北京市大气PM2.5中矿物成分的污染特征

为了解北京市大气细粒子中矿物成分的浓度水平和污染特征,在清华园和车公庄进行了连续1a的PM_2.5累积周采样和全样品分析.Al、Si、Ca、Mg和Fe等地壳元素的周变化相似,最大周均浓度均出现在春季有强沙尘天气的一周;其季节变化显著,显示季节性的源排放以及气象条件对矿物成分的含量影响显著.土壤尘的季节平均浓度从夏季逐步上升,至次年春季达到最高(21.1 μg·m^-3),表明春季频繁发生的沙尘天气对土壤尘细粒子有重要贡献.大量的建筑活动可能大大增加了北京细粒子中Ca的负荷,应加强其排放控制.     

航站楼旅客群体性事件预警监控系统架构及关键技术

针对航站楼旅客群体性事件的智能化预警问题,在民用机场航站楼内的现有视频监控系统的基础上,提出旅客群体性事件预警监控系统架构和关键技术。针对航站楼内的视频监控系统的视频数据进行预处理;基于空间聚类算法,从图像中提取人群聚集特征;针对目标监控区域的历史视频和突发事件数据进行统计分析,研究正常和非正常两种情况下的人群分布特征,并建立相应的预警规则库;根据预警规则,在人群聚集特征识别的基础上,对非正常目标密集人群进行识别。该系统可根据航站楼旅客群集性事件的时空特性,针对不同事件、不同时间、不同地点采用不同的规则进行预警,提高了预警的可靠性。     

乙草胺对蛋白核小球藻的毒性效应研究

乙草胺是我国使用量最大的除草剂之一,在水体中广泛存在。已有研究证明,乙草胺对人类、老鼠和鱼类具有毒害效应,而关于其对浮游植物影响的研究较少。以蛋白核小球藻(Chlorella pyrenoidosa)为模型,使用1～10 000μg·L~(-1)的乙草胺对其进行7 d的暴露实验,考察小球藻生长性能、叶绿素含量、光合作用产氧量以及光合作用相关基因(pbsA、rbcL和rbcS)表达的变化。结果表明,较低浓度的乙草胺可刺激蛋白核小球藻生长,而较高浓度乙草胺则会抑制其生长;并且乙草胺会通过影响小球藻叶绿素的含量而影响光合作用产氧量;小球藻光合作用相关基因pbsA、rbcL和rbcS表达大多显著上升,这可能是对乙草胺胁迫响应的反馈调节。研究表明,乙草胺会对蛋白核小球藻的生长及光合作用产生影响。     

Carbon nanotubes-incorporated MIL-88B-Fe as highly efficient Fenton-like catalyst for degradation of organic pollutants

CNTs were incorporated into MIL-88B-Fe to get a new Fenton-like catalyst (C@M). Fe(II) was introduced in C@M to get a fast initiation of Fenton-like reaction. Fe(II) content in C@M was related with oxygen-containing functional groups on CNTs. C@M shows efficient catalytic degradation of pollutants over a wide pH range. Iron-based metal organic frameworks have been verified to be efficient heterogeneous Fenton catalysts due to their open pore channels and highly uniform distribution of metallic centers. In these catalysts, however, the iron element is mainly in the form of Fe(III), which results in a process required to reduce Fe(III) to Fe(II) to initiate Fenton reaction. To address this problem, carbon nanotubes (CNTs) with electron-rich oxygen-functional groups on the surface were incorporated into the metal organic frameworks (MIL-88B-Fe) to improve Fe(II) content for an enhanced Fenton-like performance. The prepared CNT@MIL-88B-Fe (C@M) showed much stronger catalytic ability toward H₂O₂ than MIL-88B-Fe. The pseudo-first-order kinetic constant for phenol degradation by C@M (0.32 min^–1) was about 7 times that of MIL-88B-Fe, and even higher than or comparable to the values of reported heterogeneous Fenton-like catalysts. Moreover, the Fenton-like system could effectively degrade various kinds of refractory organic pollutants and exhibited excellent catalytic activity over a wide pH range (4–9). XPS analysis confirmed that Fe(II) content of the catalyst gradually increased with CNT loadings. Electron spin resonance analysis showed that the signal intensity (•OH) of C@M was much higher than MIL-88B-Fe, which was consistent with the degradation efficiency of pollutants. Furthermore, the Fe(II) content of the catalyst gradually increased along with the oxygen-functional group content of CNTs. The result demonstrated that oxygen-containing functional groups of CNTs have a significant impact on the enhanced catalytic performance of C@M. This study provides a new insight to enhance Fenton reaction by using nanocarbon materials.     

