秋季东海和南黄海表层海水CO_2体系各参数分布及海-气界面通量

根据2007年11月在东海和南黄海海域表层海水测得的TCO2和TA数据,计算了表层海水pCO2,结合现场环境对表层海水CO2体系各参数的分布进行了讨论,探讨了pCO2与海水温度及叶绿素的相关性,利用Wanninkhof(1992)提出的通量模式并采用加权平均法估算了整个调查海域的海-气CO2的净通量。结果表明:观测海域表层海水CO2系统各参量的分布呈明显的不均匀性,在水团的混合处往往是各参量的高值或低值中心。由相关性分析可知,pCO2的分布主要受海水温度的影响,生物活动的影响较弱。受秋季较大风速的影响,调查海域表现为强的CO2源,秋季可向大气释放CO2约为556×104tC。     

夏季长江口外东海海域实测海流资料分析

根据2009年8,9月间长江口外海域C1,B1 2个站位的短期连续ADCP实测资料,采用调和分析、EOF分解、功率谱分析以及频率统计等方法,分析了该海域海流随时间的变化趋势和空间的结构特征。结果表明,2个站位流速在观测期间愈来愈强,准定常流动均是南向流动占优。长江口外海域M2为主要分潮,属于正规半日潮,各层潮流呈现出旋转流性质,旋转方向为顺时针占优。2个站位潮流的U,V分量均为第一模态主导,其垂向模态基本一致,体现了潮流的正压特征,2个站位的斜压性均不明显。海流的流速、流向频率统计显示两站均在SSE,S,SSW方向的频率最大。     

青岛仿刺参中3种海参皂苷的分离纯化及结构鉴定

对青岛产仿刺参体内皂苷类成分进行分离及结构鉴定,确定其皂苷的主要组成及比例。应用大孔树脂,正相硅胶柱层析和半制备型HPLC对青岛产仿刺参体内的皂苷成分进行分离纯化,根据化合物的理化性质和波谱数据鉴定其结构。共分离并鉴定3种三萜皂苷类化合物,分别为Cladoloside B(1),Holotoxin A1(2)和Holotoxin B1(3)。青岛海域仿刺参体内的皂苷组成主要为Cladoloside B(1),Holotoxin A1(2)和Holotoxin B1(3),比例约为1∶4.5∶1.7。     

车辆碾压作用下戈壁地表起尘浓度

通过野外观测车辆碾压作用下戈壁地表PM₁₀释放浓度,探讨其主要影响因素。针对戈壁区砾石、砂砾、砂质和砂土4种路面类型,应用TSI粉尘仪多次重复观测车辆碾压产生的PM₁₀浓度,进而阐明碾压次数、车速和地表水分等因素对起尘浓度的影响。结果表明：4种路面的平均起尘浓度依次为5.339、9.089、16.944、50.251 mg·m^-3,是自然状态下的5~50倍;起尘浓度随碾压次数增多而增大,其中砂土路情况下的增长最显著;随土层厚度的增大呈现出幂函数的增长趋势;降雨后路面起尘浓度显著减小,且降雨量会影响降雨后起尘浓度的变化趋势。最后提出了针对性的建议和措施以减弱车辆碾压导致的戈壁地表起尘。     

基于两种无人机航拍影像的林窗和林冠提取分析

森林冠层和林窗的结构及其时空变化是理解森林生态系统格局、动态变化过程的重要基础。在当前生物多样性监测倍受关注的契机下,如何以合适的手段准确描述林窗面积、分布等特征,并与森林固定样地监测数据有效地结合,更好地回答群落构建的理论问题,使森林群落物种多样性维持机制得到更全面的认识,是目前亟待解决的问题。以鼎湖山南亚热带常绿阔叶林20hm2固定监测样地为研究对象,基于不同遥感影像提取方法对其林窗和林冠表层数据进行提取分析。结果表明:基于监督分类的提取方法适合RGB波段航片林窗的提取,在林窗分类中,应首先确定林窗高度、边界木与最小面积,不同分类方法差异主要表现在林冠分类中,林窗分类生产者精度和用户精度表现都较为一致。无人机航拍识别率受地形因素影响较大,在地形复杂林地应按坡度分区域进行飞行以降低误差。相对于地面调查,MD4-1000无人机航片的林窗识别率为98.7%;大疆Phantom4无人机航片的林窗识别率为72.3%,影像后期处理数据量小,同样适用于森林林窗定量研究,符合生态学、林业等从业人员对大型样地林窗长期监测的要求。无人机航拍南亚热带森林物种识别难度较大,基于MD4-1000无人机搭载的高分辨率相机,在地势平缓区域优选的4 hm2样地中可识别林冠表层物种数17种,共2 706个个体。搭载高分辨率无人机在降低飞行高度的基础上可进行部分物种识别。应用无人机近地面遥感对森林固定样地进行林冠监测,可为后期群落构建研究提供数据基础,有望从新的研究角度探讨森林群落物种多样性维持机制。     

