Variation in certain characters and properties of scotch pine needles in geographic cultures

Morphophysiological and anatomical characters of needles that are used for characterizing infraspecific taxa have been studied in Scotch pine geographic cultures established in the forest-steppe zone of Siberia. Variation in these characters has been revealed, which reflects the polymorphic structure of the species and the effect of natural selection on the composition of populations in new natural-cimatic conditions.     

丹江口水库水质要素变化特征及其相互关系

采用丹江口水库 1987～ 1996年间的水环境常规监测资料 ,应用因子分析方法探讨了丹江口水库不同区域水环境要素变化特征及其相互关系 ,分析表明 :丹江口水库目前水质良好 ,大多数情况下能满足地面水一类水质标准要求 :库区不同断面水体水质要素及污染因子间的相互关系可以用 6个主导因子表达。同一主导因子不同断面标识因子的差异反映了库区不同区域水质分布差异及产生这种差异的环境过程 ;影响库区水质的主要因素是上游随降水产生的面源污染、库周点源排放、水体自净以及气候因素 ,不同断面水质影响因素及其程度存在差异。     

Seasonal variations of Rn concentrations in the air of a tunnel located in Nagano city

The seasonal variation of 222Rn concentrations in the air of tunnels constructed during World War II at Nagano City has been investigated. The determination of 222Rn concentrations in tunnel air was performed using a solid-state nuclear track detector technique. The monthly radon concentrations changed smoothly, decreasing towards winter and increasing towards summer, and it was found that the concentrations strongly correlate with the temperature difference between the inside and the outside of the tunnel. In the innermost areas of the tunnel, the maximum concentration was observed in July, its value being about 6500 Bq m (-3). The concentrations of radon in the tunnel air decrease exponentially towards the openings of the tunnel, which indicates that the radon concentration in the tunnel is basically governed by diffusion and mixing of radon gas with air. These observations lead to the conclusion that the seasonal variation of the radon concentration in the tunnel air is mainly caused by a convection current due to a stack effect induced by the temperature difference between the tunnel air and the outside air.     

Contribution of anthropogenic pollutants to the increase of tropospheric ozone levels in the Oporto Metropolitan Area, Portugal since the 19th century

The main purpose of this study was to evaluate the contribution of anthropogenic pollutants to the increase of tropospheric ozone levels in the Oporto Metropolitan Area (Portugal) since the 19th century. The study was based on pre-industrial and recent data series, the results being analyzed according to the atmospheric chemistry. The treatment of ozone and meteorological data was performed by classical statistics and by time-series analysis. It was concluded that in the 19th century the ozone present in the troposphere was not of photochemical origin, being possible to consider the respective concentrations as reference values. For recent data a cycle of 8h for ozone concentrations could be related to traffic. Compared to the 19th century, the current concentrations were 147% higher (252% higher in May) due to the increased photochemical production associated with the increased anthropogenic emissions.     

爆炸波在饱和土介质中传播时压力变化规律的试验研究

介绍了在Φ900平面波加载器中进行的饱和土爆炸波传播试验,通过试验比较系统地研究了爆炸波在饱和土自由场中的传播规律及其在刚性边界上的反射问题。试验表明饱和土中的气体含量是控制波传播规律的主要因素,在深度方向上自由场应力峰值可能随深度增加,而在刚性边界上荷载反射系数可能>2。对饱和土与非饱和土中波传播规律的区别,在确定饱和土中结构的设计荷载时必须给予极大的关注。     

基于集对模型的地下工程塌方风险分析方法

为度量和监控地下工程塌方风险态势,提出一种基于集对模型的地下工程塌方风险分析方法。通过归纳地下工程塌方灾害因素,建立地下工程塌方风险的层次化结构,应用变异系数法确定风险指标的权重值;以集对分析(SPA)的同异反联系度和距离测度为基础,构建地下工程塌方风险态势监控机制及分析模型。给出地下工程塌方风险态势度量工作步骤,确定地下工程塌方灾害风险集对势、贴近度和次序关系。最后,通过对塌方风险分析样本的集对计算,为有效防范塌方灾害由潜伏性向灾变性转化提供防范重点。     

基于核密度估计的清代中国自然灾害时空分布特征

基于《清史·灾赈志》中的历史灾害信息,提取清代（1644-1911年）自然灾害共24 537县次,重建逐年灾害频次序列,以核密度估计法对5类主要灾害（水灾、旱灾、蝗灾、疫灾、冷害）的空间分布特征进行分析。结果表明:清代自然灾害频次序列没有明显的趋势性特征,而体现为阶段性波动,基于灾害频次30年滑动平均值可提取出4个峰值时段（1644-1673、1721-1750、1812-1841和1872-1901年）;相比于现代,清代灾害类型更加集中在农业灾害,最为多发的是水灾和旱灾,合计占总数的近80%,其次是蝗灾、疫灾和冷害;灾害最为多发的高风险区分布在黄淮海平原和长江三角洲,前者集中了水灾、旱灾、蝗灾的极端多发区,后者除了水旱多发,还是疫灾和冷害的极端多发区; 4个峰值时段的灾种类型组合和灾害多发区均有明显差异,时空变化受到致灾因子、暴露度和脆弱性因素的共同作用。上述工作有助于更好地认识历史灾害发生规律,对于当前及未来的防灾减灾工作具有重要参考价值。     

