辽西紫都台-于寺盆地膨润土矿岩石矿物学特征研究     

刘殿鹤  张雪花  王春连  张华 《岩石矿物学杂志》2021,40(1):65-75

对紫都台-于寺盆地内二道河、哈尔套、北窝棚及下扎兰波罗等膨润土矿床进行了系统采样、处理,开展与矿床相关的赋矿岩系岩石学及矿物学特征研究.通过基本分析、XRD、化学全分析、阳离子交换量等手段对样品进行测试,研究结果表明沉凝灰岩、流纹质熔结凝灰岩、砂砾质凝灰岩等富含火山玻璃的岩石更易于水解形成膨润土矿.膨润土总体呈碱性,矿...  相似文献   

Time-Dependent Tsunami Source Following the 2018 Anak Krakatau Volcano Eruption Inferred from Nearby Tsunami Recordings     

ZHU Yi-fan  AN Chao  WANG Teng  LIU Hua 《中国海洋工程》2021,(1):145-152

The eruption of the Anak Krakatau volcano,Indonesia,on 22 December 2018 induced a destructive tsunami(the Sunda Strait tsunami),which was recorded by four nearby tidal gauges.In this study we invert the tsunami records and recover the tsunami generation process.Two tsunami sources are obtained,a static one of instant initial water elevation and a time-dependent one accounting for the continuous evolution of water height.The time-dependent results are found to reproduce the tsunami recordings more satisfactorily.The complete tsunami generation process lasts approximately 9 min and features a two-stage evolution with similar intensity.Each stage lasts about 3.5 min and elevates a water volume of about 0.13 km3.The time,duration and volume of the volcano eruption in general agree with seismic records and geomorphological interpretations.We also test different sizes of the potential source region,which lead to different maximum wave height in the source area,but all the results of time-dependent tsunami sources show the robust feature of two stages of wave generation.Our results imply a time-dependent and complex process of tsunami generation during the volcano eruption.  相似文献   

第二影区地震震相到时特征变化浅析     

陈凯男  刘立申  王利兵  赵志远  宋昭  罗娜  贾华 《山西地震》2021,(1):1-4

运用国家台甚宽和超宽频带地震计记录的波形数据,对震中距介于105°～128°(即第二影区)的地震波形进行仿真处理,分析各台站地震波由地幔传播到核幔交界面时,各震相记录特征发生的变化.结果表明,当震中距增大到105°左右时,地震波进入到核幔过渡带这一复杂的低速层中,地震波能量衰减加快;P波与Pdif波震相未表现出明显的分...  相似文献   

蜀南地区下三叠统飞仙关组沉积相     

董兆雄  孙健  胡华  李其荣  朱晓惠  马彦良  高培丞 《海相油气地质》2006,11(1):6-14

蜀南地区飞仙关组的沉积相类型主要有浑水陆棚相与清水陆棚相,东部两者交替发育,中西部则主要为浑水陆棚相。浑水陆棚相以半局限海亚相为主,包括三个微相;清水陆棚相可分为颗粒滩、滩间、潮坪和内缘斜坡等四个亚相,包括若干微相。飞一段全区为清水陆棚相;飞二段全区均为浑水陆棚亚相的泥质半局限海微相;飞三段,西部为浑水陆棚相,东部为清水陆棚相,其间发育灰泥质半局限海微相;飞四段基本为泥质半局限海微相。飞一时,区内中部有一近南北向的台内凹槽,沿凹槽边缘鲕粒滩较发育。研究区以西的康滇古陆和龙门山岛链与华蓥山断裂带控制着区内沉积相展布,当康滇古陆和龙门山岛链构造活跃时全区发育浑水陆棚,华蓥山断裂带活动时东部发育清水陆棚;当康滇古陆、龙门山岛链与华蓥山断裂带构造的活动性都较低时,全区以清水陆棚为主。  相似文献   

细基江蓠繁枝变型对水体硝态氮变化的生理响应     

黄鹤忠  孙菊燕  贺丽虹  申华 《海洋科学》2006,30(11):32-36

通过静态模拟实验,比较研究了6个硝态氮(NO3--N)摩尔浓度水平(0,10,20,40,60,80μmol/L)下培养的细基江蓠繁枝变型(Gracilariatenuistipitatavar.liuiZhangetXia)的丙二醛(MDA)、游离脯氨酸含量以及硝酸还原酶(NR)、超氧化物酶歧化酶(SOD)、过氧化物酶(POD)活性的变化。结果表明,随着水体NO3--N摩尔浓度的逐渐增加,细基江蓠繁枝变型NR、SOD和POD的活性均呈现先增加后下降的显著变化(P<0.05),膜脂过氧化产物MDA含量随水体NO3--N摩尔浓度的变化则呈相反的趋势(P<0.05);游离脯氨酸含量则与水体NO3--N摩尔浓度呈正相关(r=0.9161)。综合分析结果认为,单独以硝态氮为氮源时,20μmol/L的供氮水平能使细基江蓠繁枝变型处于相对最佳的生理状态。  相似文献   

