基于光合色素的化学分类法在淡水藻类研究中的应用

采用反相高效液相色谱技术(RP HPLC)系统研究了我国主要淡水藻类--蓝藻、绿藻、硅藻、甲藻、金藻、裸藻和隐藻等的光合色素,在8种纯培养藻类中共确定类胡萝卜素、叶绿素及其衍生物19种。分离到的主要标志性色素按洗脱时间分别为脱植基叶绿素a、19′ 丁酰氧岩藻黄素、叶绿素c、脱镁叶绿素a、多甲藻素、甲基脱植基叶绿素a、岩藻黄素、新黄质、紫黄质、蓝藻叶黄素、硅甲藻黄素、硅藻黄质、叶黄素、玉米黄素、叶绿素b异构体、叶绿素b、叶绿素a异构体、叶绿素a和β 胡萝卜素;其中在纯培养的铜绿微囊藻中首次鉴定到19′ 丁酰氧岩藻黄素;通过官桥基地的实际监测,证实了该技术应用的可行性,为基于HPLC分析技术的浮游植物化学分类法提供了理论依据。     

1株异养硝化-好氧反硝化细菌DK1的分离鉴定及其脱氮特性

从某反应器活性污泥中分离筛选出1株假单胞菌属(Pseudomonas sp.)细菌,命名为DK1,并对该菌进行脱氮特性研究.在以葡萄糖为碳源,C/N量比为5时,分别以NaNO_3和NaNO_2为氮源,二者的好氧反硝化速率为4.09 mg·(L·h)-1和4.43mg·(L·h)~(-1).以二者同时为氮源脱氮率为100%;此外,菌株DK1具有异养硝化性能,NH_4~+-N平均去除速率为2.32mg·(L·h)-1.缺氧时以NO_2~--N为氮源菌株DK1可将一系列梯度浓度NO_2~--N(约100~300 mg·L-1)在36 h内降为0.当NO_3~--N和NO_2~--N同时存在时,菌株DK1会优先利用NO_3~--N进行反硝化.同时该菌株还具有同步硝化反硝化(SND)性能,可同时去除NH_4~+-N、NO_2~--N或NH_4~+-N、NO_3~--N,30 h内脱氮率分别达95.06%和94.69%.相同时间内在NH_4~+-N、NO_2~--N和NO_3~--N三者均存在时,脱氮效果最佳,达100%.菌株DK1的高效SND及反硝化性能表明其在处理含氮废水方面有一定的潜力和应用价值.     

Effect of sulfate on the methanogenic activity of a bacterial culture from a brewery wastewater during glucose degradation

The maximum specific methanogenic activity （SMA） of a sludge originating from a brewery wastewater treatment plant on the degradation of glucose was investigated at various levels of sulfate on a specific loading basis. Batch experiments were conducted in serum bottles at pH 7 and 35℃. A comparison of the values indicates that the SMA of this mixed culture was increased and reached its highest level of 0.128 g CH4 gas COD/（g VSS.d） when biomass was in contact with sulfate at a ratio of 1：0.114 by weight.     

哑铃湾网箱养殖对水环境的影响

2002-04～2003-01对哑铃湾不同网箱养殖区水质和底泥的实地监测调查和分析表明,哑铃湾网箱养殖对环境的影响主要是:①使得养殖水环境中营养盐、BOD、COD、有机质和TSS增加,尤其是PO₄^3--P和NH₃-N增加更为明显;②使得底泥沉积物中N、P、硫化物、有机质等大量富集,其中富集现象最明显的是P、硫化物和NH₄-N,其次是TN和有机质.     

高效降解微囊藻毒素食酸戴尔福特菌USTB-04的培养与活性研究

主要针对筛选的高效降解微囊藻毒素(microcystins,MCs)的食酸戴尔福特菌USTB-04(Delftia acidovorans,DA菌)的培养方法进行了研究.结果表明,以葡萄糖、甘油和乙醇作为惟一碳源时,与氯化铵和尿素相比,酵母粉是支持DA菌生长的较好氮源.在以酵母粉作为惟一氮源时,与甘油和乙醇相比,葡萄糖是提高DA菌生长速度的较好碳源.进一步研究显示,以葡萄糖和酵母粉作为碳源和氮源时,可以支持DA菌的快速稳定生长,但在以甘油和酵母粉作为碳源和氮源时.培养出的DA菌降解MCs的比活性最高.此研究在培养高细胞浓度DA菌作为生物催化剂用于饮用水源中的MCs去除方面具有重要意义.     

