斑节对虾(Penaeus　monodon)蛋白质的氨基酸分析     

梁亚全  孙谧  韩阿寿  高淳仁 《海洋科学》1995,(3)

１９９３年分析了不同大小斑节对虾肌肉中游离氨基酸含量和肌肉蛋白质 的氨基酸组成。虾体肌肉中有各种游离氨基酸存在，但数量很少，而且比例与肌肉 中结合氨基酸不一致。不同大小斑节对虾，其肌肉中氨基酸组成基本一样，不同的 是小虾的半胱氨酸、蛋氨酸含量比中虾、成虾的低；成虾的缬氨酸、异亮氨酸含量比 小虾、中虾的低，而酪氨酸、苯丙氨酸、天门冬氨酸较高。随着虾体的长大，甘氨酸、 丙氨酸的含量逐渐下降，而脯氨酸的含量升高。雌雄虾的氨基酸组成基本一致，只 是雄虾的甘氨酸含量偏低，精氨酸含量偏高。  相似文献   

Quantifying land use/land cover spatio-temporal landscape pattern dynamics from Hyperion using SVMs classifier and FRAGSTATS®     

Salim Lamine  Sudhir Kumar Singh  Szilárd Szabó  Nour El Islam Bachari  Prashant K. Srivastava 《国际地球制图》2018,33(8):862-878

This study aims to quantify the landscape spatio-temporal dynamics including Land Use/Land Cover (LULC) changes occurred in a typical Mediterranean ecosystem of high ecological and cultural significance in central Greece covering a period of 9 years (2001–2009). Herein, we examined the synergistic operation among Hyperion hyperspectral satellite imagery with Support Vector Machines, the FRAGSTATS^® landscape spatial analysis programme and Principal Component Analysis (PCA) for this purpose. The change analysis showed that notable changes reported in the experimental region during the studied period, particularly for certain LULC classes. The analysis of accuracy indices suggested that all the three classification techniques are performing satisfactorily with overall accuracy of 86.62, 91.67 and 89.26% in years 2001, 2004 and 2009, respectively. Results evidenced the requirement for taking measures to conserve this forest-dominated natural ecosystem from human-induced pressures and/or natural hazards occurred in the area. To our knowledge, this is the first study of its kind, demonstrating the Hyperion capability in quantifying LULC changes with landscape metrics using FRAGSTATS^® programme and PCA for understanding the land surface fragmentation characteristics and their changes. The suggested approach is robust and flexible enough to be expanded further to other regions. Findings of this research can be of special importance in the context of the launch of spaceborne hyperspectral sensors that are already planned to be placed in orbit as the NASA’s HyspIRI sensor and EnMAP.  相似文献   

Environmental fate and health exposures of the geogenic and anthropogenic contaminants in potable groundwater of Lower Ganga Basin,India     

《地学前缘(英文版)》2022,13(3):101365

The study evaluated the sources and controlling factors of the groundwater contaminants in an agroeconomic region of Lower Ganga Basin using principal component analysis (PCA), multivariable linear regressions (MLR), correlation analysis, and hierarchical cluster analysis, and evaluated the public health risks using the Latin Hypercube Sampling, goodness-of-fit statistics, Monte Carlo simulation and Sobol sensitivity analysis based on the 1000 samples collected in two sampling cycles (N = 1000). The study reveals that the dissolution of fluoride-bearing minerals and semi-arid climate regulate the fluoride concentrations (0.10–18.25 mg/L) in groundwater. Extensive application of inorganic nitrogenous fertilizers and livestock manure mainly contributed to elevated nitrate levels (up to 435.0 mg/L) in groundwater. The health risks analysis indicates that fluoride exposure is more prevalent in the residents of each age group than the nitrate and both contaminants exhibited higher non-carcinogenic health risks on the infant and child (minor) age groups compared to adolescents and adults. Based on the cokriging interpolation mapping, the minor residents of 17.88%–23.15% of the total area (4545.0 km²) are vulnerable to methemoglobinemia whereas the residents of all age-groups in 38.47%–44.45% of the total area are susceptible to mild to severe dental/skeletal fluorosis owing to consumption of untreated nitrate and fluoride enriched groundwater. The Sobol sensitivity indices revealed contaminant levels, groundwater intake rate and their collective effects are the most influential factors to pose potential health risks on the residents. Artificial recharge and rainwater harvesting practices should be adopted to improve the groundwater quality and the residents are advised to drink purified groundwater.  相似文献   

铁厂—石缸河锡钨矿带成矿模式及找矿潜力     

李泉  刘杰  杨洪  王玲  李志刚 《云南地质》2012,(1):36-38

矿床(点)定位于岩浆岩内外接触带及断裂构造较为发育的背斜核部。成矿带内有漕涧—志本山—瓦古等北北西向钨、锡、铅、锌、铜化探异常带,多与现有的钨锡矿床(点)对应良好;对形成构造控制高温热液矿床具有有利条件。  相似文献   

