Investigating variable stars in the open cluster NGC 1912 and its surrounding field

In this work,we studied the variable stars in the open cluster NGC 1912 based on the photometric observations and Gaia DR2 data.More than 3600 CCD frames in B,V,R filters were reduced,and we obtained the light curves that span about 63 hours.By analyzing these light curves,we detected 24 variable stars,including 16 periodic variable stars,seven eclipsing binaries and one star whose type is unclear.Among these 24 variable stars,11 are newly discovered,which are classified as sixγDoradus stars,oneδScuti star,three detached binaries and one contact binary.We also confirmed 13 previously known variable stars.Based on cluster members identified by Cantat-Gaudin et al.(2018),we inferred cluster memberships for these detected variable stars.Using Gaia DR2 data,we plotted a new color-magnitude diagram for NGC1912,and showed the nature of variable cluster members in kinematical properties and heliocentric distance.Among the 24 variable stars,seven variables are probable cluster members,which show homogeneity in kinematic characters and space position with the established cluster members.Four of the seven variable cluster members are the previously discovered stars,consisting of twoγDor stars and twoδSct stars.The remaining three variable cluster members,which are allγDor stars,are firstly detected in this work.The main physical parameters of these variable cluster members estimated from the color-magnitude diagram are log(age/yr)=8.75,[Fe/H]=-0.1,m-M=10.03 mag,and E(B-V)=0.307.     

Investigation of inner-basin variation: Impact of large reservoirs on water regimes of downstream water bodies

Large dams and reservoirs alter not only the natural flow regimes of streams and rivers but also their flooding cycles and flood magnitudes. Although the effect of dams and reservoirs has been reported for some vulnerable locations, the understanding of the inner-basin variation with respect to the effects remains limited. In this study, we analyse the Three Gorges Dam (TGD) built on the Changjiang mainstream (Yangtze River) to investigate the dam effect variations in the system of interconnected water bodies located downstream. We investigated the effect of flow alterations along the downstream river network using discharge time series at different gauging stations. The river–lake interactions (referring to the interactions between the Changjiang mainstream and its tributary lakes i.e. the Dongting and Poyang lakes) and their roles in modifying the TGD effect intensity were also investigated in the large-scale river–lake system. The results show that the water storage of the tributary lakes decreased after the activation of the TGD. Severe droughts occurred in the lakes, weakening their ability to recharge the Changjiang mainstream. As a consequence, the effect of the TGD on the Changjiang flow increase during the dry season diminished quickly downstream of the dam, whereas its impact on the flow decrease during the wet season gradually exacerbated along the mainstream, especially at sites located downstream of the lake outlets. Therefore, when assessing dam-induced hydrological changes, special attention should be paid to the changes in the storage of tributary lakes and the associated effects in the mainstream. This is of high importance for managing the water resource trade-offs between different water bodies in dam-affected riverine systems.     

基于NPSVM模型的超新星识别方法

巡天观测与高能物理、黑洞天文等领域均有密切的联系.基于星系-超新星二分类问题,研究光谱数据预处理,结合余弦相似度改善PCA(Principal Component Analysis)光谱分解特征提取方法,用SDSS(the Sloan Digital Sky Survey)、WISeREP(the Weizmann Interactive Supernova data REPository)组成的5620条光谱数据集训练支持向量机,可以得到0.498%泛化误差的识别模型和新样本分类概率.使用Neyman-Pearson决策方法建立NPSVM(Neyman-Pearson Support Vector Machine)模型可进一步降低超新星的漏判率.     

Geochemical evidence of ions’ sources and influences of meteorological factors on hydrochemistry of glacier snow meltwater in the source region of the Yangtze River

The risk management of cascade reservoir systems (CRSs) is a major public challenge, and the establishment of risk criteria is critical to solving this iss     

甘肃北山老金厂金矿床载金矿物特征、原位硫同位素组成及其对成矿的指示意义

老金厂金矿床是北山成矿南带最具代表性的中低温岩浆热液型金矿床之一，其规模为中型。依据脉体穿插、矿物共生组合和矿石结构构造等特征，将矿床矿化作用过程划分为石英-黄铁矿阶段（Ⅰ）、石英-含砷黄铁矿-毒砂阶段（Ⅱ）、石英-黄铁矿-多金属硫化物阶段（Ⅲ）和石英-方解石阶段（Ⅳ）。利用电子探针研究了不同成矿阶段载金矿物的元素组成及其分布规律。Ⅰ阶段：黄铁矿以粗粒自形立方体为主，粒度为0.50~1.50 mm，贫As、Au；毒砂含量极少，呈细粒他形。Ⅱ阶段：含砷黄铁矿周围常有大量毒砂产出，含砷黄铁矿多为立方体、五角十二面体，粒度为0.30~1.00 mm，富As、Au；该阶段矿化最为强烈，毒砂主要形成于此时期，多呈棱柱状、柱状、放射状集合体，显示富S亏As特征。Ⅲ阶段：多以黄铁矿-黄铜矿-闪锌矿共生组合脉的形式产出，黄铁矿多呈长条状，以富S、Cu、Zn、Au和贫Fe、As为特征。Ⅳ阶段：矿化作用极弱，毒砂、黄铁矿含量极少，为细粒他形。原位硫同位素组成显示：Ⅰ阶段黄铁矿δ³⁴S_V-CDT值为-3.8‰~-2.9‰，均值为-3.3‰；Ⅱ阶段黄铁矿和毒砂δ³⁴S_V-CDT值为-4.7‰~2.6‰，均值为-3.3‰；Ⅲ阶段黄铁矿和闪锌矿δ³⁴S_V-CDT值主要分布于-1.9‰~1.0‰之间，均值为0.1‰。此3个阶段硫同位素组成反映了成矿期硫主要来源于幔源岩浆，混入了部分地层硫。综合前人研究成果，认为成矿早期至晚期，成矿流体总体上由富S贫As向富As贫S演化。Ⅰ阶段体系处于中性稳定的环境，硫源充足；Ⅱ阶段为贫S富As的高氧逸度环境，由于大气降水对地层的淋滤渗透，混入富As流体，Au可能与As结合形成Au-As络合物，在成矿有利部位富集沉淀；Ⅲ阶段成矿元素种类丰富，体系为富S贫As的弱还原环境，Au很可能与HS^-、S^-形成络合物进入黄铁矿晶格。     

