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.     

基于小波变换与神经网络的石羊河流域夏季地温预测模型研究

地温变化在气候反馈效应中起着重要作用， 理解地温及其与影响因素之间的时空关系对预测全球温度变化至关重要。利用1998 - 2017年石羊河流域的逐日常规气象观测资料， 采用小波分析结合BP（Back Propagation）神经网络构建了石羊河流域夏季地温预报模型， 结果表明： 日平均地温预测效果在不同站点均为最佳， 其中预测值和观测值的相关系数均大于0.87， 3 ℃以内的预测概率均大于84%。其中， 民勤地区地温预测效果最好， 预测值和观测值的相关系数达到0.91， 3 ℃以内的预测概率达到86%。日最高地温的预测值与观测值的相关系数高于0.8， 但误差平方和、 标准差较大。永昌地区日最高地温的模拟效果最好， 3 ℃以内的预测概率达到83%。日最低地温的预测与观测值的平均相关系数高于0.66， 3 ℃以内的预报概率高于83%， 但预测值略低。其中， 武威地区日最低地温的预测效果最好， 预测值与观测值的相关系数为0.72， 3 ℃以内的预测概率达到94%。研究成果可为有效弥补干旱、 半干旱区地温观测资料缺失和探讨其与局地气候的关系提供一些参考。     

地震应急指挥中心可视化中控系统的设计与实现

介绍地震应急指挥中心中控系统的建设情况，阐述了可视化智能中控系统的功能需求、逻辑结构和应用框架结构，分析了可视化智能中控系统的功能特点，并对中控系统的技术发展和应用进行展望。     

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...     

利用InSAR资料反演宁洱Ms6.4地震震源参数及库仑应力变化

首先利用ALOS PALSAR数据，通过D-InSAR技术获取2007-06-03云南宁洱MS6.4地震的同震形变场，然后基于Okada弹性半空间位错模型反演该地震的断层几何以及精细滑动分布，最后计算宁洱地震后周边断层的静态库仑应力变化。结果表明，形变主要集中在西盘，最大视线向形变量为51.6 cm；反演得到的震源位置为23.05°N、101.02°E，深度3 km，断层走向145°，倾向49.5°，平均滑动角153°，发震断层为NNW向普洱断裂，断层活动以右旋走滑为主，兼具逆冲分量；断层面最大滑动量为1.2 m，反演得到的震级为MW619。基于库仑应力场发现，磨黑断裂处于库仑应力增加区域，而2014年景谷地震位于负值区域。结合实地考察资料和反演结果表明，宁洱地震为浅源地震，但断层并未出露地表。     

Adsorption Mechanism and Kinetic Characterization of Bituminous Coal under High Temperatures and Pressures in the Linxing-Shenfu Area

The majority of coalbed methane(CBM) in coal reservoirs is in adsorption states in coal matrix pores. To reveal the adsorption behavior of bituminous coal under high-temperature and high-pressure conditions and to discuss the microscopic control mechanism affecting the adsorption characteristics, isothermal adsorption experiments under hightemperature and high-pressure conditions, low-temperature liquid nitrogen adsorption-desorption experiments and CO2 adsorption experiments were performed on coal samples. Results show that the adsorption capacity of coal is comprehensively controlled by the maximum vitrinite reflectance(Ro, max), as well as temperature and pressure conditions. As the vitrinite reflectance increases, the adsorption capacity of coal increases. At low pressures, the pressure has a significant effect on the positive effect of adsorption, but the effect of temperature is relatively weak. As the pressure increases, the effect of temperature on the negative effect of adsorption gradually becomes apparent, and the influence of pressure gradually decreases. Considering pore volumes of pores with diameters of 1.7-100 nm, the peak volume of pores with diameters 10-100 nm is higher than that from pores with diameters 1.7-10 nm, especially for pores with diameters of 40-60 nm, indicating that pores with diameters of 10-100 nm are the main contributors to the pore volume. The pore specific surface area shows multiple peaks, and the peak value appears for pore diameters of 2-3 nm, indicating that this pore diameter is the main contributor to the specific surface area. For pore diameters of 0.489-1.083 nm, the pore size distribution is bimodal, with peak values at 0.56-0.62 nm and 0.82-0.88 nm. The adsorption capability of the coal reservoir depends on the development degree of the supermicroporous specific surface area, because the supermicroporous pores are the main contributors to the specific pore area. Additionally, the adsorption space increases as the adsorption equilibrium pressure increases. Under the same pressure, as the maximum vitrinite reflectance increases, the adsorption space increases. In addition, the cumulative reduction in the surface free energy increases as the maximum vitrinite reflectance increases. Furthermore, as the pressure increases, the surface free energy of each pressure point gradually decreases, indicating that as the pressure increases, it is increasingly difficult to adsorb methane molecules.     

微量硫化物、硫酸盐硫同位素EA-IRMS在线测试分析

常规EA-IRMS硫同位素测试中, 硫化银(Ag2S)的需样量为0.2~1.0 mg, 硫酸钡(BaSO4)的需样量为0.35~1.5 mg, 较大的需样量已难以满足珍贵样品及微区样品的分析要求, 因此如何减少测试样品量已成为EA-IRMS测试分析工作中急需解决的问题。通过对EA-IRMS测试系统的研究发现, 在采用常规方法测试样品时, 由于初始He载气流速(100 mL/min)、进入分流接口时的流速(10 mL/min)与进入离子源时流速 (0.3 mL/min)的差异导致样品燃烧产生的目标气体中99.7%的气体被浪费, 样品的总体利用率仅有0.3%。因此如何减少样品在测试过程中的损耗, 提高样品的利用率, 从而减少需样量的关键在于缩小载气流速的差距。本实验在常规EA-IRMS测试技术基础上进行了关键改进,在元素分析仪和分流接口之间设计增加一个由六通阀和自动加热冷阱构成的装置, 自动加热冷阱可在Load模式时收集SO2气体, 六通阀在Load-Inject模式之间切换时可改变He载气流速, 通过与分流接口匹配的反吹He载气(10 mL/min)将冷阱中富集的SO2气体送入分流接口, 从而保证进入分流接口前样品燃烧产生的SO2气体全部收集。这一改进, 理论上可以将样品的利用率提高10倍, 该系统需硫量降至3~13 μg, 并且可以提高反应管的寿命, 降低清灰的频率, 提高工作效率。同时有效避免了拖尾的产生, 提高分析结果的精密度。本次微量样品实验获得的硫同位素数据与常规方法一致, 分析精度优于0.15‰(1SD), 测量值与真值的差异在0.4‰以内, 达到国际同类实验室先进水平。此外, 该方法可为微量有机碳、氮同位素EA-IRMS测试分析工作的开展提供参考经验。