Discovery of Four New Clusters in the Cygnus Cloud     

秦松梅  李静  陈力  钟靖 《天文和天体物理学研究(英文版)》2021,(2)

We report the discovery of four new open clusters(named QC 1,QC 2,QC 3 and QC 4)in the direction of Cygnus Cloud and select their members based on five astrometric parameters(l,b,ω,μα*,μδ)of Gaia DR2.We also derive their astrophysical parameters for each new cluster.Structure parameters are generated by fitting the radial density distribution with a King’s profile.Using solar metallicity,we performed isochrone-fitting on their purified color-magnitude diagrams(CMDs)to derive the age of the clusters.The known cluster NGC 7062 in an adjacent area is chosen to verify our identification process.The estimated distance,reddening and age of NGC 7062 are in good agreement with the literature.  相似文献   

广西土壤有机质空间变异特征及其影响因素研究   总被引：2，自引：0，他引：2  

钟聪  李小洁  何园燕  邱微文  李杰  张新英  胡宝清 《地理科学》2020,40(3):478-485

基于广西第二次土壤普查的270个土壤剖面资料,结合1∶50万数字化土壤类型图、土地利用类型图和气象监测数据等资料,利用地统计学和逐步回归分析等方法对广西表层土壤有机质空间变异特征及其影响因素进行了探究。结果表明：广西表层土壤有机质平均含量为3.11±2.19%,变异系数为70.72%,空间分布呈北高南低的趋势。广西表层土壤有机质空间分布受到自然和人为因素的共同影响,土壤类型、成土母质、海拔、土地利用、气候和坡度6个环境因子对全区土壤有机质含量变异的综合解释能力为47.9%。其中,土壤类型是最重要的影响因素,能独立解释其变异的36.0%,海拔和成土母质分别能独立解释28.5%和15.8%。气温对广西土壤有机质空间分布的影响比降水量更加显著,从而造成了广西土壤有机质整体呈南低北高的趋势。同时,土壤有机质对气温的敏感性在一定程度上受到降雨量的制约。此外,研究区农业耕作管理等因素对土壤有机质的影响也不容忽视。  相似文献   

Simulating cross-sectional geometry of the main channel in response to changes in water and sediment in Lower Yellow River     

Wang  Yanjun  Wu  Baosheng  Zhong  Deyu 《地理学报(英文版)》2020,30(12):2033-2052

Journal of Geographical Sciences - To understand the non-equilibrium morphological adjustment of a river in response to environmental changes, it is essential to (i) accurately identify how past...  相似文献   

Pedestrian network generation based on crowdsourced tracking data     

Xue Yang  Chang Ren  Yang Chen  Zhong Xie  Qingquan Li 《International journal of geographical information science》2020,34(5):1051-1074

ABSTRACT

Pedestrian networks play an important role in various applications, such as pedestrian navigation services and mobility modeling. This paper presents a novel method to extract pedestrian networks from crowdsourced tracking data based on a two-layer framework. This framework includes a walking pattern classification layer and a pedestrian network generation layer. In the first layer, we propose a multi-scale fractal dimension (MFD) algorithm in order to recognize the two different types of walking patterns: walking with a clear destination (WCD) or walking without a clear destination (WOCD). In the second layer, we generate the pedestrian network by combining the pedestrian regions and pedestrian paths. The pedestrian regions are extracted based on a modified connected component analysis (CCA) algorithm from the WOCD traces. We generate the pedestrian paths using a kernel density estimation (KDE)-based point clustering algorithm from the WCD traces. The pedestrian network generation results using two actual crowdsourced datasets show that the proposed method has good performance in both geometrical correctness and topological correctness.  相似文献   

南海北部冷泉区深水珊瑚的发现及其特征     

陈忠  莫爱彬  赵美霞  仲义  颜文 《热带海洋学报》2018,37(1):64-71

冷水珊瑚也称为深水珊瑚, 在生物多样性、生态资源和科研价值等方面具有重要意义。文章对采自南海北部冷泉区的冷水珊瑚骨骼碎屑进行测定, 鉴定出冷水珊瑚2个种(Crispatotrochus sp.1和Crispatotrochus sp.2), 以及4个属[Balanophyllia (Balanophyllia)、Balanophyllia (Eupsammia)、Lochmaeotrochus和Enallopsammia]。测定的冷水珊瑚的δ¹³C为-7.36‰~-1.15‰, δ¹⁸O为-1.38‰~3.67‰, 与全球冷水珊瑚碳氧同位素组成相似, 但明显不同于南海暖水珊瑚、冷泉碳酸盐岩及低温热液成因碳酸盐岩的碳氧同位素组成。  相似文献   