江苏阳澄湖螺类群落的空间分布格局

2008年1月～2009年10月对江苏阳澄湖螺类群落结构进行了季节调查研究。共采集到螺类4科5属6种,优势种为铜锈环棱螺,次优种为长角涵螺。阳澄湖螺类平均密度为220±47 ind./m2,平均生物量为2331±469 g/m2,螺类密度和生物量在年际和季节间均无明显差异,但群落结构存在显著的空间变化,密度在东湖区和中华绒螯蟹围网养殖区较大、西湖区最小,生物量围网养殖区最高、西湖区最低;铜锈环棱螺密度围网养殖区最高、西湖区最低,长角涵螺密度东湖区最高、围网养殖区次之、入湖河流及其它湖区极低。中华绒螯蟹养殖未导致围网养殖区螺类数量下降,螺类（主要是铜锈环棱螺）的投放可能是该区螺类密度、生物量及铜锈环棱螺所占比例较高的主要原因之一。逐步回归分析表明,水深是影响螺类群落整体密度和生物量空间分布差异的主要因子;典型对应分析（CCA）表明,铜锈环棱螺主要分布在叶绿素a较高的水域,而长角涵螺和纹沼螺则主要分布在透明度较大的地方     

渤海莱州湾沉积物-水界面溶解无机氮的扩散通量

为了解不同条件下沉积物中有机物对水体无机氮的贡献,采用野外采样和现场培养法,在１９９７－０５和１９９７－０７莱州湾２个航次进行了沉积物－水界面营养盐扩散通量的实验研究,ＮＯ－３和ＮＨ＋４的扩散通量分别为０．０３８—３．６５ｍｍｏｌ／（ｍ２·ｄ）和０．９６—２．５２ｍｍｏｌ／（ｍ２·ｄ）．培养结果说明充氮或充空气与加氯化汞或不加氯化汞对沉积物－水界面溶解无机氮的扩散通量没有明显影响．莱州湾底部营养盐的扩散通量与其它地区比较处于中等偏上水平．     

Acute and chronic toxicity of nickel to nitrifiers at different temperatures

This study investigated the acute nickel toxicity on nitrification of low ammonia synthetic wastewater at 10, 23, and 35°C. The nickel inhibition half-velocity constants(K_(I,Ni)) for ammonia oxidizing bacteria(AOB) and nitrite oxidizing bacteria(NOB) based on Ni/MLSS ratio at 10, 23, and 35°C were 5.4 and 5.6 mg Ni/g MLSS, 4.6 and 3.5 mg Ni/g MLSS, and 9.1 and 2.7 mg Ni/g MLSS, respectively. In addition, chronic toxicity of nickel to nitrification of low ammonia synthetic wastewater was investigated at 10°C in two sequencing batch reactors(SBRs). Long-term SBRs operation and short-term batch tests were comparable with respect to the extent of inhibition and corresponding Ni/MLSS ratio. The μ_(max), b, and K_o of AOB were 0.16 day~(-1), 0.098 day~(-1) and 2.08 mg O_2/L after long-term acclimatization to nickel of 1 mg/L at 10°C, high dissolved oxygen(DO)(7 mg/L) and long solids retention time(SRT) of 63–70 days. Acute nickel toxicity of nitrifying bacteria was completely reversible.     

高等学校应以精神文明建设为先导落实育人目标

以精神文明建设为先导落实育人目标,是贯彻高校教育方针的重要方面。本文从抓好队伍和校园文化建设为切入点,提出了拓宽育人渠道、改进育人方法和强化素质教育的建议。     

COUPLING OF NONPARAMETRIC FREQUENCY AND L-MOMENT ANALYSES FOR MIXED DISTRIBUTION IDENTIFICATION 1

ABSTRACT: Both L-moment and nonparametric frequency analyses were performed on a series of annual maximum floods from New Brunswick, Canada. The L-moment analysis concluded that the data were generated from a unimodal Generalized Extreme Value (GEV) distribution. However, the nonparametric frequency analysis indicated that a majority of stations followed nonunimodal mixed distributions since peak flows occur during different seasons and are the result of different generating mechanisms. The coupling of L-moment and nonparametric analyses facilitates mixed distribution identification. Thus, the nonparametric method helps in identifying underlying probability distribution, especially when samples arise from mixed distributions.