Morphogenetic studies on Uronychia uncinata(Protozoa, Ciliophora) during its asexual division

ＭｏｒｐｈｏｇｅｎｅｔｉｃｓｔｕｄｉｅｓｏｎＵｒｏｎｙｃｈｉａｕｎｃｉｎａｔａ（Ｐｒｏｔｏｚｏａ，Ｃｉｌｉｏｐｈｏｒａ）ｄｕｒｉｎｇｉｔｓａｓｅｘｕａｌｄｉｖｉｓｉｏｎ￥ＳｏｎｇＷｅｉｂｏ（ＲｅｃｅｉｖｅｄＡｕｇｕｓｔ２８，１９９５；ａｃｃｅｐｔｅｄ...     

东海沉积物间隙水中硅酸盐和硫酸盐“扩散-平流-反应”模式的研究

本文提出了东海沉积物间隙水中溶解硅酸盐和硫酸盐的“扩散-平流-反应”模式。研究结果表明,由于间隙水受到硅酸盐溶解、吸附和沉淀不同体系的控制,因而间隙水中的硅酸盐具有三种不同形式的垂直分布,并从模式中得到了上述反应的反应常数,其中E柱硅溶解的一级动力学反应常数为0.00l 42a~(-1)。首次发现了东海沉积物间隙水中硅酸盐指数下降的垂直分布规律,并从数学模式上进行了处理。本文还研完了由于有机质还原sO_4~(2-)而产生的硫酸盐指数下降垂直分布,提出其模式,结果表明,SO_4~(2-)还原最大速率发生在沉积物-水界面附近,每年可达lmmo1/dm~3。     

橙色莫桑比克罗非鱼和荷那龙罗非鱼的AFLP分析

运用AFLP分子标记技术检测了橙色莫桑比克罗非鱼（Oreochromis mossambicus）和荷那龙罗非鱼（Oreochromis hornorum）的种群遗传多样性。提取2种鱼的基因组DNA，经EcoR Ⅰ和Mse Ⅰ限制性内切酶酶切并加接头，从16对选扩引物组合中选出3对扩增结果较好的引物进行PCR扩增。扩增产物经PAGE胶电泳、银染，检测其多态性。3对引物在2种罗非鱼的40个个体中共扩增出94条带，其中多态性条带76条，占总扩增条带的80．9％，2个群体的多态性条带比例分别为71．6％和52．4％。根据Nei氏（1978）统计分析得出橙色莫桑比克罗非鱼种群内遗传相似系数为0．765。荷那龙罗非鱼的为0，821，表明2个罗非鱼种群均具有较高的遗传多样性，橙色莫桑比克罗非鱼种群内遗传多样性相对更高些。2种罗非鱼的种间遗传距离为0．279，推测该杂交组合可能具有杂种优势。     

甲醛对Nessler法和次氯酸酚盐法测定养殖水体总氨氮的影响

水体中含一定浓度的甲醛 ,用 Nessler法测得的总氨氮 (TAN)浓度远远高于实际浓度 ,差异百分数最高达 4 5 0 .0 6 % ;用次氯酸酚盐法测得的总氨氮 (TAN)浓度则明显低于实际浓度 ,差异百分数最高可达 84 .77%。甲醛浓度范围为 10～ 4 0 mg/ L、TAN浓度为 1～ 10 mg/ L,通过双因素有重复观察值的交叉实验 ,得到如下矫正式 :(1)用 Nessler法测 TAN时 ,Y=4 .0 5 2 9- 0 .0 72 4 x1+ 0 .2 0 6 4x2 ,标准误差为 1.3381;(2 )用次氯酸酚盐法测 TAN时 ,Y=0 .1196 + 0 .0 345 x1+ 1.0 0 2 2 x2 ,标准误差为 0 .4 6 2 7。 Y为 TAN实际浓度 (mg/ L) ,x1为甲醛浓度 (mg/ L) ,x2 为测得的 TAN浓度(mg/ L )。比较含氨氮水体与不含氨氮水体中的甲醛浓度 ,方差分析结果表明 ,没有显著差异。     

羊栖菜茎部愈伤组织再生苗的解剖学研究

利用石蜡切片法对羊栖菜纵裂主枝上愈伤组织再生苗的发生过程进行了形态解剖学观察。发现此种成苗方式是在主枝 (茎 )或假根处由外皮层分裂形成愈伤组织 ,再由愈伤组织分化成苗的一种无性繁殖方式。愈伤组织形成再生苗有望成为羊栖菜人工养殖种苗的来源之一。     

Guadalupian （Middle Permian） Conodont Faunas at Shangsi Section, Northeast Sichuan Province

This study recovered the Guadalupian conodont faunas from Shangsi (上寺) Section in Northeast Sichuan (四川). Four genera and nine species were identified, and three conodont zones were recognized and established; they include Jinogondolella nankingensis Zone, J. aserrata Zone, and J. postserrata Zone. The Roadian and Wordian boundary is set in the interval 5 m from the top of Bed 86 by the first appearance of the conodont J. aserrata. The Wordian and Capitanian boundary is set in the interval 2.3 m from the top of the Bed 95 by the first appearance of J. postserrata. Most of the specimens demonstrated low color alteration index (CAI) as 1.5-3, indicating that most part of the Maokou (茅口) Formation may have the suitable thermal conditions for the formation of oil source rocks.     

