我国深海矿产研究:进展与发现(2011-2020)

深海矿产是地球上尚未被人类充分认识和利用的最大潜在战略矿产资源,近十年我国在该领域的研究取得了重要进展.在太平洋国际海底区域申请到2块多金属结核勘探区、1块富钴结壳勘探区,在西南印度洋中脊申请到1块多金属硫化物勘探区.研究阐明了我国多金属结核和富钴结壳勘探区小尺度成矿规律,揭示了其成矿作用过程及古海洋古气候记录,探讨了...     

青海省玉树地区高精度航磁调查与应用研究

青海玉树地区位于我国重要的西南"三江"成矿带,具有高海拔、切割剧烈等特点,而高精度航磁调查是一种精度高、见效快、成本低的方法技术手段.在该区运用直升机长杆硬架技术并采取随地形缓起伏的方法,获取了高质量的原始数据.在高精度航磁图上,磁异常信息十分丰富,通过详细的物性资料分析和严谨的异常解释工作,摸清了区域磁场基本特征,推...     

Dynamics of coastline changes in Mexico

Journal of Geographical Sciences - The goal of our work was to locate and quantify changes that occurred in 66% of the Mexican coastline, based on four land cover maps generated by the Mexican...     

Sea Level Prediction in the Yellow Sea From Satellite Altimetry With a Combined Least Squares-Neural Network Approach

Accessible high-quality observation datasets and proper modeling process are critically required to accurately predict sea level rise in coastal areas. This study focuses on developing and validating a combined least squares-neural network approach applicable to the short-term prediction of sea level variations in the Yellow Sea, where the periodic terms and linear trend of sea level change are fitted and extrapolated using the least squares model, while the prediction of the residual terms is performed by several different types of artificial neural networks. The input and output data used are the sea level anomalies (SLA) time series in the Yellow Sea from 1993 to 2016 derived from ERS-1/2, Topex/Poseidon, Jason-1/2, and Envisat satellite altimetry missions. Tests of different neural network architectures and learning algorithms are performed to assess their applicability for predicting the residuals of SLA time series. Different neural networks satisfactorily provide reliable results and the root mean square errors of the predictions from the proposed combined approach are less than 2?cm and correlation coefficients between the observed and predicted SLA are up to 0.87. Results prove the reliability of the combined least squares-neural network approach on the short-term prediction of sea level variability close to the coast.     

Dynamic metabolite alterations of Portunus trituberculatus during larval development

Journal of Oceanology and Limnology - A mass mortality often occurs from molting to the megalopa stage during the larval development of the swimming crab Portunus trituberculatus. Larvae with...     

某核电厂附近海域生态环境特征及潜在致灾生物研究

为了了解某核电厂周边海域的生态环境状况,筛选潜在威胁核电厂冷源安全的致灾生物,分析影响致灾生物时空分布的主要环境因素,本研究于2018年进行了4个季节的生态调查。结果表明,研究海域浮游植物密度秋季最高,春季优势种为东海原甲藻(Prorocentrumdonghaiense),其他季节优势种为中肋骨条藻(Skeletonema costatum)等硅藻。浮游动物密度夏季最高,以桡足类为主,春、夏季优势种还包括球型侧腕水母(Pleurobrachiaglobosa)和薮枝螅水母(Obeliasp.)。底栖动物的密度和生物量在秋季最高,优势种主要为豆形短眼蟹(Xenophthalmus pinnotheroides)、长吻沙蚕(Glycera chirori)和丝异须虫(Heteromastusfiliforms)。浮游植物、浮游动物和底栖动物群落均在夏季最为稳定,群落多样性水平和物种丰度较高,且分布较为均匀。浮游植物群落的细胞丰度与悬浮物和磷酸盐的浓度正相关性最高。浮游动物的密度受温度和盐度的影响较大。底栖动物的群落分布主要受悬浮物和无机营养盐的浓度影响。本研究共筛选出17种威胁该核电厂冷...     

地裂缝场地建筑结构动力响应特征及抗震设防研究

为研究地震作用下地裂缝场地建筑结构的动力响应特征,以西安地裂缝场地为研究背景,分别考虑独立基础、片筏基础、桩基础和桩筏基础上的框架结构,对结构峰值加速度、层间位移等动力响应特征及其影响因素和影响规律进行系统研究。研究结果表明：(1)地裂缝附近场地上的结构加速度响应和层间位移响应具有明显的放大效应,动力响应峰值随着距地裂缝距离的增大逐渐减小,最终趋于稳定,放大效应的影响范围约为24 m,此范围内的结构需提高抗震设防水平;(2)结构的峰值加速度随层高的增大而增大,整体呈现出“S”形,层间位移角随层高的增大先增大后减小,二者均表现出明显的“上盘效应”,即上盘结构响应强于下盘,且随着输入地震动强度的增大,上、下盘结构动力响应差异进一步扩大,上盘效应愈发显著;(3)片筏基础、桩基础和桩筏基础结构的加速度响应接近,而独立基础结构的加速度与前三者差异明显,但随着楼层的增大,基础形式对结构层间位移角的影响逐渐减弱;(4)上、下盘结构的峰值加速度、峰值位移大小及峰值出现的时间等存在一定差异,这是由于地震波经过地裂缝时发生复杂的反射和折射,结构受到非一致性激励造成的。     

A Nonlinear Representation of Model Uncertainty in a Convective-Scale Ensemble Prediction System

How to accurately address model uncertainties with consideration of the rapid nonlinear error growth characteristics in a convection-allowing system is a crucial issue for performing convection-scale ensemble forecasts. In this study, a new nonlinear model perturbation technique for convective-scale ensemble forecasts is developed to consider a nonlinear representation of model errors in the Global and Regional Assimilation and Prediction Enhanced System(GRAPES)Convection-Allowing Ensemble Predi...     

The REM Adjoint System and Its 4DVar Data Assimilation Experiments

The Regional Eta-coordinate Model(REM) has performed well in forecasting heavy rainfalls in China in recent years.A four-dimensional variational assimilation system(4DVar) is developed to improve the forecast skill of the REM.The tangent linear model and adjoint model codes are written according to thecode to coderule,and the establishment of the REM adjoint modeling system is introduced in detail in this paper.The tangent linear and adjoint models of the REM are validated against the observational data,...     

The response of vegetation at the end of the last glacial period (MIS 3 and MIS 2) in littoral areas of NW Iberia

This paper describes and discusses the palaeobotanical data obtained from organic levels of two exposed deposits on the Atlantic shore of the northwestern Iberian Peninsula. Radiocarbon dating assigns these levels to a period of marine regression at the end of MIS 3 and the beginning of the Last Glacial Maximum. The pollen record shows an initial predominance of tree taxa (mainly deciduous, including the presence of Fagus far from its current limit), followed by an episode of partial forest retraction related to the end of MIS 3 and the beginning of the Last Glacial Maximum. However, the presence of numerous tree taxa in the record, even during the cold intervals associated with Heinrich events, points to the existence of sheltered refugia for these species during this period, in keeping with the conclusions of recent reviews of the vegetation dynamics of this region for the Lateglacial and the Holocene.