一种用于沉积相分析的新型模式识别方法

本文介绍一种用于沉识相分析的新型智能模式识别方法──神经网络模式识别方法。该方法利用关键井研究建立的测井相与地质相的对应关系作为识别模式，通过向识别模式学习获得模式识别智能知识，从而利用这些智能知识识别未知井、未知点的微相类型。本文方法成功地应用于中原油田文留地区沙四段沉积微相的识别与划分。     

地下水动态预测的探讨

简要介绍地下水数学模型的原理和应用实例,着重介绍在河北省大清河地下水系统的大沙河-磁河冲洪积扇孔隙地下水区,尝试建立地下水埋深变幅预测的统计相关方法和神经网络模型取得的良好效果;同时对地下水预测中的降水补给、边界和初始条件等的处理进行讨论,对数学模型和统计相关模型优缺点进行比较。     

不稳定边界层下地形重力内波

水槽实验及线性理论研究表明,当低层大气处于近中性或不稳定时,如果地形引起的动力扰动足够强,地形扰动可在上部稳定层结中激发出重力内波,波动反过来影响低层流场,引起动量输送。低层大气处于近中性或不稳定时,地形波同样对大气运动可产生波阻,这应引起模式工作者的重视。最后讨论了大气粘性对中性或不稳定层结下地形波的影响。     

非均一地形近地层风速廓线特点及粗糙度的研究

在中性大气层结条件下,利用35 m铁塔上五层不同高度处的有效风速,分析得到了非均一地形近地面层风速廓线特点及由粗糙元所决定的粗糙度。结果表明:(1)近地面层风速廓线一般符合对数风速廓线模式,其相关系数均大于0.985,标准偏差为0.04左右;(2)粗糙度的值为1.25 m。但由于外界流体运动状态改变可引起粗糙度出现起伏,其变化范围较大,一般在0.038～4.903 m,与风速之间的相关系数为-0.953。     

基于遗传算法的神经网络短期气候预测模型

用遗传算法优化神经网络的连接权和网络结构,并在遗传进化过程中采取保留最佳个体的方法,进行短期气候预测建模研究。该方法克服了由于神经网络初始权值的随机性和网络结构确定过程中所带来的网络振荡,以及网络极易陷入局部解问题。作为应用实例,以广西全区4月份平均降水作为预报量及前期500hPa月平均高度场,海温场高相关区作为预报因子,建立基于遗传算法的神经网络短期气候预测模型。将这种方法与传统的逐步回归方法作对比分析,结果表明,该方法具有预报精度高,稳定性好的特点。     

牙鲆孵化酶的分离纯化及其部分生物化学性质研究

利用凝胶过滤柱层析和阴离子交换柱层析技术,从牙鲆（Paralichthys olivaceus）胚胎孵化液中分离纯化出了大小约为34．8ku的牙鲆孵化酶。该酶卵膜裂解的最适反应温度为35℃,最适pH为7．0;对底物酪蛋白的米氏常数Km值为1．53mmol／L。该酶对丝氨酸蛋白酶和胰蛋白酶的特异性抑制剂非常敏感,而对其他蛋白酶抑制剂不敏感,表明该酶极可能是一种丝氨酸蛋白酶类型的胰蛋白酶。此外,该酶可浓度依赖性地被EDTA所抑制,被Cu^2＋所强烈抑制,被Ca^2＋和Mg^2＋所激活,对Zn^2＋则不敏感,表明该酶很可能是一种金属蛋白酶。     

Comparison of scenario‐neutral approaches for estimation of climate change impacts on flood characteristics

Scenario‐neutral assessments of climate change impact on floods analyse the sensitivity of a catchment to a range of changes in selected meteorological variables such as temperature and precipitation. The key challenges of the approach are the choice of the meteorological variables and statistics thereof and how to generate time series representing altered climatologies of the selected variables. Different methods have been proposed to achieve this, and it remains unclear if and to which extent they result in comparable flood change projections. Here, we compare projections of annual maximum floods (AMFs) derived from three different scenario‐neutral methods for a prealpine study catchment. The methods chosen use different types of meteorological data, namely, observations, regional climate model output, and weather generator data. The different time series account for projected changes in the seasonality of temperature and precipitation, in the occurrence statistics of precipitation, and of daily precipitation extremes. Resulting change in mean AMF peak magnitudes and volumes differs in sign between the methods (range of ?6% to +7% for flood peak magnitudes and ?11% to +14% for flood volumes). Moreover, variability of projected peak magnitudes and flood volumes depends on method with one approach leading to a generally larger spread. The differences between the methods vary depending on whether peak magnitudes or flood volumes are considered and different relationships between peak magnitude and volume change result. These findings can be linked to differing flood regime changes among the three approaches. The study highlights that considering selected aspects of climate change only when performing scenario‐neutral studies may lead to differing representations of flood generating processes by the approaches and thus different quantifications of flood change. As each method comes with its own strengths and weaknesses, it is recommended to combine several scenario‐neutral approaches to obtain more robust results.     

Review of Global Ocean Intermediate Water Masses: 1.Part A, the Neutral Density Surface (the ‘McDougall Surface’) as a Study Frame for Water-Mass Analysis

1Preface Todescribeoceanicintermediatewatermasses,itis necessarytohaveawell definedstudyframeorsurfacebecauseofthefluctuationnatureofintermediatewa ters.Itiswellunderstoodthatoceanicwater mass mixingdoesnotalignwitheitheraconstantgeopoten tialdepthorapropertysurfacesuchastemperature,salinity,pressureanddensitysurfacesbutfollowsa neutraldensitysurface.Thisisbecauseawaterparcelmovesasmalldistanceisentropicallyandadiabaticallyontheneutraldensitysurfacewithoutdoingworka gainstabuoyantrestoringforc…     

中立型随机发展系统的适定性

针对中立型随机发展系统的温和解与轨道温和解,给出了其存在唯一性与渐近估计的充分条件,推广了经典的Pazy定理与一些近期文献的主要工作.     

三疣梭子蟹(Portunus trituberculatus)肝胰腺内源酶性质的初步研究

内源酶是三疣梭子蟹(Portunus trituberculatus)体内重要的酶,往往会导致梭子蟹死后肌肉组织迅速软化,严重影响了蟹肉的贮藏品质。为了探明该酶的基本特性,本试验从三疣梭子蟹肝胰腺中提取了粗酶,优化了提取方法,并对其部分酶学性质进行初步研究。结果表明:三疣梭子蟹肝胰腺内源酶最佳浸提时间段为4～12 h,酶比活显著高于0～4 h和12～14 h;以酪蛋白为水解底物,内源酶作用最适温度为65℃、最适p H范围为7.0～8.0;丝氨酸蛋白酶特异性抑制剂,包括大豆胰蛋白酶抑制剂(SBTI)和苯甲基磺酰氟(PMSF),对内源酶活力的相对抑制率分别为100%、70.46%±6.27%,显著高于其他抑制剂的相对抑制率,推测丝氨酸蛋白酶为主要内源酶;在硫酸铵分级沉淀中,分别以酪蛋白和Boc-Phe-Ser-Arg-MCA为底物,前者最适盐析浓度为0～70%,后者为30%～70%,酶比活显著高于其他盐浓度;当硫酸铵浓度为40%～60%时,盐析蛋白质含量、粗酶酶活和丝氨酸蛋白酶活均显著高于其他盐浓度。