水处理中微生物絮凝剂产生菌的选育及应用

综述了微生物絮凝剂产生菌筛选和培育方面的研究进展,介绍了微生物絮凝剂在给水和饮用水、乳化液的油水分离、污水处理等领域的应用,以及廉价培养基的探索实践。提出针对影响微生物絮凝剂产生菌生长代谢的环境条件开展深入研究,同时寻找或设计廉价培养基,降低生产成本,推动其工业化应用。     

资源科学的学科建设与人才培养模式的实践与思考

资源科学是自然科学、社会科学和工程技术科学相互交叉、相互渗透、相互结合的多学科横向发展的新学科领域,具有综合性、交叉性等学科特点。研究适应新时期面向国家和社会发展需求的资源科学学科建设与人才培养方向具有重要的科学与实践意义。在梳理资源科学的学科发展历程基础上,进一步探讨国内外高等院校资源科学的研究领域、学科体系建设、课程及专业设置和人才培养模式,总结了我国资源科学的学科建设和人才培养的成就与不足,以期更好地服务国家需求。     

芦苇植株对湿地温室气体排放的影响及其日变化特征

利用静态箱-气相色谱法对夏季(7月、8月和9月)长江河口湿地芦苇植被CO_2、CH_4和N_2O的叶面通量、茎秆扩散速率以及沉积物通量的日变化进行研究。结果显示,通过芦苇叶片排放的N_2O与CH_4的量分别为2.99μg/(m~2·h)和15.36μg/(m~2·h),CO_2则呈现白天吸收(-120.86 mg/(m~2·h))、夜间排放(69.39 mg/(m~2·h))的特点。芦苇茎秆N_2O、CH_4和CO_2平均扩散速率分别为1.96μg/h、142.45μg/h和10.69 mg/h,沉积物平均排放通量为N_2O 8.18μg/(m~2·h)、CH_41.58 mg/(m~2·h)、CO_2169.66 mg/(m~2·h)。芦苇茎秆和沉积物界面CH_4和CO_2的排放均呈现出明显的"单峰型"昼夜变化规律,其排放峰值集中在日照及温度最高的9:00至15:00。芦苇植株是影响温室气体排放变化的因素之一。芦苇植株在光合作用下吸收CO_2并促进CH_4的排放,而芦苇发达的根系及茎秆是温室气体排放的主要途径。同时,Pearson相关性分析表明温度对芦苇群落CH_4和NO2的排放影响显著,但与CO_2通量的相关性不明显。土壤氧化还原电位对3种气体的排放均有显著影响。     

Formation and Emission of N2O and CH4 from Compost Heaps of Organic Household Waster

Composting can be a source of N₂O andCH₄ production. In this investigation, differentcompost heaps of organic household waste weremonitored with the focus on potential formation ofCH₄ and N₂O in the heaps and emission ofthese gases from the heaps. The studied compost heapshad different compost ages, turning intervals andcompost sizes. The analysed compost gases containedbetween 1–3421 L of N₂O-N L^-1 and 0–470 mL of CH₄ L^-1. The emission rates ofN₂O and CH₄ from the compost heaps werebetween 1–1464 mg N₂O m^-2 day^-1 and0–119 000 mg CH₄ m^-2 day^-1. These verylarge differences in compost gas composition andemission indicate the importance of compostmanagement. The results also give an understanding ofwhere in the composting process an increasing emissionof N₂O and CH₄ can occur.     

Atrazine and Alachlor Inputs to Surface and Ground Waters in Irrigated Corn Cultivation Areas of Castilla-Leon Region, Spain

