浙江方岩丹霞地貌类型及其空间组合

浙江方岩突出的丹霞地貌类型有围谷、方山、峰丛、石柱和凹槽等,它们的空间组合沿着北西-南东方向有规律的排列:西北部五峰书院一带的凹槽和岩穴发育典型,中部鸡鸣峰、桃花峰等处分布有大量的新鲜崩积石,东南部石鼓寮的石鼓、石柱尤为突出,在峰丛与平原交汇的东、南和西三侧被围谷所环绕.这种组合体现了随着构造隆升,在以外力作用为主的不断"雕塑"下,丹霞地貌的发育一般经历了差异风化、重力崩塌、流水侵蚀搬运,完成地貌循环侵蚀的过程,期间孕育了绚丽多姿的丹霞地貌,它们主要发育于早白垩世晚期的方岩组(K1f)冲积扇-扇前辫状河相岩层中.其中,岩性的差异风化规律和辫状河相沉积的特点,可以通过对三个样点的实验数据分析加以证实.方岩丹霞地貌是在我国申报世界自然遗产丹霞地貌区中"青年期"类型的突出代表,符合申报世界自然遗产中具有突出、普遍的美学和科学价值的理由.     

西藏阿里雅鲁藏布江缝合带韧性剪切带的磁组构特征

应用磁组构测量方法,厘定、划分了札达地区印度河—雅鲁藏布江缝合带内的韧性剪切带,两条强韧性带分别位于缝合带北缘和南缘,均具有南盘(下盘)俯冲、平面右旋扭动运动特征和压扁型应变特征。韧性剪切发生于65Ma以前,它们应是印—欧两大板块俯冲-碰撞剪切应变产物,是板块缝合带的重要组成部分。     

太湖表面温度与表层水温差异及其影响因素的观测分析

湖泊“皮肤效应”指表面温度与表层水温的差异,量化“皮肤效应”并分析其影响因素有助于理解湖泊物理、化学、生物和生态过程对气候变暖的响应。本文基于太湖中尺度通量网2011—2020年水温梯度、辐射四分量和小气候观测数据,定量分析了在不同时间尺度和不同天气条件下“皮肤效应”的差异及其影响因素。结果表明,太湖暖“皮肤效应”在15:00—16:00最强,可达1.95℃;冷“皮肤效应”在7:00—8:00最强,达-0.50℃。“皮肤效应”强度春季最强,夏季最弱。因此,无法用表层水温观测值直接验证卫星午后过境反演得到的太湖湖面温度,其偏差可达2℃,尤其在春季。年际尺度上,太湖表面温度上升速率为0.14℃/a,与同期气温上升速率相当,表层水温上升速率为0.12℃/a。使用遥感反演的表面温度表征的太湖升温速率会比传统的表层水温观测结果快0.02℃/a。晴天小风时暖“皮肤效应”最强,为1.64℃;阴天大风时“皮肤效应”最弱,仅为0.32℃。相较于太阳辐射,风速对太湖水温“皮肤效应”的影响更大,风的扰动是影响太湖水温“皮肤效应”的首要因素。此外,基于10年观测数据建立了适用于太湖水温“皮肤效应”的风速参数化...     

Impact of multiple tidal forcing on the simulation of the M2 internal tides in the northern South China Sea

Ocean Dynamics - Previous studies have indicated that internal tides (ITs) in the South China Sea (SCS) are dominated by the M2, K1, and O1, among which intense nonlinear interaction occurs. In...     

Seismic phase picking in China Seismic Array using a deep convolutional neuron network*

Seismic phase picking is the preliminary work of earthquake location and body-wave travel time tomography. Manual picking is considered as the most accurate way to access the arrival times but time consuming. Many automatic picking methods were proposed in the past decades, but their precisions are not as high as human experts especially for events with low ratio of signal to noise and later arrivals. As the increasing deployment of large seismic array, the existing methods can not meet the requirements of quick and accurate phase picking. In this study, we applied a phase picking algorithm developed on the base of deep convolutional neuron network (PickNet) to pick seismic phase arrivals in ChinArray-Phase III. The comparison of picking error of PickNet and the traditional method shows that PickNet is capable of picking more precise phases and can be applied in a large dense array. The raw picked travel-time data shows a large variation deviated from the traveltime curves. The absolute location residual is a key criteria for travel-time data selection. Besides, we proposed a flowchart to determine the accurate location of the single-station earthquake via dense seismic array and phase arrival picked by PickNet. This research expands the phase arrival dataset and improves the location accuracy of single-station earthquake.     

