宜兴市莲花荡水系整治工程前后生态健康评价

以入太湖莲花荡水系为研究对象,结合2015年4个季度9个采样点的水质学、生物学共7个指标生态调查数据,采用多指标综合评价法,从生物完整性、化学完整性2个方面评价了莲花荡水系整治工程前后的生态健康状况。结果表明,2015年第1、2季度健康状况较差,健康的样点个数分别为3和1,在2015年6月开展清淤工程及集约化畜禽产业整改后,3、4季度健康状况明显改善,健康样点个数分别达到9和7。影响莲花荡水系化学完整性的主要水质指标是TN、TP,3、4季度TN仍超出地表水Ⅴ类标准,处于严重病态,TP为地表IV类标准,处于病态。影响莲花荡水系生物完整性的主要因子是底栖动物,仅监测到20种耐污能力较高的底栖动物物种,而未发现清洁物种。为了进一步改善莲花荡水系生态健康状况,建议开展沿岸农村生活污水的截污治理、农业面源的生态拦阻等污染源控工程,辅以生态岸带建设及湖滨带生态修复等工程。     

Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

• UV-vis absorption analyzer was applied in drainage type online recognition. • The UV-vis spectrum of four drainage types were collected and evaluated. • A convolutional neural network with multiple derivative inputs was established. • Effects of different network structures and input contents were compared. Optimizing sewage collection is important for water pollution control and wastewater treatment plants quality and efficiency improvement. Currently, the urban drainage pipeline network is upgrading to improve its classification and collection ability. However, there is a lack of efficient online monitoring and identification technology. UV-visible absorption spectrum probe is considered as a potential monitoring method due to its small size, reagent-free and fast detection. Because the performance parameters of probe like optic resolution, dynamic interval and signal-to-noise ratio are weak and high turbidity of sewage raises the noise level, it is necessary to extract shape features from the turbidity disturbed drainage spectrum for classification purposes. In this study, drainage network samples were online collected and tested, and four types were labeled according to sample sites and environment situation. Derivative spectrum were adopted to amplify the shape features, while convolutional neural network algorithm was established to conduct nonlinear spectrum classification. Influence of input and network structure on classification accuracy was compared. Original spectrum, first-order derivative spectrum and a combination of both were set to be three different inputs. Artificial neural network with or without convolutional layer were set be two different network structures. The results revealed a convolutional neural network combined with inputs of first and zero-order derivatives was proposed to have the best classification effect on domestic sewage, mixed rainwater, rainwater and industrial sewage. The recognition rate of industrial wastewater was 100%, and the recognition rate of domestic sewage and rainwater mixing system were over 90%.     

城市森林大气PM2.5中水溶性无机离子沉降特征

森林被誉为"地球之肺",在防霾治污方面有其独特不可替代的作用,不同树种沉降PM_2.5的功能有很大差别.本文选取代表性城市森林——奥林匹克森林公园为研究对象,设置垂直监测塔观测大气PM_2.5的浓度垂直分布,以考察不同季节城市森林对PM_2.5中各组分的影响.在冬季、春季和夏季各采集PM_2.5样品,分析并计算PM_2.5中Na⁺、NH₄⁺、K⁺、Mg2⁺、Ca2⁺、Cl^-、NO₃^-和SO₄^2-等典型水溶性无机离子的浓度.结果表明,PM_2.5中水溶性无机离子总浓度呈规律性变化特征:冬季((56.90±27.38)μg·m-3)>春季((46.69±12.24)μg·m^-3)>夏季((23.16±8.75)μg·m^-3).其中SO₄^2-和NO₃^-浓度和占PM_2.5主要水溶性无机离子总浓度的50%以上.3个季节中,除冬季外,在春季和夏季,8种离子有明显的垂直方向上的沉降,夏季的沉降速率高于春季,但是春季由于大气颗粒物浓度高,沉降通量高于夏季.NO₃^-和SO₄^2-垂直方向的沉降量在所有可溶性无机离子中最高.植被密度、叶面积指数、气象条件等因素对于PM_2.5的沉降特征有明显影响.     

