主应力轴旋转情况下土的各向异性研究进展          下载免费PDF全文

董志华  高彦斌 《地震工程学报》2011,33(Z1)

从理论和实验两个方面对国内外主应力轴旋转情况下土的各向异性研究进行了对比和总结,并提出了一些研究建议。指出:在理论方面,应对屈服面方程采用应力分量表示的模型在三维空间里进行屈服面性状的描述,并考虑不同加载方向下屈服面的变化特性以及旋转硬化的问题;而实验方面,则应多以粘性土为研究对象,结合理论进行对加载方向变化时土体屈服面变化特性的实验研究以及旋转硬化规律的实验验证。  相似文献   

Environmental zonation across the Australian arid region based on long-term vegetation dynamics     

E.F. Lawley  M.M. LewisB. Ostendorf 《Journal of Arid Environments》2011,75(6):576-585

Zonation of landscapes is generally based on broad scale biophysical data, field surveys, imagery and expert knowledge. Such zonation represents a static view of the environment and does not reflect dynamics and function. Arid environments are however often highly dynamic, and spatial and temporal patterns may be expressed over long periods of time. These dynamics need to be understood for management. Our aim is to understand the dynamics and functional response of vegetation in the Australian arid zone, and use this to inform and potentially improve the currently employed stratification. Principal component analysis of 25 years of satellite imagery identified underlying factors influencing patterns of arid vegetation growth, and regions of similar long-term response. Dominant factors of variation were identified as the spatial distribution of total vegetation growth, seasonality of growth, magnitude of seasonal variability in growth, and regularity of variation in growth. Additional variation resulted from episodic vegetation growth of limited spatial extent and duration. Classes expressing these functional components were compared with the existing biogeographical regions, revealing agreement in some instances, and in other cases adding information previously not available. The study demonstrates a new approach to Australian landscape zonation that has potential for much wider application.  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   

Landform instability and land-use dynamics in tropical high mountains, Central Mexico     

GARCíA-ROMERO Arturo  ACEVES-QUESADA José Fernando  ARREDONDO-LEóN Carlos 《山地科学学报》2012,9(3):414-430

This investigation is an analysis of the influence of landform instability on the distribution of land-use dynamics in a hydrographical basin, located in the Mexican Volcanic Belt mountain range (central Mexico), currently affected by substantial changes in land use and deforestation. A landform map was produced, in addition to seven attribute maps - altimetry, drainage density, slope, relief energy, potential erosion, geology and tectonics - which were considered as factors for determining landform instability through Multi-criteria Evaluation Analysis. Likewise, the direction and rhythm of land-use dynamics were analyzed in four dates - between 1976 and 2000 - and cross tabulations were made between them, in order to analyze the trends and processes of land-use dynamics. Afterwards, the databases obtained were cross tabulated with the landform variables to derive areas, percentages and correlation indices. In the study area, high-instability landforms are associated with most ancient volcanic and sedimentary landforms, where high altitude, drainage density, slope and potential to develop gravitational and fluvial processes are the major factors favouring a land-use pattern, dominated by the conservation of extensive forest land, abandonment of human land use and regeneration of disturbed areas. In contrast, low-instability landforms correspond to alluvial plains and lava hills covered by pyroclasts, where low potential erosion to develop fluvial processes, added to water and soil availability and accessibility, have favoured a land-use pattern dominated by the expansion of agroforestry plantations and human settlements, showing a marked trend towards either intensification or permanence of the current land use and with little abandonment and regeneration.  相似文献   

尼罗罗非鱼(Oreochromis niloticus)不同月龄性状的主成分与判别分析   总被引：2，自引：0，他引：2  

唐瞻杨  肖俊  李莉萍  朱佳杰  罗永巨  黄姻  甘西 《海洋与湖沼》2012,43(2):288-293

采用主成分与判别分析的方法,研究尼罗罗非鱼形态性状的增长规律,并判定其最佳生长季节体格与月龄的关系。选择2—5月龄尼罗罗非鱼各100尾,测量体长、头长、躯干长、体高、尾柄长、尾柄高、体宽和体重共8个性状,并对其进行主成分与判别分析。主成分分析结果表明:尼罗罗非鱼各月龄的体型特征参数间均有不同程度的正相关(P<0.05),体重与体长、体高的相关性最显著;不同月龄尼罗罗非鱼性状的主成分有所不同,主成分1:2—5月龄均相同为增重因子;主成分2:2—4月龄均为尾柄因子,而5月龄是躯干因子;主成分3:2月龄是头部因子,3—4月龄是躯干因子,5月龄是尾柄因子。通过建立判别式来判断错过最佳生长季节尼罗罗非鱼的体格与大小相符的月龄,判别结果表明,总的判别准确率为99.25%,其中2—4月龄尼罗罗非鱼的判别准确率为100%。  相似文献   

发达国家禁用(限用)含磷洗衣粉的措施   总被引：7，自引：2，他引：7  

舒金华  黄文钰  高锡芸  吴延根 《湖泊科学》1998,10(1):90-96

于１９９５年４月－１９９６年１月对杭州西湖沉积物的若干物理,化学性状作了研究,沉降试验表明,沉积物中粒径在０．０６７－０．００２９mm之间的颗粒占沉积物总量的８０．８％,０．００２９mm以下的占４．３％,基本属于粉砂级范围,沉积物受扰动后再悬浮会明显影响水体的透明度,沉积物处于中性（ＰＨ＝６．６０－７．４０）和低厌氧状态（ＥＨ＝－３ｍＶ至１６７ｍＶ）,界面溶解氧含量在１mg／Ｌ左右,沉积物处于中性（ＰＨ  相似文献   

