大气CO215 μm吸收带对温度依赖关系的研究

利用最新版本的大气分子吸收光谱资料HITRAN 2004,以CO215 μm吸收带为例,通过精确的逐线积分模式,详细讨论了温度对谱线半宽度、线强以及吸收系数的影响。结果发现：吸收系数对温度的依赖关系主要受线强对温度依赖关系的影响,受半宽度对温度依赖关系的影响较小;在吸收带的中心区域,温度对线强和吸收系数的影响较弱,而在带翼影响较强。     

闽南地区台湾软枝杨桃主要气象灾害分析

分析了软枝杨桃在闽南地区栽培中低温霜冻、大风、干旱、暴雨等灾害性天气的影响,并提出相应的防御措施.     

黄河中下游夏季降水时空分布及演变特征

利用黄河中下游地区44个测站1978-2005#夏季(6-8月)降水资料,采用EOF和REOF方法分析了黄河中下游夏季降水时空分布及演变特征,结果表明,黄河中下游地区夏季降水可分为全地区一致、陕西省北中部和晋陕两省交界处为中心、晋陕豫三省交界处为中心、晋陕两省北部为中心、河南省西北部为中心等多种分布型.     

Forecasting the dark energy measurement with baryon acoustic oscillations: prospects for the LAMOST surveys

The Large Area Multi-Object Fibre Spectroscopic Telescope (LAMOST) is a dedicated spectroscopic survey telescope being built in China, with an effective aperture of 4 m and equipped with 4000 fibres. Using the LAMOST telescope, one could make redshift survey of the large-scale structure (LSS). The baryon acoustic oscillation features in the LSS power spectrum provide standard rulers for measuring dark energy and other cosmological parameters. In this paper, we investigate the measurement precision achievable for a few possible surveys: (1) a magnitude-limited survey of all galaxies, (2) a survey of colour-selected luminous red galaxies (LRG) and (3) a magnitude-limited, high-density survey of   z < 2  quasars. For each survey, we use the halo model to estimate the bias of the sample, and calculate the effective volume. We then use the Fisher matrix method to forecast the error on the dark energy equation of state and other cosmological parameters for different survey parameters. In a few cases, we also use the Markov Chain Monte Carlo method to make the same forecast as a comparison. The fibre time required for each of these surveys is also estimated. These results would be useful in designing the surveys for LAMOST.     

The STAGES view of red spirals and dusty red galaxies: mass-dependent quenching of star formation in cluster infall

We investigate the properties of optically passive spirals and dusty red galaxies in the A901/2 cluster complex at redshift ∼0.17 using rest-frame near-ultraviolet–optical spectral energy distributions, 24-μm infrared data and Hubble Space Telescope morphologies from the STAGES data set. The cluster sample is based on COMBO-17 redshifts with an rms precision of  σ _cz ≈ 2000 km s⁻¹  . We find that 'dusty red galaxies' and 'optically passive spirals' in A901/2 are largely the same phenomenon, and that they form stars at a substantial rate, which is only four times lower than that in blue spirals at fixed mass. This star formation is more obscured than in blue galaxies and its optical signatures are weak. They appear predominantly in the stellar mass range of  log  M _*/M_⊙=[10, 11]  where they constitute over half of the star-forming galaxies in the cluster; they are thus a vital ingredient for understanding the overall picture of star formation quenching in clusters. We find that the mean specific star formation rate (SFR) of star-forming galaxies in the cluster is clearly lower than in the field, in contrast to the specific SFR properties of blue galaxies alone, which appear similar in cluster and field. Such a rich red spiral population is best explained if quenching is a slow process and morphological transformation is delayed even more. At  log  M _*/M_⊙ < 10  , such galaxies are rare, suggesting that their quenching is fast and accompanied by morphological change. We note that edge-on spirals play a minor role; despite being dust reddened they form only a small fraction of spirals independent of environment.     

再探青藏高原十大关键地学科学问题——《地质学报》百年华诞纪念

本文重新审视了青藏高原的关键科学问题,为解决板块构造理论的"登陆"难题提供新的线索,为理解板块汇聚边界的大陆岩石圈演化及其能源资源、地质灾害和全球环境效应提供新的思路.本文探讨了青藏高原如下十大关键地学问题:①印度大陆北漂模型;②印度-亚洲初始碰撞时限;③青藏高原的古特提斯造山作用;④古近纪喜马拉雅造山带的地壳缩短;⑤...     

1979年—2014年三峡库区月平均气温的时空变化分析

三峡区域气温变化长期以来受到科研人员和公众的关注。受三峡复杂地形的影响,仅仅基于气象站点观测数据很难准确获取区域气温变化的空间格局,遥感技术则可以通过提供空间连续的地表观测数据来辅助气温变化分析。以广义加性模型GAM (General Additive Model)为插值算法,以高程和夜间地表温度(LST_night)遥感产品为辅助变量,估算三峡库区1979年—2014年1 km空间分辨率的月气温数据,在此基础上分析了气温变化趋势的时空特征及其与高程和森林覆盖率的关系。研究表明,(1)在插值算法中引入遥感产品LST_night作为辅助变量可以明显改善气温估算精度,冬春季的改善幅度高于夏秋季;(2)三峡库区年平均气温在1997年后明显上升,但在2003年库区蓄水后无明显变化趋势,几乎所有月(除12月以外)的气温都呈现上升趋势,增温趋势最显著是3月和9月,3月增温主要来自于库区东部山区的贡献,而9月增温主要来自于库区西部平原的贡献;(3)多数月份(除7月、8月、9月以外)的低温上升速度超过高温上升速度,导致区域气温的动态变化范围缩小;(4)三峡库区年平均气温上升速度与高程呈正相关,即海拔越高,升温越快,但在同一海拔高度处,森林覆盖率越高,年均气温上升速度越慢,暗示森林具有抑制增温的作用。     

基础地理数据中心平台设计

基础地理数据中心建设是实现地理信息的交换与共享关键所在。本文提出了基础地理信息数据中心平台的总体架构,设计平台的基本功能,探讨了需解决和应用的关键技术。     

基于MODIS数据的决策树分类方法研究与应用

介绍了目前国际上流行的两种决策树算法———CART算法与C4·5算法,并引入了两种机器学习领域里的分类新技术———boosting和bagging技术,为探究这些决策树分类算法与新技术在遥感影像分类方面的潜力,以中国华北地区MODIS250m分辨率影像进行了土地覆盖决策树分类试验与分析。研究结果表明决策树在满足充分训练样本的条件下,相对于传统方法如最大似然法(MLC)能明显提高分类精度,而在样本量不足下决策树分类表现差于MLC;并发现在单一决策树生成中,分类回归树CART算法表现较C4·5算法具有分类精度和树结构优势,分类精度的提高取决于树结构的合理构建与剪枝处理;另外在决策树CART中引入boosting技术,能明显提高那些较难识别类别的分类准确率18·5%到25·6%。