垂直流人工湿地LDHs覆膜改性沸石基质强化除磷效果及其机制

采用碱性水热-共沉淀法,将6种金属化合物(CaCl2、ZnCl2、MgCl2、FeCl3、AlCl3、CoCl3)两两组合生成9种不同类型的层状双金属氢氧化物并覆膜于常用垂直流人工湿地沸石基质表面;利用分别填充原始沸石及9种LDHs覆膜改性沸石基质的模拟垂直流人工湿地小试系统进行除磷净化实验,并结合10种沸石基质的等温吸附实验结果,对LDHs覆膜改性沸石基质的强化除磷机制进行研究.结果表明,相对于原始沸石基质,9种不同组合方式生成的LDHs覆膜改性沸石基质除磷效果均有不同程度的提高;Zn2+参与合成的改性基质除磷效果优良,其中ZnFe-LDHs改性沸石基质对总磷、溶解性总磷及磷酸盐的平均去除率超过90%,其最大理论吸附量达到了原始沸石基质的3倍;LDHs覆膜改性沸石基质通过增加化学吸附容量、提高物理吸附能力达到强化除磷效果的目的.     

碳源变化对降解2,4-D的好氧颗粒污泥性能及形态的影响

在长期运行的序批式生物反应器(SBR)中,考察了以葡萄糖和2,4-二氯苯氧乙酸(2,4-D)为混合碳源培养的好氧颗粒污泥在转换为2,4-D唯一碳源废水后,其形态、结构及对目标污染物去除功能的变化.结果表明,基质转换为2,4-D单一碳源后,好氧颗粒污泥仍保持了对目标污染物高效的去除能力.当进水2,4-D浓度为361～564mg/L,其去除率为99.2%～100%,COD平均去除率达到85.6%.混合碳源向2,4-D单一碳源转换对原好氧颗粒结构产生一定破坏作用,使其发生部分解体,粒径由513μm下降到302μm.但好氧颗粒污泥良好的耐负荷冲击使其保持了颗粒主体,通过一段时间适应调整后能够重新聚集生长,最终获得能够利用2,4-D为唯一碳源生长并具有良好沉降性(SVI20～40mL/g)的好氧颗粒污泥,粒径为489μm.扫描电子显微镜(SEM)观察结果表明,混合碳源转向单一碳源使好氧颗粒生物相丰富度降低.     

1株异养硝化-好氧反硝化细菌DK1的分离鉴定及其脱氮特性

从某反应器活性污泥中分离筛选出1株假单胞菌属(Pseudomonas sp.)细菌,命名为DK1,并对该菌进行脱氮特性研究.在以葡萄糖为碳源,C/N量比为5时,分别以NaNO_3和NaNO_2为氮源,二者的好氧反硝化速率为4.09 mg·(L·h)-1和4.43mg·(L·h)~(-1).以二者同时为氮源脱氮率为100%;此外,菌株DK1具有异养硝化性能,NH_4~+-N平均去除速率为2.32mg·(L·h)-1.缺氧时以NO_2~--N为氮源菌株DK1可将一系列梯度浓度NO_2~--N(约100~300 mg·L-1)在36 h内降为0.当NO_3~--N和NO_2~--N同时存在时,菌株DK1会优先利用NO_3~--N进行反硝化.同时该菌株还具有同步硝化反硝化(SND)性能,可同时去除NH_4~+-N、NO_2~--N或NH_4~+-N、NO_3~--N,30 h内脱氮率分别达95.06%和94.69%.相同时间内在NH_4~+-N、NO_2~--N和NO_3~--N三者均存在时,脱氮效果最佳,达100%.菌株DK1的高效SND及反硝化性能表明其在处理含氮废水方面有一定的潜力和应用价值.     

中国出口家电反向物流网络及其优化研究

文章分析了反向物流网络的特征、分类以及影响废旧家电回收反向物流构建的因素及构建原则;运用博弈论知识论证了进行废旧家电反向物流的必然性,在此基础上构建了废旧家电反向物流网络,运用混合整数线性规划模型对其进行优化.最后,本文运用例子证明了混合整数线性规划及其算法-分枝定界法的实用性和有效性.     

Evaluating and expanding the European Union's protected-area network toward potential post-2020 coverage targets

The Convention on Biological Diversity's (CBD) strategic plan will expire in 2020, but biodiversity loss is ongoing. Scientists call for more ambitious targets in the next agreement. The nature-needs-half movement, for example, has advocated conserving half of Earth to solve the biodiversity crisis, which has been translated to protecting 50% of each ecoregion. We evaluated current protection levels of ecoregions in the territory of one of the CBD's signatories, the European Union (EU). We also explored the possible enlargement of the Natura 2000 network to implement 30% or 50% ecoregion coverage in the EU member states’ protected area (PA) network. Based on the most recent land-use data, we examined whether ecoregions have enough natural area left to reach such high coverage targets. We used a spatially explicit mixed integer programing model to estimate the least-cost expansion of the PA network based on 3 scenarios that put different emphasis on total conservation cost, ecological representation of ecosystems, or emphasize an equal share of the burden among member states. To realize 30% and 50% ecoregion coverage, the EU would need to add 6.6% and 24.2%, respectively, of its terrestrial area to its PA network. For all 3 scenarios, the EU would need to designate most recommended new PAs in seminatural forests and other semi- or natural ecosystems. Because 15 ecoregions did not have enough natural area left to implement the ecoregion-coverage targets, some member states would also need to establish new PAs on productive land, allocating the largest share to arable land. Thirty percent ecoregion coverage was met by protecting remaining natural areas in all ecoregions except 3, where productive land would also need to be included. Our results support discussions of higher ecoregions protection targets for post-2020 biodiversity frameworks.     