平面约束条件在LIDAR点云滤波中的应用

介绍了一种利用平面约束条件对LIDAR点云数据进行滤波的方法,利用每个数据点的邻域点拟合平面,根据平面约束条件和平面点分类方法得到地面点,最后利用地面点内插该区域的DTM.     

青海共和盆地多石在沟河道沙丘现代风水交互过程

选择青海共和盆地多石在沟河道中6道新月形沙丘链作为研究对象,采用Trimble4700DGPS与常规测量手段,结合野外风沙观测与自动气象站数据,初步观测分析了2006年多石在沟河道沙丘在不同季节的形态变化过程,计算出2006年风季前比雨季后多石在沟河道沙丘体积减小了548.3m³,风积量为2351m³,流水的蚀平量为2899m³,2006年风水两相营力对河道沙丘的侵蚀贡献率约为45%∶55%,流水的搬运作用强于风力的堆积作用。但从较长的时间尺度来看,研究区的风力侵蚀作用强于流水侵蚀作用,河道沙丘不断增大。多石在沟河道沙丘是一个典型的风水交互作用系统,河道成为风力与流水交互作用的"中转站",在风水的交替作用下,沉积物由风积环境进入流水环境中。     

The characteristics and sources of natural gases from Ordovician weathered crust reservoirs in the Central Gas Field in the Ordos Basin

The Central Gas Field is a famous large-sized gas field in the Ordos Basin of China. However, identification of main gas sources of the Ordovician reservoirs in this gas field remains puzzling. On the basis of a lot of geochemical data and geological research on natural gases, the characteristics and sources of natural gases from Ordovician weathered crust reservoirs in the Central Gas Field in the Ordos Basin were studied. The results indicated that natural gases from Ordovician weathered crust reservoirs in the Central Gas Field in the Ordos Basin have similar chemical and isotopic compositions to highly mature and over-mature dry gases. Both coal-derived gases and oil-type gases coexist in the Central Gas Field in the Ordos Basin. The former was derived mainly from Carboniferous-Permian coal measures and the latter from Lower Paleozoic marine carbonates. It is suggested that coal-derived gases occur in the eastern part of the Central Gas Field while oil-type gases may be produced mainly in the northern, western and southern parts of the Central Gas Field in the Ordos Basin.     

GPS observations of the ionospheric F2-layer behavior during the 20th November 2003 geomagnetic storm over South Korea

The ionospheric F2-layer peak density (NmF2) and its height (hmF2) are of great influence on the shape of the ionospheric electron density profile Ne (h) and may be indicative of other physical processes within the ionosphere, especially those due to geomagnetic storms. Such parameters are often estimated using models such as the semiempirical international reference ionosphere (IRI) models or are measured using moderately priced to expensive instrumentation, such as ionosondes or incoherent scatter radars. Global positioning system (GPS) observations have become a powerful tool for mapping high-resolution ionospheric structures, which can be used to study the ionospheric response to geomagnetic storms. In this paper, we describe how 3-D ionospheric electron density profiles were produced from data of the dense permanent Korean GPS network using the tomography reconstruction technique. These profiles are verified by independent ionosonde data. The responses of GPS-derived parameters at the ionospheric F2-layer to the 20th November 2003 geomagnetic storm over South Korea are investigated. A fairly large increase in the electron density at the F2-layer peak (the NmF2) (positive storm) has been observed during this storm, which is accompanied by a significant uplift in the height of the F2 layer peak (the hmF2). This is confirmed by independent ionosonde observations. We suggest that the F2-layer peak height uplift and NmF2 increase are mainly associated with a strong eastward electric field, and are not associated with the increase of the O/N₂ ratio obtained from the GUVI instruments aboard the TIMED satellite. It is also inferred that the increase in NmF2 is not caused by the changes in neutral composition, but is related to other nonchemical effects, such as dynamical changes of vertical ion motions induced by winds and E × B drifts, tides and waves in the mesosphere/lower thermosphere region, which can be dynamically coupled upward to generate ionospheric perturbations and oscillations.