Magnetic anomalies across Bastar craton and Pranhita-Godavari basin in south of central India

Aeromagnetic anomalies over Bastar craton and Pranhita-Godavari (P-G) basin in the south of central India could be attributed to NW-SE striking mafic intrusives in both the areas at variable depths. Such intrusions can be explained considering the collision of the Bastar and Dharwar cratons by the end of the Archaean and the development of tensile regimes that followed in the Paleoproterozoic, facilitating intrusions of mafic dykes into the continental crust. The P-G basin area, being a zone of crustal weakness along the contact of the Bastar and Dharwar cratons, also experienced extensional tectonics. The inferred remanent magnetization of these dykes dips upwards and it is such that the dykes are oriented towards the east of the magnetic north at the time of their formation compared to their present NW-SE strike. Assuming that there was no imprint of magnetization of a later date, it is concluded that the Indian plate was located in the southern hemisphere, either independently or as part of a supercontinent, for some span of time during Paleoproterozoic and was involved in complex path of movement and rotation subsequently. The paper presents a case study of the utility of aeromagnetic anomalies in qualitatively deducing the palaeopositions of the landmasses from the interpreted remanent magnetism of buried intrusive bodies.     

羌塘盆地羌资3井索瓦组泥岩生物标志化合物特征及其地质意义

本文对羌塘盆地羌资3井索瓦组样品开展了详细的有机地球化学特征研究,探讨了其有机母质来源及形成的沉积环境。样品中检测出丰富的正构烷烃、类异戊二烯烷烃、萜类化合物和甾类化合物。在GC图谱上,主碳数分别为n C17、n C18、n C23或n C25,OEP值为0.4~1.24,Pr/n C17值为0.68~0.99、Ph/n C18值为0.55~0.98,Pr/Ph为0.50~0.90。萜类化合物以C30藿烷占优势的五环三萜烷为主,含有三环萜烷和伽马蜡烷。甾类化合物以规则甾烷为主,C27、C28和C29规则甾烷构成了不对称的\"V\"字型,C29ααα20S/(20S+20R)和C29αββ/(ααα+αββ)的值分别为0.30~0.49、0.40~0.54。饱和烃色谱/质谱特征表明泥岩有机母质来源来源于具有水生生物的混合来源,揭示了其母质形成于一定盐度缺氧还原环境。镜质体反射率与成熟度参数均显示泥岩与沥青处于生油高峰阶段。生物标志物研究显示羌资3井沥青与泥岩在母质性质、沉积环境、成熟度等方面有相近的特征,它们具有较好的亲缘关系。     

大亚湾一次赤潮生消期间浮游植物群落变化研究

2003年8月12日至29日,广东省大亚湾的哑铃湾海域发生了小规模的赤潮,经现场跟踪监测发现是由锥状斯氏藻Scrippsiel latrochoidea和海洋卡盾藻Chattonella marina形成的混合赤潮。8月13日浮游植物群落由锥状斯氏藻占绝对优势,密度达6.52×106cells·L-1,占总细胞数量的99%以上;8月19日为赤潮高峰期,锥状斯氏藻密度最高时达5.59×107cells·L-1,约占总细胞数量的91%;而海洋卡盾藻在8月20日密度达到最大值1.17×107cells·L-1,约占总细胞数量的28%。以锥状斯氏藻、海洋卡盾藻占总细胞数量比例的不同,可将各站分为锥状斯氏藻控制区、海洋卡盾藻控制区及混合区3类,随环境条件的不断变化,这2种藻的数量随之变化,此3类区也处于变化之中。与海洋卡盾藻相比,锥状斯氏藻更适于在温度较高、盐度较低的情况下生长。还初步探讨了赤潮长时间持续的原因。     

Numerical simulations of katabatic jumps in coats land,Antartica

A non-hydrostatic numerical model, the Regional Atmospheric Modeling System (RAMS), has been used to investigate the development of katabatic jumps in Coats Land, Antarctica. In the control run with a 5 m s^-1downslope directed initial wind, a katabatic jump develops near the foot of the idealized slope. The jump is manifested as a rapid deceleration of the downslope flow and a change from supercritical to subcritical flow, in a hydraulic sense, i.e., the Froude number (Fr) of the flow changes from Fr > 1 to Fr> 1. Results from sensitivity experiments show that an increase in the upstream flow rate strengthens the jump, while an increase in the downstream inversion-layer depth results in a retreat of the jump. Hydraulic theory and Bernoulli's theorem have been used to explain the surface pressure change across the jump. It is found that hydraulic theory always underestimates the surface pressure change, while Bernoulli's theorem provides a satisfactory estimation. An analysis of the downs balance for the katabatic jump indicates that the important forces are those related to the pressure gradient, advection and, to a lesser extent, the turbulent momentum divergence. The development of katabatic jumps can be divided into two phases. In phase I, the t gradient force is nearly balanced by advection, while in phase II, the pressure gradient force is counterbalanced by turbulent momentum divergence. The upslope pressure gradient force associated with a pool of cold air over the ice shelf facilitates the formation of the katabatic jump.     

中国西北干旱内陆河流域分布式出山径流模型

In order to predict the futuristic runoff under global warming, and to approach to the effects of vegetation on the ecological environment of the inland river mountainous watershed of Northwest China, the authors use the routine hydrometric data to create a distributed monthly model with some conceptual parameters, coupled with GIS and RS tools and data. The model takes sub-basin as the minimal confluent unit, divides the main soils of the basin into 3 layers, and identifies the vegetation types as forest and pasture. The data used in the model are precipitation, air temperature, runoff, soil weight water content, soil depth, soil bulk density, soil porosity, land cover,etc. The model holds that if the water amount is greater than the water content capacity, there will be surface runoff. The actual evaporation is proportional to the product of the potential evaporation and soil volume water content. The studied basin is Heihe mainstream mountainous basin, with a drainage area of 10,009 km^2. The data used in this simulation are from Jan. 1980 to Dec. 1995, and the first 10 years‘ data are used to simulate, while the last 5 years‘ data are used to calibrate. For the simulation process, the Nash-Sutcliffe Equation, Balance Error and Explained Variance is 0.8681,5.4008 and 0.8718 respectively, while for the calibration process, 0.8799, -0.5974 and 0.8800 respectively. The model results show that the futuristic runoff of Heihe river basin will increase a little. The snowmelt, glacier meltwater and the evaportranspiration will increase. The air temperature increment will make the permanent snow and glacier area diminish, and the snowline will rise. The vegetation, especially the forest in Heihe mountainous watershed, could lead to the evapoWanspimtion decrease of the watershed, adjust the runoff orocess, and increase the soil water content.     

��Ӷ��Ѵ������ֽ�������ЧӦ

????????????????????????β??????????????1985??2006??β?????仯??????????1???????????????????????????????????????????????????????????????????????????2????????????????????????????????1?λ??????????￡??????????ε?????????????????????1?γ????????仯?????3?? ????????????????仯?????????????????仯????????????????????????????