船载表层水温观测研究

通过研究国家相关海洋观测标准对海水温度观测的规约,结合当前船载水温观测的现状,提出了基于总线的船载磁吸附温度链式观测方法,并对其在结构设计、理论模型、算法等多方面进行了阐述。本方法通过多个竖直分布的温度传感器实时观测,采用自适应参数化算法,有效减少了风浪、海流、热辐射等方面的影响,具有观测层深相对固定、精度高等特点,可实现船载全航次的自动观测。同时,设计制造了相关的模拟实验装置进行现场实验,验证了船载磁吸附温度链式观测方法的可行性和有效性。     

一株海水氨氧化细菌的系统发育分析

应用PCR技术扩增16S rRNA基因和amoA(ammonia monooxygenase subunit A)的基因片段,并测定其序列,对一株源于海水养殖水体的高效氨氧化细菌(ammonia-oxidizing bacteria,AOB)进行了系统发育分析。结果表明,经PCR扩增得到了1 098 bp的16S rRNA基因片段和491 bp的amoA基因片段,将其序列用NCBI-Blast软件在GenBank数据库中进行同源性检索后发现,该菌株的16S rRNA基因序列和amoA基因序列分别与亚硝化单胞菌Nitrosomonas sp.NS20的相对应基因片段相似性分别为98.4%和96.7%。在此基础上构建了系统发育树,表明用该菌株的16S rRNA基因片段和amoA基因片段构建的系统发育树均与亚硝化单胞菌属类聚在一起,结合该菌株形态和生理生化特性,鉴定该株氨氧化细菌属亚硝化单胞菌。     

南极冰藻 Chlamydomonas sp.ICE-L的 cDNA文库构建及品质检测

为构建南极冰藻Chlamydomonassp.ICE-L的cDNA文库,提取对数生长期南极冰藻ICE-L的总RNA,以此为模板,通过PowerScript逆转录酶逆转录合成第一链cDNA;再以第一链cDNA产物为模板,用LD-PCR合成第二链cDNA。该cDNA产物经分级分离转入大肠杆菌中,即获得南极冰藻ICE-L的cDNA原始文库,其滴度为1.6×106cfu/mL。扩增后的cDNA文库的滴度为1.0×1010cfu/mL。用PCR方法测得文库的重组率大于97%,插入cDNA的长度为0.5~1.8 kb,0.9 kb以上插入片段占50%以上。取适量扩增文库稀释并铺平板,挑取72个独立菌落,对其中22个独立菌落所插入的cDNA进行测序,克隆到了一个具有5′和3′非编码区的40S ribosomalprotein S5全长基因序列,GenBank收录号为AM167929。     

WISE EXPLOITATION OF NEWLY GROWING LAND RESOURCES——An Assessment on Land-use Change of Chongming Island Using GIS

1INTRODUCTIONThreewell-documentedmajorglobalchangesaffectinghumanbeingsareincreasingconcentrationofcarbondioxideintheatmosphere,alterationinthebiochemistryoftheglobalnitrogencycle,andon-goinglanduse/coverchange(LUCC)(VITOUSEK,1994).Forcen-turies,humanbeingshavebeenalteringtheearth'ssurfacetoproducetheirfoodandsheltersthroughagri-culturalactivities(REIDetal.,2000).Likeothercountries,Chinaisalsosubjecttolandtransformation,forinstance,abouthalfamillionhectaresofwetlandshavebeenreclaime…     

Hydrological identification of drought

The problem of drought identification is considered from a primarily hydrological viewpoint. The problems related to the definition, identification and prediction of drought have not yet been solved. Although rainfall data are analysed as the main indicator and characteristic of drought, other characteristics resulting from a rainfall deficit are also important. A time unit of one month was selected as the most suitable for analysis. Special attention was paid to the selection of truncation levels with respect to their influence on the results of drought identification. Three methods for drought identification were applied to a series of monthly rainfall data in Osijek from January 1882 to December 1990: (1) run analysis; (2) a discrete Markov process; and (3) the percentile method. Although the results of these three methods are encouraging, different methods yielded similar results. Some drawbacks of the application of distribution curves are discussed. Drought events should be identified using a number of different procedures.     

