聚四氟乙烯高压密封罐消解样品测定五氧化二钒

利用聚四氟乙烯高压密封罐消解矿石样品测定五氧化二钒,具有操作手续相对简便、轻松、快捷等优点,与传统的硫酸－磷酸混合酸消解或采用碱熔融前处理法比较,相对误差小于１．６％,样品的添加标准回收率为９２．９％～１０３．５％。     

室外空气污染对成人呼吸系统健康影响的分析

报告在广州、武汉、兰州、重庆市 8所小学共 80 0 0余名学生父母患呼吸系统疾病的病症率受空气污染影响的分析结果。每个城市城区污染点的成人感冒咳嗽和咳痰、未感冒咳嗽和咳痰、支气管炎等病症的发生率均高于相应城市的郊区对照点 ,且男性比女性更高。呼吸系统的病症率与空气 PM1 0 、PM2 .5 污染呈正相关。调整了混杂因子的影响后 ,这种相关关系仍保持不变。结论是 :空气中 PM1 0 的污染与成人 (男女 )的感冒或未感冒时咳嗽、男性未感冒时咳痰、哮喘、支气管炎有明显正相关关系 ;空气 SO2 污染与成人 (男女 )感冒时咳嗽、咳痰呈显著正相关 ;空气中 NOx 污染对成人呼吸系统病症率的影响相对较弱     

TSP-PM10-PM2.5-2型中流量大气颗粒物采集系统的开发和应用

自行开发并研制了TSP-PM10-PM2.5-2型中流量TSP、PM10、PM2.5大气颗粒物采集系统,是目前中国唯一可以采集TSP、PM10、PM2.5样品并提供足够的样品量进行大气颗粒物化学成分分析的中流量大气颗粒物采集器.该系统精心设计和加工的限流孔可以保持完全固定的流量,保证切割粒径的稳定,减小采样的误差并方便操作.该系统已经成功地应用于20多个城市和地区大气颗粒物的监测和研究中,为研究大气颗粒物的污染状况和来源提供了有效的技术手段和支持.     

CaH_2对Cu-Ce-La-ZSM-5催化分解NO性能的影响

实验采用一步离子交换法制备Cu-Ce-La-ZSM-5催化剂,然后采用共混法制得Cu-Ce-La-ZSM-5/CaH2催化剂。采用扫描电镜(SEM),电感耦合等离子体发射光谱(ICP-AES),X射线衍射(XRD),红外(FTIR)以及NO吸脱附(NO-TPD)对催化剂进行表征。结果显示CaH2的加入使得催化剂中铜离子存在形式发生变化,催化剂表面变光滑洁净,并且吸附NO能力增强。NO催化分解实验的结果表明CaH2提高了催化剂活性和抗氧性。CaH2助催性是由于其受热分解过程中产生的H2能将Cu2+还原为具有催化活性的Cu+,同时使催化剂表面洁净光滑更容易吸附NO。     

佛山市臭氧浓度时间变化特征及主要影响因子

对佛山市2011—2014年O_3监测数据进行分析,结果表明,ρ(O_3)日变化呈现明显的单峰特征,2011—2014年O_3日最大8小时滑动均值(O3-8 h)的年评价值没有出现显著的下降趋势,超标值多出现在8—10月。夏季O3-8 h与日平均气温的相关系数较高,O_3污染多发生在气温30℃,相对湿度为50%~70%的气象条件下。相对湿度60%,气温为20~25℃,也可能出现O3污染。10℃时,不同的温度条件下,O_3与PM_(2.5)存在正相关关系。在不同的季节时段,O_3-8 h基本随着ρ(NO_2)/ρ(NO)增大而增大。     

青岛市采暖期PM2．5与大气能见度的关系

利用青岛市大气综合观测站的研究性监测数据,分析了2011年采暖期PM2.5和能见度的相关性,结果表明：①能见度在≤3km时,对应的PM2.5浓度超出0．250mg／m^3,属于严重污染;②PM2.5浓度对能见度的影响存在一临界区域,当PM2.5浓度低于该临界区时能见度会随PM2.5浓度减少迅速改善,临界值大致位于PM2.5浓度为0．100mg／m^3处;③相对湿度小于85％时,能见度与PM2.5浓度呈显著负相关。其中,相对湿度在60％-70％时,能见度与PM2.5浓度之间的相关性最好,PM2.5对能见度的影响最直接。     

