ASM1中污水水质参数与化学计量系数的估测

简要介绍了活性污泥1号模型中14个污水水质参数与5个化学计量系数的估测方法和典型取值。     

抑制栉孔扇贝第一极体对受精卵染色体行为及胚胎倍性组成的影响

采用细胞松弛素B（CB）处理，栉孔扇贝（Chlamys ferreri）抑制其受精卵的第一极体（PB1），研究抑制PB1对受精卵减数分裂过程及胚胎倍性组成的影响。结果发现，抑制第一极体显著改变了受精卵的染色体行为，在第二次减数分裂过程中共发现4种典型染色体分离类型，分别是三极分离（41．7％）、二极分离（11．7％）、双二极分离（24．9％）和非同步分离（2．8％），其余的受精卵（19．0％）染色体分离行为紊乱。对4-8细胞期胚胎的倍性组成进行分析，发现处理组中含有二倍体（10．9％）、三倍体（12．5％）、四倍体（19.5％）、五倍体（12．6％）以及非整倍体（46．6％）胚胎。研究结果表明，二极分离和双二极分离分别是形成三倍体和四倍体的主要机制，而其他的染色体分离行为将主要形成非整倍体。     

太平洋波高熵的分布变化规律研究

使用1992年IO月到1998年12月连续共75个月、230个重复周期的Topex／Poseidon卫星高度计有效波高资料，对南、北太平洋波高熵的空间分布特征和时间变化规律进行了研究。统计分析了太平洋波高熵的多年的空间分布特征和多年各月的时间变化规律。结果表明，太平洋波高熵呈现出中间低、南北高的马鞍形空间分布特征和明显季节变化的规律，与太平洋的平均有效波高和气候分布特征和变化规律相一致。给出了南北太平洋模拟波高熵的计算公式及计算稳定性检验。     

一个基于TOPEX卫星极端海面风速预测的海洋地理信息系统

在基于 TOPEX卫星数据建立全球极端海面风速预测模型的基础上 ,开发出用于极端海面风速预测和可视化预测结果的海洋地理信息系统 (MGIS)。并论述全球极端海面风速预测的意义和 MGIS在预测过程中的重要性及必要性 ;给出全球极端海面风速预测的统计模型 ;简述极端海面风速预测海洋地理信息系统的结构、工作流程和功能 ;同时 ,对系统的预测结果进行初步分析     

溴素的有机化学──I．2，4，6－三溴苯甲酸溴代和非溴代芳酯的合成

用ｍ－氨基苯甲酸作原料，经溴代、重氮化、还原脱氨、酰氯化和酯化反应等步骤，合成了六种新型的三溴苯甲酸的溴代和非溴代芳酯，即；双（２，４，６－三溴苯甲酸）－２＇，３＇，５＇，６＇－四溴－１＇，４＇－苯二酯，２，４，６－三溴苯甲酸－２＇，３＇，４＇，５＇，６＇－五溴苯酯，２，４，６－三溴苯甲酸－２＇，４＇，６＇－三溴苯酯，２，４，６－三溴苯甲酸－４＇－溴苯酯，２，４，６－三溴苯甲酸－４＇－甲基苯酯和２，４，６－三溴苯甲酸苯酯．通过对产物中碳、氢、溴元素的定量分析以及红外吸收光谱和氢核磁共振谱的研究，验证了合成产物的结构。     

9914号(Dan)台风浪的后报试验研究

利用WAM第三代海浪模式的第四版本(WAMC4)对40a来造成福建沿海灾害最严重的9914号台风海浪过程进行了后报试验，并与近岸常规观测和卫星高度计有效波高资料进行了比较。与常规观测站的比较结果表明，WAMC4能较好地再现海浪的发展过程。后报结果与TOPEX/POSEIDON和ERS-2卫星观测资料的对比研究表明，风速的后报结果与卫星观测有较好的一致性，但海浪的后报比卫星高度计反演的有效波高整体略偏低。     

Biochemical Mechanism of the Eutrophication and Its Prevention—the Deep Treatment of Waste Water and Its Denitrification and Dephosphorization

Biochemical mechanism of forming the red tide is discussed in this paper.The existence of a large number of nitrates and phosphates in the eutrophic water is the prerequisite of explosive increase of algae and the forming of red tide.Reduction of eutrophication is an important approach to preventing the red tide.The method of deep treatment of the waste water and its denitrification and dephosphorization are introduced,and a new opinion on the red tide formation and fundamental prevention is put forward.     

藓羽藻(Bryopsis hypnoides)核酮糖-1，5-二磷酸羧化酶／加氧酶的分离与活性测定

采用硫酸铵分部沉淀与凝胶过滤的方法，进行藓羽藻Rubisco的分离研究。结果表明，分离的藓羽藻Rubisco经SDS-聚丙烯酰胺凝胶电泳检测呈两条清晰条带，分别为Rubisco大亚基与小亚基；与菠菜相比，藓羽藻Rubisco大亚基分子量与菠菜基本相同，而小亚基较之稍大一些。藓羽藻Rubisco活力测定结果表明，Rubisco分离过程中用硫酸铵分部沉淀后活力降低许多，分离后活力有所上升，但仍比粗提液活力弱；在Rubisco活力测定过程中，藓羽藻Rubisco的活化温度与其它物种Rubisco活化的温度不同，在低温下活化效果较好。这些结果说明Rubisco的酶活力受硫酸铵的影响而且藓羽藻Rubisco相对陆地高等植物结构不稳定。     

Estimating the geostrophic velocity obtained by HF radar observations in the upstream area of the Kuroshio

A method to extract geostrophic current in the daily mean HF radar data in the Kuroshio upstream region is established by comparison with geostrophic velocity determined from the along-track altimetry data. The estimated Ekman current in the HF velocity is 1.2% (1.5%) and 48° (38°)-clockwise rotated with respect to the daily mean wind in (outside) the Kuroshio. Furthermore, additional temporal smoothing is found necessary to remove residual ageostrophic currents such as the inertial oscillation. After removal of the ageostrophic components, the HF geostrophic velocity agrees well with that from the altimetry data with rms difference 0.14 (0.12) m/s in (outside) the Kuroshio.     

Difference characteristics of sea surface temperature observed by GLI and AMSR aboard ADEOS-II

This study compares infrared and microwave measurements of sea surface temperature (SST) obtained by a single satellite. The simultaneous observation from the Global Imager (GLI: infrared) and the Advanced Microwave Scanning Radiometer (AMSR: microwave) aboard the Advanced Earth Observing Satellite-II (ADEOS-II) provided an opportunity for the intercomparison. The GLI-and AMSR-derived SSTs from April to October 2003 are analyzed with other ancillary data including surface wind speed and water vapor retrieved by AMSR and SeaWinds on ADEOS-II. We found no measurable bias (defined as GLI minus AMSR), while the standard deviation of difference is less than 1°C. In low water vapor conditions, the GLI SST has a positive bias less than 0.2°C, and in high water vapor conditions, it has a negative (positive) bias during the daytime (nighttime). The low spatial resolution of AMSR is another factor underlying the geographical distribution of the differences. The cloud detection problem in the GLI algorithm also affects the difference. The large differences in high-latitude region during the nighttime might be due to the GLI cloud-detection algorithm. AMSR SST has a negative bias during the daytime with low wind speed (less than 7 ms⁻¹), which might be related to the correction for surface wind effects in the AMSR SST algorithm.