基于大数据挖掘技术的地震舆情感知研究

对地震舆情信息的深入感知和有效管理,能够保障社会和谐发展.提出一个基于大数据技术和深度学习的地震舆情感知平台,基于Hadoop和MongoDB大数据技术实现对海量实时地震舆情数据的处理和存储.基于Word2vec和LSTM的融合模型能够有效实现震后网民的情感识别,为舆情预警提供支持.以台湾5.8级地震舆情数据为例,对该...     

基于BIM的装配式建筑并行施工作业空间冲突识别

为识别装配式建筑施工并行作业之间的空间冲突,分析装配式建筑施工项目现场各类作业空间占用需求,利用BIM技术模拟作业空间占用,引入混合轴向包围盒（AABB）与有向包围盒（OBB）算法,建立施工现场并行作业空间冲突检测模型。结果表明:所建立的模型可有效预测施工现场并行作业之间的空间冲突,为进一步的空间资源优化与项目安全管理提供支撑。     

分子识别作用下光催化降解偶氮染料酸性红GR

合成了β-环糊精(β-CD)与偶氮染料酸性红GR(ARGR)的包结物,并采用红外光谱仪对ARGR、β-CD及β-CD与ARGR的包结物进行了表征,表征结果显示,β-CD与ARGR的包结物的特征峰的峰形和强度与β-CD相似,但峰位有明显的偏移,说明ARGR进入了β-CD空腔与β-CD发生了分子识别作用。采用TiO2作为催化剂,研究了β-CD分子识别后ARGR的光催化降解行为,实验结果表明,在ARGR质量浓度为20.0 mg/L、β-CD浓度为1.8×10-5 mol/L、体系pH为4.0、TiO2加入量为1.0 g/L、光催化反应时间为60 min的条件下,经β-CD分子识别后ARGR的光催化降解率可达100%。     

Spatial and Temporal Variations in Trace Metal Concentrations in the Cockle, Austrovenus Stutchburyi from Otago, New Zealand

This is the first comprehensive study of sources of variation in metal concentrations within the whole tissues of a shallow burrowing, filter-feeding intertidal clam, Austrovenus stutchburyi. Samples were collected from 12 sites in April, August, November and February in 1993–1994 in the vicinity of Otago Harbour and Peninsula, New Zealand. Total tissue trace metal concentrations (μg g⁻¹ dry weight) were measured in individual animals for the essential metals : Mn, Cu, Zn, Ni and the non-essential Cr using trace-metal clean acid-digestion and ICP-OAES techniques. Average metal concentrations were 3–60 μg g⁻¹ for Cu, 40–118 μg g⁻¹ for Zn, 2–12 μg g⁻¹ for Mn, 5–35 μg g⁻¹ for Ni and 1–44 μg g⁻¹ for Cr. These levels decreased with body weight and differed amongst sites except for Cr in February (mid-summer). Highest concentrations occurred at sites close to a city (Dunedin) and within the central harbour region although the Cu, Zn, Ni and Cr concentrations did not correlate with the environmental gradient or season. At one coastal site, samples of both the blue mussel Mytilus galloprovincialis and cockles gave similar trends in trace metal levels. These results suggest that the cockle could be a useful trace metal biomonitor within NZ estuaries.     

Status of the Riparian Ecosystem in the Upper San Pedro River, Arizona: Application of an Assessment Model

A portion of Arizona’s San Pedro River is managed as a National Riparian Conservation Area but is potentially affected by ground-water withdrawals beyond the conservation area borders. We applied an assessment model to the Conservation Area as a basis for monitoring long-term changes in riparian ecosystem condition resulting from changes in river water availability, and collected multi-year data on a subset of the most sensitive bioindicators. The assessment model is based on nine vegetation bioindicators that are sensitive to changes in surface water or ground water. Site index scores allow for placement into one of three condition classes, each reflecting particular ranges for site hydrology and vegetation structure. We collected the bioindicator data at 26 sites distributed among 14 reaches that had similar stream flow hydrology (spatial flow intermittency) and geomorphology (channel sinuosity, flood-plain width). Overall, 39% of the riparian corridor fell within condition class 3 (the wettest condition), 55% in condition class 2, and 6% in the driest condition class. Condition class 3 reaches have high cover of herbaceous wetland plants (e.g., Juncus and Schoenoplectus spp.) along the perennial stream channel and dense, multi-aged Populus-Salix woodlands in the flood plain, sustained by shallow ground water in the stream alluvium. In condition class 2, intermittent stream flows result in low cover of streamside wetland herbs, but Populus-Salix remain abundant in the flood plain. Perennial wetland plants are absent from condition class 1, reflecting highly intermittent stream flows; the flood plain is vegetated by Tamarixa small tree that tolerates the deep and fluctuating ground water levels that typify this reach type. Abundance of herbaceous wetland plants and growth rate of Salix gooddingii varied between years with different stream flow rates, indicating utility of these measures for tracking short-term responses to hydrologic change. Repeat measurement of all bioindicators will indicate long-term trends in hydro-vegetational condition.     