太湖流域浮游植物功能类群分布特征及其与环境因子的关系

太湖流域地处长江下游,水系发达,是典型的平原水网地区,为明确空间和环境因子对太湖流域浮游植物功能类群分布的影响,本研究于2019年8—9月期间比较太湖流域包括河流、湖泊和水库的85个采样点的浮游植物、空间和环境特征. 首次利用“人工智能图像识别技术”,并结合传统人工镜检,共鉴定浮游植物250个分类单位,隶属于9门13纲28目57科110属,以绿藻门(45.6%)、硅藻门(19.2%)和蓝藻门(16.4%)为主. 共划分功能类群31个,包括M、D、J、S1、C、Y、F、P、MP、H1、SN、W1、G、K和TB共15个优势功能类群. 结果表明：1)太湖流域不同水体功能类群组成差异显著,差异主要来自M、J、S1、Y、P、H1类群;2)浮游植物功能类群分布具有一定的空间异质性,以太湖为中心向外形成3个聚类组,物种组成类型依次为蓝藻型、蓝藻-绿藻-硅藻型、绿藻-硅藻-蓝藻型,主要贡献类群依次为M、S1类群,M、S1、P、J类群,P、S1、J、D、C类群;3)在太湖流域,相对于环境因子而言,空间因子对浮游植物功能类群组成的影响更大. RDA分析表明,COD_Mn、NO₃^--N、TN、SD、pH值和DO与太湖流域浮游植物优势功能类群呈显著相关. 过去十年,以控源截污为主导的环境管理政策已在太湖流域取得显著成效,但是对于以M、S1类群水华为特征的夏季太湖流域而言,蓝藻水华防控仍是必须面对的难题,有机污染物和氮的控制仍是关注重点,不同水体类型和浮游植物功能类群因地制宜的管控模式仍是关键.     

Detecting clusters over intercity transportation networks using K-shortest paths and hierarchical clustering: a case study of mainland China

Intercity transportation infrastructures and services determine the depth and breadth of the spatial interactions among cities within an urban agglomeration, and have profound impacts on the spatial structure of the urban agglomeration. To evaluate whether the public intercity ground transportation infrastructures and services (i.e. passenger trains and long-distance buses) can support the integration and development of urban agglomerations, we propose a method for ‘transportation cluster’ detection (TCD), which has three unique features: (1) the K-shortest paths are used to quantify the proximity between cities, which is more in line with people’s travel behaviors; (2) a dendrogram is obtained through hierarchical clustering to reveal the structural hierarchies of transportation clusters; and (3) the integration of geo-modularity and hierarchical clustering assures high strength of division of transportation networks. The proposed TCD method was applied to the network of passenger trains, the network of long-distance buses, and the combined network of both in mainland China, respectively. By comparing the resultant transportation clusters with the urban agglomerations delineated by the Chinese government, cities that have weak transportation connections with other cities within an urban agglomeration were identified, and such findings could help devise transportation planning to better support the integrated development of urban agglomerations.     

Numerical analysis on random wave-induced porous seabed response

Research on the response of random wave on offshore structures has received great deal of attention of many researchers and engineers in the design of marine structures. Most previous investigations have been limited to the regular waves. In this paper, based on Longuet–Higgins random wave theory and finite element method, a numerical model for random wave-induced seabed response is established. The seabed is treated as poroelastic medium and characterized by Biot’s partly dynamic equations (u–p model). The JONSWAP spectrum is adopted in Longuet–Higgins model, which is based on the cumulative superposition of linear diffraction solution. Based on the numerical results, the effects of random wave on seabed response are investigated by comparing with the corresponding Stokes wave and cnoidal wave. Then, a parametric study is conducted to examine the effect of wave and soil characteristic on the seabed.     

基于北斗通信的海洋多要素观测系统设计

以低功耗、多参数、安全可靠为设计目标,提出一种基于北斗卫星通信的海洋多要素观测系统设计。设计以嵌入式微控制器STM32F103RET6为核心,实现以漂流浮标为载体的海洋环境噪声测量,同时实现对海洋气温、气压、风速、风向及表层海温的多要素观测;以可充电锂电池组和太阳能电池板组合方式供电,同时进行必要的电源管理,有效提高漂流浮标的工作寿命;采用我国自主知识产权的北斗系统进行定位及双向通信,安全性高。实验表明,基于北斗通信的海洋多要素观测系统设计具有可行性,满足低功耗、多参数、安全可靠的设计要求,为以表面漂流浮标为载体的海洋多要素数据采集控制提供新的硬件设计方法。     

九江-瑞昌地震震源机制和应力场特征

利用九江-瑞昌5.7级地震后震区地震波形资料,采用Snoke发展的基于P波、SV波、SH波初动和振幅比联合计算震源机制解的方法(FOCMEC),分两个时段反演得到176个ML≥1.0地震的震源机制解。结果显示,MS5.7主震发震断层是在近EW向的区域应力场挤压作用下产生的带有逆断性质的左旋走滑断层,余震也以走滑型运动为主,NW向洋鸡山-武山-通江岭隐伏断裂为主震的发震构造。地震节面走向主要集中在NEE和NWW两个方向,与余震分布优势方向、震区构造大体一致。两个时段的震源机制解P轴优势方向均为近EW向,与主震P轴方向接近,也与江西北部地区的构造应力场分布特征相一致。应力场反演结果与震源机制参数统计结果整体一致,表现为近EW向挤压和近NS向拉张作用。