BiVO_4催化剂的离子液体辅助水热合成及其可见光催化活性

采用溴化1-丁基-3-甲基咪唑([Bmim]Br)离子液体辅助水热合成法制备了光催化剂Bi VO4。以高压氙灯作为可见光源,亚甲基蓝为目标污染物,考察反应温度、p H、反应时间和离子用量等制备条件对Bi VO4的可见光催化活性的影响,确定了最佳制备条件。并采用XRD、SEM和UV-Vis漫反射等分析手段对催化剂的晶相、形貌和光学特性进行了表征。结果表明,在离子液体加入量为2 m L、p H=4、反应温度为180℃、反应时间为4 h的条件下,制得的Bi VO4催化剂的可见光光催化活性最高。制得的Bi VO4为单斜相,呈分散的、大小均匀的片状,在200~500 nm范围有一个较宽的强吸收平台,具有良好的可见光催化活性,在可见光照射下对浓度为5 mg/L的亚甲基蓝的光催化脱色率达97%以上。     

Coffee husk composting: An investigation of the process using molecular and non-molecular tools

Various parameters were measured during a 90-day composting process of coffee husk with cow dung (Pile 1), with fruit/vegetable wastes (Pile 2) and coffee husk alone (Pile 3). Samples were collected on days 0, 32 and 90 for chemical and microbiological analyses. C/N ratios of Piles 1 and 2 decreased significantly over the 90 days. The highest bacterial counts at the start of the process and highest actinobacterial counts at the end of the process (Piles 1 and 2) indicated microbial succession with concomitant production of compost relevant enzymes. Denaturing gradient gel electrophoresis of rDNA and COMPOCHIP microarray analysis indicated distinctive community shifts during the composting process, with day 0 samples clustering separately from the 32 and 90-day samples. This study, using a multi-parameter approach, has revealed differences in quality and species diversity of the three composts.     

不同粒径炉渣对磷的静态吸附

研究了不同粒级炉渣对含磷废水的静态等温吸附性能,为其在污水处理领域的有效利用和合理级配提供理论依据。经筛分得到<0.2 mm、0.2~0.45 mm、0.45~0.9 mm、0.9~2 mm、2~4 mm、4~6 mm、≥6 mm的7个粒级的供试炉渣,其中0.9~4 mm粒级占总量的64.54%。XRD、XRF分析显示,各粒级炉渣物相组成相似,<0.2 mm粒级炉渣中活性铝含量最高。静态吸附实验表明,炉渣对磷素的最大吸附量为4 021 mg/kg,最佳吸附时间为24 h;Langmuir和Freundlich吸附等温线可较好地拟合各粒级炉渣对溶液中磷素的吸附,而小于0.9 mm粒级炉渣具有更高的拟合度;炉渣粒径越小,吸附能力越强,<0.2 mm粒级炉渣的理论饱和吸附容量达14 084 mg/kg,≥6 mm粒级炉渣吸附磷素能力差;受粒径、溶液含磷浓度等因素影响,炉渣的平均理论吸附容量为1 142.4 mg/kg。     

超声辐射浸渍法制备Fe-Ni-Mn/Al2O3催化剂及性能研究

以Al2O3为载体,分别采用超声辐射浸渍法和普通浸渍方法制备Fe-Ni-Mn/Al2O3催化剂。采用BET、XRD和SEM对催化剂的理化性质和孔结构进行了分析,以模拟酸性绿B废水为研究对象考察催化剂的催化性能。实验结果表明,浸渍溶液pH值和焙烧温度显著影响催化剂的性能。与普通浸渍法相比,超声浸渍法制备的Fe-Ni-Mn/Al2O3催化剂对酸性绿B脱色反应表现出较高的催化活性。     

Efficient and equitable design of marine protected areas in Fiji through inclusion of stakeholder‐specific objectives in conservation planning

The efficacy of protected areas varies, partly because socioeconomic factors are not sufficiently considered in planning and management. Although integrating socioeconomic factors into systematic conservation planning is increasingly advocated, research is needed to progress from recognition of these factors to incorporating them effectively in spatial prioritization of protected areas. We evaluated 2 key aspects of incorporating socioeconomic factors into spatial prioritization: treatment of socioeconomic factors as costs or objectives and treatment of stakeholders as a single group or multiple groups. Using as a case study the design of a system of no‐take marine protected areas (MPAs) in Kubulau, Fiji, we assessed how these aspects affected the configuration of no‐take MPAs in terms of trade‐offs between biodiversity objectives, fisheries objectives, and equity in catch losses among fisher stakeholder groups. The achievement of fisheries objectives and equity tended to trade‐off concavely with increasing biodiversity objectives, indicating that it is possible to achieve low to mid‐range biodiversity objectives with relatively small losses to fisheries and equity. Importantly, the extent of trade‐offs depended on the method used to incorporate socioeconomic data and was least severe when objectives were set for each fisher stakeholder group explicitly. We found that using different methods to incorporate socioeconomic factors that require similar data and expertise can result in plans with very different impacts on local stakeholders.     