Incorporating putatively neutral and adaptive genomic data into marine conservation planning

The availability of genomic data for an increasing number of species makes it possible to incorporate evolutionary processes into conservation plans. Recent studies show how genetic data can inform spatial conservation prioritization (SCP), but they focus on metrics of diversity and distinctness derived primarily from neutral genetic data sets. Identifying adaptive genetic markers can provide important information regarding the capacity for populations to adapt to environmental change. Yet, the effect of including metrics based on adaptive genomic data into SCP in comparison to more widely used neutral genetic metrics has not been explored. We used existing genomic data on a commercially exploited species, the giant California sea cucumber (Parastichopus californicus), to perform SCP for the coastal region of British Columbia (BC), Canada. Using a RAD-seq data set for 717 P. californicus individuals across 24 sampling locations, we identified putatively adaptive (i.e., candidate) single nucleotide polymorphisms (SNPs) based on genotype–environment associations with seafloor temperature. We calculated various metrics for both neutral and candidate SNPs and compared SCP outcomes with independent metrics and combinations of metrics. Priority areas varied depending on whether neutral or candidate SNPs were used and on the specific metric used. For example, targeting sites with a high frequency of warm-temperature-associated alleles to support persistence under future warming prioritized areas in the southern coastal region. In contrast, targeting sites with high expected heterozygosity at candidate loci to support persistence under future environmental uncertainty prioritized areas in the north. When combining metrics, all scenarios generated intermediate solutions, protecting sites that span latitudinal and thermal gradients. Our results demonstrate that distinguishing between neutral and adaptive markers can affect conservation solutions and emphasize the importance of defining objectives when choosing among various genomic metrics for SCP.     

Assessing the components of adaptive capacity to improve conservation and management efforts under global change

Natural‐resource managers and other conservation practitioners are under unprecedented pressure to categorize and quantify the vulnerability of natural systems based on assessment of the exposure, sensitivity, and adaptive capacity of species to climate change. Despite the urgent need for these assessments, neither the theoretical basis of adaptive capacity nor the practical issues underlying its quantification has been articulated in a manner that is directly applicable to natural‐resource management. Both are critical for researchers, managers, and other conservation practitioners to develop reliable strategies for assessing adaptive capacity. Drawing from principles of classical and contemporary research and examples from terrestrial, marine, plant, and animal systems, we examined broadly the theory behind the concept of adaptive capacity. We then considered how interdisciplinary, trait‐ and triage‐based approaches encompassing the oft‐overlooked interactions among components of adaptive capacity can be used to identify species and populations likely to have higher (or lower) adaptive capacity. We identified the challenges and value of such endeavors and argue for a concerted interdisciplinary research approach that combines ecology, ecological genetics, and eco‐physiology to reflect the interacting components of adaptive capacity. We aimed to provide a basis for constructive discussion between natural‐resource managers and researchers, discussions urgently needed to identify research directions that will deliver answers to real‐world questions facing resource managers, other conservation practitioners, and policy makers. Directing research to both seek general patterns and identify ways to facilitate adaptive capacity of key species and populations within species, will enable conservation ecologists and resource managers to maximize returns on research and management investment and arrive at novel and dynamic management and policy decisions.     

非对称开采条件下工作面“多向应力”变化特征研究

在非对称开采条件下,工作面受上覆岩层自重应力、超前支承应力、采空区侧向支承应力和回风巷煤柱应力等“多向应力”叠加影响,使得工作面应力呈“非对称”性。为研究非对称开采条件下工作面“多向应力”变化特征,基于微震监测、应力在线监测和理论计算,对母杜柴登煤矿30202工作面回采过程中所形成的非对称开采条件下的应力变化进行分析;并基于工作面所受应力条件和围岩体结构条件,分析了“多向应力”叠加显现机理。结果表明:30202工作面回采期间,煤柱支承应力沿走向分为应力升高区、应力明显降低区、应力缓慢降低区和应力稳定区,其应力峰值主要集中在工作面前方40 m左右,应力集中系数平均为1.61;在非对称开采阶段,在走向方向工作面超前支承应力影响范围较回采初期增加了100 m左右;在不考虑垂直应力影响的情况下,相邻工作面采空区的侧向应力对30202工作面倾向方向的影响范围为44 m,应力最大值为56.1 MPa。在“多向应力”耦合作用下工作面在回采过程中产生能量集聚,并在采动扰动下发生能量释放,满足了大能量事件发生的基本应力条件;同时在扰动条件下采空区发生高位顶板错动,以及围岩支护薄弱为大能量事件的发生提供了围岩结构条件。研究结果可为工作面非对称开采条件下采场矿压显现规律研究、顶板控制和巷道支护设计提供指导。