经纬仪互瞄法在短边方位传递中的应用

讨论了短边测角的主要误差来源和影响,提出了短边方位传递的测量方法。最后通过一个实例,说明互瞄法方位传递可以达到很高的精度。     

沉积岩系互稀释混合元素丰度关系

二元混合成国岩石元素丰度（ｘ，ｙ）遵守分式线性函数定律:式中ａ，ｂ，ｃ，ｄ为丰度关系常数，它们只和岩系中两个已知岩石（１和２）中元素丰度（ｘ_１，ｙ_１；ｘ_２，ｙ_２）有关，并等于其镜像∑变换（混合变换）（ａ，ｂ，ｃ，ｄ）＝∑∑|ｘ_１，ｙ_１；ｘ_２，ｙ_２|（２）元素丰度关系常数中，如果ｂ与Ｃ之比值小于零时，元素丰度ｙ＝Ｘ呈互稀释混合关系。     

斜阶跃电流激励下多匝小回线瞬变电磁场延时特征

采用Duhamel积分对斜阶跃电流激励的瞬变电磁场进行直接计算,应用叠加原理得到了多匝小回线全域瞬变电磁响应.研究了多匝小回线的早、晚延时临界条件以及等磁矩单匝大回线与多匝小回线的延时和关断时间特征,分析了电阻率、厚度等参数变化时斜阶跃电流对层状模型瞬变响应的影响特征,最后采用实测数据验证了关断效应的校正效果.结果显示,回线边长越小或表层电阻率越大,瞬变响应越早离开早期并进入晚期.多匝小回线的关断时间远大于等磁矩的单匝大回线,但由前者激发的瞬变响应进入晚期的时间却大幅提前,更有利于晚期条件下各种理论公式的使用.斜阶跃影响校正结果显示,增加多匝小回线的匝数可以扩展反演深度的范围,减少匝数则可以提高反演电阻率的精确性;实测数据处理结果显示校正方法产生了一定的效果.本研究补充了多匝小回线瞬变电磁理论内容,研究结果可以为复杂环境中小尺寸多匝线圈的工作参数选择提供参考.     

基于互信息量的地震信号检测和初至提取方法

本文将现代信息科学中的重要基础理论——信息论引入到地震信号的分析和处理中,提出了一种利用互信息量检测地震信号并进行初至提取的方法,给出了该方法的基本原理和具体算法.计算结果表明,互信息量随滑动窗口移动的变化情况可以明确标示出待测地震信号的存在,通过提取互信息量的突变点或峰值点,能够有效拾取地震波的初至时刻.这种方法还可以特别针对非传统的地震信号,如连续随机信号、随机脉冲序列等进行处理.在这些信号条件下,往往信噪比很低,波形随传播距离发生较大变化,传统的信号检测方法效果不佳,而这种以随机信号检测为基础的互信息量探测方法具有很好的性能,很有发展前景.     

流体力与构造应力及其相互关系的探讨

构造应力是地壳构造运动最基本的力源之一, 地下流体及流体力在地壳中普遍存在并对构造运动产生重要影响。 该稿讨论了地下流体、 流体力和构造应力以及它们的概念与作用, 分析了流体力和构造应力的异同点: 构造应力是各种力源在地壳中产生变形而引起的应力的综合力, 流体力是流体存在和活动所产生的各种力的合力, 它们的力源主要来自地球内部, 内涵相互交叉, 大小不同, 但均能产生构造变动。     

Input Selection Based on Information Theory for Constructing Predictor Models of Solar and Geomagnetic Activity Indices

Various phenomena with solar origin and their mutual dependence must be studied in order to predict behaviors in solar – terrestrial system. Linear statistical methods prevalent in analyzing natural systems may not be able to detect nonlinear dependencies among solar and geomagnetic processes. When relations, whether linear or nonlinear, between indices and their changes over time are revealed, better predictions can be made through appropriate modeling techniques. Selection of nonredundant input variables to build suitable models for prediction of solar and geomagnetic activity is of utmost importance. Mutual information is a tool that is capable of capturing all dependencies for detecting nonlinear relations and selecting the best subset of input variables by means of an applicable algorithm that maximizes information about the output and minimizes the shared information between inputs. High generalization power and improved interpretability of the selected inputs are the consequences of this analysis.     

