基于SuperMap林业地理信息平台的设计与实现

为了满足当前基层林场生产任务和业务管理的实际需求,本文针对其生产中面临着的一些问题,组件式GIS-SuperMa PObjects和林业领域模型库为基础,建立林业地理信息系统平台(Superma PForest Star)的思想,实现森林资源的信息化管理.林业地理信息系统平台包括森林资源数据管理功能模块、造林决策支持模...     

A Methodology for Clustering Lakes in Alberta on the basis of Water Quality Parameters

In this study, a methodology for clustering 18 lakes in Alberta, Canada using the data of 19 water quality parameters for a period of 11 years (1988–2002) is presented. The methods consist of (i) principal component analysis (PCA) to determine the dominant water quality parameters, (ii) cluster analysis techniques to develop the characteristics of the clusters, and (iii) pattern‐match lakes to determine the appropriate cluster for each of the lakes. The PCA revealed that three principal components (PCs) were able to explain ～88% of the variability and the dominant water quality parameters were total dissolved solids, total phosphorus, and chlorophyll‐a. We obtained five clusters for the period 1994–1997 by using the dominant parameters with water quality deteriorating as the cluster number increased from 1 to 5. Upon matching cluster patterns with the entire dataset, it was observed that some of the lakes belonged to the same cluster all the time (e.g., cluster 1 for lakes Elkwater, Gregg, and Jarvis; cluster 3 for Sturgeon; cluster 4 for Moonshine; and cluster 5 for Saskatoon), while others changed with time. This methodology could be applied in other regions of the world to identify the most suitable source waters and prioritize their management. It could be helpful to analyze the natural controlling processes, pollution types, impact of seasonal changes and overall quality of source waters. This methodology could be used for monitoring water bodies in a cost effective and efficient way by sampling only less number of dominant parameters instead of using a large set of parameters.     

Determination of gravity anomaly at sea level from inversion of satellite gravity gradiometric data

Gravity gradients can be used to determine the local gravity field of the Earth. This paper investigates downward continuation of all elements of the disturbing gravitational tensor at satellite level using the second-order partial derivatives of the extended Stokes formula in the local-north oriented frame to determine the gravity anomaly at sea level. It considers the inversion of each gradient separately as well as their joint inversion. Numerical studies show that the gradients T_zz, T_xx, T_yy and T_xz have similar capability of being continued downward to sea level in the presence of white noise, while the gradient T_yz is considerably worse than the others. The bias-corrected joint inversion process shows the possibility of recovering the gravity anomaly with 1 mGal accuracy. Variance component estimation is also tested to update the observation weights in the joint inversion.     

Three‐dimensional modal pushover analysis of buildings subjected to two components of ground motion,including its evaluation for tall buildings

The modal pushover analysis (MPA) procedure, presently restricted to one horizontal component of ground motion, is extended to three‐dimensional analysis of buildings—symmetric or unsymmetric in plan—subjected to two horizontal components of ground motion, simultaneously. Also presented is a variant of this method, called the practical modal pushover analysis (PMPA) procedure, which estimates seismic demands directly from the earthquake response (or design) spectrum. Its accuracy in estimating seismic demands for very tall buildings is evaluated, demonstrating that for nonlinear systems this procedure is almost as accurate as the response spectrum analysis procedure is for linear systems. Thus, for practical applications, the PMPA procedure offers an attractive alternative whereby seismic demands can be estimated directly from the (elastic) design spectrum, thus avoiding the complications of selecting and scaling ground motions for nonlinear response history analysis. Copyright © 2010 John Wiley & Sons, Ltd.     

基于GIS的雷电数据可视化地图组件设计与实现

雷电发生发展于地理空间,具有明显的时空特性,因此在地理信息平台的支持下进行各种雷电数据空间及其属性特征分析具有重要的意义。在ArcEngine的基础上,设计研发了雷电数据可视化地图组件（Thunder Map）,按照数据定义层、数据功能层以及地图UI层的3层逻辑结构,实现了各种雷电相关数据基于地理信息平台的可视化表达,并提供了相关数据管理与功能分析的操作接口,为基于地理空间信息的雷电数据处理提供可视化的功能组件支持。     

松辽盆地十屋断陷十屋地区营城组物源体系探讨

在综合分析碎屑颗粒组分、重矿物组合、砂砾岩展布和地层倾角测井等资料的基础上,探讨了十屋断陷十屋地区营城组沉积时期的物源体系特征和分布。碎屑颗粒组分和重矿物分析能指示物源区母岩类型和碎屑物质的搬运方向,砂砾岩展布能指明了碎屑物质的搬运方向和搬运途径,地层倾角测井则指示了古水流的方向。结果表明,十屋地区营城组存在三大物源体...     

我国主要农耕区水稻土有机碳含量分布及影响因素研究

水稻土是我国主要的耕作土壤之一,水稻土有机碳变化与全球气候变化息息相关,因此研究我国主要农耕区水稻土有机碳含量分布特征及影响因素具有重要的现实意义。本文基于全国多目标地球化学调查1：250000土壤数据库,以行政区划分析了水稻土有机碳分布规律,从土壤pH值、年均气温、年均降雨量、耕作方式等角度探讨了其对水稻土有机碳含量...     

我国几种常见润滑油的指纹分析

采用气相色谱／质谱方法（GC／MS）对7种常见润滑油中的生物标志化合物（正构烷烃、姥鲛烷、植烷、甾烷、萜烷、多环芳烃）进行定性分析,并基于其生物标志化舍物指纹信息进行了多元统计分析。结果表明,润滑油的气相色谱图中不可分辨的混合物（UCM）具有明显优势;润滑油中含有丰富的甾、萜烷类稠环生物标志化合物,仅含有非常少量的饱和...     

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

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.     

Richter magnitudes and site corrections using vertical component seismograms

The definition of the Richter Ml magnitude scale is in terms of seismic wave horizontal components recorded on Wood‐Anderson seismographs. However, at many seismograph sites only the vertical component is available, and at sedimentary sites horizontal components are usually significantly amplified, causing complications in the assignment of a magnitude to an earthquake. Because each earthquake can be recorded at a different subset of sites, each subset having a different combination of site amplifications, the assignment of a magnitude is dependent upon the seismograph site combination that records a particular earthquake. Although there is some amplification of the vertical component at sedimentary foundation sites, it is shown that a reduced spread of values of Ml magnitude, consistent with low amplification (bedrock) site magnitudes, can be achieved using the vertical component to compute the magnitude and adding 0.2 to adjust to the Ml magnitude scale (defined in terms of the horizontal components). This presupposes that the sites used by Richter were on bedrock; however, even if this is incorrect, it appears to be a necessary precondition for the world‐wide unification of the Richter scale along with defining the true gain of Wood‐Anderson seismographs rather than accepting the design gain of 2800. Site corrections would be smaller than those established using the horizontal components. Taking into account the use of only the vertical component in the calculation of Ml and including the 0.2 adjustment to the equivalent horizontal component derived magnitude, the expression for the calculation of magnitudes in the Victoria region becomes:

Ml = logA_z ‐ logS_z + 0.9 + logR + 0.0056Re^‐0.0013R

where A_z is the equivalent Wood‐Anderson seismograph displacement amplitude, S_z is the site amplification (vertical component) and R is the hypocentral distance.