基于自然资源管理的新型基础测绘研究

新一轮的职能改革赋予自然资源部门新的职责,文章在分析了现有自然资源业务数据和基础测绘数据的基础上结合自然资源管理需求,提出了新型基础测绘的相关技术要求、应用方向和地理实体数据的技术路线,为新型基础测绘的开展提供了有益探索,为基础测绘服务自然资源管理提供了理论依据。     

南海蜑螺科一新记录属和一新记录种记述 (软体动物门:腹足纲:珍珠蜑螺目)

作者在整理中国科学院海洋生物标本馆馆藏蜑螺科Neritidae标本时，鉴定出产自海南三亚的一新记录属饰纹蜑螺属Vittina Baker，1924和一新记录种：裂蜑螺Vittina pennata（von Born，1778）。文中详细描述了本种的贝壳形态特征，查明了其生活习性和地理分布特点，并与相似种进行了比较和总结。     

东海蛾螺属二新记录种(腹足纲,蛾螺科)

在整理近年来东海采集的蛾螺科Buccinidae标本时,鉴定出属于蛾螺属Buccinum Linnaeus,1758的两个中国新记录种:(1)白肋蛾螺Buccinum leucostoma Lischke,1872,采自于东海300—400m深的泥沙质海底;(2)古式蛾螺Buccinum koshikinum Okutani,1988采自于东海400m深的泥沙质海底。文中分别对这两个新记录种的形态特征、生活习性等进行了描述,并与相似种进行了分类学讨论。此外,文中还列出了中国海已报道的其他蛾螺属种类。     

Developing constitutive models from EPR‐based self‐learning finite element analysis

A constitutive model that captures the material behavior under a wide range of loading conditions is essential for simulating complex boundary value problems. In recent years, some attempts have been made to develop constitutive models for finite element analysis using self‐learning simulation (SelfSim). Self‐learning simulation is an inverse analysis technique that extracts material behavior from some boundary measurements (eg, load and displacement). In the heart of the self‐learning framework is a neural network which is used to train and develop a constitutive model that represents the material behavior. It is generally known that neural networks suffer from a number of drawbacks. This paper utilizes evolutionary polynomial regression (EPR) in the framework of SelfSim within an automation process which is coded in Matlab environment. EPR is a hybrid data mining technique that uses a combination of a genetic algorithm and the least square method to search for mathematical equations to represent the behavior of a system. Two strategies of material modeling have been considered in the SelfSim‐based finite element analysis. These include a total stress‐strain strategy applied to analysis of a truss structure using synthetic measurement data and an incremental stress‐strain strategy applied to simulation of triaxial tests using experimental data. The results show that effective and accurate constitutive models can be developed from the proposed EPR‐based self‐learning finite element method. The EPR‐based self‐learning FEM can provide accurate predictions to engineering problems. The main advantages of using EPR over neural network are highlighted.     

西部省会城市新型城镇化水平综合测度研究

新型城镇化是中国经济社会健康、稳定、可持续发展的根本途径，也是消除中国城乡社会经 济“二元结构”的根本出路。根据新型城镇化的内涵，从人口、经济发展、生活质量、基础设施、资源 环境、城乡统筹 6 个方面，构建了包含 24 项指标的新型城镇化水平综合测度指标体系，运用熵值 法，对西部 11 个省会城市 2005—2015 年的城镇化发展水平进行综合测度。研究表明：西部省会城 市的新型城镇化发展水平存在显著差异，总体上可分为“高等水平”、“中等水平”、“低等水平”3 个 级别，基础设施建设是造成差异的主要驱动力。各城市不同年间的城镇化单项水平影响因素呈现 多元化，在今后的发展中应有所侧重，同时兼顾城镇化质量，推动城乡协调发展。     

基于深度域地震成像的中沙海槽盆地东北部结构构造研究

文章基于叠前深度偏移地震成像分析, 结合前人重磁反演等地球物理资料成果, 对中沙海槽盆地东北部结构构造进行探索研究。研究表明: 中沙海槽盆地东北部发育新生代地层, 厚度在1500~2500m之间, 地层层速度为1500~ 3500m·s^-1, 不存在中生界沉积层, 盆地基底为海山或前寒武系基岩及岩浆岩隆起。中沙海槽盆地新生代陆源海相烃源岩丰富, 盆地新生界地层厚度大, 盆地凹陷、断裂发育, 具有一定的油气勘探潜力。     

Simulations of multimode bolometric interferometers

We describe a procedure for the numerical modelling of astronomical interferometers, with particular relevance to far-infrared and submillimetre wavelengths. The scheme is based on identifying a set of modes that carry power from the sky to the detector. The procedure is extremely general, and can be used to model scalar or vector fields, in any state of coherence and polarization, the only limitation being that the propagation of a coherent field through the system be described by an integral transform, a constraint that is in practise always met.
We present simulations of ideal, multimode two-dimensional interferometers, and show that the modal theory reproduces the correct behaviour of both Michelson and Fizeau interferometers. We calculate simulated visibility data for a multimode bolometric Michelson interferometer, with a synthesized source, and produce a dirty map, recovering the original source with the usual artefacts associated with interferometers.     

Wavelet Analysis of Space Solar Telescope Images

The scientific satellite SST (Space Solar Telescope) is an important research project strongly supported by the Chinese Academy of Sciences. Every day, SST acquires 50 GB of data (after processing) but only 10GB can be transmitted to the ground because of limited time of satellite passage and limited channel volume. Therefore, the data must be compressed before transmission. Wavelets analysis is a new technique developed over the last 10 years, with great potential of application. We start with a brief introduction to the essential principles of wavelet analysis, and then describe the main idea of embedded zerotree wavelet coding, used for compressing the SST images. The results show that this coding is adequate for the job.     

Correcting systematic effects in a large set of photometric light curves

We suggest a new algorithm to remove systematic effects in a large set of light curves obtained by a photometric survey. The algorithm can remove systematic effects, such as those associated with atmospheric extinction, detector efficiency, or point spread function changes over the detector. The algorithm works without any prior knowledge of the effects, as long as they linearly appear in many stars of the sample. The approach, which was originally developed to remove atmospheric extinction effects, is based on a lower rank approximation of matrices, an approach which has already been suggested and used in chemometrics, for example. The proposed algorithm is especially useful in cases where the uncertainties of the measurements are unequal. For equal uncertainties, the algorithm reduces to the Principal Component Analysis (PCA) algorithm. We present a simulation to demonstrate the effectiveness of the proposed algorithm and we point out its potential, in the search for transit candidates in particular.