淋溶在红树植物秋茄落叶分解失重中的潜在作用

于１９８６年冬－１９８９年秋在福建省九龙江口，连续３年分季节进行红树植物秋茄落叶在林地滩面的分解实验，并在室内测定其落叶和腐叶的可溶性物质含量，定量探讨淋溶在落叶分解失重中的潜在作用。结果表明，可溶性物质平均占落叶干重的２７．２６％，这些可溶性物质中的８７％在分解初期的快速淋溶阶段迅速损失，可导致落叶初始干重损失２４％。快速淋溶阶段持续时间平均分别是，春季３６ｄ，夏季，１３ｄ，秋季，１７ｄ，冬季５     

Decomposition of macrophytes in a shallow subtropical lake

Submerged macrophyte detritus is a major component of the organic matter entering shallow lakes. Plant litter decomposition is a complex process that is mediated by microorganisms and some invertebrates. However, the role that aquatic organisms play in the decomposition of macrophytes in shallow subtropical lakes is unclear. This study compared the decomposition rates of Potamogeton pectinatus and Chara zeylanica in a shallow lake (southern Brazil) and assessed the fungal biomass and the macroinvertebrate community associated with the detritus. Aliquots of both species were incubated in litter bags and placed in the lake. After 1, 7, 20, 40, 60, and 80 days of incubation, one set of litter bags was removed from the lake. In a laboratory, plant material was washed for the determination of decomposition rates, chemical characterisation, and quantification of microorganisms and invertebrates. After 80 days of incubation, there was no C. zeylanica detritus, with a decomposition that was four times faster than that of P. pectinatus. The chemical composition was also different between the two detritus, with P. pectinatus showing a higher concentration of nitrogen, phosphorus, organic matter, polyphenols, and carbon. The fungal biomass was similar between the two species. In total, 7502 invertebrates belonging to 27 taxa were sampled in this study. The composition and abundance of invertebrates was different between the two species. In conclusion, the chemical structure of the macrophyte species studied was important for the microorganisms’ and invertebrates’ colonisation. In addition, leaching had an important function in the initial degradation process.     

基于成像域射线束建模的剩余静校正方法研究及应用

由信噪比极低的资料生成的剩余静校正模型,其信噪比通常也较低,导致剩余静校正效果不理想,因此提高模型的信噪比,在提高资料处理品质中有着极其重要的意义.文章提出了一种基于成像域射线束建模的剩余静校正的方法.该方法是采用成像域射线束建模对数据进行分解和重构,并且根据不同的分解级数和分解尺度,分解和重构成不同成分的数据,该方法在重构的过程中加入倾角场的约束,能有效保护高陡构造.成像域射线束建模得到的第一级分量为数据的主要成分,构造保真,信噪比高,把该分量作为外部模型,进行外部模型剩余静校正.把本文方法在低信噪比资料进行应用,提高低信噪比资料的剩余静校正效果,有效的改善了资料处理成果的品质.     

氮沉降和水位下降对湿地生态系统的影响

介绍了湿地生态系统及其氮沉降和水位下降的概况,综述了全球变化背景下的氮沉降和水位下降对湿地生态系统的具体影响。氮沉降能够在一定范围内提高生产力,具体表现在植物的地上生物量、净初级生产力、植株高度等方面,氮沉降还影响植被组成,使苔藓类植物向维管植物过渡;氮沉降通过两种方式促进微生物分解,一是解除微生物代谢的限制因素,二是改变微生物分解底物的质量;此外,氮沉降还影响温室气体(甲烷、二氧化碳、氧化亚氮)的通量。水位下降后,植被的光合速率降低,生长降低,促进微生物的分解,使温室气体二氧化碳、氧化亚氮的通量增加,使甲烷通量降低。     

一种去除地震背景噪音的新方法

结合希尔伯特-黄变换方法,根据信号背景噪音时间延续性假设,提出了一种自适应地震信号去噪算法。利用该算法实现了台站地震监测信号的去噪分析。分析表明：1）该去噪算法能根据背景信号特性有效去除信号的低频干扰;2）该算法可自适应完成信号分解去噪,计算效率高,无时间分辨率和频率分辨率问题;3）该算法处理高频干扰存在缺陷,有待进一步完善。     

全波形激光雷达回波分解方法

全波形激光雷达的回波中携带了被测目标的距离与特征信息,为了获取这些信息,本文提出了一种回波分解方法。本方法将原始的全波形回波分解为几个独立的高斯脉冲,并得到其函数表达式,从而提取出被测目标的距离等信息。分解过程中,首先,采用可变阈值的经验模态分解滤波法(EMD-soft)对原始波形进行滤波和噪声水平评估;其次,采用一套应对多种波形组成的初始参数估计方法,获取后续拟合所需的初始参数;最后,采用LM(Levenberg-Marquardt)优化算法对回波进行拟合优化,从而获取全波形回波中包含的独立高斯脉冲及其函数表达式。仿真波形的分解实验表明,分解误差在0.1 ns量级,换算成距离误差为15 mm,通过实验室自制的全波形激光雷达实验系统获取的回波的分解实验表明,分解的距离误差小于0.1 m。对比另外两种高斯分解方法对于相同仿真与实验数据的分解结果可以看出,本方法在分解成功率与精度上都有较大的提高。回波分解后的独立高斯脉冲中,除距离外还含有被测目标的反射率、粗糙度、面型等丰富的信息,回波分解方法作为回波分析的基础,将在遥感、测绘等生产与科研领域中发挥非常重要的作用。     

