Distribution Characteristics of Cobalt-rich Ferromanganese Crust Resources on Submarine Seamounts in the Western Pacific

Based on the survey data of five submarine seamount provinces （chains） in the Western Pacific, the distribution characteristics of cobalt-rich ferromanganese crust resources have been researched in this paper by using the relative reference data and applying the theories of hotspot and seafloor spreading. The main research results obtained are as follows： The Co-rich crust thickness in the study area is gradually increasing from east to west and from south to north having a negative correlation （r = -0.59） with longitude and a positive correlation （r = 0.48） with latitude. The crust thickness varying along longitude and latitude is influenced by the hotspot and seafloor spreading. The oceanic crusts and seamounts in the northwest part of the study area are older, and the crust resources are superior to those in the southeast part. In the depth of 〈1500 m, 1500-2000 m, 2000-2500 m in the study area, the cobalt crust thickness is respectively 5.45 cm, 4.34 cm and 3.55 cm, and in the depth of 2500-3000 m and 3000-3500 m, it drops respectively to 2.84 cm and 3.37 cm. The Co-rich crust resources are mainly concentrated in the seamount summit margins and the upper flanks in the depth of 〈2500 m. There is a strong negative correlation （r = -0.67） between the cobalt crust abundance and the slope of the seamount, 75 kg/m^2 and 50 kg/mz at the slopes of 0°-20° and 20°-34° respectively. Cobalt crusts are mainly distributed in the parts whose slopes are less than 20°. It is consistent with the fractal result that the slope threshold of cobalt crust distribution is 19°, and slopes over 20° are not conducive to the crust growth. The cobalt crusts of high grade are mainly enriched in the region within 150°E-140°W and 30°S-30°N in the Pacific, where there are about 587 seamounts at the depth of 3500- 6000 m and over 30 Ma of the oceanic crusts. The perspective area rich in cobalt crust resources is about 41×104 km^2 and the resource quantity is approximately 27 billion tons.     

Projecting impacts of climate change on surface water temperatures of a large subalpine lake: Lake Tahoe, USA

Predicted increases in atmospheric CO₂ concentration are expected to cause increases in air temperatures in many regions around the world, and this will likely lead to increases in the surface water temperatures of aquatic ecosystems in these regions. Using daily air and littoral water temperature data collected from Lake Tahoe, a large sub-alpine lake located in the Sierra Nevada mountains (USA), we developed and tested an empirical approach for constructing models designed to estimate site-specific daily surface water temperatures from daily air temperature projections generated from a regional climate model. We used cluster analysis to identify thermally distinct groups among sampled sites within the lake and then developed and independently validated a set of linked regression models designed to estimate daily water temperatures for each spatially distinct thermal group using daily air temperature data. When daily air temperatures projections, generated for 2080–2099 by a regional climate model, were used as input to these group models, projected increases in summer surface water temperatures of as much as 3 °C were projected. This study demonstrates an empirical approach for generating models capable of using daily air temperature projections from established climate models to project site specific impacts on littoral surface waters within large limnetic ecosystems.     

Differences in atmospheric heat source between the Tibetan Plateau–South Asia region and the southern Indian Ocean and their impacts on the Indian summer monsoon outbreak