The inputs of atrazine and alachlor herbicides to surface and ground waters from irrigated areas dedicated to corn cultivation in the Castilla-León (C-L) region (Spain) as related to the application of both herbicides were studied. Enzyme-linked immunosorbent assays (ELISA) were used for monitoring the atrazine and alachlor concentrations in 98 water samples taken from these areas. Seventy-nine of the samples were of ground waters and 19 were of surface waters. The concentration ranges of the herbicides detected in the study period (October 1997–October 1998) were 0.04–25.3 g L^–1 in the surface waters and 0.04–3.45 g L^–1 in the ground waters for atrazine, and 0.06–31.9 g L^–1 in the surface waters and 0.05–4.85 g L^–1 in the ground waters in the case of alachlor. The highly significant correlation observed between the concentrations of both herbicides in the surface waters (r = 0.89, p < 0.001) pointed to a parallel transport of atrazine and alachlor to these waters. A study was made of the temporal evolution of the concentrations of both herbicides, and it was found a maximum recharge of atrazine in the ground waters for April 1998 and of alachlor in October 1997 and October 1998. The temporal evolution of the concentrations of both herbicides in surface waters was parallel. The highly significant correlations observed between atrazine concentrations determined by ELISA and by HPLC (r = 0.92, p < 0.001) and between alachlor concentrations also determined by both methods (r = 0.96, p < 0.001) confirmed the usefulness of ELISA for monitoring both herbicides in an elevated number of samples. Using HPLC, the presence in some waters of the alachlor ethanesulfonate (ESA) metabolite was found at a concentration range of 0.52–4.01 g L^–1. However the interference of ESA in the determination of alachlor by ELISA was negligible. The inputs of atrazine and alachlor to waters found in this study, especially the inputs to ground waters, could pose a risk for human health considering that some waters, though sporadically, are even used for human consumption.     

大气CO2浓度升高对农田生态系统的影响

自由大气CO2浓度升高(简称FACE,即Free A ir CO2Enrichment)对陆地生态系统的影响是全球变化研究中的一个热点。综述了FACE条件下,农田土壤植物生物量质量变化和土壤微生物对植物的反馈作用,以及土壤痕量气体排放的趋势变化。     

Y5复合产絮菌及其产絮物絮凝特性试验研究

从含大量微生物菌群的土壤中筛选出了具有产絮效果的Y5菌液。比较不同培养条件下Y5菌液的絮凝率得出 :菌液絮凝性能是其中 3种复合菌株共同作用的结果 ;培养基初始pH值在 5 .0～ 9.0的范围内时 ,Y5菌液的生长量及其上清液的絮凝率都较高。     

Methane emission in a rice field of Thailand

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长江口崇明东滩潮间带温室气体排放初步研究

采用原位静态箱法对长江口崇明东滩(CM)湿地3种主要温室气体CO2,CH4和N2O的排放、吸收通量进行现场测定。结果表明,春季(5月)崇明东滩湿地是大气CH4的排放源。中潮滩暗箱(CM-2b)CH4的排放通量为394.22μg/m2.h,明箱(CM-2w)为492.58μg/m2.h;低潮滩暗箱(CM-3b)CH4的排放通量为84.89μg/m2.h,明箱(CM-3w)为76.16μg/m2.h,植被和有机质含量的不同是造成中、低潮滩CH4通量差异的主要因素。中潮滩春季草的光和作用可以降低CO2和N2O的排放,明箱内表现为对CO2(-67.45 mg/m2.h)和N2O(-21.79μg/m2.h)的吸收,同时呼吸作用增加了潮滩-大气界面CO2和N2O的排放(CO2,730.27 mg/m2.h;N2O,109.72μg/m2.h)。而低潮滩(CM-3)表现为CO2和N2O的汇,但吸收的通量值较小。     

Developing Canada's National Forest Carbon Monitoring, Accounting and Reporting System to Meet the Reporting Requirements of the Kyoto Protocol

The rate of carbon accumulation in the atmosphere can be reduced by decreasing emissions from the burning of fossil fuels and by increasing the net uptake (or reducing the net loss) of carbon in terrestrial (and aquatic) ecosystems. The Kyoto Protocol addresses both the release and uptake of carbon. Canada is developing a National Forest Carbon Monitoring, Accounting and Reporting System in support of its international obligations to report greenhouse gas sources and sinks. This system employs forest-inventory data, growth and yield information, and statistics on natural disturbances, management actions and land-use change to estimate forest carbon stocks, changes in carbon stocks, and emissions of non-CO₂ greenhouse gases. A key component of the system is the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS). The model is undergoing extensive revisions to enable analyses at four spatial scales (national, provincial, forest management unit and stand) and in annual time steps. The model and the supporting databases can be used to assess carbon-stock changes between 1990 and the present, and to predict future carbon-stock changes based on scenarios of future disturbance rates and management actions.