石墨烯基磁性复合材料吸附水中亚甲基蓝的研究

建立了一种超声辅助共沉淀法制备磁性Fe3O4/氧化石墨烯(Fe3O4/GO)纳米粒子.透射电镜和磁滞回线研究表明,该复合物具有小的颗粒尺寸和超顺磁性.该磁性纳米材料可以吸附废水中的染料亚甲基蓝,实验研究了溶液pH值、吸附剂的用量、时间和温度对亚甲基蓝去除率的影响.结果表明,pH值在6~9范围内,Fe3O4/GO都能高效地吸附亚甲基蓝.反应过程在前25 min反应速率很快,到180 min内达到吸附平衡.该磁性纳米材料对亚甲基蓝的吸附符合Langmuir吸附等温模型和准二级动力学方程,吸附过程是一个自发和吸热过程.该吸附材料对亚甲基蓝吸附容量高,在313 K时Fe3O4/GO的饱和吸附量为196.5 mg·g-1.另外,可以方便地通过外部磁场分离回收吸附剂,利用过氧化氢可以再生重复使用,是一种优良的吸附染料废水的材料.     

羟基磷灰石-四氧化三铁-沸石复合材料制备及去除水中刚果红研究

采用可溶性磷酸盐、钙离子、二价铁离子、三价铁离子和天然沸石等材料制备了羟基磷灰石-四氧化三铁-沸石(HAPFe3O4-沸石)复合材料,对该复合材料进行了表征,并考察了该复合材料对水中刚果红的吸附作用.结果表明,HAP-Fe3O4-沸石复合材料对水中的刚果红具备良好的吸附能力.当pH由3增加到4或由7增加到11时,HAP-Fe3O4-沸石复合材料对水中刚果红的去除能力下降;当pH由4增加到7时,对刚果红的吸附能力基本保持不变.HAP-Fe3O4-沸石复合材料对水中刚果红的去除率随吸附剂投加量的增加而增加,而对水中刚果红的单位吸附量则随吸附剂投加量的增加而降低.HAP-Fe3O4-沸石复合材料对水中刚果红的吸附动力学过程可以较好地采用准二级动力学模型加以描述,对刚果红的吸附平衡数据可以采用Langmuir和Freundlich等温吸附模型加以描述.根据Langmuir模型确定的最大吸附容量为117 mg·g-1.(pH 7和303 K).HAP-Fe3O4-沸石复合材料对水中刚果红的吸附是自发吸热并伴随熵增加的过程.当pH为7时,HAP-Fe3O4-沸石复合材料吸附水中刚果红的主要机制包括表面配位作用、氢键作用以及路易斯酸碱反应.采用热再生的方法可以使吸附刚果红后的HAP-Fe3O4-沸石复合材料得到再生,热再生后的复合材料可以循环使用并且对水中刚果红的吸附性能良好.X射线衍射分析结果表明HAP-Fe3O4-沸石复合材料含Fe3O4,磁滞回线结果表明HAP-Fe3O4-沸石复合材料具备较高的磁饱和强度,复合材料吸附刚果红后可以很容易地通过外加磁场的作用快速地与水溶液分离.结果表明,HAP-Fe3O4-沸石复合材料适合作为一种吸附剂去除废水中的刚果红.     

DOC/CCRT老化对柴油公交车气态物排放特性的影响

基于重型底盘测功机,研究新鲜及老化氧化型催化器(DOC)、氧化型催化器耦合催化型颗粒捕集器(DOC+CDPF,CCRT)对在用国Ⅲ柴油公交车进行中国典型城市公交车循环CCBC时一氧化碳(CO)、总碳氢化合物(THC)、一氧化氮(NO)、二氧化氮(NO_2)和氮氧化物(NO_x)、二氧化碳(CO_2)等气态物排放特性的影响.结果表明:采用新鲜及老化DOC/CCRT,均可以降低CO、THC、NO排放,增加NO_2排放,NO_x及CO_2排放基本不变;在怠速、加速、减速及匀速这4种工况下,新鲜DOC比老化DOC对CO、THC氧化效率好,新鲜CCRT比老化CCRT对THC氧化效率好,但老化CCRT对CO氧化效率更好,新鲜DOC/CCRT比老化DOC/CCRT对NO减少幅度高,对NO_2增加幅度高,但对NO_x排放总量基本无影响.     

脱硝催化剂的失活机理及其再生技术

采用SEM、XRD和XRF对电厂失活脱硝催化剂进行表征,探讨其失活原因和机理。结果表明:电厂脱硝催化剂失活的主要原因是活性组分V的流失及碱金属K、碱土金属Ca和As元素造成的催化剂中毒,烟气中飞灰的沉积也有一定的影响。经吹扫、水洗、酸洗和V负载再生,催化剂的各项物化性质基本恢复,NOx转化率基本达到新鲜催化剂的水平。水洗主要去除催化剂中的碱金属,酸洗主要去除As2O3,负载V补充催化剂活性组分。V再生催化剂在较高温度下的抗硫性能更好。     

脱除SO2活性炭的再生方法

分别用溶剂和气体对脱除SO2后失活的活性炭进行了再生。在固定床反应器上考察了再生后活性炭的脱硫性能。实验结果表明：用溶剂再生时,质量分数为60％的HNO3溶液的再生效果最好,活性炭的再生率达到80％以上。用气体再生时,400℃左右时的再生效果最好,活性炭的再生率达到70％以上。再生后活性炭的比表面积和pH是衡量活性炭再生效果的重要参数。在实际脱硫生产中,用H2O对失活活性炭进行反复洗涤再生,是一种经济、实用的方法,活性炭的再生率达60％以上。     

污泥中重金属的去除及回收试验

论述了利用离子交换技术循环使用柠檬酸去除污泥中重金属,并置换回收重金属的适宜工艺条件.经柠檬酸处理后,污泥中90%以上的重金属被去除;柠檬酸处理液中的重金属用离子交换法回收,考察了树脂种类、流速、操作方式等因素对离子交换、再生效果的影响;在适宜工艺条件下,重金属的交换率均为100%,而洗脱率均接近90%;柠檬酸及离子交换树脂循环使用,重金属也得到回收,降低了处理成本.     

