过程PM_2.5和PM₁₀日均浓度最大值分别为190.1 μg·m^-3和261.0 μg·m^-3,相对湿度增大引发的颗粒物吸湿增长是导致PM_2.5和PM₁₀质量浓度突增的主要原因.