Exploring the stemflow dynamics and driving factors at both inter- and intra-event scales in a typical subtropical deciduous forest

Numerous efforts have been made to understand stemflow dynamics under different types of vegetation at the inter-event scale, but few studies have explored the stemflow characteristics and corresponding influencing factors at the intra-event scale. An in-depth investigation of the inter- and intra-event dynamics of stemflow is important for understanding the ecohydrological processes in forest ecosystems. In this study, stemflow volume (F_V), stemflow funnelling ratio (F_R), and stemflow ratio (F_%) from Quercus acutissima and Broussonetia papyrifera trees were measured at both inter- and intra-event scales in a subtropical deciduous forest, and the driving factors, including tree species and meteorological factors were further explored. Specifically, the F_V, F_R and F_% of Q. acutissima (52.3 L, 47.2, 9.6%) were lower than those of B. papyrifera (85.1 L, 91.2, 12.4%). The effect of tree species on F_V and F_% was more obvious under low intensity rainfall types. At the inter-event scale, F_V had a strong positive linear correlation with rainfall amount (G_P) and event duration (D_E) for both tree species, whereas F_R and F_% had a positive logarithmic correlation with G_P and D_E only under high-intensity, short-duration rainfall type. F_R and F_% were mainly affected by wind speed and the maximum 30-min rainfall intensity under low-intensity, long-duration rainfall type. At the intra-event scale, for both tree species, the mean lag time between the start of rainfall and stemflow was the shortest under high-intensity, short-duration rainfall type, while the mean duration and amount of stemflow after rain cessation were the greatest under high-amount, long-duration rainfall type. The relationship between stemflow intensity and rainfall intensity at the 5-min interval scale also depended greatly on rainfall type. These findings can help clarify stemflow dynamics and driving factors at both inter- and intra-event scales, and also provide abundant data and parameters for ecohydrological simulations in subtropical forests.     

准噶尔盆地玛湖凹陷西斜坡三叠系百口泉组扇三角洲优质储集层预测

针对准噶尔盆地玛湖凹陷西斜坡风南地区三叠系百口泉组扇三角洲砂岩物性空间变化大、优质储集层(孔隙度大于7.4%,渗透率大于0.05×10^-3μm²)预测难的问题,在沉积岩石学、地震沉积学以及地震反演和解释理论指导下,综合利用测井、岩心和三维地震等资料开展了高精度层序地层划分、沉积微相描述和优质储集层地震反演研究。建立了风南井区四级层序地层格架,明确了扇三角洲多期水进水退的充填过程,指出SSQ3和SSQ5是优质储集层的发育层系;识别出扇三角洲平原分流河道、河道间和扇三角洲前缘水下分流水道、河口坝、席状砂等沉积微相,指出扇三角洲平原是优质储集层发育相带;通过应用高分辨层序地层纵向边界和沉积相横向边界约束,进行分层相控叠后地震波阻抗反演,提升储集层预测精度,在SSQ3和SSQ5预测5个优质储集层发育区,提出3口井的井位建议,钻探均获工业油流。     

赣南狮吼山硫铁多金属矿区花岗岩地球化学、年代学特征及其成因

狮吼山矿区是江西省内规模最大的矽卡岩型硫铁多金属矿床，伴生W、Cu、Au多种成矿元素，成矿作用与矿区出露的茶山迳复式花岗岩体有关。岩体主要包括茶山迳似斑状黑云母二长花岗岩和莲湖细粒二长花岗岩两期，为研究成矿岩体的侵位时代、岩石成因及与成矿的关系，本次工作进行了U-Pb锆石定年、岩相学和岩石地球化学等测试分析。结果表明：岩体具有高硅、高钾、富铝的特征，属高钾钙碱性系列花岗岩；轻重稀土元素分馏明显，均为右倾型，弱Eu负异常，以富集Cs、Rb、Th、U、Pb，亏损Ba、Nb、Sr、和Ti等元素为主要特征，属于低Ba-Sr壳源花岗岩类；锆石具较好晶形，具典型岩浆锆石特征，利用LA-ICP-MS进行U-Pb测年，获得谐和年龄为（162.4±0.6）Ma（MSWD=1.8），加权平均年龄为（162.4±1.4）Ma（MSWD=1.4），谐和年龄与加权平均年龄在误差范围内高度一致，表明茶山迳复式岩体侵位于燕山早期中侏罗世；综合考虑岩体矿物组合、主微量元素及高分异特征，认为其成因分类应属于S型花岗岩；对比中国花岗岩成矿元素平均含量，茶山迳两期花岗岩均具有较高的W、Mo、Bi、Pb等成矿元素含量，可同时为成矿作用提供热源、流体及物质。     

基于空间插值的浙江省城市流时空演变特征研究

为了探寻发达省份内城市间相互作用的时空特征，该文以浙江省为样本单元，选取2005、2010年和2015年3个时间截面，采用反距离权重法和空间插值手段，从城市流强度视角展开了实证分析。结果表明：（1） 城市间的联系在不断加强，期间城市流强度值随时间的推移而整体得到提升，空间上由初始的“中心点”通过发展扩散向“中心域”转变，中心城市的辐射带动作用开始发挥成效。（2）结构上呈现出相对稳定的北高南低的分布格局，以杭州市为龙头，宁波为副核心，温州、绍兴、舟山为重要节点的多中心城市网络结构雏形初步形成。（3） 城市流强度的空间分异特征分析明显，但分异程度有了些许的改善，侧面说明空间上由初始的“中心点”通过发展扩散向“中心域”转变的基本观点。最后就浙江省如何加强省内城市间“流”的规模性、区域协调性和可持续性展开了讨论。     

