Safety-related conclusions for the application of ultrasound in explosive atmospheres

International safety regulations such as EN 1127-1 consider ultrasound to be an ignition source. Currently, applications of ultrasound in explosive atmospheres have to comply with a threshold value of 1 mW/mm². However, it is unclear as to how this intensity has to be measured and, therefore, this threshold value is poorly defined. Moreover, it is based on theoretical estimations in analogy to other ignition sources and there are no publications or significant records on these estimations. Within a research project at PTB, it has now been investigated experimentally in relation to worst-case considerations including airborne ultrasound, focused MHz ultrasound in liquids and acoustic cavitation. On the basis of the results of the research it is now possible to revise the current regulations and to specify measures for safe operation of ultrasonic applications in explosive atmospheres. In this context, for ultrasound coupled directly to gaseous atmospheres a new threshold value of 170 dB (re. 20 μPa) can be suggested, and for ultrasonic applications in liquids, an augmentation can be made to the threshold to 400 mW/mm².     

稳定同位素混合模型揭示的长江下游新石器时代人群摄食策略

长江下游地区是稻作农业的主要起源地之一。然而,水稻对长江下游新石器时代人群饮食的贡献程度仍不清晰。稳定同位素混合模型能够量化揭示长江下游地区史前人群的摄食策略。系统收集长江下游地区已发表的人骨、动物骨和植物稳定碳氮同位素数据,基于稳定同位素混合模型,对长江下游地区新石器时代人群的摄食策略进行研究。结果发现：距今7.0—5.3 ka长江下游地区人群可能摄食多种动植物资源,该时期水稻对人类饮食的贡献与其他植物资源基本相当。距今5.3—4.3 ka,水稻已超过其他动植物资源,成为美人地遗址人群的主要食物资源。研究揭示了长江下游新石器时代文明化进程与稻作农业发展具有同步性,狩猎采集经济则为该区域文明化进程起到基础支撑作用。     

Effects of several amendments on rice growth and uptake of copper and cadmium from a contaminated soil

Heavy metals in variable charge soil are highly bioavailable and easy to transfer into plants. Since it is impossible to completely eliminate rice planting on contaminated soils, some remediation and mitigation techniques are necessary to reduce metal bioavailability and uptake by rice. This pot experiment investigated the e ects of seven amendments on the growth of rice and uptake of heavy metals from a paddy soil that was contaminated by copper and cadmium. The best results were from the application of limestone that increased grain yield by 12.5–16.5 fold, and decreased Cu and Cd concentrations in grain by 23.0%–50.4%. Application of calcium magnesium phosphate, calcium silicate, pig manure, and peat also increased the grain yield by 0.3–15.3 fold, and e ectively decreased the Cu and Cd concentrations in grain. Cd concentration in grain was slightly reduced in the treatments of Chinese milk vetch and zinc sulfate. Concentrations of Cu and Cd in grain and straw were dependent on the available Cu and Cd in the soils, and soil available Cu and Cd were significantly a ected by the soil pH.     

碳酸钙和海泡石组配对水稻中Pb和Cd迁移转运的影响

为研究组配改良剂LS(碳酸钙+海泡石)对农田土壤重金属Pb和Cd的固化效果以及水稻各部位吸收累积Pb和Cd的影响,在湘南2个矿区(矿区A和矿区B)附近污染稻田中施用了不同添加量的LS (0、2、4和8 g/kg),并进行了水稻种植的田间实验。结果表明,(1)施用2~8 g/kg的LS能使矿区A和矿区B土壤pH值分别增加1.11~1.95和1.61~2.31个单位,能使矿区A和矿区B土壤中Pb和Cd的TCLP提取态含量分别降低18.6%~62.7%、15.7%~37.1%和38.6%~66.7%、0~76.6%。(2)LS能不同程度地降低水稻各部位重金属含量。矿区A糙米中Pb和Cd含量降低9.4%~35.6%、56.1%~66.8%;矿区B糙米中Pb含量降低14.4%~36.6%,而Cd含量变化不明显。(3)LS对水稻中Pb和Cd在各部位之间的转运系数均有不同程度的影响,其中Pb和Cd从茎叶到谷壳的转运系数最大,说明水稻茎叶对重金属的转运能力最强。(4)LS添加量为8 g/kg时,Pb和Cd从谷壳到糙米的转运系数最小,且糙米中Pb和Cd含量最低。     

稻壳沸石的合成及其对氨氮的吸附/脱附动力学

以稻壳为原料采用水热合成法制备了沸石,运用XRD、SEM和BET技术表征了合成沸石的结构特性。通过静态实验,研究了合成沸石对氨氮的吸附和脱附机理。结果表明：延长水热合成的晶化时间有利于合成沸石晶核的形成,合成沸石比表面积为28.418 m2·g-1,平均孔径为31.1 nm,孔体积为0.22 m3·g-1,属NaP型微介孔吸附材料。伪二级吸附动力学模型更适合描述合成沸石对氨氮的吸附过程,由伪二级吸附动力学模型拟合得到的平衡吸附量与实测值相差在1.0%以内。颗粒内扩散速率是由膜扩散和内扩散共同控制,颗粒内扩散速率常数kp随初始浓度的增加而提高。MNaOH/ANMNaOH/AN的增大,温度对脱附的促进作用变得越来越小,当MNaOH/AN>1.21时,氨氮的脱附率可达92.1%。伪二级脱附动力学模型的拟合结果优于伪一级,碱当量高于临界值之后对提高合成沸石脱附氨氮的效果不大。     

Numerical model of flow and pollutant transportation in non-orthogonal curvilinear coordinates

The planar 2D k-ε double equations‘ turbulence model was adopted and transformed into non-orthogonal curvilinear coordinates. The concentration convection-diffusion was introduced to planar 2D SIMPLEC algorithm of flow in non-orthogonal curvilinear coordinates. The numerical model of pollutant transportation in non-orthogonal curvilinear coordinates was constructed. The model was applied to simulate the flow and pollutant concentration fields. In the testing concentration field, two optimal operations of contamination discharging both along bank and in the centerline at the first bend of the meandering channel were adopted. Comparison with available data showed the model developed was successful, was valuable to engineering application.     