Early Quaternary Age of the Final Stage of Volcanism in the Central Part of the Sredinny Range of Kamchatka (K–Ar Data)

Doklady Earth Sciences - A first set of K–Ar isotopic ages obtained, which allowed to estimate the age of the largest volcanoes of the Anaunsky Dol (3.2, 2.2 and 1.9 Ma) and eruptive centers...     

绿色空间对休闲性体力活动影响的社区分异 ——以广州市为例

以广州市20个典型社区为例，构建多元线性回归模型，探讨了绿色空间对居民休闲性体力活动的影响，并剖析绿色空间对不同类型社区居民休闲性体力活动影响的作用机制。结果发现：1）不同类型社区居民的休闲性体力活动水平存在明显差异，低档社区的为782.99 MET-min/w，中档社区的为871.70 MET-min/w，高档社区的为1 227.91 MET-min/w；2）影响不同类型社区居民休闲性体力活动水平的绿色空间因素有所不同，低档社区、中档社区和高档社区的显著因子分别为“到最近公园广场距离”“邻里绿化覆盖率”和“健身活动设施数量”；3）绿色空间对休闲性体力活动水平影响的作用机制存在社区差异，低档社区居民休闲性体力活动主要受到成本作用的约束，中档社区居民主要受绿化环境作用影响，而高档社区居民主要受机会作用影响。     

以PAC为原料合成锂吸附剂的工艺研究

研究了聚合氯化铝(PAC)为原料合成锂吸附剂的基本工艺路线,并探究了加料方式、反应物配比、反应温度、反应时间和加料速度等对所合成吸附剂吸附量的影响,研究结果表明配比是影响吸附剂吸附量的最主要因素,得到了最佳合成条件,在此条件下所合成吸附剂对锂离子的吸附容量为6.1 mg/g。推断吸附剂的主要成分为晶态或非晶态的LiCl·2Al(OH)_3·nH_2O,同时含有Al(OH)_3、(CaO)_3Al_2O_3·6H_2O及LiCl·H_2O等成分。从吸附结果来看,结晶度较差的片状LiCl·2Al(OH)_3·nH_2O和非晶态的Al(OH)_3为主成分的吸附剂吸附性能最好。     

米氏凯伦藻细胞表面膜蛋白质组及其对温度变化的响应研究

米氏凯伦藻(Karenia mikimotoi)近年在我国福建、浙江和广东沿海经常形成赤潮,其赤潮不仅影响到海洋生态系统的稳定,也严重威胁到水产养殖以及人类生命健康安全。本论文以米氏凯伦藻为研究对象,建立了米氏凯伦藻细胞表面膜蛋白质荧光标记技术和细胞膜蛋白质提取方法,运用荧光差异凝胶电泳技术(2-DDIGE)对膜蛋白质进行了分析,并研究了米氏凯伦藻的膜蛋白质组及其对环境温度变动的响应。实验共鉴定到44个细胞表面膜蛋白,其中有效注释27个,主要为转运蛋白、HSP70蛋白家族和捕光蛋白等。米氏凯伦藻在20°C条件下的细胞生长和光合作用要明显好于16°C和12°C,但16°C和12°C条件下的差别不大,表明低温限制了米氏凯伦藻的生长。当米氏凯伦藻从12°C快速转移至16°C和20°C时,藻细胞密度和光合作用效率短时间迅速降低,但细胞很快即适应温度变化。细胞膜上的转运蛋白和光合作用蛋白在其适应温度变化中起着重要作用。     

长江河口潮波传播机制及阈值效应分析

河口潮波传播过程受沿程地形(如河宽辐聚、水深变化)及上游径流等诸多因素影响,时空变化复杂。径潮动力非线性相互作用研究有利于揭示河口潮波传播的动力学机制,对河口区水资源高效开发利用具有重要指导意义。本文基于2007—2009年长江河口沿程天生港、江阴、镇江、南京、马鞍山、芜湖的逐日高、低潮位数据及大通站日均流量数据,统计分析不同河段潮波衰减率与余水位坡度随流量的变化特征,结果表明潮波衰减率绝对值与余水位坡度随流量增大并不是单调递增,而是存在一个阈值流量和区域,对应潮波衰减效应的极大值。为揭示这一阈值现象,采用一维水动力解析模型对研究河段的潮波传播过程进行模拟。结果表明,潮波传播的阈值现象主要是由于洪季上游回水作用随流量加强,余水位及水深增大,导致河口辐聚程度减小,而余水位坡度为适应河口形状变化亦有所减小,从而形成相对应的阈值流量和区域。