四川乡村点新粒子生成特征及其对云凝结核数浓度的贡献

为揭示成渝地区大气复合污染成因,选择乡村点资阳站的冬季,实测了颗粒物数浓度及其粒径谱分布、云凝结核(CCN),在二氧化硫、光解速率(JO1D)实测值基础上估算了新粒子生成的重要前体物气态硫酸的浓度.2012年12月5日到2013年1月5日观测期间,3~582nm颗粒物数浓度水平较高,平均值为(16072±9713)cm-3.颗粒物数谱分布呈现以积聚模态为主体的特征,占总颗粒物数浓度的46%,此比值高于我国北京、上海、广州等城市和珠江三角洲及长江三角洲的乡村点和背景点.在较高颗粒物凝结汇(CS)水平下[(4.3±3.6)×10-2s-1],甄别出7次新粒子生成(NPF)事件,占观测天数的23%.NPF事件发生时,颗粒物生成速率与增长速率分别为(5.2±1.4)cm-3s-1,(3.6±2.5)nm/h. NPF事件对CCN数浓度有明显贡献,NPF发生后CCN数浓度平均增长19%.     

内蒙古锡林郭勒盟景观尺度土壤保持功能的空间分布

景观作为理解和塑造人类社会与环境最具操作性的尺度,其土壤保持功能是实现景观可持续性的重要条件。在遥感和GIS技术的支持下,采用改进的通用土壤流失方程(RUSLE)对内蒙古锡林郭勒盟景观土壤保持功能的空间分布进行研究。研究表明,研究区土壤保持总量为1.699×10~9 t?a~(-1),单位面积土壤保持量为85.39 t?hm~(-2)?a~(-1);土壤中N、P、K元素保持量分别为9.25×10~6 t?a~(-1)、6.14×10~6 t?a~(-1)、3.41×10~7 t?a~(-1)。按一级景观估算,土壤保持能力从强到弱依次为林地耕地草地住宅用地未利用地水域;按二级景观估算,土壤保持能力以灌木林地为最高,其次分别为有林地、疏林地、丘陵旱地、平原旱地、高盖度草原、山地旱地、中盖度草原,最差的是盐碱地和裸岩石质地。不同景观的土壤保持功能随植被覆盖度的增加呈非线性增长趋势,当植被覆盖度小于50%时,单位面积土壤保持量随植被覆盖度增大而缓慢增加;当植被覆盖度大于50%时,土壤保持功能随植被覆盖度增大而显著增加。因地制宜地提高研究区的植被覆盖度,合理配置景观空间分布格局,有助于景观服务功能的发展,从而对区域生态安全和人类福祉做出更大贡献。     

广州雾霾期间气溶胶水溶性离子的日变化特征及形成机制

为研究雾霾天气下SO42-、NO3-和NH4+的形成机制,2013年4月18~23日,使用6级Anderson大流量采样器采集了不同粒径段的气溶胶样品,并利用离子色谱对其中的水溶性无机离子进行了分析.结果表明,广州雾霾期间PM3和PM10中总水溶性无机离子平均浓度分别为(32.7±13.3)μg/m3和(39.4±15.7)μg/m3.SO42-、NO3-和NH4+是最主要的水溶性离子,它们在PM3和PM10中占总离子质量分数分别为76%和71%.3种离子主要集中在0.49~1.5μm的液滴模态,该模态中NH4+主要以(NH4)2SO4和NH4NO3的形式存在,而凝聚模态的NH4+则主要以(NH4)2SO4和NH4HSO4的形式存在.液滴模态的SO42-主要来自雾内或颗粒表面的液相氧化反应,NO3-主要来自夜间N2O5在颗粒表面的水解反应,NH4+主要来自NH3在颗粒上进行的非均相中和反应,而这3种离子在该模态的日变化特征则很好的反映了以上的形成机制.受太阳辐射的影响,3种离子的浓度在凝聚模态均表现为白天高于夜晚.     

Spatial Patterns of Breeding Success of Grizzly Bears Derived from Hierarchical Multistate Models

Conservation programs often manage populations indirectly through the landscapes in which they live. Empirically, linking reproductive success with landscape structure and anthropogenic change is a first step in understanding and managing the spatial mechanisms that affect reproduction, but this link is not sufficiently informed by data. Hierarchical multistate occupancy models can forge these links by estimating spatial patterns of reproductive success across landscapes. To illustrate, we surveyed the occurrence of grizzly bears (Ursus arctos) in the Canadian Rocky Mountains Alberta, Canada. We deployed camera traps for 6 weeks at 54 surveys sites in different types of land cover. We used hierarchical multistate occupancy models to estimate probability of detection, grizzly bear occupancy, and probability of reproductive success at each site. Grizzly bear occupancy varied among cover types and was greater in herbaceous alpine ecotones than in low‐elevation wetlands or mid‐elevation conifer forests. The conditional probability of reproductive success given grizzly bear occupancy was 30% (SE = 0.14). Grizzly bears with cubs had a higher probability of detection than grizzly bears without cubs, but sites were correctly classified as being occupied by breeding females 49% of the time based on raw data and thus would have been underestimated by half. Repeated surveys and multistate modeling reduced the probability of misclassifying sites occupied by breeders as unoccupied to <2%. The probability of breeding grizzly bear occupancy varied across the landscape. Those patches with highest probabilities of breeding occupancy—herbaceous alpine ecotones—were small and highly dispersed and are projected to shrink as treelines advance due to climate warming. Understanding spatial correlates in breeding distribution is a key requirement for species conservation in the face of climate change and can help identify priorities for landscape management and protection. Patrones Espaciales del Éxito Reproductivo de Osos Pardos, Derivados de Modelos Jerárquicos Multi‐Estado     