铬渣的热解无害化处理

采用热解工艺无害化处理铬渣,探讨了稻秆在铬渣无害化处理中的作用.研究了热解温度、稻秆与铬渣质量比、铬渣粒径及保温时间对铬渣热解无害化处理的影响,并分析了热解前后热解产物中铬元素形态的变化.结果表明,热解工艺能有效地将铬渣中Cr(Ⅵ)还原,稻秆热解过程中产生的气相挥发分对Cr(Ⅵ)的还原起核心作用.较为适宜的热解条件:热解温度为400 ℃,稻秆与铬渣质量比为0.10,铬渣粒径<2 000 μm,保温时间为10 min.在该热解条件处理下,热解产物中的Cr(Ⅵ)质量浓度为121 mg/kg,低于热解前铬渣中的Cr(Ⅵ)(3 400 mg/kg).热解后,可交换态及碳酸盐结合态铬含量降低,大部分铬转化成了稳定的有机结合态和残渣态,极大地降低了铬渣的危害.第一作者:张大磊,男,1982生,博士研究生,研究方向为固体废弃物热处理.     

钒胁迫对水稻幼苗生理生化和富集特性的影响

水稻（Oryza.sativa L.）是我国最重要的粮食作物之一,水稻产量占粮食总产量的一半以上,一旦水稻受到重金属污染,将会影响水稻植株的正常生长和生理特性。目前关于钒胁迫对水稻植株生理特性指标的影响方面报道较少。通过水培实验,研究了不同钒（V）质量浓度（0、4、8、12、16、20 mg·L-1）对水稻幼苗（Oryza.sativa L）生理生化和富集特性的影响。结果表明：随着V胁迫浓度的增加,叶绿素含量、可溶性蛋白含量、过氧化氢酶（CAT）活性、过氧化物酶（POD）活性、超氧化物歧化酶（SOD）等均呈现先上升、后下降的变化趋势。当ρ（V）≤12 mg·L-1,与对照相比较,叶绿素含量、可溶性蛋白含量和酶活性增大了135.3%、104.2%、77.8%（CAT）、84.5%（POD）和273.2%（SOD）;当ρ（V）〉12 mg·L-1,则分别降低37.2%、39.4%、41.1%、24.1%和24.5%。随着 V 胁迫浓度的增加,丙二醛（MDA）含量和细胞膜透性逐渐增大,与对照相比,分别增加了38.5%~289.3%、21.2%~303.2%,根系活力下降了10.9%~82.2%。可见,低ρ（V）（≤12 mg·L-1）对水稻幼苗的生长有一定的刺激作用,水稻幼苗自身保护酶表现出较强的自我调节能力;高ρ（V）（〉12 mg·L-1）明显抑制叶绿素和蛋白合成、抗氧化酶活性和根系活力,伤害了细胞质膜系统,影响水稻幼苗的生长发育。不同V浓度胁迫下,水稻幼苗累积的V含量为：根〉茎叶。随着V胁迫浓度增加,水稻幼苗各器官V含量增大,其中根部增幅远大于茎叶,当ρ（V）从5 mg·L-1增加到40 mg·L-1,与对照相比较,根部增加了0.98~25.3倍,茎叶部增加了0.26~4.74倍。生物富集系数（BF）先增加后降低,最大值为2.8408;迁移系数（TF）下降,最低值为0.1170,说明水稻对V有较强的富集能力,但迁移能力较低,积累的V主要富集在根部,可减轻V对地上部植物的危害。     

环境地表γ计量率、工频电磁场和射频电场监测实验结果对比分析研究

本文通过两实验室针对环境地表γ计量率、工频电磁场和射频电场仪器对比实验,并对结果进行了统计检验。分析结果表明,两者监测数据无显著差异。     

Optimizing mixture properties of biodiesel production using genetic algorithm-based evolutionary support vector machine

Nowadays, biodiesel is used as one of the alternative renewable energy due to the increasing energy demand. However, optimum production of biodiesel still requires a huge number of expensive and time-consuming laboratory tests. To address the problem, this research develops a novel Genetic Algorithm-based Evolutionary Support Vector Machine (GA-ESIM). The GA-ESIM is an Artificial Intelligence (AI)-based tool that combines K-means Chaotic Genetic Algorithm (KCGA) and Evolutionary Support Vector Machine Inference Model (ESIM). The ESIM is utilized as a supervised learning technique to establish a highly accurate prediction model between the input--output of biodiesel mixture properties; and the KCGA is used to perform the simulation to obtain the optimum mixture properties based on the prediction model. A real biodiesel experimental data is provided to validate the GA-ESIM performance. Our simulation results demonstrate that the GA-ESIM establishes a prediction model with better accuracy than other AI-based tool and thus obtains the mixture properties with the biodiesel yield of 99.9%, higher than the best experimental data record, 97.4%.