霍林河中游径流量序列的多时间尺度特征及其效应分析

霍林河是松嫩平原西部地区科尔沁、向海和查干湖湿地的重要补给水源。通过对其中游白云胡硕水文测站46a的年径流量序列的多时间尺度分析,探讨霍林河径流演变的近似周期性,识别霍林河径流变化对其下游洪泛湿地水源补给的规律,以及这种规律控制下的洪泛湿地环境演变。小波分析表明,霍林河白云胡硕水文站年径流序列主要存在3个尺度的周期变化,不同时间尺度下周期信号的强弱在时频域中的分布具有较强的局部特征,以大于30a尺度的年代际周期变化起主导作用,该尺度下,霍林河径流演变呈现出丰、枯、丰的交替振荡,下游洪泛湿地景观演变相应表现出阶段性特征,1990年代以前尤为突出。能量相对较弱的中、小时间尺度径流量周期性变化,与强烈的人类干扰活动相比,对下游洪泛湿地环境演变的作用效果不明显,突出表现在1990年代以后。     

4种重要因素对柴油机颗粒物排放因子的量化影响研究

在发动机台架测试基础上,按照发动机排放阶段、油品种类、后处理装置和运行工况4种因素的不同,进行了24组测试,研究了颗粒物排放因子.同时,应用单因素敏感性分析,探究了发动机排放阶段和油品种类对颗粒物排放因子的影响;并运用多元线性回归分析,探讨了4种因素对颗粒物排放因子的影响力大小排序.结果显示:24组柴油机测试的颗粒物排放因子均值为(21.9±24.5) mg·kWh~(-1);使用国Ⅴ排放标准柴油机的颗粒物排放因子((14.7±5.6) mg·kWh~(-1))比国Ⅳ排放标准柴油机((19.4±16.4) mg·kWh~(-1))有所下降;国Ⅳ柴油、国Ⅴ柴油和混合柴油的颗粒物排放因子平均值分别为120.0、(11.8±1.0)和(11.5±1.3) mg·kWh~(-1),混合柴油颗粒物排放因子与国Ⅴ柴油相近,两者相比国Ⅳ柴油有明显下降;油品种类是影响颗粒物排放因子的第一大因素,后处理是影响颗粒物排放因子的第二大因素.     

多承载索货运索道计算方法及张力不平衡效应分析

通过分析多承载索货运索道工作索的空间位置关系,在弹性悬链线计算方法的基础上,建立包括索道结构守恒方程和力平衡方程的非线性方程组,形成多承载索货运索道系统整体耦合计算方法。针对四承载索货运索道的典型设计工况,应用该方法完成承载索长度不一致情况下,货运索道的承载索张力变化分析。研究结果表明:多承载索货运索道承载索间的张力不平衡受索长偏差影响极大,而且不平衡效应与索长变化工况（索长偏差变化量、变化索的位置等）和载荷重量密切相关,多索索长不一致造成的张力不平衡使得承载索破断风险急剧增加。     

基于支持向量机的管制疲劳检测模型研究

管制疲劳是影响民航安全的重大隐患,准确检测疲劳状态是进行疲劳预警、降低疲劳风险的关键。提出应用支持向量机模型融合多生理参数和眼动指标进行管制疲劳检测,通过MP150多导生理记录仪与眼动仪,采集模拟管制试验中正常与剥夺睡眠状态下被试的试验数据,同时记录其Karolinska疲劳等级和操作绩效。结果表明,RR间期、LF/HF、快慢波比值、PERCLOS和扫视速度均与管制疲劳呈较强相关,利用支持向量机融合五项指标构建管制疲劳检测模型,对于五级疲劳度的识别准确率为78. 1%,判断正常组与剥夺睡眠组的准确率为94. 2%。     

Being trusted: How team generational age diversity promotes and undermines trust in cross‐boundary relationships

We examine how demographic context influences the trust that boundary spanners experience in their dyadic relationships with clients. Because of the salience of age as a demographic characteristic as well as the increasing prevalence of age diversity and intergenerational conflict in the workplace, we focus on team age diversity as a demographic social context that affects trust between boundary spanners and their clients. Using social categorization theory and theories of social capital, we develop and test our contextual argument that a boundary spanner's experience of being trusted is influenced by the social categorization processes that occur in dyadic interactions with a specific client and, simultaneously, by similar social categorization processes that influence the degree to which the client team as a whole serves as a cooperative resource for demographically similar versus dissimilar boundary spanner–client dyads. Using a sample of 168 senior boundary spanners from the consulting industry, we find that generational diversity among client team members from a client organization undermines the perception of being trusted within homogeneous boundary spanner–client dyads while it enhances the perception of being trusted within heterogeneous dyads. The perception of being trusted is an important aspect of cross‐boundary relationships because it influences coordination and the costs associated with coordination. © 2015 The Author Journal of Organizational Behavior Published by John Wiley & Sons Ltd     

Past and Present Effectiveness of Protected Areas for Conservation of Naturally and Anthropogenically Rare Plant Species

Abstract:  The Global Strategy of Plant Conservation states that at least 60% of threatened plant species should be within protected areas. This goal has been met in some regions with long traditions of plant protection. We used gap analysis to explore how particular groups of species of conservation interest, representing different types of natural or anthropogenic rarity, have been covered by protected areas on a national scale in Estonia during the last 100 years. Species-accumulation curves indicated that plant species that are naturally rare (restricted global or local distribution, always small populations, or very rare habitat requirements) needed almost twice as many protected areas to reach the 60% target as plant species that are rare owing to lack of suitable management (species depending on grassland management, moderate forest disturbances, extensive traditional agriculture, or species potentially threatened by collecting). Temporal analysis of the establishment of protected areas suggested that grouping plant species according to the predominant cause of rarity accurately reflected the history of conservation decision making. Species found in very rare habitats have previously received special conservation attention; species dependent on traditional extensive agriculture have been largely ignored until recently. Legislative initiative and new nature-protection schemes (e.g., Natura 2000, network of protected areas in the European Union) have had a positive influence on all species groups. Consequently, the species groups needing similar action for their conservation are sensitive indicators of the effectiveness of protected-area networks. Different species groups, however, may not be uniformly conserved within protected areas, and all species groups should fulfill the target of 60% coverage within protected areas.     

