论海洋深度空间控制权——从海洋深度空间能源开发谈起

论文在提出海洋和“新海洋”广度、深度空间概念的基础上,进一步诠释了作为新的海洋权益的控制权,及其在未来政治、经济、外交、军事等领域的重要作用。由于海洋蕴藏着巨大的可再生能源,论文从能源开发利用的视角分析了开发利用海洋深度空间的重要战略意义,并对解决我国海洋争端,开发海洋新能源及综合践行海洋深度空间权战略提出了应对策略。     

Effects of land use and cultivation time on soil organic and inorganic carbon storage in deep soils

The vertical distribution and exchange mechanisms of soil organic and inorganic carbon(SOC, SIC) play an important role in assessing carbon(C) cycling and budgets. However, the impact of land use through time for deep soil C(below 100 cm) is not well known. To investigate deep C storage under different land uses and evaluate how it changes with time, we collected soil samples to a depth of 500 cm in a soil profile in the Gutun watershed on the Chinese Loess Plateau(CLP); and determined SOC, SIC, and bulk density. The magnitude of SOC stocks in the 0–500 cm depth range fell into the following ranking: shrubland(17.2 kg m~(-2)) grassland(16.3 kg m~(-2)) forestland(15.2 kg m~(-2)) cropland(14.1 kg m~(-2)) gully land(6.4 kg m~(-2)). The ranking for SIC stocks were: grassland(104.1 kg m~(-2)) forestland(96.2 kg m~(-2)) shrubland(90.6 kg m~(-2)) cropland(82.4 kg m~(-2)) gully land(50.3 kg m~(-2)). Respective SOC and SIC stocks were at least 1.6-and 2.1-fold higher within the 100–500 cm depth range, as compared to the 0–100 cm depth range. Overall SOC and SIC stocks decreased significantly from the 5 th to the 15 th year of cultivation in croplands, and generally increased up to the 70 th year. Both SOC and SIC stocks showed a turning point at 15 years cultivation, which should be considered when evaluating soil C sequestration. Estimates of C stocks greatly depends on soil sampling depth, and understanding the influences of land use and time will improve soil productivity and conservation in regions with deep soils.     

A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes

ABSTRACT

The spatio-temporal residual network (ST-ResNet) leverages the power of deep learning (DL) for predicting the volume of citywide spatio-temporal flows. However, this model, neglects the dynamic dependency of the input flows in the temporal dimension, which affects what spatio-temporal features may be captured in the result. This study introduces a long short-term memory (LSTM) neural network into the ST-ResNet to form a hybrid integrated-DL model to predict the volumes of citywide spatio-temporal flows (called HIDLST). The new model can dynamically learn the temporal dependency among flows via the feedback connection in the LSTM to improve accurate captures of spatio-temporal features in the flows. We test the HIDLST model by predicting the volumes of citywide taxi flows in Beijing, China. We tune the hyperparameters of the HIDLST model to optimize the prediction accuracy. A comparative study shows that the proposed model consistently outperforms ST-ResNet and several other typical DL-based models on prediction accuracy. Furthermore, we discuss the distribution of prediction errors and the contributions of the different spatio-temporal patterns.     

硫铟铜矿在福建紫金山铜金矿床的发现及深部找矿意义

硫铟铜矿（CuInS2）是一种罕见的铟独立矿物,在中国未曾报道过。在研究福建紫金山铜金矿床深部矿石矿物组成时,首次发现了硫铟铜矿。硫铟铜矿通常见于中高温热液矿床,紫金山铜金矿床东南矿段铜矿体中出现了硫钨锡铜矿、硫钼锡铜矿、硫铁锡铜矿、硫砷锡铜矿、锡砷硫钒铜矿、似黄锡矿、辉钼矿等高温矿物,指示紫金山矿床深部成矿温度较高,成矿流体中In、Sn、Pb、Zn、Mo、W含量较高,具有斑岩型等中高温热液成矿系统的找矿潜力。     

郯庐断裂带中南段重磁特征与深部构造

郯庐断裂带是中国东部地球物理场的分界线。它在磁场上呈现出一条NNE向线性正磁异常带,它的重力场特征表现为规模较大的布格重力异常梯度带。在断裂带的两侧,其区域磁场、区域重力场无论是场值大小,还是异常规模以及各异常的展布形态等诸方面都具有明显的区别。地球物理特征揭示郯庐断裂带深部构造,为研究重点矿产分布规律及地震灾害预报具有重要的实际意义。     

克拉通岩石圈地幔的形成与破坏:大洋板块俯冲的贡献

克拉通是地球上最古老的大陆地块.克拉通之所以能够长期稳定存在,主要是因为它具有巨厚、刚性的岩石圈地幔.古老克拉通岩石圈地幔具有高度难熔(富Mg、贫Fe)的特点,其密度较下伏软流圈小,能够"漂浮"在软流圈之上而长期存在.古老克拉通岩石圈地幔是在地球早期壳幔分异之后形成的,其形成可能与大洋板块的俯冲作用密切相关.典型的克拉...     

土钉基坑支护的空间效应研究

利用三维弹塑性模型研究了土钉基坑支护的空间效应,着重对深基坑工程中的阴角、阳角及分段分层开挖等问题进行了计算分析。结果表明,基坑的阴角能大大降低基坑位移和土钉轴力,其影响范围大于开挖深度,直立开挖面的阴角效应比放坡开挖面时的要大;阳角处的位移及土钉轴力明显增大,其影响范围延伸至3倍基坑开挖深度;分段分层开挖支护能充分利用土钉支护的空间效应,其影响范围接近于基坑开挖深度。