海带中抑藻活性化合物的分离及抑藻活性分析

以2000 g海带为原料、米氏凯伦藻为测试微藻,采用甲醇浸提、液液萃取、硅胶柱层析、Seph-adax LH-20凝胶柱层析和硅胶薄层层析等分离方法,纯化可能具有抑藻活性的化合物,制备到5个薄层纯样品,B21(1.39 g)、B131(0.51 g)、B132(0.48 g)、C211(0.016 g)和C212(0....     

黑潮及相邻海域表层砂壳纤毛虫分布模式:以夏季黄海、东海至西太平洋断面为例

2019年夏季对沿黄、东海至西太平洋跨越黑潮一个断面(122°E～145°E)的表层砂壳纤毛虫群落进行调查,研究了黑潮中砂壳纤毛虫与相邻水体的差异.根据水文环境及各站位所处的空间位置,我们将研究区域划分为大洋边缘区域、黑潮区域和大洋区域.各站位砂壳纤毛虫的丰度范围为3.95～31.94 ind·L–1,种丰富度范围为6...     

城市综合与专业地下管线空间数据的差异性分析

从管线数据来源及数据精度、数据模型、信息分类、数据语义等几个方面,本文对城市综合与专业两类地下管线空间数据进行了深入的差异分析,提出了差异形成的原因及消除差异的初步对策,以期对城市管线空间数据资源的集成、融合、共享、交换等技术提供支撑,并推动地下管线信息化统一标准的制订。     

基于WRF模式数据和CASA模型的青海湖流域草地NPP估算研究

植被净初级生产力(NPP)是研究陆地碳循环过程的核心内容, 而高海拔区域由于气象观测数据的缺乏造成模型对其估算的不准确.在WRF模式气象数据和SPOT-VEGETATION遥感影像的基础上, 利用CASA模型对青海湖流域2000-2010年的草地NPP进行了估算, 经过实地样方数据和其他模型数据的验证后, 分析了青海湖流域近11 a来草地NPP的空间分布格局和时间变化特征.结果表明: 1)在气象观测资料缺乏的青海湖流域, WRF模式的气象数据能较好地应用到模型中, CASA模型对该区域草地NPP的模拟精度较高; 2)2000-2010年青海湖流域草地年均NPP为2.71×10¹²gC·a^-1, 单位面积草地NPP为145.71 gC·m^-2·a^-1; 空间分布上呈现出由东南向西北随着海拔升高逐渐下降的格局, 在海拔3 200~3 500 m的区域草地单位面积的NPP达到最大; 3)2000-2010年青海湖流域草地NPP年际变化明显, 近11 a呈现出明显的增加趋势, 增加区域主要分布在环湖地区; 年内季节变化显著, 夏季NPP占到全年的57.36%; 4)对NPP和气象站点太阳辐射、 气温、 降水数据进行相关性分析, 发现影响青海湖流域草地NPP变化的主要驱动力是气温.     

Focal Mechanism Solutions of the 2008 Wenchuan earthquake sequence from P-wave polarities and SH/P amplitude ratios: new results and implications

The 2008 Wenchuan earthquake, a major intraplate earthquake with M _w 7.9, occurred on the slowly deforming Longmenshan fault. To better understand the causes of this devastating earthquake, we need knowledge of the regional stress field and the underlying geodynamic processes. Here, we determine focal mechanism solutions (FMSs) of the 2008 Wenchuan earthquake sequence (WES) using both P-wave first-motion polarity data and SH/P amplitude ratio (AR) data. As P-wave polarities are more reliable information, they are given priority over SH/P AR, the latter of which are used only when the former has loose constraint on the FMSs. We collect data from three categories: (1) permanent stations deployed by the China Earthquake Administration (CEA); (2) the Western Sichuan Passive Seismic Array (WSPSA) deployed by Institute of Geology, CEA; (3) global stations from Incorporated Research Institutions for Seismology. Finally, 129 events with magnitude over M _s 4.0 in the 2008 WES are identified to have well-constrained FMSs. Among them, 83 are well constrained by P-wave polarities only as shown by Cai et al. (Earthq Sci 24(1):115–125, 2011), and the rest of which are newly constrained by incorporating SH/P AR. Based on the spatial distribution and FMSs of the WES, we draw following conclusions: (1) the principle compressional directions of most FMSs of the WES are subhorizontal, generally in agreement with the conclusion given by Cai et al. (2011) but with a few modifications that the compressional directions are WNW–ESE around Wenchuan and ENE–WSW around Qingchuan, respectively. The subhorizontal compressional direction along the Longmenshan fault from SW to NE seems to have a left-lateral rotation, which agrees well with regional stress field inverted by former researchers (e.g., Xu et al., Acta Seismol Sin 30(5), 1987; Acta Geophys Sin 32(6), 1989; Cui et al., Seismol Geol 27(2):234–242, 2005); (2) the FMSs of the events not only reflected the regional stress state of the Longmenshan region, but also were obviously controlled by the faults to some extent, which was pointed out by Cai et al. (2011) and Yi et al. (Chin J Geophys 55(4):1213–1227, 2012); (3) while the 2008 Wenchuan earthquake and some of its strong aftershocks released most of the elastic energy accumulated on the Longmenshan fault, some other aftershocks seem to occur just for releasing the elastic energy promptly created by the 2008 Wenchuan earthquake and some of its strong aftershocks. (4) Our results further suggest that the Longmenshan fault from Wenchuan to Beichuan was nearly fully destroyed by the 2008 Wenchuan earthquake and accordingly propose that there is less probability for great earthquakes in the middle part of the Longmenshan fault in the near future, although there might be a barrier to the southwest of Wenchuan and it is needed to pay some attention on it in the near future.     

