远参考大地电磁测深法应用研究

随着大地电磁法应用领域的不断扩大,勘探环境的干扰背景也越来越复杂,而采用远参考方法是压制干扰、提高信噪比的一种有效方法。本文从信号检测的角度阐述了该方法的原理,并讨论了其在压制各种干扰方面所发挥的作用。     

上扬子台区下寒武统黑色岩系中的钒矿床

我国南部早寒武世黑色岩系中，蕴藏丰富的金属和非金属矿产。而位于扬子地台东南缘的钒矿床尤其令人瞩目。本文以湘西为例，剖析该类钒矿地质特征和成矿规律。矿床产于下寒武统黑色岩系底产的碳系页岩、硅岩及黑色页岩组合。矿层呈层状、似层状，产权稳定，埋藏浅，储量大。矿石主要由水云母（伊利石）和石英组成，含有机质及藻类化石。成矿受地层、岩性、古构造和古地理条件控制。矿床具有微生物成矿与海底热水沉积双重特征，成因应属生物地球化学积积矿床范畴。     

南疆西部大降水天气过程的统计分析

对南疆西部1970－1999年大降水天气过程的分析表明，大降水集中出现在夏季，中亚低涡是造成南疆西部大降水的主要影响系统。     

焉耆盆地中生界层序地层和沉积体系分析

利用层序地层学原理和方法，建立了焉耆盆地中生界层序地层格架，将其划分为4个层序，继而分析了各个层序的地层特征、层序演化及各个体系域的沉积体系展布。研究表明，焉耆盆地中生代存在南北两大物源体系，盆地总体上以河流－湖泊沼泽相的浅水沉积为主，湖泊水体深度不大且分布范围有限；层序Ⅲ的水进体系域是湖盆发育的鼎盛时期，构成了本区良好的盖层；通过层序构成分析，探讨了隐蔽圈闭发育的有利层位及区带。     

Water resources optimization and eco-environmental protection in Qaidam Basin

In order to realize sustainable development of the arid area of Northwest China, rational water resources exploitation and optimization are primary prerequisites. Based on the essential principle of sustainable development, this paper puts forward a general idea on water resources optimization and eco-environmental protection in Qaidam Basin, and identifies the competitive multiple targets of water resources optimization. By some qualitative methods such as Input-output Model & AHP Model and some quantitative methods such as System Dynamics Model & Produce Function Model, some standard plans of water resources optimization come into being. According to the Multiple Targets Decision by the Closest Value Model, the best plan of water resources optimization, eco-environmental protection and sustainable development in Qaidam Basin is finally decided.     

MT法中利用阻抗相位资料对畸变视电阻率曲线的校正

从理论上论证了在一定条件下大地电磁响应中的相位资料将不受随机电磁噪声的影响，介绍了由相位资料递推计算视电阻率的方法，通过与远参考资料的比较，证明利用阻抗相位资料可分段恢复校正畸变的实测视电阻率数据。     

柱层累托石材料对有机废水的处理及效果评价

就使用柱层累托石材料对有机废水处理的实验研究进行讨论。采用累托石材料，在用量为15kg/t时，加入用量为4kg/t的还原剂FE，废水中COD去除率达70%；如果再用累托石进行二次吸附，其COD去除率达92%；处理水COD值降为96mg/L，达到GB8978-1996一级排放标准，同时实验了累托石的再生利用效果。     

频谱特性优良的高阶标定脉冲

通过理论分析研究和计算机搜寻得到几种频谱特性优良的高价标定脉冲波形，将其与我国台网广泛使用的阶跃脉冲相比较，可大幅度提高通带短周期段的标定精度，与国外使用的平衡二阶或三阶脉冲比较，具有响主尖波形特征，既可提高通带短周期段标定精度，又不降低通带长周期段精度，此外，具有生成较容易，技术难度适中，便于推广使用等特点。     

A Coupled General Circulation Model for the Tropical Pacific Ocean and Global Atmosphere

On the basis of Zeng’s theoretical design, a coupled general circulation model (CGCM) is developed with its characteristics different from other CGCMs such as the unified vertical coordinates and subtraction of the standard stratification for both atmosphere and ocean, available energy consideration, and so on. The oceanic component is a free surface tropical Pacific Ocean GCM between 30oN and 30oS with horizontal grid spacing of 1o in latitude and 2o in longitude, and with 14 vertical layers. The atmospheric component it a global GCM with low-resolution of 4o in latitude and 5o in longitude, and two layers or equal man in the vertical between the surface and 200 hPa. The atmospheric GCM includes comprehensive physical processes. The coupled model is subjected to seasonally-varying cycle. Several coupling experiments, ranging from straight forward coupling without flux correction to one with flux correction, and to so-called predictor-corrector monthly coupling (PCMC), are conducted to show the existence and final controlling of the climate drift in the coupled system. After removing the climate drift with the PCMC scheme, the coupled model is integrated for more than twenty years. The results show reasonable simulations of the annual mean and its seasonal cycle of the atmospheric and oceanic circulation. The model also produces the coherent interannual variations of the climate system, manifesting the observed El Ni?o / Southern Oscillation (ENSO).     

CLDAS和GLDAS土壤温度数据在陕西省的适用性评估

利用陕西省2016年97站逐日5cm土壤温度观测数据,结合相关系数、平均偏差和均方根误差等统计参数,评估了中国气象局陆面数据同化系统CLDAS2.0和美国全球陆面数据同化系统不同陆面模式(Noah-GLDAS2.1,Noah-GLDAS1,CLM-GLDAS1)土壤温度数据在陕西省的适用性。结果表明:(1)CLDAS2.0在陕西省的相关系数最高,均方根误差最小,Noah-GLDAS2.1次之,Noah-GLDAS1最差。(2)从陕西省3个区域的时间演变序列的分析可以看到,CLDAS2.0和Noah-GLDAS2.1能很好模拟出土壤温度的季节变化以及日变化,Noah-GLDAS1、CLMGLDAS1对于日变化的模拟较差,且前两者偏差也明显小于后两者。(3)Noah-GLDAS2.1在陕北与关中地区土壤温度模拟能力与CLDAS2.0相差无几,但在陕南地区CLDAS2.0要好于Noah-GLDAS2.1。总体来看,CLDAS2.0对陕西省土壤温度模拟能力最好,在陕西省有着更好的适用性。