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.     

全工班呼吸性粉尘测定及防尘措施研究

针对呼吸性粉尘对矿井工人身体健康的危害,对煤矿综采工作面、综掘工作面、炮掘工作面等进行分工种个体性的全尘和呼尘监测,测定了各工作面粉尘(全尘和呼尘)的浓度、粉尘分散度和SiO2浓度。其结果表明:全工班呼吸性粉尘测定的方法更加真实可靠,更真实地反映了呼吸性粉尘对井下各操作工种的致病危害,测得的各工作面各工种的呼尘浓度均高于国家标准。通过数据的分析以及工人的建议,提出了一些新式的、有效的防尘措施来降低呼吸性粉尘对人体健康的危害。     

围垦后南汇东滩海三棱藨草的空间分布及其影响因子研究

2015年9月~10月期间对2012年底围垦后南汇嘴区域的海三棱藨草(Scirpus mariqueter)湿地系统进行了调研,运用主成分分析、典范对应分析(canonical correspondence analysis,CCA)方法,基于101个样地土壤的有机碳、总磷、总氮、硝酸盐氮、亚硝酸盐氮、氨氮、正磷酸盐、pH、含水率、粒径、盐度、滩涂高程等12个环境因子数据,探讨了围垦后海三棱藨草空间分布的关键影响因子。结果表明:海三棱藨草的分布与滩涂高程具有显著正相关(P0.05),海三棱藨草群落主要分布在南汇滩涂2.5~3.4 m高程范围内;海三棱藨草的密度、盖度与盐度呈显著正相关(P0.05)。结论认为滩涂高程和土壤盐度是影响海三棱藨草分布的主要环境因子。未来需要结合围垦后的水动力变化过程数值模拟,对海三棱藨草生态系统高时空分辨率的响应过程及机制进行研究,以进一步确立海三棱藨草对围垦工程响应的关键阈值。研究对围垦工程后的滨海湿地植被恢复及滩涂生态修复具有参考意义。     

制药废水有机污染物特性分析与处理

分析了某制药企业废水生物处理站进出水中有机污染物的相对分子质量分布和气相色谱—质谱图谱,提出了根据废水水质特性有针对性地确定制药废水处理工艺的新思路.实验结果表明:进出水中的有机污染物主要是相对分子质量小于1 000的物质,且主要来源于车间5排放的COD比重大、水量小的工段废水;采用旋转蒸馏预处理法处理车间5废水,可使...     

不同粒度飞灰中16种微量元素的含量分布

研究了不同粒级的燃煤飞灰中的Ｂａ、Ｂｅ、Ｃｄ、Ｃｒ、Ｃｕ、Ｈｇ、Ｌｉ、Ｍｎ、Ｎｉ、Ｐｂ、Ｓｒ、Ｔｉ、Ｖ、Ｚｎ、Ｚｒ元素的含量分布,煤中元素的含量比及富集因子。     

Can aquatic distribution of human pharmaceuticals be related to pharmacological data?

The recognition of pharmaceuticals as significant environmental contaminants has only been a recent phenomenon. Therefore there is a paucity of data relating to the fate and effects of pharmaceuticals once they enter an aquatic receiving system. The amount of work that needs to be done in terms of risk assessment for pharmaceuticals required by regulatory agencies is substantial. This paper has determined the environmental partitioning coefficient (K_d) of 13 diverse human pharmaceuticals in three model systems of differing combinations of solid phases and solutions. The K_d values were then compared with distribution values of the pharmaceuticals in the human body determined from pharmacological studies. This was done to assess the functional relationship between K_d and distribution values in the human body (V_D). K_d values ranged from 3 to 2450 L kg⁻¹. Regression coefficients ranged from r² = 0.62–0.72, indicating that V_D values are a useful indicator for the K_d values of the tested pharmaceuticals within the batch sorption systems. The relationship between K_d and V_D should therefore be further explored to determine whether this relationship can be applied to a broader range of pharmaceuticals in more diverse environmental systems. Exploiting available human pharmacological data in such a way would be of great benefit in prioritising human pharmaceuticals as environmental contaminants in the risk assessment process.