Automated Separation of Stars and Normal Galaxies Based on Statistical Mixture Modeling with RBF Neural Networks

For LAMOST, the largest sky survey program in China, the solution of the problem of automatic discrimination of stars from galaxies by spectra has shown that the results of the PSF test can be significantly refined. However, the problem is made worse when the redshifts of galaxies are not available. We present a new automatic method of star/(normal) galaxy separation, which is based on Statistical Mixture Modeling with Radial Basis Function Neural Networks (SMM-RBFNN). This work is a continuation of our previous one, where active and non-active celestial objects were successfully segregated. By combining the method in this paper and the previous one, stars can now be effectively separated from galaxies and AGNs by their spectra-a major goal of LAMOST, and an indispensable step in any automatic spectrum classification system. In our work, the training set includes standard stellar spectra from Jacoby's spectrum library and simulated galaxy spectra of EO, SO, Sa, Sb types with redshift ranging from 0 to 1     

The masers of E-type methanol in orion KL and SGR B2

Using a simplified model the statistical equilibrium and radiative transfer equations of E-type-CH₃OH are solved for Orion KL and SgrB2. According to our calculation results and the observation data taken by Matsakiset al. (1980) and Morimotoet al. (1985a, b), the physical conditions of both sources are estimated. In theJ ₂-J ₁ E methanol maser region of Orion KL, the density, kinetic temperature, dust temperature, and the fractional abundance are 0.8–2×10⁶ cm^–3, 150, 30–90 K, 0.8–8×10^–6. In the 4_–1-3₀ E and 5_–1-4₀ E methanol maser region of Sgr B2 the correspondance physical conditions above are 10⁴ cm³, 45, 23 K, and 7×10^–7, respectively.     

BTOPMC模型与新安江模型在史河上游的应用比较研究

介绍了一个由TOPMODEL发展而来的基于栅格的分布式水文模型--BTOPMC模型.选取史河流域黄泥庄水文站以上集水面积为研究区域,在空间分辨率为30秒的数字高程模型数据基础上构建数字流域水系,基于IGBP全球陆面土地覆被数据以及FAO全球数字土壤数据运用BTOPMC模型和新安江模型分别对黄泥庄站1982年到1987年的日径流过程进行模拟.采用模拟与实测洪量比和确定性系数对两个模型的模拟结果进行比较分析.结果表明两个模型都能很好地模拟日径流过程,新安江模型有更好的模拟效果.     

Centrifugal test of a road embankment built after new dredger fill on thick marine clay

Abstract

The construction of a 100-km road network is planned on a land reclamation area in the Oujiang Estuary in China. The embankment had a height of 4 m and a base width of 60 m. The reclamation area is newly filled by a 3-m dredger fill on a 48-m thick layer of marine clay. Estimation of the settlement of the future road network is difficult. To guide the construction of the road network, a 1/100-scale centrifuge model test was performed with a marine clay sample from the construction site to simulate the layered settlements and evaluate the drainage effect of prefabricated vertical drains in the dredger fill in the following 10 years. The results of the centrifuge modeling test are verified by 10-month in situ monitoring, which shows agreement between the centrifuge modeling test results and the in situ results. The test results indicate that additional time is needed to reinforce the newly added dredger fill by the surcharge preloading method to uplift the elevation of the reclamation area with dredger fill.     

棉兰老涡旋的数值模拟

用一个水平分辨率比较高的非线性正压模式,对热带西太平洋海域里的海流进行了数值模拟。计算海流与观测结果颇相一致。结果表明:赤道以北、棉兰老岛以东附近海域中,棉兰老冷涡在一年的大部分时间里都得到发展,但是其范围、强度和中心位置在各个月份并不相同,显示出很强的季节变化;在哈马黑拉岛东北海域,6月份突然出现了一个反气旋式的涡旋;这个涡旋8月份发展得最强,一直持续到10月份,在11月份就消亡了。     

Integrating Uncertainty Theories with GIS for Modeling Coastal Hazards of Climate Change