In this paper, the NCEP–NCAR daily reanalysis data are used to investigate the characteristics of the atmospheric heat source/sink (AHSS) over South Asia (SA) and southern Indian Ocean (SIO). The thermal differences between these two regions and their influence on the outbreak of the Indian summer monsoon (ISM) are explored. Composite analysis and correlation analysis are applied. The results indicate that the intraseasonal variability of AHSS is significant in SA but insignificant in the SIO. Large inland areas in the Northern Hemisphere still behave as a heat sink in March, similar to the situation in winter. Significant differences are found in the distribution of AHSS between the ocean and land, with distinct land–ocean thermal contrast in April, and the pattern presents in the transitional period right before the ISM onset. In May, strong heat centers appear over the areas from the Indochina Peninsula to the Bay of Bengal and south of the Tibetan Plateau (TP), which is a typical pattern of AHSS distribution during the monsoon season. The timing of SA–SIO thermal difference turning positive is about 15 pentads in advance of the onset of the ISM. Then, after the thermal differences have turned positive, a pre-monsoon meridional circulation cell develops due to the near-surface heat center and the negative thermal contrast center, after which the meridional circulation of the ISM gradually establishes. In years of early (late) conversion of the SA–SIO thermal difference turning from negative to positive, the AHSS at all levels over the TP and SIO converts later (earlier) than normal and the establishment of the ascending and descending branches of the ISM’s meridional circulation is later (earlier) too. Meanwhile, the establishment of the South Asian high over the TP is later (earlier) than normal and the conversion of the Mascarene high from winter to summer mode occurs anomalously late (early). As a result, the onset of the ISM is later (earlier) than normal. However, the difference in vorticity between early and late conversion only shows in the changes of strong vorticity centers’ location in the upper and lower troposphere.     

高空基本影响天气系统定量化自动分析研究

为了满足数值预报产品等多种参考信息不断丰富情况下,高时空分辨率精细化预报的具体需求,针对气象业务中通用的MICAPS格点文件数据格式,在等值线分析进行高空天气系统分析的基础上,从高空天气系统的定义出发,使用矢量分析方法,建立了确定数据场内任意预报点影响系统判识、计算考察点到影响系统距离、影响系统强度、系统移动变化、急流强度等不同定量化参数的算法.使用Visual Basic语言,针对中国北方沙尘暴和南方强冷空气活动高空基本影响天气系统,进行了定量参数自动分析试验,结果表明具有较好的分析效果.这一算法具有良好的业务适用性,为建立自动预报系统、提高业务预报自动化水平提供了算法基础.     

两种模式在风电场风速预测应用中的对比

利用2011年12月至2012年11月贺兰山风电场测风塔实测资料和同期WRF、BJ-RUC模式预测结果,对2种模式在风速预测中的应用进行对比分析。结果发现,月尺度上,2种模式预测的风速月均值普遍较实测值高,且WRF较BJ-RUC更接近实测值;WRF预测的月平均风速标准差普遍较实测低,而BJ-RUC普遍比实测大;春季WRF预测效果整体上较BJ-RUC好,其它季节WRF预测的月平均风速均方根误差较BJ-RUC的小,但与实测风速的相关性较BJ-RUC与实测风速相关性差。日尺度上,凌晨至中午前后和傍晚至前半夜2个时段,2种模式预测风速普遍比实测值大,而中午至傍晚时分正相反,预测值普遍较实测小。2种模式对〉12 m·s^-1风速预测的均方根误差最小,其次是3~12 m·s^-1,〈3 m·s^-1风速预测的均方根误差最大,但BJ-RUC对3~12 m·s^-1范围风速的变化趋势把握能力较好。WRF和BJ-RUC都普遍低估了1~4 m·s^-1风速段的频次,对5~10 m·s^-1范围频次普遍明显高估,对10 m·s^-1以上风速,WRF预测频次较实测低,而BJ-RUC预测频次则较实测高。BJ-RUC对该区风向的预测能力较WRF好。     

宽码率Polar码浅海水声通信实验研究

浅海水声信道的随机时–空–频特性给数据的可靠传输带来了重大挑战,低复杂度和理论上证明能到达香农限的极化码（Polarcode）可以增强水声通信系统的鲁棒性。水下传输的图像、语音、文本、海洋监测数据和遥控指令具有不等重要性的特点,宽码率Polar码能够适应不同水声信道和不等重要性的信息传输。目前Polar码在水声通信中的实验研究多为仿真分析,设计了宽码率Polar码在厦门港海域海试验证,在不同信噪比的实录环境噪声下进行分析。海试结果表明：在良好的信道条件下,宽码率Polar码的性能优异,0.25码率的BPSK和QPSK在实录环境噪声信噪比为–1和4时实现零误码,其低复杂度信道编译码机制和宽码率与水声信道相匹配,可有效提高水声数据传输的可靠性和有效性,为基于Polar码的稳健可靠水声通信系统提供海试实验验证。     

