δ13c-δ18O Covariance:An Effective Indicator of Hydrological Closure for Lakes?

The correlation between the Δ13c and 18O in primary carbonates is affected by several factors such as hydrological balance, total CO2 concentrations, climatic condition and lake productivity.The influence of these factors on the Δ13c-δ18 correlation may be different on different time scales. In this paper, two different-type lakes in southwestern China, Lake Erhal and Lake Chenghai, are selected to investigate the influence of climatic pattern on the Δ13c-Δ18o correlation and to evaluate the reliability of the Δ13c-Δ18o covariance as an indicator of hydrological closure. The results show that there exists good correlation between the Δ13c and Δ18o in Lake Erhai (overflowing open lake) and inLake Chenghal (closed lake). This suggests that the Δ13c-Δ18o covariance may be not an effective indicator of hydrological closure for lakes, especially on short time scales. On the one hand, a hydrologically open lake may display covariant Δ13c and δ18 as a result of climatic influence. The particular alternate warm-dry and cold-wet climatic pattern in southwestern China may be the principal cause of the Δ13c-δ18 covariance in Lake Erhai and Lake Chenghal. On the other hand, a hydrologically closed lake unnecessarily displays covariant trends between Δ13c and δ18 because of the buffering effect of high CO2 concentration on the Δ13c shift in hyper-alkaline lakes. We should be the buffering feeect of high CO2 concentration on the 13Cshift in hyper-alkaline lakes.We should be prudent when we use the covariance between 13C and 18O to judge the hydrological closure of lake.     

Simulation experiment on hydrocarbon generating potential of various source rocks on the northern margin of the Qaidam Basin,Qinghai, China

The northern margin of the Qaidam Basin is one of the main oil-gas exploration areas in western China, where source rocks are composed mostly of Middle and Lower Jurassic dark mud shale, carbargillite and coal. A large number of subsurface and outcrop samples differing in lithology with different types of organic matter were selected for resource evaluation, research and calculation. And among them, 13 samples were used for simulation experiment on hydrocarbon generating potential of various source rocks. At first, two kinds of heating modes were compared through simulation experiment, including single temperature-step heating and continual heating. Perhaps, the process of hydrocarbon generation and expulsion occurred naturally between a close system and an open system. In addition, the first heating mode was convenient, and all its reaction products were involved in the whole thermal evolution, and the final simulation experimental results were basically in consistency with the natural evolution trend Therefore, the first heating mode was adopted and the hydrocarbon yield of every sample was worked out. According to the type and lithology of organic matter and the hydrocarbon yield of samples for simulation experiment, hydrocarbon generation and expulsion mode with three kinds of lithology and five types of source rock has been established to provide the basis for hydrocarbon generation evaluation, research and resource calculation.     

胶南晚中生代大珠花岗岩岩体的脆性变形机制

在长期变化的构造应力作用下,胶南大珠山花岗岩岩体自早白垩世冷凝冷却以来发生强烈的脆性破裂变形,形成了多样的破裂类型如岩脉、节理和断层。在该岩体冷凝冷却早期侵入的细晶花岗岩脉和稍后形成的N-S向节理组反映出与同期区域构造应力场协调的N-S向挤压作用,而后伴随着揭顶剥蚀,出现了交替变化的构造应力场形成了岩体内主导的NW-NNW向和NE向节理组。整体上,恢复出的岩体内构造应力场发生顺时针方向旋转,最大水平挤压由早期的N-S向偏转为晚期的近E-W向。构造应力场的长期变化、平行节理作用和节理断层化作用造成了研究区复杂的破裂型式和破裂序列。     

基于神经网络方法的芦苇叶面积指数遥感反演

提出了一种从TM图像上获取芦苇冠层叶面积指数的方法:首先对芦苇的生长背景进行分类;然后,对不同的背景光谱利用冠层反射率(FCR)模型计算得到查找表;最后,利用实测数据和查找表中的数据作为参数进行BP神经网络模型训练,从而得到芦苇冠层LAI。结果表明,人工神经网络方法有很强的非线性拟合能力,能够消除背景对反演结果的影响,有效提高LAI反演的精度。     

大冶铁矿国家矿山公园规划实践

大冶铁矿的开发利用在为我国的钢铁事业作出巨大贡献的同时,也给矿区的地表环境、森林资源带来了很大的破坏。矿山公园的规划实施可极大地改善矿山环境,为矿山的可持续发展提供较好的途径。     

地电化学法寻找隐伏金矿的应用研究

通过对金的地电化学成晕机制的研究,利用地电化学法在东北大兴安岭森林覆盖区虎拉林金矿和澳大利亚第四纪厚层覆盖区Challenger金矿进行可行性找矿试验研究。试验结果在上述已知矿区的剖面上均测出了清晰的地电化学异常,表明利用地电化学法在上述地区寻找的隐伏金矿是有效的。在此基础上对两矿区外围及深部进行了找矿预测,发现4个有利的成矿靶区,经工程验证发现2个金矿体,取得了良好的经济和社会经济效益。     

辽宁省水资源承载能力的探讨分析

分析了辽宁省水资源的现状和开发利用程度,探讨了辽宁省水资源的承载能力。总结出辽宁省水资源严重短缺;水资源开发利用程度高;水资源供需矛盾突出;未来对水资源的需求量将不断增大,采取切实措施,实现水资源可持续利用,为辽宁的经济发展提供支撑,为东北老工业基地振兴战略的实施提供保障。     

中国西秦岭碎屑锆石U-Pb年龄及其构造意义

西秦岭是北接华北克拉通、西接祁连与柴达木、南接松潘—甘孜地块的东秦岭造山带的西延。文中研究了该区从前寒武纪到三叠纪的碎屑沉积岩。这些碎屑沉积岩中分离出的锆石由LA-ICPMS(激光剥蚀等离子体质谱)进行了U-Pb定年。全岩Nd亏损地幔模式年龄类似于扬子克拉通年龄,主要分布于1.55~1.98Ga,峰值为1.81Ga,而与华北克拉通主要为古元古代与太古宙的模式年龄形成明显的对比。泥盆系中的碎屑锆石930~730Ma的U-Pb年龄指示其与扬子克拉通具亲缘性。930~730Ma是源区地壳的强烈增长阶段。二叠系—三叠系的碎屑沉积岩主体以含老于1600Ma的碎屑锆石为特征。碎屑锆石U-Pb年龄与Sm-Nd同位素组成指示此时华北克拉通南缘的基底岩石成为二叠系—三叠系碎屑沉积岩的重要物源。扬子克拉通在三叠纪时与华北克拉通拼接。西秦岭二叠系—三叠系碎屑沉积岩含有高达50%的华北克拉通南缘的基底岩石。     

SPOT5 HRG严格物理模型转换成RPC模型的方法

SPOT5 HRG使用的越来越多,使用SPOT5 HRG进行测图,就必然需要推导SPOT5 HRG严格物理模型,通过推导SPOT5 HRG严格物理模型,我们发现该模型计算量很大,为了解决这个问题,我们使用虚拟点阵将RPC模型和严格物理模型联系起来,这样就能将SPOT5 HRG物理模型转换为RPC模型,最后用实际生产数据检验了该RPC模型的正确性