Building robust conservation plans

Systematic conservation planning optimizes trade‐offs between biodiversity conservation and human activities by accounting for socioeconomic costs while aiming to achieve prescribed conservation objectives. However, the most cost‐efficient conservation plan can be very dissimilar to any other plan achieving the set of conservation objectives. This is problematic under conditions of implementation uncertainty (e.g., if all or part of the plan becomes unattainable). We determined through simulations of parallel implementation of conservation plans and habitat loss the conditions under which optimal plans have limited chances of implementation and where implementation attempts would fail to meet objectives. We then devised a new, flexible method for identifying conservation priorities and scheduling conservation actions. This method entails generating a number of alternative plans, calculating the similarity in site composition among all plans, and selecting the plan with the highest density of neighboring plans in similarity space. We compared our method with the classic method that maximizes cost efficiency with synthetic and real data sets. When implementation was uncertain—a common reality—our method provided higher likelihood of achieving conservation targets. We found that χ, a measure of the shortfall in objectives achieved by a conservation plan if the plan could not be implemented entirely, was the main factor determining the relative performance of a flexibility enhanced approach to conservation prioritization. Our findings should help planning authorities prioritize conservation efforts in the face of uncertainty about future condition and availability of sites.     

Spatial patterns of carbon,biodiversity, deforestation threat,and REDD+ projects in Indonesia

There are concerns that Reduced Emissions from Deforestation and forest Degradation (REDD+) may fail to deliver potential biodiversity cobenefits if it is focused on high carbon areas. We explored the spatial overlaps between carbon stocks, biodiversity, projected deforestation threats, and the location of REDD+ projects in Indonesia, a tropical country at the forefront of REDD+ development. For biodiversity, we assembled data on the distribution of terrestrial vertebrates (ranges of amphibians, mammals, birds, reptiles) and plants (species distribution models for 8 families). We then investigated congruence between different measures of biodiversity richness and carbon stocks at the national and subnational scales. Finally, we mapped active REDD+ projects and investigated the carbon density and potential biodiversity richness and modeled deforestation pressures within these forests relative to protected areas and unprotected forests. There was little internal overlap among the different hotspots (richest 10% of cells) of species richness. There was also no consistent spatial congruence between carbon stocks and the biodiversity measures: a weak negative correlation at the national scale masked highly variable and nonlinear relationships island by island. Current REDD+ projects were preferentially located in areas with higher total species richness and threatened species richness but lower carbon densities than protected areas and unprotected forests. Although a quarter of the total area of these REDD+ projects is under relatively high deforestation pressure, the majority of the REDD+ area is not. In Indonesia at least, first‐generation REDD+ projects are located where they are likely to deliver biodiversity benefits. However, if REDD+ is to deliver additional gains for climate and biodiversity, projects will need to focus on forests with the highest threat to deforestation, which will have cost implications for future REDD+ implementation.     

中国农村居民点用地变化的社会经济因素分析

基于2000-2008年省级单元的土地利用和社会经济统计数据,探讨来自区域、城镇和农村的社会经济因素对农村居民点用地扩张的作用机制,认为农村居民点用地扩张受到农村自身社会经济发展和城镇社会经济发展的双重作用,一方面区域和农村社会经济推动了农村居民点用地规模扩张,另一方面工业化和城镇化进程引起的城镇空间扩张,缓解了农村居民点用地扩张的趋势,在此"一增一减"双重作用下,农村居民点用地呈现缓慢增长趋势。相比于来自区域和城镇的社会经济因素,农村自身的社会经济发展因素对于省级单元的农村居民点用地扩张的影响更为重要。不论是对于来自城镇或是农村的社会经济因素,产出效应都比投资和收入效应更明显,在控制产出效应的情况下,来自于城镇和区域的投资和收入效应不再显著。为控制农村居民点用地过度扩张,政府应在健康快速的工业化和城镇化进程中,实施城乡建设用地增减挂钩政策,加大土地开发整理和复垦力度,积极投资农村,提高农用地产出,以有效引导农村居民点用地节约集约利用。     

Development of statistical models for predicting muscle and mental activities during repetitive precision tasks

This study was conducted to develop muscle and mental activities on repetitive precision tasks. A laboratory experiment was used to address the objectives. Surface electromyography was used to measure muscle activities from eight upper limb muscles, while electroencephalography recorded mental activities from six channels. Fourteen university students participated in the study. The results show that muscle and mental activities increase for all tasks, indicating the occurrence of muscle and mental fatigue. A linear relationship between muscle activity, mental activity and time was found while subjects were performing the task. Thus, models were developed using those variables. The models were found valid after validation using other students’ and workers’ data. Findings from this study can contribute as a reference for future studies investigating muscle and mental activity and can be applied in industry as guidelines to manage muscle and mental fatigue, especially to manage job schedules and rotation.     

植物-微生物修复石油烃污染土壤与根际微生态环境变化

石油烃作为一类持久性难降解有机污染物对土壤环境质量产生严重的危害。以天津大港油田原油污染土壤中筛选出的耐低温高效石油烃降解菌为靶细胞,以小麦、紫花苜蓿作为供试植物,利用盆栽试验,对植物-外源菌协同修复体系中的脱氢酶活性和土壤微生物多样性进行研究,分析其变化及其与石油烃降解率的关系。结果表明植物-微生物协同修复对石油烃具有较好的降解能力,其中小麦-固定化外源菌组具有最高的降解率,石油烃含量从最初的30 600 mg獉kg-1下降为24 300 mg獉kg-1,降解率为20.6%,并且其试验后期石油烃的降解率最大,远远高于其他时期,表现出良好的修复潜力。外源菌投加的初始阶段会迅速提高脱氢酶活性,然而这种影响随着降解时间延长而逐渐减弱。初期脱氢酶活性与总石油烃的降解存在较好的相关性,脱氢酶活性可以在一定程度上表征土壤石油烃的降解情况。微生物多样性与总石油烃降解也存在一定的相关性。