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1.
本项研究得到国家“十三五”重点研发计划支持,系“深地资源勘探开采专项”2017年启动的重点项目之一,由中国地质调查局中国地质科学院矿产资源研究所牵头,来自自然资源部、中国科学院、教育部、大型石油国企等10家骨干单位以及多家协作单位参加,联合开展协同创新研究,充分体现“产研学用”密切融合。本项研究聚焦“特提斯东段中生代(三叠纪、侏罗纪)海相成钾作用与后期改造、青藏高原北部柴达木盆地深层富钾卤水迁移-分异-汇聚成矿机制”的关键科学问题和“深部含钾盐系‘双复杂’高精度地震成像技术、深部钾盐矿层(富钾卤水层)测井识别与地震预测技术”的关键技术问题,以柴达木西部和川东北两个重点成钾区为资源基地落脚点,兼顾其他含钾盆地研究,建立三维地质模型和成矿模型,完善海、陆相成钾理论,形成3 000 m以浅钾盐勘探成套技术能力,综合评价深部钾盐资源潜力,实施异常验证钻探,新发现1个大型钾盐资源基地,值得综合评价的有利成钾远景区3~4处,实现深部钾盐找矿突破和增储示范。值得强调的是,只有立足国内,突破海相,在中西部大中型叠合盆地古代海相蒸发岩地层中找到大规模海相可溶性固体钾盐矿床,方能从根本上扭转中国钾盐资源严重短缺的被动局面。令人欣慰的是,通过近10年的艰苦努力,我国海相钾盐取得了一系列成矿理论新认识和钾盐找矿新发现:创新提出了滇西南“二层楼”成钾模式,指出侏罗纪海相找钾新方向;在川东北宣汉普光地区发现三叠系海相可溶性“新型杂卤石钾盐矿”,开拓了四川盆地海相找钾新领域和新方向;在新疆库车地区发现埋深超5 000 m的钾石盐矿层,取得了库车坳陷海相找钾的实质性进展;创新提出“W型复底锅”成钾模式,在陕北奥陶纪海相盐盆发现厚层钾石盐矿化段,取得古陆表海型钾盐找矿重要新进展。至此,中国海相钾盐找矿崭露了突破的曙光。如何在这些新发现的基础上,进一步加大投入、深入研究,取得海相可溶性钾盐找矿的实质性突破,落实建成若干大型以上海相钾盐资源基地,将是“十四五”及以后时期中国钾盐的主攻方向。 相似文献
2.
热带西太平洋海域上层海洋热含量的CSEOF分析 总被引:4,自引:0,他引:4
基于月平均Argo温、盐度剖面、纬向风和Ni o3.4指数等资料,利用循环平稳经验正交函数(CSEOF)分解法、最大熵谱分析和相关分析等方法,研究了热带西太平洋海域上层(0—700m)海洋热含量的时空变化特征,并探讨了其年际变化的可能原因。结果表明,热带西太平洋海域上层海洋热含量距平场具有显著的东-西向反位相振荡,且这种振荡除了具有较明显的季节变化外,还存在着较强的准2a振荡。此外,热含量距平场还存在着负-正-负的三极式经向模态,该模态除了具有明显的季节变化外,还存在着显著的准4a振荡。进一步分析表明,热含量的准2a振荡与ENSO事件的发生有着非常密切的联系,并对赤道西太平洋纬向风异常有1—2月的滞后响应。 相似文献
3.
4.
Long-term Sensor Drift Found in Recovered Argo Profiling Floats 总被引:5,自引:0,他引:5
We recovered three Argo profiling floats after 2 to 2.5 years of operation, and recalibrated their temperature, conductivity, and pressure sensors. The results demonstrate that these floats exhibited a significant drift in salinity of −0.0074 to −0.0125, primarily due to the conductivity sensor drift. Combined with the recalibration result for another previously recovered float, the indication is that the negative salinity drift increases nearly in proportion to the operating period of floats. The increasing rate is −0.0041 (±0.0015) year−1, which yields a salinity drift of −0.016 (±0.006) for the expected float lifetime of four years. The present result suggests that reducing the float surfacing time would improve the accuracy of the salinity measurements. 相似文献
5.
