Coptis teeta-based agroforestry system and its conservation potential: a case study from northwest Yunnan

Coptis teeta (Ranunculaceae), is a nontimber forest product (NTFP) that only grows in northwest Yunnan and northeast India. Its tenuous rhizome, known as "Yunnan goldthread" in the traditional Chinese medicine system, has been used as an antibacterial and as an antiinflammatory medicine for a long time. The increasing demand has resulted in commercial harvesting pressure on wild populations that were already dwindling as a result of deforestation, and wild populations are at risk of extinction. Fortunately, there exists at least 2000 hectares of a C. teeta-based agroforestry system initiated by the Lisu people in Nujiang, northwest Yunnan. This cultivation supplies us with a valuable study case for the balance between conservation and sustainable use. This case study investigated the traditional management system and history of C. teeta in Nujiang through ethnobotanical methods and field investigation. We also contrasted initial costs, economic returns, and labor demands for C. teeta cultivation with other major land uses in the region. Compared with swidden agriculture, the major land-use type in the region, C. teeta cultivation offers high economic returns and low labor and initial costs; moreover, C. teeta cultivation does not interfere with subsistence agricultural duties. This agroforestry system reflected that the cultivation of NTFPs is a conservation strategy for maintaining forest diversity, while providing a stable economic return to local forest communities, and indicates how local people manage biodiversity effectively.     

Assessing sensitivity of source term estimation

Source term estimation algorithms compute unknown atmospheric transport and dispersion modeling variables from concentration observations made by sensors in the field. Insufficient spatial and temporal resolution in the meteorological data as well as inherent uncertainty in the wind field data make source term estimation and the prediction of subsequent transport and dispersion extremely difficult. This work addresses the question: how many sensors are necessary in order to successfully estimate the source term and meteorological variables required for atmospheric transport and dispersion modeling?The source term estimation system presented here uses a robust optimization technique – a genetic algorithm (GA) – to find the combination of source location, source height, source strength, surface wind direction, surface wind speed, and time of release that produces a concentration field that best matches the sensor observations. The approach is validated using the Gaussian puff as the dispersion model in identical twin numerical experiments. The limits of the system are tested by incorporating additive and multiplicative noise into the synthetic data. The minimum requirements for data quantity and quality are determined by an extensive grid sensitivity analysis. Finally, a metric is developed for quantifying the minimum number of sensors necessary to accurately estimate the source term and to obtain the relevant wind information.     

A two-step approach for relating tapered element oscillating microbalance and dichotomous air sampler PM2.5 measurements

A method for transforming continuous monitoring (CM) fine particulate matter (aerodynamic diameter <2.5 μm; PM_2.5) data (i.e., by tapered element oscillating microbalance [TEOM]) obtained from the Canadian National Air Pollution Surveillance (NAPS) program to meet the data quality objective (DQO) of R² > 0.8 against the co-located federal reference method (i.e., dichotomous air sampler) is described. By using a two-step linear regression to account for the effect of the ambient temperature, 16 out of the 23 examined sites met the common model adequacy threshold of R² > 0.8. After the transformation, 20 out of the 23 examined sites met the DQO of R² > 0.7, as recommended by the U.S. Environmental Protection Agency (EPA). A combined two-step statistical approach was also examined and revealed similar results. The methods described herein show that the CM data can be successfully transformed to meet DQOs for representative sites across Canada using year-round (both summer and winter) data.

Implications:This study provides a transformation approach to correct ambient TEOM data against the federal reference method without dividing the ambient data according to warm and cold seasons. This transformation approach will significantly improve the correlation coefficient between TEOM and dichotomous air sampler data. It is possible that TEOM data at many Canadian locations can be transformed to meet the EPA data quality objective, thus making this transformation approach useful for comparisons of ambient PM data across jurisdictions.     

燃煤飞灰颗粒物中元素分布规律的研究

利用ICP-AES光谱仪和TOC总碳分析仪对不同粒级下的飞灰颗粒进行了元素测定,对元素分布规律的形成原因进行了分析.分析结果表明:煤经旋流燃烧器燃烧而未经过除尘设备的飞灰中300目以下小颗粒含量较高.随着燃烧温度的升高,大颗粒的含碳量增加,小颗粒的含碳量减少,元素Al、Mg、Cr在各个粒级中含量变化不大,Ti、Ba、V在大于280目的小颗粒中含量有下降趋势,其他大部分痕量元素在大于300目的小颗粒中得到富集.     

燃煤飞灰中痕量元素的研究

综述了煤中痕量元素的含量分布、煤燃烧过程中痕量元素的分布转化规律,总结了痕量元素在飞灰中的富集规律和赋存状态,以及痕量元素的释放控制方法和技术,并探讨了今后的研究方向.     

