象山港国华电厂强增温海域浮游动物群落结构和多样性的时空特征

为探明电厂强增温海域浮游动物群落结构和多样性的时空特征,于2011年在象山港国华电厂附近海域,采用浮游生物Ⅱ型网(网目160μm)进行10站位2重复的浮游动物季节性采样.结果表明,共识别出62种浮游动物(含幼体),平均丰度为9 531.1 ind.m-3.该海域浮游动物群落主要由桡足类和浮游幼体类组成,且以浮游幼体类为主,比例高达66.6%.相似性分析显示,各月间浮游动物群落结构差异极显著(P<0.01),控制群落结构的优势种有18种,最重要的判别种有瘦尾胸刺水蚤Centropages tenuiremis、大同长腹剑水蚤Oithona similis、伪长腹剑水蚤Oithona fallax、克氏纺锤水蚤Acartia clausi、长尾基齿哲水蚤Clausocalanus furcatus、针刺拟哲水蚤Paracalanus aculeatus和小拟哲水蚤Paracalanus parvus.GLM分析显示,月份间的多样性指数也存在极显著差异(P<0.01),经计算,各多样性指数随水温增加而下降的拐点水温范围为20.31～22.31℃.在断面上,离排水口0.2 km断面(D02)的平均水温比2 km断面高2.16℃.受温度影响,主要优势种如瘦尾胸刺水蚤和大同长腹剑水蚤倾向于向D02断面移动,克氏纺锤水蚤、尤其是大型浮游动物倾向于远离排水口,并向1.2 km断面聚集,使D02断面的种类数最少(33种)、丰度最低(5 522.8 ind.m-3),而1.2 km断面的种类数(53种)和丰度(16 491.0 ind.m-3)最高;同时,D02断面的多样性指数也明显低于其它断面.经线性回归分析,海域增温使多样性指数极显著下降(P<0.01),每增温1℃浮游动物丰富度下降12.3%.     

星形大分子液晶在气相色谱分析中的应用研究

将首次合成的偶氮苯硅氧烷类星形液晶大分子化合物用于毛细管柱气相色谱固定液 ,在其相转变温度附近具有良好的选择性 ,成功地分离了二甲酚异构体。     

人工湿地型微生物燃料电池研究进展述评

湿地型微生物燃料电池(Constructed Wetland-Microbial Fuel Cell,CW-MFC)由人工湿地和微生物燃料电池耦合而成,因其具有丰富的微生物种群和较强的电极催化活性,在水质净化和生物产电领域有着良好的应用前景。从CWMFC反应器结构、电极材料及电极布置、填充材料、湿地植物、微生物和运行参数等几个方面对其研究和应用现状进行述评。总体上,大多数CW-MFC系统的产电效果并不理想,普遍净能量回收率小于0.050(kW·h)/kg COD,但在污染物处理去除方面效果显著,COD去除率基本可以达到80%以上。目前,上流式的垂直流运行模式是最合理且常用的运行模式,颗粒状的石墨或者活性炭与金属集电器的组合则是理想的电极材料,较小电极间距、多电极和扩大阴极的电极布置可有效提高系统产电性能,脱水明矾污泥是最具有研究价值的填料。此外,湿地植物会明显提高CW-MFC产电性能,其影响因素包括根际微生物活性、根际分泌物、根际沉积物、径向泌氧、光合作用;湿地植物和电系统还会促进微生物种群增长从而提高系统性能。CW-MFC中的污染物负荷、HRT(大多为3 d)、运行温度(20~40℃)和pH值(7~9)也是提高系统性能的关键因素。总结了未来CW-MFC所面临的挑战及研究方向,包括如何提高产电效率补充能源消耗、新兴污染物的降解及降解机理的研究,以及与其他工艺的联合应用。     

四湖地区农产品增值研究

对四湖地区的农产品资源进行了全面的分析，该地区的农产品优势资源为大米，淡水鱼、牲猪、蔬菜和水生经济作物中的莲藕等。通过对该地区的农产品加工现状进行综合分析，认为农产品的加工增值存在的问题障碍了该地区农业进一步发展，进而提出了相应的措施以及变区域资源优势为地方经济优势的策略。     

Accumulation of metals by vegetation in a small drainage area exposed to aerotechnogenic pollution

Trends in the accumulation of metals by different plant species have been analyzed in a forest phytocenosis of the southern taiga zone of the Middle Urals, which is polluted by emissions from a copper-smelting plant. The rate of metal accumulation in the course of annual and net phytomass production and metal outflow with surface waters beyond the biogeocenosis boundaries have been estimated.Translated from Ekologiya, No. 1, 2005, pp. 26–31.Original Russian Text Copyright © 2005 by Fedorova, Odintseva.     

