汽车尾气和大气中C1—C4烃类分析方法研究

采用熔融性Ａｌ２Ｏ３／ＫＣｌ大孔径毛细管柱，用气相色谱直接进样方式，对汽车尾气中的低碳烃类化合物进行了分析监测。在汽车尾气中检出了３２个色谱峰，对其中的１０种烃类化合物进行了定量测定。浓度在２５μｇ／Ｌ－２０ｍｇ／Ｌ范围内与峰面积有良好的线性关系，方法的相对标准偏差小于１０％；样品的回收率为８５．０％－１１５．０％；最低检出浓度为２５μｇ／Ｌ。     

五氯酚对稀有鮈鲫胚胎毒性效应研究

研究五氯酚(PCP)对稀有鮈鲫(Gobiocypris rarus)胚胎的致畸和毒性效应.以7.5,30,60,120,250μg/L5个浓度的PCP对0hpf(hpf,受精卵孵出时间)的稀有鮈鲫胚胎进行暴露染毒,同时设置空白对照组、二甲基亚砜溶剂对照组和雌二醇(EE2,2.5ng/L)阳性对照组.在立体显微镜下观察整个胚胎的发育过程,统计胚胎的孵化率、96hpf相对存活率和各时期的畸形率,并利用半定量RT-PCR检测胚胎中CYP1A基因和p53基因mRNA的表达.结果表明,PCP暴露能延迟稀有鮈鲫胚胎发育,并造成胚胎卵凝结、心包囊肿、脊柱弯曲等多种畸形甚至死亡.随着PCP暴露浓度的升高,稀有鮈鲫胚胎的孵化率和96hpf相对存活率降低,各时期的畸形率增加,并呈现一定的浓度效应.稀有鮈鲫胚胎CYP1A基因和p53基因mRNA表达被显著诱导,并随PCP浓度的升高而增加.PCP对稀有鮈鲫胚胎发育表现为显著的毒性效应.稀有鮈鲫胚胎孵化率、96hpf相对存活率、各时期畸形率及CYP1A基因和p53基因的诱导表达可以作为评价PCP毒性作用的敏感指标.     

应用GM(1,1)模型预测阿什河水质变化趋势

GM(1,1)模型在水质预测中得到了较为广泛的运用。本文应用GM(1,1)模型对阿什河入松花江口内断面中高锰酸盐指数和氨氮两项指标的浓度变化趋势进行了预测,结果表明:高锰酸盐指数浓度呈上升趋势,氨氮浓度呈下降趋势。对比灰色动态模型群和子模型的预测结果精度,发现对于两极分化的数据,模型群预测结果的关联度低于子模型。本文将为制定阿什河水质改善方案提供科学依据。     

Dispersive liquid–liquid microextraction of silver nanoparticles in water using ionic liquid 1-octyl-3-methylimidazolium hexafluorophosphate

Using the ionic liquid(IL)1-octyl-3-methylimidazolium hexafluorophosphate as the extractant and methanol as the dispersion solvent,a dispersive liquid–liquid microextraction method was developed to extract silver nanoparticles(AgN Ps)from environmental water samples.Parameters that influenced the extraction efficiency such as IL concentration,pH and extraction time were optimized.Under the optimized conditions,the highest extraction efficiency for AgN Ps was above 90% with an enrichment factor of 90.The extracted AgN Ps in the IL phase were identified by transmission electron microscopy and ultraviolet–visible spectroscopy,and quantified by inductively coupled plasma mass spectrometry after microwave digestion,with a detection limit of 0.01 μg/L.The spiked recovery of AgN Ps was 84.4% with a relative standard deviation(RSD)of 3.8%(n = 6)at a spiked level of 5 μg/L,and 89.7% with a RSD of 2.2%(n = 6)at a spiked level of 300 μg/L,respectively.Commonly existed environmental ions had a very limited influence on the extraction efficiency.The developed method was successfully applied to the analysis of Ag NPs in river water,lake water,and the influent and effluent of a wastewater treatment plant,with recoveries in the range of 71.0%–90.9% at spiking levels of 0.11–4.7 μg/L.     

1-(2,6-二氯-4-硝基苯)-3-(4-硝基苯)-三氮烯光度法测定矿山废水中的锌

研究了用1-(2,6-二氯-4-硝基苯)-3-(4-硝基苯)-三氮烯(DCNPNPT)分光光度法快速直接测定锌的方法。在表面活性剂TritonX-15的存在下,pH=9.5～10.5的Na2B4O7-NaOH介质中,DCNPNPT与锌( )可生成1∶3的橙黄色络合物。最大吸收波长为445nm,同时在535nm配合物有一最大负吸收,建立以535nm为参比波长,445nm为测定波长的双峰双波长法进行测定,表观摩尔吸光系数可达1.12×105L/(mol·cm)。用拟定的方法测定矿山废水中的锌,与原子吸收法测定的结果十分吻合,结果令人满意。     