青海共和盆地地热资源热源机制与聚热模式   总被引：2，自引：0，他引：2  

唐显春  王贵玲  马岩  张代磊  刘忠  赵旭  程天君 《地质学报》2020,94(7):2052-2065

青海共和盆地东侧贵德扎仓热田是探讨共和盆地地热资源成因的关键地区。本文综合区域地质、岩石热物性、同位素年代学、水文地球化学和地球物理测量等方法,重点分析了共和盆地的构造背景和热源机制,深入研究了共和盆地地热能系统的关键环节。研究发现:①识别出盆地地壳15 km以下深度发育高导体,并可与新生代青藏高原东部中-下地壳发育的层状低速高导层对比;②近NW-NS向的瓦里贡左旋走滑逆冲断裂是扎仓热田重要的控热和导热断裂;③晚中生代花岗岩与上覆围岩具有显著的热导率;④温泉氢氧同位素指示水源以地表水补给为主;⑤存在浅层新生界碎屑岩中-低温热储和深层花岗岩中-高温热储,发育四层两类地热资源。综合分析提出了共和盆地干热岩三元聚热模式:即新生代中-下地壳发育的高温低速高导层是主要热源,中晚三叠世花岗岩是良好的导热和储热体,既是干热岩母岩,也是热储,新生代低热导率沉积岩是良好的盖层。研究对于青藏高原地热成因、资源预测、开发规划等具有参考意义。  相似文献   

基于广义回归神经网络的全球表层海水1°×1°二氧化碳分压数据推演     

钟国荣  李学刚  曲宝晓  王彦俊  袁华茂  宋金明 《海洋学报》2020,42(10):70-79

表层海水二氧化碳分压是评估海洋碳源汇强度的关键参数，但其实测数据较少、时空分布极不均匀，导致二氧化碳交换通量的估算有很大的不确定性，海洋源汇特征就不能确切获取。为了解决这个难题，在收集的表层大洋二氧化碳地图(Surface Ocean CO₂ Atlas，SOCAT)实测数据集基础上，运用广义回归神经网络建立二氧化碳分压与经纬度、时间、温度、盐度和叶绿素浓度间的非线性关系，构建了1998?2018年间全球1°×1°经纬度的表层海水二氧化碳分压格点数据，其标准误差为16.93 μatm，平均相对误差为2.97%，优于现有研究中的前反馈神经网络、自组织映射神经网络和机器学习算法等方法。根据构建的数据所绘制的全球表层海水二氧化碳分压的分布与现有研究有较好的一致性。  相似文献   

新冠肺炎疫情影响下 我国水产品(海水鱼)流通情况调查研究          下载免费PDF全文

沈欣  郑园  杨正勇  闫春霞 《海洋开发与管理》2020,37(12):21-30

为调查新冠肺炎对我国水产品（海水鱼）流通环节的影响因素和市场信心预期，文章通过发放调查问卷，对水产品（海水鱼）流通环节的经营者和个体从业人员进行数据采集并做描述性统计分析。研究结果表明:鲜活状态的海水鱼受疫情影响最大；多数受访者预测消费者对水产品质量安全的信心会增强；疫情造成的订单减少和农贸市场关停是水产品流通不畅的主要原因，亟须尽快有序恢复水产批发市场，疏通“无接触”物流渠道，做好拉动生产、促进消费和保障民生等工作。  相似文献   

顾及兴趣点潜在上下文关系的城市功能区识别     

陈占龙  周路林  禹文豪  吴亮  谢忠 《测绘学报》2020,49(7):907-920

城市功能结构的探索对人们理解城市及城市规划有着重要的作用。兴趣点(point of interest,POI)数据作为城市设施的代表,被广泛应用于城市功能区提取。以往对城市功能区研究大多只考虑了POI统计信息,忽略了POI中丰富的空间分布信息,而POI空间分布特征与区域功能密切相关。本文利用空间共位模式挖掘方法挖掘POI潜在上下文关系,提取POI空间分布信息,构建区域特征向量,并进行区域聚类;再利用POI类别比例、居民的出行特征等对聚类结果进行识别。以北京市核心城市功能区为例,将研究结果与北京市百度地图、居民出行特征进行对比验证分析。试验表明,本文方法能识别出具有明显特征的城市功能区,如成熟的娱乐商业区、科教文化区、居住区等。同时,与基于POI语义信息的LDA方法及顾及POI线性空间关系的Word2Vec方法进行对比分析,证明了本文方法的优越性。  相似文献   

Hydrological regulation of chemical weathering and dissolved inorganic carbon biogeochemical processes in a monsoonal river     

Jing Liu  Jun Zhong  Hu Ding  Fu-Jun Yue  Cai Li  Sen Xu  Si-Liang Li 《水文研究》2020,34(12):2780-2792

To better understand the mechanisms relating to hydrological regulations of chemical weathering processes and dissolved inorganic carbon (DIC) behaviours, high-frequency sampling campaigns and associated analyses were conducted in the Yu River, South China. Hydrological variability modifies the biogeochemical processes of dissolved solutes, so major ions display different behaviours in response to discharge change. Most ions become diluted with increasing discharge because of the shortened reactive time between rock and water under high-flow conditions. Carbonate weathering is the main source of major ions, which shows strong chemostatic behaviour in response to changes in discharge. Ions from silicate weathering exhibit a significant dilution effect relative to the carbonate-sourced ions. Under high temperatures, the increased soil CO₂ influx from the mineralisation of organic material shifts the negative carbon isotope ratios of DIC (δ¹³C_DIC) during the high-flow season. The δ¹³C_DIC values show a higher sensitivity than DIC contents in response to various hydrological conditions. Results from a modified isotope-mixing model (IsoSource) demonstrate that biological carbon is a dominant source of DIC and plays an important role in temporal carbon dynamics. Furthermore, this study provides insights into chemical weathering processes and carbon dynamics, highlighting the significant influence of hydrological variability to aid understanding of the global carbon cycle.  相似文献