不同酶强化污泥为燃料微生物燃料电池特性对比分析

采用单室无膜悬浮阴极微生物燃料电池(MFC),对比分析了蛋白酶和淀粉酶强化剩余污泥为燃料的MFC(ESMFC)产电特性、酶特性和污泥减量化效果。研究表明,投加蛋白酶的ESMFC最大功率密度比对照组增加106.2%,投加淀粉酶时ESMFC最大功率密度比对照组增加48%。蛋白酶作用主要体现在投加后的前12小时,而淀粉酶作用时间则较长,为投加后的前144小时,但在运行前期,由于高温作用,导致系统内的酶活性较强,投加的淀粉酶作用则不明显。投加蛋白酶的系统内TCOD、TSS和VSS去除率分别为82%、65%和85%,而投加淀粉酶的系统内TCOD、TSS和VSS去除率分别达到86%、67%和88%。此研究对于ESMFC中外加酶的选择具有一定意义。     

土壤相对表观极性及其对有机污染物吸附的影响

以干土壤做气相色谱固定相,用测定气相色谱固定液相对极性的方法,测定了广州、四川云阳、太原、乌鲁木齐等地区的６种土壤相对表观极性（SRP）,及其基本性质。结果表明：ＳＲＰ（ｙ）与土壤有机质含量（x₁）、［O＋N］含量（x₂）呈正相关,与粘粒（＜0.01mm）含量（x₃）呈负相关,其关系式为y＝54.2705+17.7698x1+0.1834x₂-0.2014x₃,相关系数γ分别为0.9980、0.9463、-0.8792（n＝6,p<0.05）;随着SRP值的增加,萘和硝基苯的有机质吸附系数K_(om)下降。     

飞行器结构壁板声疲劳损伤智能识别技术研究

目的 针对飞行器结构壁板损伤疲劳问题进行研究,提高对声疲劳损伤的智能识别能力。方法 构建一种基于梯度提升决策树(GBDT)的高效智能识别模型,用于识别飞行器结构壁板的声疲劳损伤。该方法依赖于GBDT模型的强大性能,能够有效处理复杂的非线性关系,并通过迭代学习不断优化识别结果。基于某复合材料结构壁板噪声实测数据,构建时间、速度、标签数据集进行模型验证。结果 基于GBDT的噪声疲劳损伤智能识别准确率为76.8%。结论 基于GBDT的声疲劳损伤智能识别方法具有良好的识别能力,能够在实际应用中对飞行器结构壁板的声疲劳损伤进行有效监测,验证了该方法的有效性和实用性。     

基于环境DNA宏条形码的青岚湖自然保护区鱼类组成及分布特征

为探究在不同引物、不同参考数据库下环境DNA技术检测结果的差异,于2021年4月,采用环境DNA宏条形码技术分析了青岚湖鱼类多样性。选取16S rRNA及Cytb 2种引物,NCBI及本地数据库2种数据库,分别进行比对注释。结果表明:在青岚湖29个采样点中,共检测到7目15科43属64种鱼类,其中在16S-NCBI情形下获得4目9科19属20种鱼类,在16S-本地数据库情形下获得6目13科27属38种鱼类,在Cytb-NCBI情形下获得4目6科16属19种鱼类,在Cytb-本地数据库情形下获得2目5科15属20种鱼类。在青岚湖29个采样点中,鱼类更多地分布于湖面宽阔的中间地带(如S31附近),且南部较北部更少,鱼种的分布呈现一定的空间相似性。就研究区域而言,选择16S rRNA引物及本地数据库可以获得更全面的鱼类物种。通过与青岚湖鱼类历史数据比对发现,环境DNA技术在研究区域具有较强的适用性,如能选择适当的引物和本地数据库,可以更全面地反映研究区域的物种组成情况。     

车用锂离子电池组冷却系统传热仿真分析

目的 解决电动汽车锂离子电池组在高温下的安全性和热失控问题.方法 建立锂离子电池组冷却系统的三维分析模型,应用计算流体动力学(Computational Fluid Dynamics,CFD)方法 ,结合热传导和热对流理论,对电池组进行仿真分析.结果 锂离子电池组的温度场分布基本相同,呈现出中间低、两侧高的分布特点,且...     

Diurnal and spatial variations of soil NOx fluxes in the northern steppe of China

NO_x emissions from biogenic sources in soils play a significant role in the gaseous loss of soil nitrogen and consequent changes in tropospheric chemistry. In order to investigate the characteristics of NO_x fluxes and factors influencing these fluxes in degraded sandy grasslands in northern China, diurnal and spatial variations of NO_x fluxes were measured in situ. A dynamic flux chamber method was used at eight sites with various vegetation coverages and soil types in the northern steppe of China in the summer season of 2010. Fluxes of NO_x from soils with plant covers were generally higher than those in the corresponding bare vegetation-free soils, indicating that the canopy plays an important role in the exchange of NO_x between soil and air. The fluxes of NO_x increased in the daytime, and decreased during the nighttime, with peak emissions occurring between 12:00 and 14:00. The results of multiple linear regression analysis indicated that the diurnal variation of NO_x fluxes was positively correlated with soil temperature (P < 0.05) and negatively with soil moisture content (P < 0.05). Based on measurement over a season, the overall variation in NO_x flux was lower than that of soil nitrogen contents, suggesting that the gaseous loss of N fromthe grasslands of northern China was not a significant contributor to the high C/N in the northern steppe of China. The concentration of NO_x emitted from soils in the region did not exceed the 1-hr National Ambient Air Quality Standard (0.25 mg/m³).