A Street Categorization Method to Study Urban Noise: The Valladolid (Spain) Study

Abstract We describe the application of a categorization method for road traffic noise (TN) evaluation. The method assumes that urban noise is stratified according to a five-category classification of streets based only on their use as communication routes. The method has previously been shown to be valid for towns under 220,000 inhabitants, and in the present case is applied to study the urban noise in Valladolid (Spain), a town with a population of nearly 320,000 inhabitants. Novel mathematical tools in this field are used to analyze the method. We demonstrate the existence of a stratification of the streets sound levels. Thus, the categories defined seem to be quite adequate for towns of this size range. Moreover, noise level predictive capacity of the method was also analyzed, and an overall value for the predictive capacity of 80% was obtained. Thus, our method can be a simple, low-cost strategy to make a statistical evaluation of the TN in a city.     

Predictors of specialist avifaunal decline in coastal marshes

Coastal marshes are one of the world's most productive ecosystems. Consequently, they have been heavily used by humans for centuries, resulting in ecosystem loss. Direct human modifications such as road crossings and ditches and climatic stressors such as sea‐level rise and extreme storm events have the potential to further degrade the quantity and quality of marsh along coastlines. We used an 18‐year marsh‐bird database to generate population trends for 5 avian species (Rallus crepitans, Tringa semipalmata semipalmata, Ammodramus nelsonii subvirgatus, Ammodramus caudacutus, and Ammodramus maritimus) that breed almost exclusively in tidal marshes, and are potentially vulnerable to marsh degradation and loss as a result of anthropogenic change. We generated community and species trends across 3 spatial scales and explored possible drivers of the changes we observed, including marsh ditching, tidal restriction through road crossings, local rates of sea‐level rise, and potential for extreme flooding events. The specialist community showed negative trends in tidally restricted marshes (?2.4% annually from 1998 to 2012) but was stable in unrestricted marshes across the same period. At the species level, we found negative population trends in 3 of the 5 specialist species, ranging from ?4.2% to 9.0% annually. We suggest that tidal restriction may accelerate degradation of tidal marsh resilience to sea‐level rise by limiting sediment supply necessary for marsh accretion, resulting in specialist habitat loss in tidally restricted marshes. Based on our findings, we predict a collapse of the global population of Saltmarsh Sparrows (A. caudacutus) within the next 50 years and suggest that immediate conservation action is needed to prevent extinction of this species. We also suggest mitigation actions to restore sediment supply to coastal marshes to help sustain this ecosystem into the future.     

Vulnerability and adaptation to heat in cities: perspectives and perceptions of local adaptation decision-makers in Sweden

Climate change vulnerability is disproportionately distributed between different population segments in society. This study qualitatively explores how key stakeholders in municipalities (i.e. planning and operational staff in municipalities and the vulnerable themselves) construct social vulnerability in relation to climate change with a specific focus on thermal stress (i.e. heat waves) and which adaptive responses they identify at different levels. The empirical material consists of five focus groups with actors in a large Swedish municipality where the “Vulnerability Factor Card Game” was used as stimulus material to create 10 fictional individuals. The results show that there is a substantial amount of local knowledge about vulnerability drivers and inter-relations between social factors and vulnerability. Local decision-makers also defined a wide range of possible adaptation measures at different municipal levels. Our study clearly indicates that contextualised knowledge, which could complement the quantitative approaches in research, is abundant among municipal planners, staff employed at municipal operations such as health care, and among the vulnerable themselves. This knowledge remains untapped by research to a great extent and only seems to have an insignificant influence on policy-making. In particular, how impacts vary between different social and demographic groups and how adaptation strategies that target the most vulnerable could be defined are of great interest. The present study clearly indicates that social hierarchy may produce increased inequality in the specific context of climate change, vulnerability and adaptive responses at different levels.     

海河流域社会经济发展对河流水质的影响

海河流域社会经济快速发展,主要河流水质恶化.本文基于海河流域人口规模、经济产值和土地利用变化过程,结合河流社会经济发展指标和水质变化统计分析,从流域废污水排放和水资源利用等角度分析社会经济对水环境影响机制.研究表明,流域人口规模大幅增长、工业生产强度大幅提高,工业聚集区由北京-天津地区扩展到北京-天津-唐山、石家庄、聊城-德州等地区,导致海河流域工业废水和生活污水排放规模迅速上升,成为河流水质恶化直接驱动力.城市扩张是流域土地利用变化最显著特征,近30年来城市用地面积增加85%,北京-天津-唐山城市群规模扩大,造成流域水资源开发利强度加剧,降低河流自净缓冲能力.因子分析表明,流域影响河流水质因素分解为农村、城市和自然等3个方面,其中城市化过程和农村社会经济发展对河流水体污染物浓度水平影响非常显著.