2019年西安首场雾霾PM2.5关键特征的综合诊断

通过对WRF-Chem（Weather Research and Forecasting Model Coupled to Chemistry）环境模式模拟资料、HYSPLIT（HYbrid Single Particle Lagrangian Integrated Trajectory Model）前/后向气团轨迹资料、环境站监测资料，以及西安理工大学（Xi''an University of Technology，简称XUT）多波长激光雷达、米散射激光雷达、能见度仪、粒谱仪等观测资料的综合诊断，探讨了2019年1月初发生在西安的雾霾过程（记为首场雾霾）PM_2.5组分、分布及传输特征，旨在为雾霾气溶胶研究提供有益的个例积累.定性、定量双重检验表明，Chem模式较成功复制了此次雾霾气溶胶过程.利用这些可靠的模式数据分析表明，PM_2.5中碳气溶胶的主要组分为有机碳，约占85%，强盛期气溶胶各组分随高度增加均呈递减趋势，各组分近地面浓度最高.通过对两类不同方法获取的消光系数对比分析表明，相比于模式数据，激光雷达数据具有更高的垂直分辨率，因此，更善于描述消光廓线的细节特征.通过对多源资料的综合诊断最终揭示出，"北风涌"是雾霾消散的关键影响因子，沿铜川-西安-山阳一带存在着污染物传输的重要路径，雾霾由此体现出自北向南依次消散的特征.     

小边距冲孔模的凹模设计

在五金、家电、办公用品等行业中,常存在一些零件需要先弯曲成形,再进行冲孔。由于结构设计要求,有些孔到弯曲边的距离尺寸较小,尺寸精度要求较高,因此在这类模具设计中,凹模的强度问题较为突出。从结构设计和工艺设计两方面给出了设计这种模具的一些心得体会。     

色基生产废水的三级处理工艺试验

在染料中间体红色基Ｂ，紫酱色基ＧＰ的生产过程中，全产生降解处理的废水，采用中和隔油－生物接触氧化－电解脱色工艺处理可达标准排放。试验结果表明，硝化废酸液和水解母液的混合废水经过中和隔油处理后，ＣＯＤｃｒ的去除率可达到５６％以上，而ＢＯＤ５／ＣＤＯｃｒ的比值可在从０．２２提高到０．５以上；再经生物接触氧化处理后，ＣＯＤｃｒ的去除率在８８％以上，ＢＯＤ５的去除率在９２％以上；最后，电解处理能使ＣＯＤｃ     

不同品牌香烟烟雾中有机成分的分析

采用气－质联用技术（GC－MS）分析了我国市场上常见的近20种香烟烟雾中有机成分，为评价吸烟对人体健康的危害性提供资料，分析结果表明，这些香烟中，含有苯类衍生物，杂环类化合物及多环化合物等，从36种到131种不等，绝大多数有害人体健康。     

灵庄港河道底泥化学组成及其环境影响初探

本文研究灵庄港待疏浚的底泥的养分特征及重金属污染物的化学组分,探讨该底泥处置方式及其可能带来的环境影响。结果表明：灵庄港疏浚底泥的养分含量高于河道两岸耕地耕作层土壤,底泥中重金属元素符合农用底泥污染物控制标准,可以直接投放到附近的农田以增加经济效益,节约处置费用。     

抚顺市空气可吸入颗粒物特征的研究

于2002年1～7月份在抚顺市区四个点位采集了环境空气中的可吸入颗粒物样品，经分析后获得了可吸入颗粒物组分的时间分布和空间分布特征，即采暖期PM10样品中有机碳（OC）、元素碳（EC）的绝对含量和相对含量均高于非采暖期，工业区PM10样品中的Fe、Zn、Pb的绝对含量和相对含量均明显高于其它点位，反映了其工业区的特点。     

Applying metabolic fingerprinting to ecology: The use of Fourier-transform infrared spectroscopy for the rapid screening of plant responses to N deposition

The potential for metabolic fingerprinting via Fourier-transform infrared (FT-IR) spectroscopy to provide a novel approach for the detection of plant biochemical responses to N deposition is examined. An example of spectral analysis using shoot samples taken from an open top chamber (OTC) experiment simulating wet ammonium deposition is given. Sample preparation involved oven drying and homogenisation via mill grinding. Slurries of a consistent dilution were then prepared prior to FT-IR analysis. Spectra from control, 8 and 16 kg N ha^–1 yr^–1 treatments were then subjected to cross-validated discriminant function analysis. Ordination diagrams showed clear separation between the three N treatments examined. The potential for using Calluna vulgaris (L.) Hull as a bioindicator of N deposition is further evident from these results. The results also clearly demonstrate the power of FT-IR in discriminating between subtle phenotypic alterations in overall plant biochemistry as affected by ammonium pollution.     

Credibility and advocacy in conservation science

Conservation policy sits at the nexus of natural science and politics. On the one hand, conservation scientists strive to maintain scientific credibility by emphasizing that their research findings are the result of disinterested observations of reality. On the other hand, conservation scientists are committed to conservation even if they do not advocate a particular policy. The professional conservation literature offers guidance on negotiating the relationship between scientific objectivity and political advocacy without damaging conservation science's credibility. The value of this guidance, however, may be restricted by limited recognition of credibility's multidimensionality and emergent nature: it emerges through perceptions of expertise, goodwill, and trustworthiness. We used content analysis of the literature to determine how credibility is framed in conservation science as it relates to apparent contradictions between science and advocacy. Credibility typically was framed as a static entity lacking dimensionality. Authors identified expertise or trustworthiness as important, but rarely mentioned goodwill. They usually did not identify expertise, goodwill, or trustworthiness as dimensions of credibility or recognize interactions among these 3 dimensions of credibility. This oversimplification may limit the ability of conservation scientists to contribute to biodiversity conservation. Accounting for the emergent quality and multidimensionality of credibility should enable conservation scientists to advance biodiversity conservation more effectively.     

The Value of Using Feasibility Models in Systematic Conservation Planning to Predict Landholder Management Uptake

Understanding the social dimensions of conservation opportunity is crucial for conservation planning in multiple‐use landscapes. However, factors that influence the feasibility of implementing conservation actions, such as the history of landscape management, and landholders’ willingness to engage are often difficult or time consuming to quantify and rarely incorporated into planning. We examined how conservation agencies could reduce costs of acquiring such data by developing predictive models of management feasibility parameterized with social and biophysical factors likely to influence landholders’ decisions to engage in management. To test the utility of our best‐supported model, we developed 4 alternative investment scenarios based on different input data for conservation planning: social data only; biological data only; potential conservation opportunity derived from modeled feasibility that incurs no social data collection costs; and existing conservation opportunity derived from feasibility data that incurred collection costs. Using spatially explicit information on biodiversity values, feasibility, and management costs, we prioritized locations in southwest Australia to control an invasive predator that is detrimental to both agriculture and natural ecosystems: the red fox (Vulpes vulpes). When social data collection costs were moderate to high, the most cost‐effective investment scenario resulted from a predictive model of feasibility. Combining empirical feasibility data with biological data was more cost‐effective for prioritizing management when social data collection costs were low (<4% of the total budget). Calls for more data to inform conservation planning should take into account the costs and benefits of collecting and using social data to ensure that limited funding for conservation is spent in the most cost‐efficient and effective manner.