Biosorption and degradation of decabromodiphenyl ether by <Emphasis Type="Italic">Brevibacillus brevis</Emphasis> and the influence of decabromodiphenyl ether on cellular metabolic responses

There is global concern about the effects of decabromodiphenyl ether (BDE209) on environmental and public health. The molecular properties, biosorption, degradation, accumulation, and cellular metabolic effects of BDE209 were investigated in this study to identify the mechanisms involved in the aerobic biodegradation of BDE209. BDE209 is initially absorbed by wall teichoic acid and N-acetylglucosamine side chains in peptidoglycan, and then, BDE209 is transported and debrominated through three pathways, giving tri-, hepta-, octa-, and nona-bromodiphenyl ethers. The C–C bond energies decrease as the number of bromine atoms on the diphenyl decreases. Polybrominated diphenyl ethers (PBDEs) inhibit protein expression or accelerate protein degradation and increase membrane permeability and the release of Cl^?, Na⁺, NH₄ ⁺, arabinose, proteins, acetic acid, and oxalic acid. However, PBDEs increase the amounts of K⁺, Mg²⁺, PO₄ ^3?, SO₄ ^2?, and NO₃ ^? assimilated. The biosorption, degradation, accumulation, and removal efficiencies when Brevibacillus brevis (1 g L^?1) was exposed to BDE209 (0.5 mg L^?1) for 7 days were 7.4, 69.5, 16.3, and 94.6 %, respectively.     

铜在鲤鱼(Cyprinus carpio)鱼鳃微环境中的形态分布

利用 Playle设计的装置测定了不同铜暴露水平下鲤鱼鳃部进出水中的游离铜离子浓度、粘液含量及有关参数 .用MINTEQA2和单配位体模型联合的试算方法计算了不同形态铜含量以及鳃部粘液对铜的络合能力 .结果表明 ,利用该算法可以获得鱼鳃微环境金属形态分布的准确结果 ,同时可以得到与鱼鳃粘液络合能力有关的参数 .随着暴露铜含量增加 ,粘液分泌量随之增加 ,鱼鳃微环境 p H和碱度也有所上升 .鱼鳃粘液的络合当量浓度 ( Cu/ C)和稳定常数 (对数 )分别为 0 .95mmol/ mg和5.32 .就铜形态分布而言 ,鱼鳃微环境与外部水相的主要差别表现在相对较高的羟基络合态铜含量以及占总量 3%～ 2 0 %的鱼鳃粘液络合态铜 .     

深圳冬季大气气态硝酸和硝酸盐气粒分配特征

利用双通道在线气体和气溶胶分析仪（MARGA）在深圳冬季同时观测了PM_2.5和PM₁₀中水溶性无机离子及气态前体物浓度变化,以探究气态硝酸（HNO₃）和颗粒态硝酸盐（pNO₃^-）的气粒分配特征.结果表明,气态硝酸和颗粒态硝酸盐总和TNO₃（TNO₃=HNO₃+pNO₃^-）中,气态HNO₃、细颗粒NO₃^-和粗颗粒NO₃^-三个部分的占比分别为9.6%、56.8%和33.6%.TNO₃浓度日变化呈现双峰特征,上午峰值来自于细颗粒态NO₃^-增加,由交通早高峰排放NO_x转化生成所致;白天光化学反应使TNO₃的3个部分浓度均增加,TNO₃在下午17：00达到全天峰值.相关分析表明,低温有利于NO₃^-以NH₄NO₃存在于细颗粒态;TNO₃浓度较高时,细颗粒态NO₃^-占比亦升高.     

牛粪发酵过程中抗生素耐药基因及相关菌群组成变化规律

随着规模化奶牛养殖迅速发展,牛粪带来的环境污染问题日益严重。实验探究牛粪及其堆肥过程中养分变化、抗生素耐药基因消减情况以及细菌群落演替规律,探讨细菌菌群与养分、抗生素耐药基因之间的相关性。采集牛粪及其堆肥过程样品,测定样品中养分、检测抗生素耐药基因相对丰度,采用16S r RNA高通量测序技术研究牛粪堆肥过程细菌群落变化。结果表明,从新鲜牛粪(组FM)到发酵牛粪(组C),样品中有机质含量下降,全氮和全磷含量有不同程度增加,全钾(TK)显著升高(P<0.05)。堆肥发酵后,抗生素耐药基因erm B、tet M、bla CTX-M和aac(6')-Ib-cr的相对丰度呈现不同程度的下降,而基因sul1相对丰度增加。高通量测序结果表明,在门水平,各组均以Firmicutes、Proteobacteria和Bacteroidetes这3个菌门为主,在属水平,各组具有不同的优势物种,其中发现Bacteroides、Paeniclostridium和Pseudomonas等7个潜在病原菌属的相对丰度在堆肥后有效降低。通过相关性分析发现,潜在病原菌属与基因tet M和sul1呈显著正相关(P<0.05),此外,大部分优势菌属与养分TK有显著相关性(P<0.05)。研究结果表明,牛粪经堆肥发酵后,病原菌相对丰度有效降低,抗生素耐药基因相对丰度的下降与细菌菌群结构变化存在相关关系。     

铜在鲤鱼(Cyprinus carpio)鱼鳃微环境中的形态分布

利用Playle设计的装置测定了不同铜暴露水平下鲤鱼鳃部进出水中的游离铜离子浓度、粘液含量及有关参数.用MINTEQA2和单配位体模型联合的试算方法计算了不同形态铜含量以及鳃部粘液对铜的络合能力.结果表明,利用该算法可以获得鱼鳃微环境金属形态分布的准确结果,同时可以得到与鱼鳃粘液络合能力有关的参数.随着暴露铜含量增加,粘液分泌量随之增加,鱼鳃微环境pH和碱度也有所上升.鱼鳃粘液的络合当量浓度(Cu/C)和稳定常数(对数)分别为0.95mmol/mg和5.32.就铜形态分布而言,鱼鳃微环境与外部水相的主要差别表现在相对较高的羟基络合态铜含量以及占总量3%～20%的鱼鳃粘液络合态铜.