Reducing geological uncertainty by conditioning on boreholes: the coupled Markov chain approach

The CMC (coupled Markov chain) model, which is based on the extension of Markov chains in two-dimensions, is used in the reduction of uncertainty in geological structures when conditioned (i.e., honours the data and their location) on a number of boreholes. The model has been applied to an unconsolidated aquifer deposit located in the central Rhine-Meuse delta (the Gorkum study area) in the Netherlands. A comparison is also made between the CMC and the SIS (sequential indicator simulation) model, which is based on Kriging and co-Kriging theories on the same deposit. The results show the potential applicability of the CMC model in reducing the uncertainty in geological configurations when a sufficient number of boreholes is available. Reproduction of the global geological features requires relatively few boreholes (in this case study, nine boreholes with 30-m spacing over a distance of 240 m). However, reproduction of the proportion of each state requires a relatively large number of boreholes (in this case study 31 boreholes with 8-m spacing over a distance of 240 m). It has been shown that variograms can be deceptive in modeling the spatial pattern and that they reflect only part of the complete spatial structure in the field. The use of transition probabilities via the CMC model provides a better alternative approach, because it uses multiple point information. Amro M. M. Elfeki on leave from Department of Irrigation and Hydraulics, Faculty of Engineering, Mansoura University, Mansoura, Egypt     

Modelling Potential Field Sources in the Gelibolu Peninsula (Western Turkey) Using a Markov Random Field Approach

In this study, a Markov Random Field (MRF) approach is used to locate source boundary positions which are difficult to identify from Bouguer gravity and magnetic maps. As a generalized form of Markov Chains, the MRF approach is an unsupervised statistical model based algorithm and is applied to the analysis of images, particularly in the detection of visual patterns or textures. Here, we present a dynamic programming based on the MRF approach for boundary detection of noisy and super-positioned potential anomalies, which are produced by various geological structures. In the MRF method, gravity and magnetic maps are considered as two-dimensional (2-D) images with a matrix composed of N₁ × N₂ pixels. Each pixel value of the matrix is optimized in real time with no a priori processing by using two parameter sets; average steering vector (θ) and quantization level (M). They carry information about the correlation of neighboring pixels and the locality of their connections. We have chosen MRF as a processing approach for geophysical data since it is an unsupervised, efficient model for image enhancement, border detection and separation of 2-D potential anomalies. The main benefit of MRF is that an average steering vector and a quantization level are enough in evaluation of the potential anomaly maps. We have compared the MRF method to noise implemented synthetic potential field anomalies. After satisfactory results were found, the method has been applied to gravity and magnetic anomaly maps of Gelibolu Peninsula in Western Turkey. Here, we have observed Anafartalar thrust fault and another parallel fault northwest of Anafartalar thrust fault. We have modeled a geological structure including a lateral fault, which results in a higher susceptibility and anomaly amplitude increment. We have shown that the MRF method is effective to detect the broad-scale geological structures in the Gelibolu Peninsula, and thus to delineate the complex tectonic structure of Gelibolu Peninsula.     

一种运用纹理和光谱特征消除投影差影响的建筑物变化检测方法

针对不同时期高分辨率遥感影像变化检测中城区建筑物因投影差差异所产生的误检测现象,提出了一种综合应用光谱和纹理特征的建筑物变化检测方法。以变化和未发生变化地物影像的散度作为可分性依据,首先对光谱差分影像在混合高斯密度模型下建模,并采用马尔可夫最小错误概率准则提取初始变化区域,往往含有错判的建筑物。然后将误判建筑物影像类和真实变化影像类构成训练集,通过引入多通道Gabor滤波器,提取训练集的纹理差分特征,并采用分类别PCA变换实施纹理差分特征的选择。最后对选择出的纹理差分特征依据高斯混合密度模型建模,并用马尔可夫最小错误概率提取真变化区域,即可去除光谱信息检测所产生的伪变化。试验表明,本文方法能够较好地解决建筑物变化的错判问题,提高了影像变化检测的精度。