Effect of acidic deposition on productivity of forest ecosystem and estimation of its economic losses in southern suburbs of Chongqing

In accordance with principle sand methods of ecology, this paper studied the effects of acidic deposition on productivity and volume increment of masson pine and Cinnamomum campora forest which are widely distributed in southern suburbs of Chongqing. Based on the field data and measurements, a multivariable stepwise regression model was established to analyze the effects of multiple environmental factors on the productivity of the forest ecosystems. This model was used to assess the volume and economic losses of these two forest ecosystems caused by acidic deposition. The results showed that, among the environmental factors, pH value of precipitation, soil depth, soil organic contents and slope are the dominant ones influencing the growth of masson pine forest. It is also shown that the acidic deposition has no clear relation to the growth of C.Campora forest, so development of such broad-leaved forest is suitable in the area.     

建设项目环境影响经济评价方法研究

对建设项目进行环境影响经济评价的类型划分基础上，提出了环境影响经济评价指标体系，环境影响评价的“有无对比法”和“增量评价法”以及实例，并就评价方法运用的进一步研究，如评价参数的选取、评价结果的处理等提出了建议。     

径向基函数网络在水环境质量评价分区中的应用

为探讨水环境质量综合评价的客观方法 ,以江西抚州地下潜水水质资料为例 ,建立了该区地下潜水水环境质量综合评价的RBF ANN网络模型。通过与其它方法对比 ,结果表明 ,利用用RBF ANN方法进行水环境质量评价不仅方法简便 ,而且结论更接近客观实际     

新式十字轴径向挤压模具

此文提出了一种新式的十字轴径向挤压模具,此模具动作平稳可靠,生产率高,模具寿命较长,稍加改进后,此模具可适用于各种枝状件径向冷挤压或热锻.     

Long series relationships between global interannual CO2 increment and climate: evidence for stability and change in role of the tropical and boreal-temperate zones

Interannual variability in global CO₂ increment (averaged from the Mauna Loa and South Pole Stations) shows certain strong spatial relationships to both tropical and temperate temperatures. There is a fairly strong positive year-round correlation between tropical mean annual temperatures (leading by 4 months) and annual CO₂ throughout the time series since 1960, agreeing with the generally held view that the tropics play a major role in determining inter-annual variability in CO₂ increment, with a major CO₂ pulse following a warm year in the tropics. This ‘almost no lag’ climatic response is very strong during winter and relatively stable in time. However, the correlation with tropical temperature appears to have weakened in the first years of the 1990s in correspondence of the Pinatubo eruption and the positive phase of the AO/NAO. A secondary concurrent temperature signal is linked to summer variations of north temperate belt. Northern summer temperatures in the region 30–60 °N—and especially in the land area corresponding to the central east USA—have become relatively more closely correlated with CO₂ increment. This trend has become increasingly stronger in recent years, suggesting an increasing role for growing season processes in the northern midlatitudes in affecting global CO₂ increment. Once non-lagged annual tropical temperature variations are accounted for, terrestrial ecosystems, especially the temperate-boreal biomes, also show a coherent large scale lagged response. This involves an inverse response to annual temperature of preceding years centered at around 2 years before. This lagged response is most likely linked to internal biogeochemical cycles, in particular N cycling. During the study period north boreal ecosystems show a strengthening of the lagged correlation with temperature in recent years, while the lagged correlation with areas of tropical ecosystems has weakened. Residuals from a multiple correlations based on these climatic signals are directly correlated with SO, confirming an additional important role of upwelling in interannual variability of CO₂ increment. Cooler summers following the Pinatubo eruption and the possible influence of the North Atlantic Oscillation (NAO/AO) are discussed as factors responsible for the shift in the relative importance of different regions over time during the series of data.