基于分维数的土体裂隙表征单元体估算

由于干湿循环、剪切或其它作用,自然界土壤表面发育着大量裂隙。裂隙相互连接形成网络,裂隙网络是一个随机无序的系统,常规统计方法描述裂隙的分布特征存在很大的难度。网状土体裂隙一般具有分形特征,可以用分维数来进行描述。用数码相机拍摄土体表面的裂隙,将其转换成灰度图像,并结合分形理论,建立了摄影法测定土体裂隙分维数的方法,得到了土体裂隙的分维数。根据表征单元体的物理意义,建立了基于分维数估算表征单元体的方法,并对实例进行了分析。研究表明：分维数随裂隙密度,裂隙宽度和次一级裂隙发育程度的增大而增大;表征单元体与裂隙的密度均匀性和隙宽均匀性相关,基于分维数估算表征单元体的方法简便可行。     

Remote forcing of Indian Ocean warming on Northwest Pacific during E1 Nino decaying years： a FOAM model approach

This paper attempts to analyze in detail the remote influence of the Indian Ocean Basin warming on the Northwest Pacific （NWP） during the year of decaying E1 Nifio. Observation data and the Fast Ocean- Atmosphere coupled Model 1.5 were used to investigate the triggering conditions under which the remote influence is formed between the positive sea surface temperature （SST） anomaly in the North Indian Ocean and the Anomalous Northwest Pacific anticyclone （ANWPA）. Our research show that it is only when there is a contributory background wind field over the Indian Ocean, i,e., when the Indian Summer Monsoon （ISM） reaches its peak, that the warmer SST anomaly in the North Indian Ocean incites significant easterly wind anomalies in the lower atmosphere of the Indo-West tropical Pacific. This then produces the remote influence on the ANWPA. Therefore, the SST anomaly in the North Indian Ocean might interfere with the prediction of the East Asia Summer Monsoon in the year of decaying E1 Nifio. Both the sustaining effect of local negative SST anomalies in the NWP, and the remote effect of positive SST anomalies in the North Indian Ocean on the ANWPA, should be considered in further research.     

利用经验正交函数数据插值法重构东中国海叶绿素a质量浓度场

利用经验正交函数数据插值法(Data INterpolating Empirical Orthogonal Functions)重构由MODIS-Aqua卫星提供的三级产品叶绿素a质量浓度,得到了从2003—2009年东中国海叶绿素a质量浓度的月平均场。东中国海近岸叶绿素a质量浓度7 a平均值明显高于外海。对叶绿素a质量浓度季节平均场进行分析研究表明,东中国海叶绿素a质量浓度主要受长江径流、海表水温和季风的影响。对叶绿素a质量浓度异常场进行EOF分析表明,第一模态方差贡献为37.8％,空间分布显示,在长江口东北部出现叶绿素a质量浓度异常高值区,时间变化以半年和半年以下周期为主;第二模态方差贡献为21.4％,空间分布显示,在长江口东部出现叶绿素a质量浓度异常高值区,时间系数主要表现为年际变化。     

基于加权Voronoi图的北京市湿地功能分区研究

湿地功能分区是城市湿地生态系统健康恢复、管理改善,以及资源可持续利用的重要前提。本文以北京湿地为例,利用客观赋权的主成分分析法对湿地生态服务功能进行综合评价;并结合空间分析中的Voronoi图空间分区方法,通过利用牛顿-断裂点模型确定属性权重的主要步骤,构建基于加权Voronoi图的城市湿地功能分区模型,开展"自下而上"定量化的北京湿地功能分区研究。结果表明:(1)北京湿地功能综合评价中,密云水库湿地的功能综合值最大,表明该湿地生态服务功能作用最重要。(2)北京湿地功能分区分为三级框架,其中包括4个一级核心湿地功能区、15个二级核心湿地功能区、43个三级核心湿地单元。(3)湿地资源功能价值量与湿地斑块空间关系的相结合,实现了属性和空间双重距离约束的湿地功能分区,促进了湿地生态系统服务价值评估在决策管理中的深入应用,为城市湿地功能区划提供技术支持。     

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