毒死蜱在香蕉、土壤中的残留动态及安全性评价

为了监测香蕉中毒死蜱的残留量,科学、安全地使用毒死蜱防治香蕉上的害虫,确保产品质量,采用气相色谱法及田间试验方法,研究了毒死蜱在香蕉及其土壤中的残留降解动态.结果表明:在香蕉中,毒死蜱的原始沉积量较高,残留降解规律符合一级动力学关系,推荐剂量和加倍剂量处理的降解动态方程分别为y=1.0724e-014149t和y=1.7840e-0.1468t,半衰期(T1/2)为4.8 d,降解99％所需要的时间(T0.99)为31.4～31.8d;在土壤中,毒死蜱的残留降解动态方程为y=6.4365e-1412t,T1/2为4.9d,T0.99为32.7 d.距第2次施药后60～68d,最终在香蕉与土壤中均未检出毒死蜱残留量(检出限为0.005mg/kg).研究表明,漳州蕉区在香蕉生产上科学、合理地施用毒死蜱,其最终残留符合NY/T 750-2011规定的MRL要求,不会对蕉园土壤环境造成污染.     

Co(Ⅱ)在磁性埃洛石上的吸附行为研究

采用化学共沉淀法成功制备了磁性埃洛石,运用扫描电子显微镜(SEM)、红外光谱仪(FT-IR)、X射线衍射仪(XRD)和振动样品磁强计(VSM)等手段详细表征了改性前后埃洛石的结构和形态,并采用静态批量平衡法对Co(Ⅱ)在磁性埃洛石上的吸附行为和机理进行探究,考察了料液比、平衡时间、p H值和温度等因素对吸附的影响.实验结果表明:温度为50℃时,Co(Ⅱ)在磁性埃洛石上的最大吸附容量为17.5mg·g-1.p H7.5时,随着p H增加,吸附量增大;当p H=7.5时,吸附量达到最大;以后即使p H增大,吸附量也不会明显变化.动力学过程符合准二级动力学方程;热力学过程符合Langmuir吸附等温线;升高温度利于Co(Ⅱ)在磁性埃洛石上吸附.     

絮凝动力学的现状与研究方法进展

在絮凝动力学的发展中先后提出了Smoluchowski理论、Camp-Stein理论和微涡旋理论,但迄今尚存在若干不足,特别是还不能全面揭示湍流絮凝的致因,也未能得到符合实际的湍流絮凝速度方程,严重影响了水处理絮凝工艺与设备的设计及放大.近年来,粒子图像速度场仪(PIV)和计算流体力学(CFD)的发展为深入研究絮凝动力学提供了新的手段和方法,有望使湍流絮凝动力学得到进一步发展.     

Analysis of gas dispersion and ventilation within a comprehensive CAD model of an offshore platform via computational fluid dynamics

Maintaining an adequate air flow with a desired air quality that is free from hazardous gases is among the most important actions taken toward the improvement of safety in any process plant. Due to the increased focus on the consequences of existing hazardous material on safety, health, and the environment, air quality and sufficient ventilation within a plant has been increasingly considered in the design stage. This paper investigates and analyzes methane and hydrogen sulfite dispersion and the effect of air ventilation within a CAD model of an offshore platform using computation fluids dynamics (CFD). In addition, this method and its principals could be utilized in any other hazardous environment. Simulations of possible hazardous events along with solutions for preventing or reducing their probability are presented to better assess the data. These investigations are performed by considering hypothetical hazardous scenarios which consist of gas leakages from pipes and process equipment under different conditions. After drafting a precise and highly detailed CAD model of the plant and performing CFD simulations on this model, the results of gas behaviors, dispersion, distribution, accumulation, and its possible hazards are investigated and analyzed. The larger amount of details of the actual plant model in CFD simulation are obtained by using a combination of different methods and software. These include PDMS for 3-D drawing of the plan, Rinoceros for geometrical integration of the process equipment and facilities, and Sharc Harpoon which meshes the model. Moreover, the probability of inducing ignitable or toxic concentration of gases within the atmosphere and air ventilation of the unit is considered by these investigations.     

Experimental data and CFD performance for cloud dispersion analysis: The USP-UPC project

Forecasting the behaviour of a flammable or toxic cloud is a critical challenge in quantitative risk analysis. Recent literature shows that empirical and integral models are unable to model complex dispersion scenarios, like those occurring in semi-confined spaces or with the presence of physical barriers. Although CFD simulators are promising tools in this regard, they still need to be fully validated with comprehensive datasets coming from experimental campaigns designed ad-hoc. In this paper, we present an experimental campaign carried out by a joint venture between University of São Paulo and Universitat Politècnica de Catalunya to investigate CFD tools performance when used to analyse clouds dispersion. The experiments consisted on propane cloud dispersion field tests (unobstructed and with the presence of a fence obstructing the flow) of releases up to 0.5 kg s⁻¹ of 40 s of duration in a discharge area of 700 m². We provide a full 1-s averaged propane concentration evolution dataset of two experiments, extracted from 29 points located at different positions within the cloud, with which we have tested FLACS^® CFD-software performance. FLACS reproduces successfully the presence of complex geometry, showing realistic concentration decreases due to cloud dispersion obstruction by the existence of a fence. However, simulated clouds have not represented the whole complex accumulation dynamics due to wind variation.     