基于随机森林的光子计数激光雷达点云滤波

新一代星载激光雷达卫星ICESat-2首次采用了微脉冲光子计数激光雷达技术,由于单光子探测的灵敏性导致数据在大气和地表下层产生了大量噪声,因此对光子计数激光雷达点云数据实现信号和噪声的分离是开展进一步应用研究的前提和基础。本文选择美国俄勒冈州和弗吉尼亚州2个研究区,采用MATLAS数据,根据光子点云数据的特点构造了12个光子点云特征,对所构造的特征利用随机森林进行变量筛选,用机器学习方法对光子点云进行分类,并将建立好的模型推广到整个研究区。研究结果表明,本文构建的分类器分类总精度达到了96.79%,Kappa系数为0.94,平均生产者精度和用户精度分别为97.1%和96.8%。在相对弱噪声、平坦地形区域和强噪声、复杂地形区域都取得较好的分类结果。本文结果显示了基于少量样本通过机器学习的方法构建模型,可以推广到较大范围区域的光子点云分类应用中。     

GPS/PWV时间序列特征提取方法的研究

针对GAMIT/GLOBK软件解算得到的4 a GPS/PWV时间序列的特征提取问题,提出基于滤波辅助的部分集成经验模态分解（PEEMD）与Hilbert谱分析相结合的特征提取方法。首先,在PEEMD方法的基础上,结合滤波辅助的PEEMD方法与Hilbert谱分析,建立GPS/PWV时间序列特征提取模型;然后,将所提出的方法应用于TNML测站4 a的GPS/PWV长时间序列和7 d的GPS/PWV短时间序列分析中,并将滤波辅助的PEEMD结果与传统的小波分解结果进行对比。结果表明,该特征提取方法能准确有效地提取出 GPS/PWV时间序列中的周年周期和日周期特征分量,滤波辅助的PEEMD分解结果与小波分解结果一致,且提取的特征分量与原始信号更加吻合。     

地理信息公共服务平台的总体技术设计研究

国家地理信息公共服务平台建设与运行维护是一项超大型地理信息工程。为了切实做好统筹规划、统一设计、规范建设、分步实施,国家测绘局组织开展了总体技术设计研究,制订了技术设计指南。本文介绍了国家地理信息公共服务平台总体设计的基本思路和总体架构。     

Effects of Hypoxia on Dopamine Concentration and the Immune Response of White Shrimp （Litopenaeus vannamei）

Effects of hypoxia on the dopamine concentration and the immune response of White Shrimp Litopenaeus vannamei were studied. The results showed that hypoxia had significant effects on the concentration of dopamine (DA) in the haemolymph, haemocyte count, phenoloxidase activity, phagocytic activity of haemocytes and bacteriolytic and antibacterial activity in the haemolvmph (P<0.05). The concentration of the dopamine in haemolymph reached its maximum in the 3.0 and 1.5mgL-1 DO groups at 12h and 6h, and then returned to normal after 24h and 12h, respectively. All immune parameters decreased with the reduction of dissolved oxygen. Total haemocyte count (THC), the hyaline cells and semi-granular cells in the 3.0mgL-1 DO group became stable after 12h,while granular cells did so after 24h, The THC and different haemocyte count (DHC) in the 1.5mgL-1 DO group became stable alter 24h. Phenoloxidase activity and bacteriolytic activity in the 3.0 and 1.5mgL-1 DO groups reached their stable levels after 24 h and 12 h respectively, while phagocytic activity and antibacterial activity became stable after 24 and 12, and 36 and 24 It, respec-tively. It was also indicated that the changes of dopamine concentrations in haemolymph, haemocyte count and phenoloxidase activ-ity were obviously related to the exposure time under hypoxic conditions.     

The Effect of Temperature on Growth and Energy Budget of the Polychaete,Neanthes japonica Izuka

Growth and energy budget of the polychaete, Neanthesjaponica, at various temperatures (17, 20, 23, 26 and 29 ℃) were investigated in this study. The growth, as indicated by final dry weight and specific growth rate (SGR), increased with increasing temperature, with the maximum level at 26℃, and then decreased significantly at 29℃. A similar trend was observed in feeding rate, food conversion efficiency (FCE) and apparent digestive rate (ADR). However, no significant differences were detected in ADR among all the temperature treatments. In the pattern of energy allocation, faeces energy was only a small component of energy budget and had little influence on the proportion of food energy allocated to growth. The metabolic energy accounted for a large portion of energy intake for each temperature treatment. The nitrogen excretion was appreciable with changing temperature. The two expendi-ture terms (respiration energy and excretion energy) in energy budget were the major factors influencing the proportion of food en-ergy allocated to growth. These results revealed that temperature affected the growth of N. japonica mainly by influencing feeding rate and FCE. In addition, regression equations describing the relationship between feeding rate, faecal production, SGR, FCE and temperature were obtained. The optimum temperatures for feeding rate, FCE and SGR were estimated at 25.01 ℃, 24.24℃ and 24.73 ℃, respectively, from the regression equations.