Prediction of coastal hazards due to climate change is fraught with uncertainty that stems from complexity of coastal systems, estimation of sea level rise, and limitation of available data. In-depth research on coastal modeling is hampered by lack of techniques for handling uncertainty, and the available commercial geographical information systems (GIS) packages have only limited capability of handling uncertain information. Therefore, integrating uncertainty theory with GIS is of practical and theoretical significance. This article presents a GIS-based model that integrates an existing predictive model using a differential approach, random simulation, and fuzzy set theory for predicting geomorphic hazards subject to uncertainty. Coastal hazard is modeled as the combined effects of sea-level induced recession and storm erosion, using grid modeling techniques. The method is described with a case study of Fingal Bay Beach, SE Australia, for which predicted responses to an IPCC standard sea-level rise of 0.86 m and superimposed storm erosion averaged 12 m and 90 m, respectively, with analysis of uncertainty yielding maximum of 52 m and 120 m, respectively. Paradoxically, output uncertainty reduces slightly with simulated increase in random error in the digital elevation model (DEM). This trend implies that the magnitude of modeled uncertainty is not necessarily increased with the uncertainties in the input parameters. Built as a generic tool, the model can be used not only to predict different scenarios of coastal hazard under uncertainties for coastal management, but is also applicable to other fields that involve predictive modeling under uncertainty.     

用铀系定年法测定南永1井珊瑚礁年龄

运用铀系定年法首次对南水1井珊瑚礁岩心中的两个层位进行测年,结果与~(14)C测年一致,证实在晚更新世与全新世之间存在沉积间断面。     

台湾浅滩西部水域海洋动物的石油烃含量和荧光光谱特征

本文报道了台湾浅滩西部水域鱼类、虾类和软体头足类动物的总石油烃含量,分析了主3类动物样品的荧光光谱特征,并将本文数据与南海其他水域海洋动物的石油烃含量作了比较。     

海洋生物-光学算法研究──南黄海叶绿素浓度的估算

根据１９９５年９月中日合作南黄海现场观测资料，对南黄海生物－光学算法进行研究。首先对南黄海现场多光谱反射比数据进行因子分析，解反射比协方差矩阵的特征问题；解出特征值和对应的特征向量，求出主因子，然后建立叶绿素α对主因子的多元线性回归方程，并对算法进行回报和预报检验。计算结果表明，该算法具有较高精度，同时也显示出天气条件对估算精度产生较大影响。     

西沙群岛海产蓝藻的研究 Ⅴ

本文继续报道我国西沙群岛海产色球藻目 Chroococcales 的十种蓝藻,隶于三科六属，有八种是我国海产蓝藻的新记录,它们是:铜锈微囊藻 Microcystis aeruginosa Kuetzing,小形色球藻 Chroococcus minor ( Kuetzing) Naegeli,湖沼色球藻盐泽变种 C. limneticus Lemm.var. subsalsus Lemm,易变色球藻 C.varius A.Braun,膜状色球藻C. membraninus ( Meneghini) Naegeli,圆胞束球藻 Gomphasphaeria aponina Kuetzing,附钙管鞘藻 Hormathonema epilithicum Ercegovic 和透明拟丝藻 Johannesbaptistia pellucida ( Dickie) Taylor at Drouet。其中透明拟丝藻形态特征独特,这对于蓝藻类的研究,特别是研究从色球藻目进化到丝状蓝藻类的系统演化具有重要价值,早已为藻类学家们所重视。该种也是我国海产蓝藻属的新记录。 迄今为止,藻类学家们一致认为色球藻目是蓝藻门 Cyanophyta 中最原始、最低级的类群,其植物体最简单,大都是单细胞或简单的群体,而且都十分微小,常被肥厚的胶质鞘所包埋,这就使该目蓝藻能适应复杂的自然环境。所以,在地质学和古生物学的研究中它已引起许多学者的注意。有关该目海产种类的分类研究,我国仅有少数报道,这方面的工作还有待深入。