Numerical modeling of water spray suppression of conveyor belt fires in a large-scale tunnel

Conveyor belt fires in an underground mine pose a serious life threat to miners. Water sprinkler systems are usually used to extinguish underground conveyor belt fires, but because of the complex interaction between conveyor belt fires and mine ventilation airflow, more effective engineering designs are needed for the installation of water sprinkler systems. A computational fluid dynamics (CFD) model was developed to simulate the interaction between the ventilation airflow, the belt flame spread, and the water spray system in a mine entry. The CFD model was calibrated using test results from a large-scale conveyor belt fire suppression experiment. Simulations were conducted using the calibrated CFD model to investigate the effects of sprinkler location, water flow rate, and sprinkler activation temperature on the suppression of conveyor belt fires. The sprinkler location and the activation temperature were found to have a major effect on the suppression of the belt fire, while the water flow rate had a minor effect.     

环境作用动力学基础及应用

目的优化原有的环境作用动力学理论模型。方法在原有环境作用动力学理论模型的基础上,提出环境适应性、环境响应性、变化重复性等3个概念,修改蠕变动力学理论模型的假设2。结果形成了由8个定义、2个假设组成的更加完善的环境作用动力学理论模型。结论新的环境作用动力学理论模型涵盖了蠕变动力学理论模型和原有的环境作用动力学理论模型,应用范围得到大大扩展。     

茚虫威在土壤中的消解动态研究

茚虫威是一种广谱高效的氨基甲酸酯类杀虫剂,低毒低残留。采用气相色谱法对茚虫威在土壤中的残留进行分析,采用田间试验方法研究了茚虫威在土壤中的消解动态。结果表明,茚虫威在土壤中消解较快,其残留消解动态曲线符合化学反应一级动力学方程,在土壤中的半衰期为7.6天。说明茚虫威使用后在环境(土壤)中可以较快地消解,从而可以较好地保障生产安全。     

不同16SrDNA靶序列对DGGE分析活性污泥群落的影响

为探讨不同通用引物扩增16S rDNA靶序列对活性污泥微生物群落分析的影响,更合理的利用变性梯度凝胶电泳(DGGE)技术分析活性污泥样品.从连续流搅拌槽式反应器(CSTR)中获取活性污泥,以3对通用引物341f/534r、968f/1 401r和341f/926r扩增16S rDNA序列,用DGGE分离PCR扩增产物.研究表明采用不同引物对进行DGGE分析时,群落多样性和动态存在显著的差异.341f/534r和968f/1 401r的靶序列分离效果较好,341f/926r的靶序列分离效果较差.引物341f/534r和341f/926r DGGE图谱显示S2和S3相似性高,引物968f/1 401r DGGE图谱显示S1和S2相似性高.由此可见采用不同引物对进行DGGE分析时,群落结构之间的相似性和动态是不一致的.341f/534r的DGGE图谱中条带丰富,多样性最好,968f/1 401r的DGGE图谱次之,341f/926r DGGE图谱条带最少,多样性也较差.因此,在利用DGGE分析活性污泥样品时采用引物341f/534r和968f/1 401r是比较适宜的.     

Individual-based modelling of fishermen search behaviour with neural networks and reinforcement learning

A model to mimic the search behaviour of fishermen is built with two neural networks to cope with two separate decision-making processes in fishing activities. One neural network deals with decisions to stay or move to new fishing grounds and the other is constructed for the purpose of finding prey within the fishing areas. Some similarities with the behaviour of real fishermen are found: concentrated local search once a prey has been located to increase the probability of remaining near a prey patch and the straightforward movement to other fishing grounds. The artificial fisherman prefers areas near the port when conditions in different fishing grounds are similar or when there is high uncertainty in its world. In the latter case a reluctance to navigate to other areas is observed. The artificial fisherman selects areas with higher concentration of prey, even if they are far from the port of departure, unless a high uncertainty is related to the fishing ground. Connected areas are preferred and followed in orderly fashion if a higher catch is expected. The observed behaviour of the artificial fisherman in uncertain scenarios can be described as a risk-averse attitude. The approach seems appropriate for an individual-based modelling of fishery systems, focusing on the learning and adaptive characteristics of fishermen and on interactions that take place at a fine scale.