毛乌素沙区1961-2016年降水特征

基于毛乌素沙区10个气象站1961-2016年观测资料，应用Mann-Kendall方法和t检验法对各气象站年降水量进行了突变检验，借助小波分析讨论了各气象站年降水量的周期特征，根据降水量等值线划分结果对整个研究区分区分析了年、季、月和日尺度上的降水变化特征，并在两个时段上分析了季节性降水的差异。结果表明：毛乌素沙区年降水量空间特征差异明显，东部亚区呈上升趋势，中西部亚区呈下降趋势，但变化趋势不显著且无突变发生；降水年内分配不均，干湿季分明，降水集中在5-9月，夏秋季降水占全年降水比重大，季、月和日尺度降水量存在梯度递减变化；年降水量的年际变化过程存在多重时间尺度的自相似结构；近26年的冬春季降水增加显著，但降水波动幅度小于前30年。     

唐山地区波速比变化特征研究

选取唐山地区2008~2018年震相数据，利用单台多震和达法和多台多震和达法分别计算波速比，结合研究区内的地震活动对波速比的变化特征进行研究。结果显示，多台多震和达法得到的波速比结果较为稳定，而单台多震和达法得到的结果变化幅度大，显示更多细节；唐山地区ML≥4.5地震发生前单台波速比存在不同程度的异常，异常台站的方位与地震具有一定的对应性。     

东海盆地西湖凹陷天台区始新世平湖组风暴岩的发现及其地质意义

风暴岩对于古地理和古环境具有良好的指相意义。东海盆地西湖凹陷天台区始新世平湖组发育典型的风暴岩。通过详细的岩心观察，发育的风暴沉积标志主要有冲刷-充填构造、风暴撕扯构造和丘状-洼状交错层理构造等。根据风暴岩垂向上的组合特征及沉积构造差异，识别出了近源和远源两种风暴沉积类型，分别指示了不同的沉积背景：近源风暴岩表现为不完整的风暴岩垂向沉积序列，呈风暴砾屑层段（A）+泥岩段（E）叠加，为潮坪潮下带沉积；远源风暴岩具完整和不完整的风暴岩垂向沉积序列，以粒序段（B）+平行层理段（C）+丘状（洼状）层理段（D）叠加为特征，属浅海陆棚沉积。风暴层序自下而上沉积环境为浅海陆棚→潮坪，风暴岩的分布差异表明形成环境向上变浅的沉积特征。该发现为本区古环境的演变提供了重要依据。     

New photometric investigation of the low-mass-ratio contact binary star V1853 Orionis

Four-color charge-coupled device(CCD) light curves in the B, V, Rc and I c bands of the totaleclipsing binary system V1853 Orionis(V1853 Ori) are presented. By comparing our light curves with those published by previous investigators, it is determined that the O'Connell effect on the light curves has disappeared. By analyzing those multi-color light curves with the Wilson-Devinney code(W-D code),it is discovered that V1853 Ori is an A-type intermediate-contact binary with a degree of contact factor of f = 33.3%(3.7%) and a mass ratio of q = 0.1896(0.0013). Combining our 10 newly determined times of light minima together with others published in the literature, the period changes of the system are investigated. We found that the general trend of the observed minus calculated(O-C) curve shows a downward parabolic variation that corresponds to a long-term decrease in the orbital period with a rate of d P/dt =-1.96(0.46)×10~(-7) d yr~(-1). The long-term period decrease could be explained by mass transfer from the more-massive component to the less-massive one. By combining our photometric solutions with data from Gaia DR_2, absolute parameters were derived as M_1 = 1.20 M⊙, M_2 = 0.23 M⊙, R_1 = 1.36 R⊙and R_2 = 0.66 R⊙. The long-term period decrease and intermediate-contact configuration suggest that V1853 Ori will evolve into a high fill-out overcontact binary.     

基于条件平差的卫星双向时间传递链路性能优化方法

卫星双向时间传递(Two-Way Satellite Time and Frequency Transfer, TWSTFT)是目前精度最高的时间传递方法之一,同时也是参与国际原子时计算的守时实验室之间比较原子时尺度的一种主要方法.提高TWSTFT链路的短期稳定度,降低周日效应对链路时间传递结果的影响,对优化TAI (International Atomic Time)的性能具有现实意义.提出了一种基于条件平差的TWSTFT链路性能优化方法,先依据TWSTFT链路测量噪声水平与谱分析结果建立TWSTFT链路性能优化网络(简称优化网络),再根据优化网络中各链路测量噪声分析结果设置权系数阵,建立条件平差模型.选取亚太地区的中国计量科学研究院(National Institute of Metrology, NIM)-中国科学院国家授时中心(National Time Service Center, NTSC)卫星双向时间传递链路作为待优化链路,以NTSC、NIM以及德国联邦物理技术研究所(Physikalisch-Technische Bundesanstalt,PTB)之间的TWSTFT链路组成优化网络,对优化网络的组网方法和条件平差模型进行实验验证.结果表明,平差后待优化链路短期稳定度得到了改善,同时其受周日效应的影响降低了约24.6%.使用该方法,能够有效提高待优化链路的时间传递性能.