过去300a长江中下游异常丰梅事件变化与洪涝灾害

2016年6—7月,长江流域发生重大洪涝灾害,给社会生产和人民生活带来严重损失。而该时段内梅雨因其强降水过程频繁、持续时间长、雨量集中等特点成为主要致灾因子。论文利用历史文献和观测资料,构建了1736年以来异常丰梅事件年表,分析了其长期变化特征及与El Ni?o事件的统计关系,并诊断了El Ni?o造成异常丰梅事件的大气环流背景。结果表明:1736—2016年间共发生44次异常丰梅事件(含21次特大梅雨事件),其中1900年代、1910年代、1990年代是异常丰梅事件最为频繁的3个时段;与2016年梅雨特征相近的特大梅雨事件有21次。过去300 a间,异常丰梅事件与El Ni?o存在较好的对应关系,44次异常丰梅事件中37次发生在El Ni?o的当年或次年;在21次特大梅雨事件中16次伴随El Ni?o出现。伴随El Ni?o事件而发生的异常丰梅事件环流特点是中高纬经向环流偏强,我国境内水汽输送通道偏西、偏北,大量水汽滞留在长江流域,并与南下的冷空气交汇,从而形成持续性降水;而在El Ni?o次年,低纬存在较强且稳定的副热带高压,水汽输送路径偏北,长江中下游水汽输送通量显著增强,更容易导致异常丰梅事件的发生。     

R&D prospects in the mining and metals industry

The mining and metals industry is considered more-or-less technology mature as it spends less than 1% of its revenues on R&D. In the period 2003-2008, that sector saw a very significant increase in profitability. Yet, during the same period, mining and metals companies continued to trim R&D spending, a trend that started in the early 1980s. In the near future the mining and metals industry will face significant challenges including an increased demand from the developing world counterbalanced by an overall trend to lower ore grades and with high pressure to reduce energy consumption and carbon dioxide emissions. To overcome these challenges, the mining and metals industry will likely face the need to considerably increase its R&D efforts. As the world enters a period of economic uncertainty, the sector will need to revise its approach towards R&D, reconsider its position against collaborative research with academia and other institutions, and be more creative when it comes to R&D funding.     

HUD状态下飞行员视觉注意资源分配机制研究

为了解决平视显示器（Head Up Display,HUD）飞行中的注意资源分配问题,基于飞行模拟器,设计双作业飞行任务开展相关研究。基于事件相关电位（Event Related Potential,ERP）技术,选取行为绩效和P300成分为评价指标,采用oddball模式,在双作业飞行任务条件下开展实验研究。结果表明:随主任务难度的增加,主、辅任务的作业绩效均显著下降,被试者对HUD上异常信息的正确操作率降低,且反应时间延长;随主任务难度的增加,由辅任务所诱发的P300的波幅显著降低。在实验结果的基础上,最终提出了HUD状态下飞行员视觉注意资源分配机制。     

Quantifying progress toward a conservation assessment for all plants

The Global Strategy for Plant Conservation (GSPC) set an ambitious target to achieve a conservation assessment for all known plant species by 2020. We consolidated digitally available plant conservation assessments and reconciled their scientific names and assessment status to predefined standards to provide a quantitative measure of progress toward this target. The 241,919 plant conservation assessments generated represent 111,824 accepted land plant species (vascular plants and bryophytes, not algae). At least 73,081 and up to 90,321 species have been assessed at the global scale, representing 21–26% of known plant species. Of these plant species, at least 27,148 and up to 32,542 are threatened. Eighty plant families, including some of the largest, such as Asteraceae, Orchidaceae, and Rubiaceae, are underassessed and should be the focus of assessment effort if the GSPC target is to be met by 2020. Our data set is accessible online (ThreatSearch) and is a baseline that can be used to directly support other GSPC targets and plant conservation action. Although around one‐quarter of a million plant assessments have been compiled, the majority of plants are still unassessed. The challenge now is to build on this progress and redouble efforts to document conservation status of unassessed plants to better inform conservation decisions and conserve the most threatened species.     

Monitoring Of Vehicles Derived Particulates Using Magnetic Properties Of Leaves

Biomonitoring of vehicle-derived particulates is conducted by taking magnetic measurements of roadside tree leaves. Remanent magnetization (IRM_{300 mT}) of more than 400 Delbergia sissoo leaves was determined and IRM_{300 mT} normalized for the leaf area. The normalized 2-D magnetization as shown by results is dominantly controlled by the tree's distance to the road. The spatial and temporal variations of vehicle-derived particulates were mapped using magnetic analysis. 2D-magnetizations values were higher for leaves collected adjacent to major road sections than for those from village road suggesting vehicle emissions, rather than resuspended road dust, as the major cause of magnetic particles of roadside tree leaves. Vehicles derived particulates are responsible for tree leaf magnetism, and the leaf magnetizations values fall significantly from high values proximal to the roadside to lower values at the distal side. This suggests the ability of trees to reduce particulates concentrations in the atmosphere. The rainfall produces a net decrease in the leaf magnetic dust loadings.     

Management of hazardous road derived respirable particulates using magnetic properties of tree leaves

The magnetic properties of tree leaves along with their ecological, economical and aesthetic importance can be used to control road derived respirable particulates. Isothermal remanent magnetization (IRM₃₀₀ mT) of three different tree leaves viz. Mango (Mangifera indica), Sisso (Dalbergia sisso) and Banyan (Ficus benghalensis) were determined and IRM₃₀₀ mT normalized for the leaf area. The normalized 2-D magnetization of leaves as shown by results is dominantly controlled by leaf morphology and traffic density. F. benghalensis (Banyan) leaf has highest 2-D magnetization and D. sisso (Sisso) leaf having least 2-D magnetization suggesting greater ability of F. benghalensis (Banyan) tree leaves to reduce magnetic particulates. The particle size of the magnetic grains falls in the category of PM2.5, a particle size hazardous to human health due to its capacity to be inhaled deeply into the lungs.     