Effects of spatial autocorrelation and sampling design on estimates of protected area effectiveness

Estimating the effectiveness of protected areas (PAs) in reducing deforestation is useful to support decisions on whether to invest in better management of areas already protected or to create new ones. Statistical matching is commonly used to assess this effectiveness, but spatial autocorrelation and regional differences in protection effectiveness are frequently overlooked. Using Colombia as a case study, we employed statistical matching to account for confounding factors in park location and accounted for for spatial autocorrelation to determine statistical significance. We compared the performance of different matching procedures—ways of generating matching pairs at different scales—in estimating PA effectiveness. Differences in matching procedures affected covariate similarity between matched pairs (balance) and estimates of PA effectiveness in reducing deforestation. Independent matching yielded the greatest balance. On average 95% of variables in each region were balanced with independent matching, whereas 33% of variables were balanced when using the method that performed worst. The best estimates suggested that average deforestation inside protected areas in Colombia was 40% lower than in matched sites. Protection significantly reduced deforestation, but PA effectiveness differed among regions. Protected areas in Caribe were the most effective, whereas those in Orinoco and Pacific were least effective. Our results demonstrate that accounting for spatial autocorrelation and using independent matching for each subset of data is needed to infer the effectiveness of protection in reducing deforestation. Not accounting for spatial autocorrelation can distort the assessment of protection effectiveness, increasing type I and II errors and inflating effect size. Our method allowed improved estimates of protection effectiveness across scales and under different conditions and can be applied to other regions to effectively assess PA performance.     

带混合时间窗的多目标危险化学品运输路径优化

为降低危险化学品运输风险,使路径选择更加科学、切合实际,从责任主体、社会影响等方面综合考虑危险化学品运输相关主体,根据各主体目标对影响运输路径选择的指标进行重新识别和细分,提出5大指标体系。应用熵权法计算出各指标权重,建立混合时间窗条件下的多目标危化品运输路径优化模型,通过改进的多目标遗传算法求出Pareto最优解。结果表明,不同时间点出发会产生不同的Pareto最优解,并且可得到每条最优路径的出发时间窗,每个最优解代表了某项指标达到相对最优时的路径。混合时间窗较符合实际情况,基于出发时间窗及生成的多条最优路径,决策者可根据决策偏好及关注重点以较高效率选出最合适的路径。     

Community sustainability: a holistic approach to measuring the sustainability of rural communities in Scotland

ABSTRACT

Although sustainable development was defined in the Brundtland Report almost 30 years ago, the current usage of the concepts of sustainability and sustainable development remain highly equivocal. In the context of rural communities, multiple interpretations and weak definitions lead to confusion in understanding what comprises a sustainable rural community. Building on existing definitions (e.g. Baker’s, 2006, ‘Ladder of Sustainable Development’), models (principally, The Egan Review’s, 2004, ‘Components of Sustainable Communities’) and findings of this study, a sustainable community is defined and a holistic model of a sustainable place-based rural community is presented. This model, the sustainable community design (SCD) is used as the basis for analysing community sustainability, which is measured using mixed methods and scorecard assessment. Sensitivity of the method is demonstrated with inter- and intra-community variations in sustainability across three diverse Scottish rural communities. Intra-community variations illustrate heterogeneity in community sustainability, explain ambiguity in characterisations of an individual community’s sustainability, and highlight the importance of an interdisciplinary and holistic approach to community development. The SCD framework is presented as a useful tool for meso-level sustainability assessment and to facilitate the sustainable development of rural communities.     

Prospective spatial prediction of infectious disease: experience of New York State (USA) with West Nile Virus and proposed directions for improved surveillance

Infectious disease surveillance has become an international top priority due to the perceived risk of bioterrorism. This is driving the improvement of real-time geo-spatial surveillance systems for monitoring disease indicators, which is expected to have many benefits beyond detecting a bioterror event. West Nile Virus surveillance in New York State (USA) is highlighted as a working system that uses dead American Crows (Corvus brachyrhynchos) to prospectively indicate viral activity prior to human onset. A cross-disciplinary review is then presented to argue that this system, and infectious disease surveillance in general, can be improved by complementing spatial cluster detection of an outcome variable with predictive “risk mapping” that incorporates spatiotemporal data on the environment, climate and human population through the flexible class of generalized linear mixed models.

职业危害因素混合接触综合评价方法概述

作业场所同时接触多种职业危害因素的综合危害性日益引起广泛关注,如何对其进行科学的评价成为职业危害研究者面临的重要课题。本文对不同危害因素的混合危害作用的评价方法进行了系统的总结与归纳,探讨了混合作用的描述方法,分析了毒理学、流行病学、风险评价三大类方法应用于混合危害作用评价时的基本原理、核心思路和实施流程,此外对三种方法的特点进行了对比分析。