Spectral Characterization of Four Kinds of Biodegradable Plastics: Poly (Lactic Acid), Poly (Butylenes Adipate-Co-Terephthalate), Poly (Hydroxybutyrate-Co-Hydroxyvalerate) and Poly (Butylenes Succinate) with FTIR and Raman Spectroscopy

Fourier transform infrared microscope and confocal Raman spectroscope were employed in this study to investigate four kinds of biodegradable plastics: poly(lactic acid),poly(butylenes adipate-co-terephthalate), poly(butylenes succinate) and poly(hydroxybutyrate-co-hydroxyvalerate), which are used more and more popularly in everyday life but can not be identified easily with other instruments. Infrared and Raman spectra of the plastics were tentatively interpreted. The indicative peaks to characterize the four polymers were also summarized. The result in this study can help the forensic scientists discriminate the plastics accurately when they occurred as trace evidences in cases, it also offers the producer and environment scientists an effective, non-invasive and fast method to characterize and identify these four polymers.     

Assessing the impacts of current and future concentrations of surface ozone on crop yield with meta-analysis

Meta-analysis was conducted to quantitatively assess the effects of rising ozone concentrations ([O₃]) on yield and yield components of major food crops: potato, barley, wheat, rice, bean and soybean in 406 experimental observations. Yield loss of the crops under current and future [O₃] was expressed relative to the yield under base [O₃] (≤26 ppb). With potato, current [O₃] (31–50 ppb) reduced the yield by 5.3%, and it reduced the yield of barley, wheat and rice by 8.9%, 9.7% and 17.5%, respectively. In bean and soybean, the yield losses were 19.0% and 7.7%, respectively. Compared with yield loss at current [O₃], future [O₃] (51–75 ppb) drove a further 10% loss in yield of soybean, wheat and rice, and 20% loss in bean. Mass of individual grain, seed, or tuber was often the major cause of the yield loss at current and future [O₃], whereas other yield components also contributed to the yield loss in some cases. No significant difference was found between the responses in crops grown in pots and those in the ground for any yield parameters. The ameliorating effect of elevated [CO₂] was significant in the yields of wheat and potato, and the individual grain weight in wheat exposed to future [O₃]. These findings confirm the rising [O₃] as a threat to food security for the growing global population in this century.     

工业有毒物质防治的技术措施

简要介绍了几种毒物防治的技术措施。     

生石灰孔结构对高温脱硫性能的影响

喷钙脱硫工艺的炉内脱硫率 ,不仅受工艺参数的影响 ,还与石灰石分解生成的新生CaO或直接喷入的CaO的表面结构有关。本研究用同一石灰石经不同方法 (煅烧、过烧、煅烧 -水合 -脱水等 )制备了四种具有不同比表面积和孔结构的生石灰。高温脱硫研究表明 :这四种不同孔结构的生石灰 ,具有不同的脱硫率。通过对高温脱硫前后吸着剂宏观结构变化的对比 ,发现半径小于 30 的孔易被反应产物堵塞 ,因而脱硫能力有限 ,而半径大于 5 0 的孔对脱硫更有效。本研究将为提高炉内喷钙的脱硫率、研制和开发高效脱硫剂提供新的途径。     

多级模糊决策在地震预报中的应用

本文把多级模糊决策方法应用于地震预报当中。文中详细论证和推导了多级模糊决策方法与模型。该方法使决策部门可以根据输入前兆的变化随时作出合理的对策。文中还给出了地震预报多级模糊决策数字解实例,并用回顾法讨论了1976年松潘7.2级地震的模糊预报决策。     

贮罐类重大危险源三维风险分级模型研究

为了实现重大危险源分级监管,基于风险管理理论,建立贮罐类重大危险源定性三维分级模型和风险定量分级模型。提出风险评价敏感性因素,选取可能性影响因素、严重性影响因素、敏感性影响因素3类风险评价指标。使用层次分析法(AHP)计算贮罐风险分级指标权重。根据风险可接受准则,将贮罐类重大危险源风险等级划分为4级,实现基于三维风险模型的贮罐类重大危险源快速分级。结果表明:用贮罐类重大危险源三维风险分级模型,通过简单数学模型计算贮罐风险值,能为企业提供风险分级标准,有助于实现政府对贮罐类重大危险源分级监管。