Fine-grained Pleistocene deepwater turbidite channel system on the slope of Qiongdongnan Basin, northern South China Sea

Recently, as oil exploitation has become focused on deepwater slope areas, more multi-channel high resolution 2D and 3D seismic data were acquired in the deepwater part of the Qiongdongnan Basin, northern South China Sea. Based on 3D seismic data and coherence time slice, RMS and 3D visualization, a series of deepwater channels were recognized on the slope that probably developed in the late Quaternary period. These channels trend SW–NE to W–E and show bifurcations, levees, meander loops and avulsions. High Amplitude Reflections (HARs), typical for channel–levee complexes, are of only minor importance and were observed in one of the channel systems. Most of the detected channels are characterized by low-amplitude reflections, and so are different from the typical coarse-grained turbidite channels that had been discovered worldwide. The absence of well data in the study area made it difficult to determine the age and lithology of these channels. Using a neighboring drill hole and published data about such depositional systems worldwide, the lithology of these channels is likely to be dominated by mudstones with interbedded thin sandstones. These channels are formed by turbidity currents originated from the little scale mountain river of mid-Vietnam in SW direction and were probably accompanied by a relative sea level drop in the last glacial age. These channels discovered on the northern South China Sea slope are likely to be fine-grained, mud-dominant and low N:G deposits in a deepwater paleogeographic setting.     

The variations in optical properties of CDOM throughout an algal bloom event

For studies in bio-optical oceanography, visible light properties by classes of dissolved organic matter should be characterized. The regional adjustment of model parameters is one approach which is being widely used to refine bio-optical models. In the present study, buoy and laboratory data were acquired, and during the 15-day observation period an algal bloom event occurred. The absorption coefficient of CDOM at 443 nm, a_g(443), changed in the range of 0.09–0.35 m⁻¹ and 0.1–0.34 m⁻¹ for two depths, 0.32 m and 2.3 m., respectively, throughout the entire period. CDOM absorption was larger for bloom conditions than for non-bloom conditions. In addition, the fraction of CDOM in total absorption was higher during the bloom event than that of non-bloom conditions. The spectral slope of CDOM absorption, S_g, regressed over 400–500 nm, ranged from 0.015 to 0.0185 nm⁻¹ with an average of 0.0166 nm⁻¹. CDOM fluorescence intensity (Fcdom) was obtained using an internal Raman standard and varied over the range of 467.44–1538.23 in relative units. Variations in Fcdom showed a similar pattern to that of CDOM absorption. A robust non-linear relationship between Fcdom and CDOM absorption was found, with a correlation coefficient of 0.893, throughout the whole observation. An attempt to describe S_g with absorption showed a promising consequence that can be described with a negative correlation during the bloom, however, without any distinguishable tendency for non-bloom time span. A two-band ratio algorithm was also carried out for retrieving CDOM absorption. The variations in optical properties of CDOM may be related to the complicated environment in the estuarine waters, which may result from different sources of CDOM.     

减阻技术对海洋油气管线中多相流动与传热的影响

在海洋环境中多相流条件下应用减阻技术,可以在相同的管线压力下,有效提高油气输送量。减阻技术影响多相流的摩擦阻力、持液率和界面现象,可使多相流的的减阻率最高达到60%以上,可减少多相流体与管壁间的传热;某些情况下,减阻技术还能够改变多相流的流型、抑制剧烈弹状流,改善油气输送系统的运行工况。     

基于小波变换的沿海滩涂LIDAR影像降噪研究

LIDAR 数据的精度受到多种因素影响,选择合适的模型优化LIDAR影像,分离LIDAR观测数据与噪声,可有效提高LIDAR数据精度.本文研究基于小波变换的LIDAR影像降噪模型,并将小渡降噪与各种常规方法进行对比分析,选择客观评价指标比较各方法的降噪效果,认为小波变换法更适合LIDAR影像降噪,能保留更多的有效信息.     

基于JSCORS的江苏省现代大地坐标框架的建设与维护

本文结合江苏省现代大地坐标框架的建设和JSCORS的运行维护,通过对江苏省原大地坐标框架的情况分析,介绍了江苏大地坐标框架的建设方案.结合区域稳定基点组的确定、框架维护和复测机制的建立、框架维护系统的建设等内容,提出江苏省大地坐标框架维护的解决方案.     

震后基于无人机快速三维定位被困人员模型研究

针对震后被倒塌建筑物或滑坡埋压的被困人员进行快速定位问题,在阅读大量相关文献的基础上,以无人机遥感、地理信息空间和三维质心定位技术为基础,采用无线信号RSSI测距模型,配合影像范围内基准影像数据辅助定位,构建震后基于无人机快速三维定位被困人员模型.以红河县城区作为研究区,对城区内特定人员进行三维定位,结果表明该模型定位...     

钝缀锦蛤(Tapes dorsatus)稚贝的温度和盐度耐受性研究

本实验在室内控制条件下,采用实验生态学方法研究了钝缀锦蛤(Tapes dorsatus)稚贝对温度和盐度的耐受性.在温度耐受性方面:(1)稚贝在低温端温度为4℃、6℃、8℃、10℃时保持90％～100％存活的时间分别为0?d、2?d、3?d、7?d;在高温端温度为33℃、34℃、35℃、36℃时保持90％～100％存活...     

Water quality assessment for Ulansuhai Lake using fuzzy clustering and pattern recognition

Water quality assessment of lakes is important to determine functional zones of water use. Considering the fuzziness during the partitioning process for lake water quality in an arid area, a multiplex model of fuzzy clustering with pattern recognition was developed by integrating transitive closure method, ISODATA algorithm in fuzzy clustering and fuzzy pattern recognition. The model was applied to partition the Ulansuhai Lake, a typical shallow lake in arid climate zone in the west part of Inner Mongolia, China and grade the condition of water quality divisions. The results showed that the partition well matched the real conditions of the lake, and the method has been proved accurate in the application.     

Retrieval Snow Depth by Artificial Neural Network Methodology from Integrated AMSR-E and In-situ Data —— A Case Study in Qinghai-Tibet Plateau

On the basis of artificial neural network （ANN） model, this paper presents an algorithm for inversing snow depth with use of AMSR-E （Advanced Microwave Scanning Radiometer-Earth Observing System （EOS）） dataset, i.e., brightness temperature at 18.7 and 36.5GHz in Qinghai-Tibet Plateau during the snow season of 2002-2003. In order to overcome the overfitting problem in ANN modeling, this methodology adopts a Bayesian regularization approach. The experiments are performed to compare the results obtained from the ANN-based algorithm with those obtained from other existing algorithms, i.e., Chang algorithm, spectral polarization difference （SPD） algorithm, and temperature gradient （TG） algorithm. The experimental results show that the presented algorithm has the highest accuracy in estimating snow depth. In addition, the effects of the noises in datasets on model fitting can be decreased due to adopting the Bayesian regularization approach.     

山东栖霞金矿的空间分布及其矿化特征

破碎蚀变岩型金矿与裂隙充填石英脉型金矿是栖霞地区主要金矿化类型,破碎蚀变岩型金矿分布于郭家岭超单元西石硼单元或玲珑超单元郭家店单元二长花岗岩体内外接触带附近;而裂隙充填石英脉型金矿主要分布于栖霞-桃村一带的古老基底构造轴部附近,且集中分布于该地区南北宽不超过20km的范围内。而大部分含金矿脉其附近往往发育有成群成带的中基性岩脉,中基性岩脉特别是煌斑岩为该区找金的一个间接标志。