应用荧光抗体技术检测牙鲆体内的河流弧菌   总被引：12，自引：0，他引：12  

鄢庆枇  邹文政  纪荣兴  庄峙厦  王小如 《海洋科学》2006,30(4):16-19

用灭活的河流弧菌(Vibrio fluvialis)抗原,注射免疫实验兔,制得凝集价为1∶5 120的抗血清。用试管凝集法检测了抗血清的特异性,再用免疫吸附法去除交叉反应,从而得到高效价、高特异性的抗河流弧菌血清。用所制备的抗血清在实验室中建立起河流弧菌荧光抗体检测技术(FAT),在荧光显微镜下可清楚地看到被标记的病原菌,整个检测过程只需3h。用河流弧菌感染牙鲆(Paralichthys olivaceus),24 h后,用FAT测定牙鲆的血液、肾脏和肝脏中的河流弧菌,在血液中河流弧菌的检出率最高,其次是肾脏,肝脏的检出率最低。以上结果表明:荧光抗体技术可以快速、灵敏、准确地检测出牙鲆体内的河流弧菌。  相似文献   

结合nDSM的高分辨率遥感影像深度学习分类方法   总被引：1，自引：0，他引：1  

许慧敏  齐华  南轲  陈敏 《测绘通报》2019,(8):63-67

针对高分辨率遥感影像因其地物类内差异大、光谱信息相对欠缺导致现有影像分类方法存在错分现象较多、地物边界残缺不完整等问题，本文提出了一种归一化数字表面模型（nDSM）约束的高分辨率遥感影像深度学习分类方法。首先，将nDSM数据作为附加波段叠加在遥感影像上并获取训练样本；然后，利用优化的U-Net网络进行模型训练得到最优模型；最后，利用最优模型对附加了nDSM波段的遥感影像进行地物分类。试验结果表明，本文方法引入nDSM数据用于U-Net模型训练和分类，可有效提高影像分类精度，得到更加真实可靠的分类结果。  相似文献   

广州港新沙港区板桩码头结构设计方案比选分析     

刘洪超  李华 《海岸工程》2020,39(1):53-59

介绍了广州港新沙港区板桩码头主要内力计算方法及常用软件,结合设计过程、工程地质情况、现场实际施工情况,着重从受力合理性、施工便利性、节省造价方面,对提出的钢板桩方案、钢管板桩方案进行比较分析,确定了钢管板桩结构更合理,并对优势进行总结。研究表明相对于钢板桩结构,钢管板桩结构在抗弯、抗变形、拉杆拉力和锚碇墙稳定性、对复杂地基(软弱土层较厚、岩层标高较高的地基)适应性、兼顾桩基基础、施工速度等方面更具备优势,且钢管板桩结构可更好的适应码头的大型化和深水化发展,在类似工程设计中可优先采用钢管板桩结构。  相似文献   

Relationship of Ecological Well-being Performance and Sustainable Economic Development in Liaoning Province     

ZHANG Hua  YU Miao  SUN Cuiyang  LIU Jiangang 《资源与生态学报(英文版)》2019,10(1):39-47

Liaoning Province is in a critical period of economic transformation. The rational utilization of ecological resources and the balance of the relationship between the resource environment and economic growth have become the key factors affecting its sustainable economic development. This paper uses data from the Human Development Index and an ecological footprint to construct the ecological well-being performance of Liaoning Province from 2006 to 2016. It then examines the relationship of ecological well-being performance with economic growth, considers the factors influencing the well-being level effect, and analyzes the trends for sustainable economic development from the perspective of ecological well-being. There is a horizontal comparison of the current situation of ecological well-being performance in Liaoning Province and with other coastal provinces in China and clarification of the stage and development gap. The conclusions show that: 1) The trend of ecological well-being performance in Liaoning Province during this period first decreased and then rose, with this movement mainly affected by changes in the ecological footprint; 2) There is a U-shaped relationship between ecological well-being performance and economic growth, and resource consumption contributes less to promote well-being; 3) There are three stages to the sustainable development trend: inferior, medium and advanced. When compared with others coastal provinces, Liaoning Province belongs to the high consumption and low well-being type.  相似文献   

Using data‐driven methods to explore the predictability of surface soil moisture with FLUXNET site data     

Jinjing Pan  Wei Shangguan  Lu Li  Hua Yuan  Shupeng Zhang  Xinjie Lu  Nan Wei  Yongjiu Dai 《水文研究》2019,33(23):2978-2996

Soil moisture (SM) is a key variable of land surface‐atmosphere interactions. Data‐driven methods have been used to predict SM, but the predictability of SM has not been well evaluated. This study investigated what variables and methods can be used to better predict SM for leading times of 7 days or longer with a global coverage of FLUXNET site data for the first time. Three machine‐learning models, that is, Bayesian linear regression, random forest, and gradient boosting regression tree, are used for the prediction. Variables including atmospheric forcing, surface soil temperature, time variables (year, day of year, and hour), the Fourier transformation of time variables, and lagged SM (7‐ to 14‐day lagged) were sequentially added into models. A framework with five experiments is designed for factorial exploration of SM predictability. A stepwise method was used to build the best models for each site. The performance of regression models became better when adding more explaining variables in most cases. The results showed that from 50 to 95% of variation of the best models can be explained. The important explaining variables are lagged surface SM, followed by day of year, year, soil temperature, and atmospheric forcing. The predictability of SM depends highly on SM memory characteristics and the persistence of seasonality. The effect of SM memory characteristics on SM prediction as an initial condition question has been widely discussed in this paper. Our results also provide an insight that mechanisms of seasonality effects on SM should be also paid more attention to.  相似文献