中国高铁网络结构特征及其组织模式   总被引：2，自引：4，他引：2  

钟业喜  郭卫东 《地理科学》2020,40(1):79-88

基于2018年高铁网络OD数据,运用社会网络分析方法从高铁网络、城市节点等方面探讨中国城市高铁网络结构特征及其地域组织模式,结果表明：①中国高铁网络整体较为松散,东北地区网络密度最高,东部和中部地区作为整体网络的中介作用明显;②重要高铁线路的“廊道效应”突出,中心度呈现出以京广、京沪和沪昆高铁组成的“三角旗状”空间格局并向两侧城市呈不规则递减的态势;③多层级网络识别出紧密关联高铁线路和四横四纵向八横八纵格局的转变;④高铁网络的地域组织形式表现为点-轴串珠模式、双核组团模式和极核模式,高铁网络的完善使组织模式由单核趋向于网络化转变。  相似文献   

CBERS-02B星数据融合方法评价   总被引：2，自引：0，他引：2  

于海洋  甘甫平  邱振戈 《国土资源遥感》2009,20(1):64-68

CBERS—02B星(以下简称02B星)多光谱CCD数据与全色HR数据空间分辨率相差较大，给图像融合带来一定困难。在对IHS变换、主成分分析变换、Brovey 变换、GS变换等融合算法分析的基础上，利用02B星数据进行了融合试验。通过对试验结果的目视评价与定量分析发现，PC变换和GS变换方法融合图像纹理信息较清晰，光谱保真度较好。在GS变换融合中，可利用02B星CCD相机第5波段模拟GS变换的低分辨率输入，融合结果统计值优于PC变换。  相似文献   

使用Python函数式编程进行空间回归分析     

孙宁  蒲英霞 《测绘软科学研究》2009,(3):66-69

针对使用传统的编程方式进行空间回归分析过于繁杂的问题,本文提出将Python函数式编程引入空间回归分析方法,分析和探讨脚本语言＋函数式编程方式在GIS数据分析中的推广应用前景。编程实践证明,采用Python函数式编程,结合既有的开源软件包,可以有效提高编程效率,减少代码量,将实践人员的注意力集中在问题本身。  相似文献   

全站仪水域面积测量及其精度分析     

谢旭晖  秦卫祥  潘松庆 《北京测绘》2009,(4):8-10

水域面积测量的特殊性，决定了采用传统的面积测量方法很难实时地得到水域的覆盖面积。全站仪提供的面积测量功能很好地弥补了这个缺憾并能够提供较高的成果精度。阐述了全站仪面积测量的原理与方法，对全站仪水域面积测量中误差的计算公式进行了讨论，并分析了水域面积的测量精度，得出了几点有益的结论。  相似文献   

Statistical analysis of soil variability in a humid forest landscape of Central Cameroon     

《International Journal of Applied Earth Observation and Geoinformation》2004,5(1):69-79

The quantitative evaluation of key factors of soil variability together with the spatial pattern of underlying variables are important steps in understanding the functioning of soilscapes. Fifteen physical and chemical variables describing 24 pedons were used to elucidate processes of soil differentiation in a humid forest environment in Southern Cameroon. Landscape positions delineated on the basis of remote-sensed imageries included flat convex summits (FCS), linear valley slopes (LVS), colluvial inland valleys (CIV), and alluvial floodplain. Ordination by principal component analysis (PCA) resulted in a three-factor model, which efficiently summarized the dataset explaining 81.4% of total soil variance (TSV). The pedogenetic factor of ferralitization emerged as the main factor accounting for 43.7% of TSV. Identified underlying processes included basic cation leaching, solum acidification, and in situ clay build up. Cation exchange properties as influenced by organic constituents and soil available P were the second and third most important factors associated with 26.7 and 11.4% of TSV respectively. Organic constituents and related biological processes had strong control on nutrient availability and cation-exchange properties, while soil available phosphorus (AP) showed a strong dependence on potential acidity and organic matter mineralization status. The analysis of variance highlighted significant differences for most soil properties across landscape position and soil depth except for organic carbon (OC), total nitrogen (TN), and total phosphorus. All the soils, however, have low pH, low basic cation saturation, and correlatively high exchangeable Al irrespective of their position in the landscape.  相似文献   

Novel Folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing     

《ISPRS Journal of Photogrammetry and Remote Sensing》2014

As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory requirement and low efficacy in dealing with large dimensional datasets such as Hyperspectral Imaging (HSI). Consequently, a novel Folded-PCA is proposed, where the spectral vector is folded into a matrix to allow the covariance matrix to be determined more efficiently. With this matrix-based representation, both global and local structures are extracted to provide additional information for data classification. Moreover, both the computational cost and the memory requirement have been significantly reduced. Using Support Vector Machine (SVM) for classification on two well-known HSI datasets and one Synthetic Aperture Radar (SAR) dataset in remote sensing, quantitative results are generated for objective evaluations. Comprehensive results have indicated that the proposed Folded-PCA approach not only outperforms the conventional PCA but also the baseline approach where the whole feature sets are used.  相似文献