Indigenous Systems of Forest Classification: Understanding Land Use Patterns and the Role of NTFPs in Shifting Cultivators’ Subsistence Economies

This article discusses the system of classification of forest types used by the Pwo Karen in Thung Yai Naresuan Wildlife Sanctuary in western Thailand and the role of nontimber forest products (NTFPs), focusing on wild food plants, in Karen livelihoods. The article argues that the Pwo Karen have two methods of forest classification, closely related to their swidden farming practices. The first is used for forest land that has been, or can be, swiddened, and classifies forest types according to growth conditions. The second system is used for land that is not suitable for cultivation and looks at soil properties and slope. The article estimates the relative importance of each forest type in what concerns the collection of wild food plants. A total of 134 wild food plant species were recorded in December 2004. They account for some 80–90% of the amount of edible plants consumed by the Pwo Karen, and have a base value of Baht 11,505 per year, comparable to the cash incomes of many households. The article argues that the Pwo Karen reliance on NTFPs has influenced their land-use and forest management practices. However, by restricting the length of the fallow period, the Thai government has caused ecological changes that are challenging the ability of the Karen to remain subsistence oriented. By ignoring shifting cultivators’ dependence on such products, the involvement of governments in forest management, especially through restrictions imposed on swidden farming practices, is likely to have a considerable impact on the livelihood strategies of these communities.     

Measurement and Management of Human-Induced Patterns of Forest Fragmentation: A Case Study

In many tropical developing countries, the twin pressures of population and poverty are resulting in substantial fragmentation of forests, increasing the probability of extinction for many species, Forest fragmentation occurs when large contiguous forests are perforated by small holes or broken up into edges and smaller patches to form a nonforested matrix of open spaces. Thus, forest fragmentation refers not only to the area of forest cleared, but also to the pattern of this clearance, the resulting forest’s spatial properties. Both characteristics are important for species survivability. Apart from opening up forests to many abiotic and biotic influences, fragmentation can affect species dispersal and migration through its effects on forest connectivity. Landscape ecology conceptualizes connectivity as a gradient of critical thresholds, ranging from the large intact forest to the small unconnected forest patch. This article reports results from a multiple-scale analysis of forest fragmentation in Jamaica’s Cockpit Country, an area of once contiguous forest now under threat from human encroachment. Spatial forest data derived from classification of ETM+ satellite imagery are used to measure fragmentation patterns representing various degrees of forest connectivity and density. The results suggest that, overall, 81% of the region is in forest. However, fragmentation patterns also suggest that this forest is riven with extensive perforations indicative of an early stage in the decline of contiguity. The results provided by the spatial fragmentation model are a first step in the design of effective conservation and rehabilitation plans for the area. The article concludes with a discussion of possible multiscale management options for the region.     

基于无人机多传感吊舱系统的火点实时定位方法

林火定位是林火智能监测设备的核心技术。提出了一种基于激光雷达、红外热像仪及组合惯导多数据融合的火点定位方法。首先设计了一个通用的无人机吊舱系统,并基于ROS框架实现数据采集、数据处理和数据传输等功能;其次提出了一个基于无人机吊舱系统的火点全局定位方案,根据红外热像仪成像特性识别火点,同时将密集点云与红外图像进行数据融合,估计出火点的三维空间位置;然后根据无人机位姿提出了一种基于墨卡托投影的火点全局定位方案,得到了火点的GPS位置。最后通过试验得到了该方案的全局定位精度：在实验中经度最大误差为2.36×10^-5°,纬度最大误差为1.84×10^-5°,高程最大误差为0.926 1 m,为其他林火定位方案提供了技术支持。     

Evaluating the impact of uncertainty and variability on the value chain optimization of a forest biomass power plant using Monte Carlo Simulation

Mathematical programming models have been used to optimize the design and management of forest bioenergy supply chains. A deterministic mathematical model is beneficial for making optimum decisions; however, its applicability to real-world problems may be limited because it does not capture all the complexities, including uncertainties in the parameters, in the supply chain. In this paper, a combination of Monte Carlo Simulation and optimization model is used to evaluate the impact of uncertainty in biomass quality, availability and cost, and electricity prices on the supply chain of a forest biomass power plant. The optimization model is a deterministic mixed integer non-linear model with monthly time steps over a 1-year planning horizon. Variability in biomass quality, i.e. moisture content (MC) and higher heating value (HHV), based on the historical data of a real case study is studied in detail and fitted probability distributions are used in the model, while for electricity prices different scenarios are considered. The results show that the impact of variability in the MC on profit is higher than that of uncertainty in HHV. It is observed that the annual profit ranges between $13.3 million and $17.9 million in the presence of all possible uncertainties while its average is $15.5 million. Uncertainty in biomass availability and cost and electricity price results in the risks of having annual profit of less than $14 million and low monthly storage levels.