Figure–figure interaction between bodies having arbitrary shapes and mass distributions: a power series expansion approach

We derive an expression for the mutual gravitational force and torque of two bodies having arbitrary shapes and mass distributions, as an expansion in power series of their products of inertia and of the relative coordinates of their centres of mass. The absolute convergence of all the power series developed is rigorously demonstrated. The absence of transcendental functions makes this formalism suitable for fast numerical applications. The products of inertia used here are directly related to the spherical harmonics coefficients, and we provide a detailed analysis of this relationship.     

What is the difference between two maps? A remote senser’s view

In remote sensing, thematic map comparison is often undertaken on a per-pixel basis and based upon measures of classification agreement. Here, the degree of agreement between two thematic maps, and so the difference between the pair, was evaluated through visual and quantitative analyses for two scenarios. Quantitative assessments were based on basic site-specific measures of agreement that are used widely in accuracy assessment (e.g. the overall percentage of pixels with the same class label in each of the two maps and the kappa coefficient of agreement) as well as an information theory based approach that allows the degree of mutual or shared information to be assessed even if different classification schemes have been used to produce the maps. The results indicated that in the first map comparison scenario, focused on labelling, there was a fair degree of correspondence between the maps but with an overall difference in information content of ∼42%. In the second comparison scenario, focused on change in time, considerable change had occurred with a change in class label for ∼42% of the pixels. It was also apparent that global assessments masked local scale changes.     

Linking model design and application for transdisciplinary approaches in social-ecological systems

As global environmental change continues to accelerate and intensify, science and society are turning to transdisciplinary approaches to facilitate transitions to sustainability. Modeling is increasingly used as a technological tool to improve our understanding of social-ecological systems (SES), encourage collaboration and learning, and facilitate decision-making. This study improves our understanding of how SES models are designed and applied to address the rising challenges of global environmental change, using mountains as a representative system. We analyzed 74 peer-reviewed papers describing dynamic models of mountain SES, evaluating them according to characteristics such as the model purpose, data and model type, level of stakeholder involvement, and spatial extent/resolution. Slightly more than half the models in our analysis were participatory, yet only 21.6% of papers demonstrated any direct outreach to decision makers. We found that SES models tend to under-represent social datasets, with ethnographic data rarely incorporated. Modeling efforts in conditions of higher stakeholder diversity tend to have higher rates of decision support compared to situations where stakeholder diversity is absent or not addressed. We discuss our results through the lens of appropriate technology, drawing on the concepts of boundary objects and scalar devices from Science and Technology Studies. We propose four guiding principles to facilitate the development of SES models as appropriate technology for transdisciplinary applications: (1) increase diversity of stakeholders in SES model design and application for improved collaboration; (2) balance power dynamics among stakeholders by incorporating diverse knowledge and data types; (3) promote flexibility in model design; and (4) bridge gaps in decision support, learning, and communication. Creating SES models that are appropriate technology for transdisciplinary applications will require advanced planning, increased funding for and attention to the role of diverse data and knowledge, and stronger partnerships across disciplinary divides. Highly contextualized participatory modeling that embraces diversity in both data and actors appears poised to make strong contributions to the world’s most pressing environmental challenges.     

The Geography of Mutual Fund Assets

Mutual funds are the primary investment vehicle for individual retirement savings, but the spatial aspects of mutual fund investments have not been examined. This paper discusses the characteristics of the mutual fund industry and compares them to other financial industries. Previous studies of the financial industry and quaternary location theory are used to formulate three hypotheses predicting the distribution of mutual fund assets: (1) mutual fund assets will concentrate in the largest urban centers; (2) mutual fund assets will become increasingly concentrated in financial centers over the 1986-1996 period; and (3) the distribution of mutual fund assets will be similar to the distribution of other financial activities. Examination of mutual fund asset data from 1986 and 1996 did not fully support any of the three hypotheses. These findings suggest that the standard elements of quaternary location theory may need to be reevaluated.