柴油车烟度计维修二例

环境监测仪器由于受环境条件等因素的影响 ,经常会出现各种故障 ,文章对柴油车烟度计检测时表头指针无指示故障进行了系统分析 ,并介绍了维修方法和步骤     

基于环境一号卫星CCD数据的巢湖叶绿素a的动态监测

环境一号卫星CCD数据具有获取周期短、空间分辨率高等特点,能够及时准确地监测叶绿素a的浓度变化和分布,其在内陆湖泊水质遥感监测方面具有良好的应用前景。文章通过星地同步地面实验,建立起巢湖水体的叶绿素a浓度遥感反演模型,利用2009年4月至2010年3月的环境一号卫星CCD数据,分季节对巢湖叶绿素a行动态监测和分析。结果表明,巢湖叶绿素a具有明显的时空分布特征,夏季叶绿素a浓度最高,冬季最低,秋季高于春季;西半湖湖区叶绿素a浓度一般高于东半湖湖区,西北部和中部湖区空间变化比较大,东部湖区变化较小。     

The importance of incorporating functional habitats into conservation planning for highly mobile species in dynamic systems

The distribution of mobile species in dynamic systems can vary greatly over time and space. Estimating their population size and geographic range can be problematic and affect the accuracy of conservation assessments. Scarce data on mobile species and the resources they need can also limit the type of analytical approaches available to derive such estimates. We quantified change in availability and use of key ecological resources required for breeding for a critically endangered nomadic habitat specialist, the Swift Parrot (Lathamus discolor). We compared estimates of occupied habitat derived from dynamic presence‐background (i.e., presence‐only data) climatic models with estimates derived from dynamic occupancy models that included a direct measure of food availability. We then compared estimates that incorporate fine‐resolution spatial data on the availability of key ecological resources (i.e., functional habitats) with more common approaches that focus on broader climatic suitability or vegetation cover (due to the absence of fine‐resolution data). The occupancy models produced significantly (P < 0.001) smaller (up to an order of magnitude) and more spatially discrete estimates of the total occupied area than climate‐based models. The spatial location and extent of the total area occupied with the occupancy models was highly variable between years (131 and 1498 km²). Estimates accounting for the area of functional habitats were significantly smaller (2–58% [SD 16]) than estimates based only on the total area occupied. An increase or decrease in the area of one functional habitat (foraging or nesting) did not necessarily correspond to an increase or decrease in the other. Thus, an increase in the extent of occupied area may not equate to improved habitat quality or function. We argue these patterns are typical for mobile resource specialists but often go unnoticed because of limited data over relevant spatial and temporal scales and lack of spatial data on the availability of key resources. Understanding changes in the relative availability of functional habitats is crucial to informing conservation planning and accurately assessing extinction risk for mobile resource specialists.     

Spatial,socio‐economic,and ecological implications of incorporating minimum size constraints in marine protected area network design

Marine protected areas (MPAs) are the cornerstone of most marine conservation strategies, but the effectiveness of each one partly depends on its size and distance to other MPAs in a network. Despite this, current recommendations on ideal MPA size and spacing vary widely, and data are lacking on how these constraints might influence the overall spatial characteristics, socio‐economic impacts, and connectivity of the resultant MPA networks. To address this problem, we tested the impact of applying different MPA size constraints in English waters. We used the Marxan spatial prioritization software to identify a network of MPAs that met conservation feature targets, whilst minimizing impacts on fisheries; modified the Marxan outputs with the MinPatch software to ensure each MPA met a minimum size; and used existing data on the dispersal distances of a range of species found in English waters to investigate the likely impacts of such spatial constraints on the region's biodiversity. Increasing MPA size had little effect on total network area or the location of priority areas, but as MPA size increased, fishing opportunity cost to stakeholders increased. In addition, as MPA size increased, the number of closely connected sets of MPAs in networks and the average distance between neighboring MPAs decreased, which consequently increased the proportion of the planning region that was isolated from all MPAs. These results suggest networks containing large MPAs would be more viable for the majority of the region's species that have small dispersal distances, but dispersal between MPA sets and spill‐over of individuals into unprotected areas would be reduced. These findings highlight the importance of testing the impact of applying different MPA size constraints because there are clear trade‐offs that result from the interaction of size, number, and distribution of MPAs in a network.     

Improving effectiveness of systematic conservation planning with density data

Systematic conservation planning aims to design networks of protected areas that meet conservation goals across large landscapes. The optimal design of these conservation networks is most frequently based on the modeled habitat suitability or probability of occurrence of species, despite evidence that model predictions may not be highly correlated with species density. We hypothesized that conservation networks designed using species density distributions more efficiently conserve populations of all species considered than networks designed using probability of occurrence models. To test this hypothesis, we used the Zonation conservation prioritization algorithm to evaluate conservation network designs based on probability of occurrence versus density models for 26 land bird species in the U.S. Pacific Northwest. We assessed the efficacy of each conservation network based on predicted species densities and predicted species diversity. High‐density model Zonation rankings protected more individuals per species when networks protected the highest priority 10‐40% of the landscape. Compared with density‐based models, the occurrence‐based models protected more individuals in the lowest 50% priority areas of the landscape. The 2 approaches conserved species diversity in similar ways: predicted diversity was higher in higher priority locations in both conservation networks. We conclude that both density and probability of occurrence models can be useful for setting conservation priorities but that density‐based models are best suited for identifying the highest priority areas. Developing methods to aggregate species count data from unrelated monitoring efforts and making these data widely available through ecoinformatics portals such as the Avian Knowledge Network will enable species count data to be more widely incorporated into systematic conservation planning efforts.