Minimizing opportunity costs to aquatic connectivity restoration while controlling an invasive species

Controlling invasive species is critical for conservation but can have unintended consequences for native species and divert resources away from other efforts. This dilemma occurs on a grand scale in the North American Great Lakes, where dams and culverts block tributary access to habitat of desirable fish species and are a lynchpin of long‐standing efforts to limit ecological damage inflicted by the invasive, parasitic sea lamprey (Petromyzon marinus). Habitat restoration and sea‐lamprey control create conflicting goals for managing aging infrastructure. We used optimization to minimize opportunity costs of habitat gains for 37 desirable migratory fishes that arose from restricting sea lamprey access (0–25% increase) when selecting barriers for removal under a limited budget (US$1–105 million). Imposing limits on sea lamprey habitat reduced gains in tributary access for desirable species by 15–50% relative to an unconstrained scenario. Additional investment to offset the effect of limiting sea‐lamprey access resulted in high opportunity costs for 30 of 37 species (e.g., an additional US$20–80 million for lake sturgeon [Acipenser fulvescens]) and often required ≥5% increase in sea‐lamprey access to identify barrier‐removal solutions adhering to the budget and limiting access. Narrowly distributed species exhibited the highest opportunity costs but benefited more at less cost when small increases in sea‐lamprey access were allowed. Our results illustrate the value of optimization in limiting opportunity costs when balancing invasion control against restoration benefits for diverse desirable species. Such trade‐off analyses are essential to the restoration of connectivity within fragmented rivers without unleashing invaders.     

Incorporating evolutionary processes into population viability models

We examined how ecological and evolutionary (eco‐evo) processes in population dynamics could be better integrated into population viability analysis (PVA). Complementary advances in computation and population genomics can be combined into an eco‐evo PVA to offer powerful new approaches to understand the influence of evolutionary processes on population persistence. We developed the mechanistic basis of an eco‐evo PVA using individual‐based models with individual‐level genotype tracking and dynamic genotype–phenotype mapping to model emergent population‐level effects, such as local adaptation and genetic rescue. We then outline how genomics can allow or improve parameter estimation for PVA models by providing genotypic information at large numbers of loci for neutral and functional genome regions. As climate change and other threatening processes increase in rate and scale, eco‐evo PVAs will become essential research tools to evaluate the effects of adaptive potential, evolutionary rescue, and locally adapted traits on persistence.     

Quantifying progress toward a conservation assessment for all plants

The Global Strategy for Plant Conservation (GSPC) set an ambitious target to achieve a conservation assessment for all known plant species by 2020. We consolidated digitally available plant conservation assessments and reconciled their scientific names and assessment status to predefined standards to provide a quantitative measure of progress toward this target. The 241,919 plant conservation assessments generated represent 111,824 accepted land plant species (vascular plants and bryophytes, not algae). At least 73,081 and up to 90,321 species have been assessed at the global scale, representing 21–26% of known plant species. Of these plant species, at least 27,148 and up to 32,542 are threatened. Eighty plant families, including some of the largest, such as Asteraceae, Orchidaceae, and Rubiaceae, are underassessed and should be the focus of assessment effort if the GSPC target is to be met by 2020. Our data set is accessible online (ThreatSearch) and is a baseline that can be used to directly support other GSPC targets and plant conservation action. Although around one‐quarter of a million plant assessments have been compiled, the majority of plants are still unassessed. The challenge now is to build on this progress and redouble efforts to document conservation status of unassessed plants to better inform conservation decisions and conserve the most threatened species.     

水稻田的甲烷释放特性及其生物学机理

本文报导采用土柱法和田间原位法研究渍水稻田甲烷释放特性的结果。不同生育期的测定表明,早稻以分蘖盛期时释放量最大,以后逐渐减少,晚稻从分蘖始期起逐渐增加,至分蘖盛期、末期时达到最大,随后在孕穗期急剧减少,至生长后期又有所回升。以原位法测定表明,晚间和上午释放的甲烷量较多,中午几乎无甲烷释放,下午又有少量释放。不同施肥区稻田甲烷释放量明显不同,以施猪粪有机肥区为最高,次为施尿素无机氮区,不施肥区最低。但各施肥区水稻不同生育期的甲烷释放趋势完全一致,以分蘖期释放量最大,稻田释放的甲烷主要是稻植株释放的,可占总释放量的85％以上。行株间土壤释放的量不多。田间水释放极少,就植株而言,甲烷释放部位主要是在与土壤密切结合的未扰动的根基和根系部位,水面下茎秆白色部分和水上绿色部分几乎无释放。根系也主要是靠近根基的上半部分,根尖部位甲烷形成活性明显小得多。且研究表明,产甲烷细菌附存于根表而不进入根内组织。根际土壤中产甲烷细菌、厌氧性纤维素分解细菌和甲烷氧化细菌的数量以及总挥发有机酸含量都明显高于和行间土壤。