中国绿色服务政策演进、协同及文本内容分析

绿色服务作为促进绿色产业专业化、高端化、规范化发展的综合性服务业,是保障绿色产业持续健康发展的重要支撑。本文以《绿色产业指导目录》为依据,全面梳理1986年以来我国中央政府颁布的各类绿色服务政策,从政策演进、政策主体关系、文本类型、政策工具结构等方面对我国绿色服务政策进行量化分析。研究发现:(1)我国中央政府颁布的绿色服务政策数量及总力度都越来越大,绿色服务政策的制定已经渡过探索期,进入高质量发展的政策体系全面形成阶段;(2)政策主体牵涉广泛,部际合作现象明显且合作模式较为固定,整体上部际合作增强但又呈现出阶段性的发展特征;(3)政策类型多种多样,但不同形式的政策文件分布不均,多通知、公告类低效力文件,缺乏高效力文件;(4)政策客体结构较为完整,但行业分布不平衡;(5)总体上政策工具类型逐渐多样化,但过度重视管理,供给型、环境型、需求型三大政策工具间存在一定程度的失衡,具体表现为重环境,轻供给和需求。本文建议,应进一步加强部际协调和有效合作,平衡政策工具结构和政策的行业分布,完成绿色服务政策由量到质的升级发展。     

基于仿生学的建筑物智能结构系统初探

讨论了赋予建筑物以智能结构系统的必然性与可行性,并结合仿生学的研究,探讨了建筑物智能结构系统的结构组成。通过介绍一些技术上相对比较成熟的智能材料,诸如光导纤维、碳纤维混凝土等传感和驱动材料,为建筑物智能结构系统的建立,提供了物质材料上的支持。通过对生命现象的模仿,本文将建筑物智能结构系统细分为以下几个部分:神经系统式的传感、神经网络式的分析思维、肌肉组织式的驱动、自愈合、有机材料以及多种智能材料的集成。此外,本文还指出,将仿生学同建筑材料与结构的发展相结合,建立建筑物智能结构系统,不仅为建筑物提供更加有效的安全保障,还为人类与自然和谐共处提供了一个发展方向。     

空气负离子与城市环境

综述了空气负离子的研究历史、产生过程以及增加空气负离子改善城市环境的措施。在相关文献的基础上,由室内、室外二方面进一步探讨了空气负离子与城市环境的关系。     

不同埋管形式的预制能量管桩热响应试验研究

能量桩是通过在传统桩基础内安装换热管的新型节能减排技术。通过在PHC桩芯内埋设换热管形成预制能量管桩。现场采用单U和双U热响应试验,利用分布式光纤传感技术,对桩身的温度和应变分布进行了监测,得到了试验过程中能量桩的温度和应变变化规律;发现换热初期热量会堆积在能量桩内无法快速传递到桩外,整个过程桩体升温幅度不大,热量传递效率较低;揭示了预制能量管桩的热、力学变化特征,为预制能量管桩的优化设计和换热能力的评价提供了依据。     

Biology and mating behavior of Xylocopa virginica L. (Hymenoptera,Anthophoridae)

Summary The biology and behavior of Xylocopa virginica L. were followed in the area of Athens, Georgia (USA) from August 1973 until September 1974. Several nests were X-rayed regularly during the developmental period of the bees, and information about the life cycle and development was obtained. The bees emerge in June and stay in their nests with their sibs throughout the summer, fall, and winter, leaving only occasionally on warm days to search for nectar as food. In March and April males defend nest-side territories and mate with most females. The males die in the late spring and the females dig nests, provision them, and rear up to 8 or 9 bees in each nest. Many females live 2 years, and often 2 to 3 females are present in each nest, but only 1 works and lays eggs. Emergence of adults from pupae is nearly synchronized, irrespective of age.     

重庆市可持续发展状况分析

构建重庆市可持续发展指标体系,运用层次分析法对重庆市的可持续发展状况进行了评价.通过评价结果分析发现,重庆市在2001年前可持续发展保持较好,而2001年以后经济虽然发展较快,但环境和资源的承载能力下降,可持续发展表现出不和谐.最后就重庆市的可持续发展提出了建议和措施.     

Transformational leadership and emotional intelligence: a potential pathway for an increased understanding of interpersonal influence

Non‐cognitive emotional intelligence could potentially contribute to a more holistic understanding of interpersonal influence and leadership; however, significant issues of definition, psychometric independence, and measurement must be conclusively resolved. Possible relationships between emotional intelligence, transformational leadership, and individual/organizational outcomes are described and further investigation is encouraged. Copyright © 2005 John Wiley & Sons, Ltd.