陕西大理河流域土地利用/覆被变化的水文效应   总被引：5，自引：3，他引：2  

李丽娟  姜德娟  杨俊伟  李九一 《地理研究》2010,29(7):1232-1242

近年来,土地利用/覆被变化的水文效应研究已成为国际的前沿和重点。在大理河流域,LUCC(包括水土保持措施)对水循环和水量平衡产生了深远影响,该流域LUCC水文效应的研究势在必行。根据研究区1990年代三期土地利用数据分析了LUCC的时空变化特征,采用特征变量时间序列法及降水-径流模型对LUCC水文效应进行了研究。结果表明:流域土地利用类型以耕地和草地为主,近10年来,耕地和草地面积有所减少,而林地和建设用地面积持续增加;流域年径流和月径流演化过程均表现出明显的下降趋势;LUCC及水土保持具有减少流域年径流、汛期流量以及增加枯季流量的作用,相对于降水因素,人类活动对流域水文的作用占主导地位;在1990~2000年期间,主要由LUCC引起的年均径流减少量达2616.6×10⁴ m³,占该期间实测减水总量的62.19%。  相似文献   

聚类分析成图新方法   总被引：1，自引：1，他引：0       下载免费PDF全文

赵应权  张刘平 《地球物理学进展》2009,24(6):2287-2292

常规统计分析软件在聚类分析谱系图的自动成图上,受算法和成图方式局限,成图质量较低,有时出现偏差,程序可读性和可操作性较差,硬件资源占用率偏高.虽前人对此进行了一定的研究,并提出了链式算法,但缺少成图的实施方法.本文运用模块化的软件设计思想,在链式算法的基础上,以循环迭代方式,改善了样品纵向排序方式,并用顺序归并标记的方法提取了谱系图中各线段的顶点数据,大幅简化了谱系图的绘制.解决了用字符代替线段、并类线头无法置中等问题.使得成图在质量、速度上得到了较大的提升,对硬件资源的占用率也大大降低.  相似文献   

Bootstrap based artificial neural network (BANN) analysis for hierarchical prediction of monthly runoff in Upper Damodar Valley Catchment   总被引：1，自引：0，他引：1  

S.K. Sharma  K.N. Tiwari   《Journal of Hydrology》2009,374(3-4):209-222

Estimation of runoff is a prerequisite for many applications involving conservation and management of water resources. This study is undertaken in the Upper Damodar Valley Catchment (UDVC) having a drainage area of 17513.08 km² for prediction of monthly runoff. Thirty one microwatersheds and 15 sub-watersheds were selected from a total of 716 microwatersheds in the catchment area for this study. The feasibility of using different soil attributes (particle size distribution, organic matter content and apparent density), topographic attributes (primary, secondary and compound), geomorphologic attributes (basin, relief and network indices) and vegetation attribute as Normalized Difference Vegetation Index (NDVI), on prediction of monthly runoff were explored in this study. Principal Component Analysis (PCA) was applied to minimize the data redundancy of the input variables. Ten significant input variables namely; watershed length (km), elongation ratio, bifurcation ratio, area ratio, coarse sand (%), fine sand (%), elevation (m), slope (°), profile curvature (rad/m) and NDVI were selected. The selected input variables were added in hierarchy with monthly rainfall (mm) as inputs for prediction of monthly runoff (mm) using Bootstrap based artificial neural networks (BANN). The performance of the models was tested using Spearman’s correlation coefficient (r), coefficient of efficiency (COE), Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). Best performance was observed for model with monthly rainfall, slope, coarse sand, bifurcation ratio and Normalized Difference Vegetation Index (NDVI) as inputs (r = 0.925 and COE = 0.839). Increase in number of input variables did not necessarily yield better performances of the BANN models. Selection of relevant inputs and their combinations were found to be key elements in determining the performance of BANN models. Annual runoff map was generated for all the microwatersheds utilizing the weights of the best performing BANN model. This study reveals that the specific combinations of soil, topography, geomorphology and vegetation inputs can be utilized for better prediction of monthly runoff.  相似文献   

地磁日变与地震活动关系的主成分分析——以日本岩手县北部6.1级地震为例   总被引：13，自引：7，他引：6       下载免费PDF全文

韩鹏  黄清华  修济刚 《地球物理学报》2009,52(6):1556-1563

本文提出了将主成分分析方法和地磁日变分析方法相结合以从较强干扰背景中提取相对较弱地震地磁信息的一种新思路.具体以1998年日本岩手县北部6.1级地震为例,选用三个地磁观测台资料进行研究.利用调和分析方法得到了各台基于多次谐波拟合的地磁日变曲线,在此基础上对各台的地磁日变形态进行了研究,发现距震中最近地磁台的日变形态在地震前大约两周出现了明显的异常,而其他两个距离震中相对较远的观测台日变形态基本正常.最后,将主成分分析方法应用于上述拟合地磁日变结果,得到了各主成分及其所占能量比的时间变化,结果表明在地震前两周左右第二主成分所占能量比显著增加,而且距离震中最近的台站的上述变化明显高于另两个较远的台站.上述结果表明地震前两周左右检测到的地磁日变异常可能与震中附近地下电阻率的变化或孕震过程中产生的电磁信号存在一定关系,相关研究结果有助于加深对地震电磁现象的认识和理解.  相似文献