After recalibration of the temperature and conductivity sensors of three Argo profiling floats recovered after operations
for four to nine months, the results indicate that the floats basically showed no significant drift, either in temperature
or salinity, and adequately fulfilled the accuracy requirement of the Argo project (0.005°C for temperature and 0.01 psu for
salinity). Only the third float showed a significant offset in salinity of about −0.02 psu, as expected from comparison between
the float data and the shipboard conductivity-temperature-depth data. This offset was caused by the operational error of the
PROVOR-type float, in which the surface water was pumped immediately after the launch, fouling the conductivity sensor cell.
This revised version was published online in July 2006 with corrections to the Cover Date. 相似文献
6.
Yosuke Fujii 《Journal of Oceanography》2005,61(1):167-181
I present the derivation of the Preconditioned Optimizing Utility for Large-dimensional analyses (POpULar), which is developed for adopting a non-diagonal background error covariance matrix in nonlinear variational analyses (i.e., analyses employing a non-quadratic cost function). POpULar is based on the idea of a linear preconditioned conjugate gradient method widely adopted in ocean data assimilation systems. POpULar uses the background error covariance matrix as a preconditioner without any decomposition of the matrix. This preconditioning accelerates the convergence. Moreover, the inverse of the matrix is not required. POpULar therefore allows us easily to handle the correlations among deviations of control variables (i.e., the variables which will be analyzed) from their background in nonlinear problems. In order to demonstrate the usefulness of POpULar, we illustrate two effects which are often neglected in studies of ocean data assimilation before. One is the effect of correlations among the deviations of control variables in an adjoint analysis. The other is the nonlinear effect of sea surface dynamic height calculation required when sea surface height observation is employed in a three-dimensional ocean analysis. As the results, these effects are not so small to neglect. 相似文献
7.
There is a need to obtain the hydrologic data including ocean current,wave,temperature and so on in the South China Sea.A new profiling instrument which does not suffer from the damage due to nature forces or incidents caused by passing ships,is under development to acquire data from this area.This device is based on a taut single point mid-water mooring system.It incorporates a small,instrumented vertically profiling float attached via an electromechanical cable to a winch integral with the main subsurface flotation.On a pre-set schedule,the instrument float with sensors is winched up to the surface if there is no ship passing by,which is defined by an on-board miniature sonar.And it can be immediately winched down to a certain depth if the sonar sensor finds something is coming.Since,because of logistics,the area can only be visited once for a long time and a minimum of 10 times per day profiles are desired,energy demands are severe.To respond to these concerns,the system has been designed to conserve a substantial portion of the potential energy lost during the ascent phase of each profile and subsequently use this energy to pull the instrument down.Compared with the previous single-point layered measuring mode,it is advanced and economica1.At last the paper introduces the test in the South China Sea. 相似文献
8.
应用Argo资料分析西北太平洋冬、夏季水团 总被引:1,自引:0,他引:1
应用Argo剖面浮标观测的温、盐度资料,分析了西北太平洋海域冬、夏季的温、盐度分布、水团结构及其分布。首先采用T-S点聚图法分析了该海域水团分布的基本情况,由点聚分析结果可知,该海域至少存在6种以上水团;再用模糊聚类软化法对水团作进一步划分,分别计算了该海域6至11类水团的F和△F值,结果表明,冬、夏季的△F值都以划分为8类时为最大,这与大洋水团的稳定性是一致的,因此,该海域冬、夏季水团以划分为8类最佳,它们分别是北太平洋热带表层水、北太平洋次表层水、北太平洋中层水、北太平洋副热带模态水、北太平洋深层水和赤道表层水,以及南太平洋次表层水和南太平洋中层水。 相似文献
9.
10.
参考数据集对Argo剖面浮标盐度观测资料校正的影响 总被引:4,自引:0,他引:4
国际Argo计划采用新颖的Argo剖面浮标来监测全球大洋中上层的变化,对浮标盐度观测资料进行质量控制是非常重要的。本文采用历史水文观测资料集得到的温-盐度(-S)关系,并利用Wong等人开发的WJO延时模式盐度校正方法,对电导率传感器出现漂移、偏移等故障的Argo剖面浮标盐度资料进行校正。对影响校正结果的历史水文资料集(或参考数据集)的选取进行了初步研究,并在不同的海区进行试验。结果表明,选取合适的参考数据集可以提高盐度校正的精度。 相似文献