生物表面活性剂产生菌犁头霉菌(Absidia orchidis)的筛选及发酵条件优化

采用植物油为唯一碳源,设计选择培养基,从饭店下水道污泥中筛选出生物表面活性剂产生菌.结果分离到12株菌,其中一株能使发酵液的表面张力值从68 mN·m-1降低到34.5 mN·m-1,具有开发潜力,被选出作进一步的研究.该菌株经鉴定为犁头霉菌(Absidia orchidis).通过正交试验对犁头霉菌的培养条件进行优化,其优化培养条件为:植物油3.6 g·L-1,KH2PO412.1 g·L-1,Na2HPO45 g·L-1,(NH4)2SO4 1 g·L-1,NaNO32 g·L-1,酵母浸膏0.1 g·L-1,MgSO4·7H2O 0.15 g·L-1,NaCl 5 g·L-1,CaCl2 0.1 g·L-1,EDTA 1 g·L-1,KI 0.83μg·L-1,H3PO4 0.01μg·L-1,CoCl2·6H2O 0.048μg·L-1,MnSO4·H2O 0.312μg·L-1,Na2 MoO4·2H2O 0.048μg·L-1,ZnCl2 0.287μg·L-1,CuSO4·5H2O 0.125μg·L-1,初始pH值8,接种量6%.发酵70h时可获得生物表面活性剂的最大收获量,此时发酵液中生物表面活性剂的相对浓度达402倍.     

操作条件对超滤膜运行经济稳定性能的影响

采用正交实验的方法对棕榈油生产废水二级处理出水的超滤工艺条件进行考察和优化,并用膜通量衰减系数、平均跨膜压差及产水量各自加权相加所得综合指标来表征不同超滤操作条件下膜运行的经济稳定性能。正交试验结果表明,减小膜表面流速和产水率,提高处理废水温度均有利于系统经济稳定地运行;各运行参数对综合指标影响的大小顺序为:膜表面平均流速>产水率>温度;在保证出水质量的前提下,最佳组合操作条件为膜表面平均流速0.7m/s,产水率80%,废水温度30℃。     

中温和高温厌氧生物产氢反应器连续运行的研究

采用2个厌氧生物产氢反应器分别在中温(37℃)和高温(55℃)下连续运行.以河底沉积物接种,葡萄糖为基质,在CSTR中成功实现了连续中温厌氧产氢,最高产氢量达8.6L/(L·d),基质产氢摩尔比(H₂/葡萄糖)为1.98.以厌氧产甲烷颗粒污泥接种,蔗糖为基质,在UASB反应器中成功实现了连续高温厌氧产氢过程,最高产氢量达6.8L/(L·d),基质产氢摩尔比(H₂/蔗糖)为3.6.在高温UASB反应器中培养获得了灰白色的产氢颗粒污泥,平均粒径为0.8～1.2mm,沉速为30～40m/h,电镜观察发现其表层生长大量杆状细菌.对2种产氢污泥的总DNA进行提取和纯化,通过PCR扩增和DGGE分析,发现高温和中温厌氧产氢污泥中的大部分真细菌种类相同,但各自的优势菌种明显不同.     

基于GIS的乌梁素海水体富营养化状况的模糊模式识别

利用基于MATLAB 7.0实现的模糊模式识别交叉迭代模型对2006年5—10月分布于乌梁素海各水体功能区的21个水质监测点的富营养化等级进行了模糊模式识别,并在GIS技术支持下,用Arcview的空间分析功能绘制富营养化等级识别结果、对富营养化状态影响权重最大的评价指标总氮(TN)含量和富营养化状态控制元素总磷(TP)含量对应的富营养化等级水体和地表水质等级水体的空间分布月变化Grid专题图.将富营养化状态变化及其分布区域与乌梁素海同期水质监测指标浓度变化及其分布区域进行对比分析及验证.结果表明,富营养化等级识别结果的时空分布与实际情况相符,能够比较准确地反映富营养化等级定量的时空变化趋势.      

循环序批式活性污泥反应器的调试及运行

介绍了循环序批式活性污泥反应器的工艺流程及设计参数、调试和运行情况,分析探讨了系统运行中出现的一些问题。稳定运行期间的检测结果表明,反应器对COD和NH3-N具有较好的去除效果,平均去除率分别达到86.2%和92.1%,但对TP的去除率有待提高。