Scaling range sizes to threats for robust predictions of risks to biodiversity

Assessments of risk to biodiversity often rely on spatial distributions of species and ecosystems. Range‐size metrics used extensively in these assessments, such as area of occupancy (AOO), are sensitive to measurement scale, prompting proposals to measure them at finer scales or at different scales based on the shape of the distribution or ecological characteristics of the biota. Despite its dominant role in red‐list assessments for decades, appropriate spatial scales of AOO for predicting risks of species’ extinction or ecosystem collapse remain untested and contentious. There are no quantitative evaluations of the scale‐sensitivity of AOO as a predictor of risks, the relationship between optimal AOO scale and threat scale, or the effect of grid uncertainty. We used stochastic simulation models to explore risks to ecosystems and species with clustered, dispersed, and linear distribution patterns subject to regimes of threat events with different frequency and spatial extent. Area of occupancy was an accurate predictor of risk (0.81<|r|<0.98) and performed optimally when measured with grid cells 0.1–1.0 times the largest plausible area threatened by an event. Contrary to previous assertions, estimates of AOO at these relatively coarse scales were better predictors of risk than finer‐scale estimates of AOO (e.g., when measurement cells are <1% of the area of the largest threat). The optimal scale depended on the spatial scales of threats more than the shape or size of biotic distributions. Although we found appreciable potential for grid‐measurement errors, current IUCN guidelines for estimating AOO neutralize geometric uncertainty and incorporate effective scaling procedures for assessing risks posed by landscape‐scale threats to species and ecosystems.     

Efficacy of extracting indices from large‐scale acoustic recordings to monitor biodiversity

Passive acoustic monitoring could be a powerful way to assess biodiversity across large spatial and temporal scales. However, extracting meaningful information from recordings can be prohibitively time consuming. Acoustic indices (i.e., a mathematical summary of acoustic energy) offer a relatively rapid method for processing acoustic data and are increasingly used to characterize biological communities. We examined the relationship between acoustic indices and the diversity and abundance of biological sounds in recordings. We reviewed the acoustic‐index literature and found that over 60 indices have been applied to a range of objectives with varying success. We used 36 of the most indicative indices to develop a predictive model of the diversity of animal sounds in recordings. Acoustic data were collected at 43 sites in temperate terrestrial and tropical marine habitats across the continental United States. For terrestrial recordings, random‐forest models with a suite of acoustic indices as covariates predicted Shannon diversity, richness, and total number of biological sounds with high accuracy (R² ≥ 0.94, mean squared error [MSE] ≤170.2). Among the indices assessed, roughness, acoustic activity, and acoustic richness contributed most to the predictive ability of models. Performance of index models was negatively affected by insect, weather, and anthropogenic sounds. For marine recordings, random‐forest models poorly predicted Shannon diversity, richness, and total number of biological sounds (R² ≤ 0.40, MSE ≥ 195). Our results suggest that using a combination of relevant acoustic indices in a flexible model can accurately predict the diversity of biological sounds in temperate terrestrial acoustic recordings. Thus, acoustic approaches could be an important contribution to biodiversity monitoring in some habitats.     

Effects of age and sex ratios on offspring recruitment rates in translocated black rhinoceros

Success of animal translocations depends on improving postrelease demographic rates toward establishment and subsequent growth of released populations. Short‐term metrics for evaluating translocation success and its drivers, like postrelease survival and fecundity, are unlikely to represent longer‐term outcomes. We used information theory to investigate 25 years of data on black rhinoceros (Diceros bicornis) translocations. We used the offspring recruitment rate (ORR) of translocated females—a metric integrating survival, fecundity, and offspring recruitment at sexual maturity—to detect determinants of success. Our unambiguously best model (AICω = 0.986) predicted that ORR increases with female age at release as a function of lower postrelease adult rhinoceros sex ratio (males:females). Delay of first postrelease reproduction and failure of some females to recruit any calves to sexual maturity most influenced the pattern of ORRs, and the leading causes of recruitment failure were postrelease female death (23% of all females) and failure to calve (24% of surviving females). We recommend translocating older females (≥6 years old) because they do not exhibit the reproductive delay and low ORRs of juveniles (<4 years old) or the higher rates of recruitment failure of juveniles and young adults (4–5.9 years old). Where translocation of juveniles is necessary, they should be released into female‐biased populations, where they have higher ORRs. Our study offers the unique advantage of a long‐term analysis across a large number of replicate populations—a science‐by‐management experiment as a proxy for a manipulative experiment, and a rare opportunity, particularly for a large, critically endangered taxon such as the black rhinoceros. Our findings differ from previous recommendations, reinforce the importance of long‐term data sets and comprehensive metrics of translocation success, and suggest attention be shifted from ecological to social constraints on population growth and species recovery, particularly when translocating species with polygynous breeding systems.     

Biodegradability and compostability of polymers—test methods and criteria for evaluation

The treatment of solid waste in controlled composting facilities is an important possibility for reducing garbage. Natural and synthetic polymeric materials can be used for many purposes, for example, as packaging materials, where compostability is required. A prerequisite for official regulations and the decision as to which materials may be composted is investigations on their biodegradability and the quality of the compost produced. Several standardization groups at the ISO, CEN, and DIN are developing definitions, test methods, and classification systems for differentiating compostable from noncompostable materials. The concept which will be standardized and used in Germany is described in detail. It includes characterization of the test material, determination of the biodegradability using laboratory tests such as simple aquatic batch tests and a controlled aerobic composting test, investigation of the disintegration of the test material in industrial or bench-scale composting facilities, and finally, chemical and ecotoxicological analysis of the compost produced.