炭化柚子皮对废水中双酚A的吸附

采用磷酸二氢钾活化原材料柚子皮,分别在300℃和600℃对活化后柚子皮进行炭化,制得吸附剂（CC300和CC600）,通过静态吸附实验研究了炭化柚子皮对双酚A的吸附性能。采用比表面积分析仪对炭化柚子皮进行表征,实验考察了pH值、吸附时间和温度对双酚A吸附的影响,并详细研究了炭化柚子皮对双酚A的吸附行为和机理。结果表明,高温炭化柚子皮（CC600）吸附双酚A能力比低温炭化（CC300）的强,其吸附较好地满足Langmuir和Freundlich等温方程;动力学研究表明,其吸附速率快,在150min内能达到吸附平衡,准二级动力学模型较好地描述该吸附行为,相关系数高达0．99：计算了热力学参数△G、△H和△S的值,△G为负值,说明该吸附过程为自发过程。     

Zn / Al 双金属氧化物对水中硫酸根离子的吸附性能简

研究了用Zn/Al水滑石制得的Zn/Al双金属氧化物（Zn/Al-300）吸附剂对水中硫酸根离子的吸附,考查了吸附剂投加量、初始pH等因素对硫酸根离子吸附的影响。结果表明,Zn/Al-300对水中硫酸根离子的吸附符合Langmuir吸附等温方程,理论最大吸附量为62.5 mg/g。运用动力学方程进行拟合,吸附过程符合准二级动力学方程;溶液的pH影响吸附剂对硫酸根的吸附,在pH=5.5时硫酸根的去除率最大;X射线衍射结果显示,水滑石经过焙烧后丧失了原有的构形,并在吸附硫酸根离子后重新恢复水滑石的部分层状结构。吸附机制主要为Zn/Al-300从溶液中获取阴离子以重建水滑石的晶体结构,即“记忆效应”。对吸附后的双金属氧化循环应用4此后,吸附容量几乎不变,说明双金属氧化物具有可循环型。通过将Zn/Al-300与其他几种吸附剂的经济性分析,表明此吸附剂在使用过程中具有一定优势。     

飞灰哌嗪类螯合剂固化/稳定化体中重金属释放机理

生活垃圾焚烧飞灰中重金属对环境产生较大危害,而对其的固化/稳定化成为飞灰处理处置中的首要问题。用普通硅酸盐水泥处理垃圾焚烧飞灰较为普遍,为降低能耗提高产品效益,研究了新型大分子有机螯合剂哌嗪-N,N'-双二硫代羧酸钠（TS300）协同不同用量的水泥（30%、40%）固化飞灰中重金属的能力。探究了TS300对目标重金属Zn、Cd、Cr、Pb、Ni的浸出浓度、化学形态和微观结构的影响。结果表明：TS300协同水泥可有效固定飞灰中的重金属,降低浸出浓度60%以上;重金属Cr、Cd、Pb、Ni经固化后的化学形态整体向更稳定的方向移动;随着TS300和水泥添加量的增大,固化块晶体组成更稳定、抗酸强度上升且孔隙致密度增加,其中水泥添加量40%、TS300添加量8%的固化块重金属浸出浓度最低,固化效果最佳。综上,探究TS300协同水泥固化/稳定化重金属的效果和机理,有利于探究不同飞灰处理处置方式的优劣,分析水泥协同药剂固化稳定化飞灰重金属的效果,降低填埋场渗滤液的环境风险,为后续飞灰重金属螯合剂的研发提供新思路。

     

The Environmental sustainability of mining in Australia: key mega-trends and looming constraints

At first ‘sustainable mining’ could be perceived as a paradox—minerals are widely held to be finite resources with rising consumption causing pressure on known resources. The true sustainability of mineral resources, however, is a much more complex picture and involves exploration, technology, economics, social and environmental issues, and advancing scientific knowledge—predicting future sustainability is therefore not a simple task. This paper presents the results from a landmark study on historical trends in Australian mining, including ore milled, ore grades, open cut versus underground mining, overburden/waste rock and economic resources. When complete data sets are compiled for specific metals, particular issues stand out with respect to sustainability—technological breakthroughs (e.g. flotation, carbon-in-pulp), new discoveries (e.g. uranium or U), price changes (e.g. Au, boom/bust cycles), social issues (e.g. strikes), etc. All of these issues are of prime importance in moving towards a semi-quantitative sustainability model of mineral resources and the mining industry. For the future, critical issues will continue to be declining ore grades (also ore quality and impurities), increased waste rock and associated liabilities, known economic resources, potential breakthrough technologies, and broader environmental constraints (e.g. carbon costs, water). For this latter area, many companies now report annually on sustainability performance—facilitating analysis of environmental sustainability with respect to production performance. By linking these two commonly disparate aspects—mining production and environmental/sustainability data—it becomes possible to better understand environmental sustainability and predict future constraints such as water requirements, greenhouse emissions, energy and reagent inputs, and the like. This paper will therefore present a range of fundamental data and issues which help towards quantifying the resource and environmental sustainability of mining—with critical implications for the mining industry and society as a whole.