面向长时水声通信数据采集与评估的浮标设计与实现

复杂海洋环境导致水声信道呈现随机时-空-频变特性,特别是浅海信道受界面、人为干扰的严重影响,对水声通信造成极大困难。近年来人工智能领域机器学习等技术飞速发展,为提高复杂环境下水声通信可靠性提供了新思路。但是,由于水声信道复杂多变、缺乏普适模型,从机器学习角度而言水声通信数据样本严重不足,传统单次、短时水声通信实验采集的数据无法充分表征水声信道空间、时间特性。通过长期部署水声通信及信号采集设备,可望在一定程度上丰富通信数据,为典型海域下人工智能水声通信研究提供数据支持。设计并实现了一种浅海水声通信浮标,搭载水声通信系统可实现长时浅海水声通信数据采集、性能评估,同时依托北斗系统具备远程状态显示、功能控制功能。厦门港海域实验表明,依托浮标采集的长时水声通信数据可开展水声通信性能评估、信道特性与通信性能关联度分析,为下一步工作打下了良好的基础。     

贵州威宁地区沉积型稀土含矿岩系成因与富集规律

贵州威宁地区宣威组底部稀土含矿岩系的成因类型一直有较大争议.在野外实地调查的基础上,运用矿物学、岩相古地理与地球化学等手段进行了系统性研究.结果显示,区内二叠系宣威组底部稀土含矿岩系广泛分布,连续性好,含矿段厚度为2～16 m,并伴生有铌、锆、镓等元素;稀土氧化物平均品位0.15%,最高可达1.60%.主量、微量和稀土元素分析表明威宁地区稀土含矿岩系中含有来自玄武岩及火山灰的典型矿物,稀土配分模式与玄武岩相比具有继承性,研究区化学风化作用较强、成分成熟度较高代表其经过长距离搬运,遭受了改造;峨眉山玄武岩为该稀土层提供了主要物质来源,稀土层受源岩成分的控制,经历了沉积分选及再循环作用,还遭受了来自上地壳的中酸性岩浆物质源区的混染.其成因机制可能为在晚二叠世炎热、潮湿、强风化的环境中,玄武岩经过风化剥蚀后,搬运至沉积基底低洼处的三角洲平原亚相中的洪泛平原微相环境,与火山灰一同沉积沉淀,在风化和淋滤作用下稀土等元素以离子形式被解析出来,从而被吸附性强的高岭石等黏土矿物吸附于表面,或进入矿物晶格,形成富稀土层.     

Molecular dynamics modeling of a partially saturated clay-water system at finite temperature

The mechanical and hydraulic properties of unsaturated clay under nonisothermal conditions have practical implications in geotechnical engineering applications such as geothermal energy harvest, landfill cover design, and nuclear waste disposal facilities. The water menisci among clay particles impact the mechanical and hydraulic properties of unsaturated clay. Molecular dynamics (MD) modeling has been proven to be an effective method in investigating clay structures and their hydromechanical behavior at the atomic scale. In this study, we examine the impact of temperature increase on the capillary force and capillary pressure of the partially saturated clay-water system through high-performance computing. The water meniscus formed between two parallel clay particles is studied via a full-scale MD modeling at different elevated temperatures. The numerical results have shown that the temperature increase impacts the capillary force, capillary pressure, and contact angle at the atomic scale. The capillary force on the clay particle obtained from MD simulations is also compared with the results from the macroscopic theory. The full-scale MD simulation of the partially saturated clay-water system can not only provide a fundamental understanding of the impact of temperature on the interface physics of such system at the atomic scale, but also has practical implication in formulating physics-based multiscale models for unsaturated soils by providing interface physical properties of such materials directly through high-performance computing.