青藏高原感热与黄土高原春季降水异常关系研究

利用1961～2000年黄土高原56站的春季降水、气温资料,用SVD方法分析了其与青藏高原感热场的关系。结果表明,降水量与青藏高原感热场的前两模态代表了两场间的主要耦合特征;上年冬季和秋季青藏高原感热场的异常通过影响大气环流,能够导致次年黄土高原春季降水异常;青藏高原感热对黄土高原西部和南部、北部的部分地区影响较显著,而对陕西北部、山西中部影响不明显。前期高原感热场SVD第一、二模态的变化,可以作为黄土高原春季降水异常的预测信号。     

黄土高原100万年以来东亚夏季风演变信号的多尺度分析

在研究黄土高原东亚季风地质时期周期演变中,利用经验模态分解(EMD)方法对黄土高原甘肃省灵台和赵家川黄土剖面约1 MaB.P.以来磁化率时间序列进行多尺度变化分析,结果表明:1)0~0.8 MaB.P.地球轨道三要素中的偏心率准400 ka、100 ka周期在黄土沉积中反映明显,方差贡献率达35.19%,还发现16 ka的岁差周期及334 ka1、77 ka5、8 ka、31 ka、7.9 ka、3.9 ka的非轨道准周期;2)0.8~1 MaB.P.也发现地球轨道三要素中的偏心率准100 ka周期2、1 ka岁差周期及55 ka、8.3 ka、3.5 ka非轨道准周期,偏心率准100 ka周期具有主导地位(方差贡献率达37.44%);3)尽管黄土记录的东亚夏季风100 ka周期的产生机制已有多种假说,古气候学界还是普遍认为它产生于某些尚不清楚的过程,有待进一步研究。     

南海东北部内波特征——经验模态分解方法应用初探

利用地震海洋学方法研究海洋内波已成为海洋地球物理学家与物理海洋学家共同关注的前沿问题.本文尝试利用当今时频分析的新手段——希尔伯特-黄变换中的经验模态分解（EMD）方法对南海东北部地震数据处理获得的垂直位移分布数据进行分解,获得了一些有新意的结果.分解结果表明,南海东北部海盆上方区域的内波包含波长约1.2、2.5、4、12.5 km的组成成分,其中波长约1.2、2.5 km的内波在200~1050 m的深度范围内上、下各层的波动基本耦合;波长约4 km与12.5 km的内波以600~700 m的水层为分界,其上、下部分的内波相位差90°,指示低波数内波能量的斜向传播.这些研究表明,EMD方法在内波运动学特征的地震海洋学研宄方面有良好的应用前景.     

基于CMIP5模拟预估21世纪珠江三角洲地区由于海平面上升而导致的淹没区面积

Projections of potential submerged area due to sea level rise are helpful for improving understanding of the influence of ongoing global warming on coastal areas. The Ensemble Empirical Mode Decomposition method is used to adaptively decompose the sea level time series in order to extract the secular trend component. Then the linear relationship between the global mean sea level(GMSL) change and the Zhujiang(Pearl) River Delta(PRD)sea level change is calculated: an increase of 1.0 m in the GMSL corresponds to a 1.3 m(uncertainty interval from1.25 to 1.46 m) increase in the PRD. Based on this relationship and the GMSL rise projected by the Coupled Model Intercomparison Project Phase 5 under three greenhouse gas emission scenarios(representative concentration pathways, or RCPs, from low to high emission scenarios RCP2.6, RCP4.5, and RCP8.5), the PRD sea level is calculated and projected for the period 2006–2100. By around the year 2050, the PRD sea level will rise 0.29(0.21 to 0.40) m under RCP2.6, 0.31(0.22 to 0.42) m under RCP4.5, and 0.34(0.25 to 0.46) m under RCP8.5, respectively.By 2100, it will rise 0.59(0.36 to 0.88) m, 0.71(0.47 to 1.02) m, and 1.0(0.68 to 1.41) m, respectively. In addition,considering the extreme value of relative sea level due to land subsidence(i.e., 0.20 m) and that obtained from intermonthly variability(i.e., 0.33 m), the PRD sea level will rise 1.94 m by the year 2100 under the RCP8.5scenario with the upper uncertainty level(i.e., 1.41 m). Accordingly, the potential submerged area is 8.57×103 km2 for the PRD, about 1.3 times its present area.