兰州台地磁观测常见故障的判断与排除

在地磁观测中,当绝对观测磁力仪,相对记录磁变仪,辅助设备等发生故障以及观测所得不准或其它问题时,将如何快速判别及排除,作了较详细的叙述。     

On the form factor scale effect

Four geosim families, with fully available resistance test results, have been re-analyzed to check the possible scale effect on the form factor. The form factor determined by Prohaska's method, with exponent n=4 and ITTC'57 correlation line, increases with the model size in all four cases analyzed. Because of its high correlation coefficient, a linear variation of the form factor with the scale is assumed. It is possible to have a first estimation of the ship's form factor extrapolating for λ=1 in the regression line. Form factor Reynolds number dependency will always be associated with a friction line. Using the ITTC'57 correlation line, the following equation K_S−K_M=1.91·(λ−1)·10⁻³ can be used to estimate the scale effect on the form factor. Calculations carried out, for axisymetric bodies, with some CFD codes are in good agreement with the experimental findings.     

中国土地利用/土地覆盖的多尺度空间分布特征分析

研究了我国土地利用影响因素及其空间规模相关性,采用数理统计与ＧＩＳ手段从多个规模尺度上探讨了我国土地利用的空间分布特征。其结果对全国以及各级政府进行土地利用规划、制定相应的土地开发与利用政策等具有一定的参考意义。     

区域土壤侵蚀定量研究的国内外进展

由于水土保持宏观决策的需要、土壤侵蚀学科自身的进步和全球变化研究的促进,过去的10多年来,国内外研究者对区域尺度土壤侵蚀研究给予了高度重视。已经开展的主要研究包括:全球和区域（包括国家尺度）土壤侵蚀调查、区域土壤侵蚀过程和尺度效应、区域土壤侵蚀因子和区域土壤侵蚀模型等。将区域土壤侵蚀作为现代陆地地表过程的一部分,充分考虑全球变化的影响,集成土壤侵蚀研究成果与遥感和GIS技术,开发分布式区域土壤侵蚀模型,成为区域土壤侵蚀定量评价研究的基本趋势。在对国内外区域土壤侵蚀定量评价研究评述的基础上,提出我国近期在区域土壤侵蚀方面研究的重点问题为：区域土壤侵蚀过程及其尺度效应的量化描述、区域土壤侵蚀模型开发、区域土壤侵蚀动态模拟与趋势预测、区域土壤侵蚀与全球变化关系研究和区域土壤侵蚀数据处理与管理方法。     

中国土壤有机质含量变异性与空间尺度的关系

以中国土种志资料为基础,分析了土壤有机质含量变异与空间尺度的关系及土类内和土类间的变异程度,探讨了不同空间尺度单元下,土壤有机质平均含量与土壤性质的相关性。结果表明,以土壤剖面为单元,随着土壤剖面数的增加,土壤有机质含量的变异系数增大;行政区域尺度单元内部土壤有机质变异程度大于单元间土壤有机质含量的变异程度。以土壤分类单元为空间单元,土类内的有机质含量变异程度小于土类间的变异程度。随着统计单元空间尺度的增大,土壤有机质含量与土壤性质之间的相关性减弱。因此,采用网格法或行政区划分空间区域,获得空间区域单元内土壤有机质含量或贮量的精确估算需要较多的剖面,但外推至数据不足的空间区域时,估算的不确定较小;采用土壤分类单元为空间区域单元,结果则相反。     

不同尺度地形的SH波频率域响应特征研究

地形是影响实际地震记录的一个重要因素,理论计算已证明地形影响地震波的走时、能量、震相、波形等特征,同时地形也是产生尾波信号的重要原因.复杂且具有多尺度成分的地形对地震波传播的影响不仅与地震信号的频率有关,与其自身尺度成分也表现出强烈的依赖关系. 本文利用局域离散波数法模拟计算了不同尺度地形SH波的频率响应,得到地形尺度与频率之间似共振的响应关系. 这一关系可以更好地解释复杂地形对不同频率地震波传播的影响方式,同时可以指导数值模拟模型的构建,在关注的频率范围内合理取舍构造尺度成分,达到以最小的计算量得到最大的计算效益.     

中国区域年代地层研究取得重要进展

近10余年来,特别是2000年召开第三届地层会议后,中国年代地层研究得到很快发展。首先,在全国地层委员会主持下,经各断代工作组专家们的共同努力,编制完成了《中国区域年代地层（地质年代）表》,系统建立了从震旦系至第四系中共102个阶（其中包括52个陆相地层区的阶）和新建3个系级单位。从2001年开始,在中国地质调查局的大力支持下,由全国地层委员会主持,组织全国知名地质科研院所、高校和部分地质调查院的专家,围绕中国区域年代地层表,开展了系统的建阶研究。5年来,共涉及45个阶,9个界线层型和2个新建系及2个统级单位的研究,取得重要进展。先后已有4个全球界线层型（GSSPs）被国际地质科学联合会批准建立在中国,还有3～4个全球界线层型正待国际地质学科学联合会批准建立在中国,另有3～4个界线层型剖面有望争取成为全球的界线层型。其他研究所涉及到的阶、系、统等单位,也有明显进展,成熟度明显提高,为《中国区域年代地层（地质年代）表》的广泛应用奠定了重要基础。     

Does scale exist? An epistemological scale continuum for complex human-environment systems

Scale pervades interdisciplinary research on human-environment systems that exhibit hallmarks of complexity such as path dependence, nonlinearity, and surprise. Although scale concepts are woven through the data, methodology, and theory of human-environment research, the question remains: does scale exist? More broadly, can a single definition of scale suffice for human-environment systems? The meaning and use of scale is contested across the social, natural, and information sciences. Given that the study of human-environment systems spans many of these disciplines, specific research problems inherit a broad range of conflicting scale concepts. This paper proposes an epistemological scale continuum that arrays scale perspectives from the realist contention that there are natural scales independent of observers through to the constructionist view that scale is subjective and socially mediated. As seen in biocomplexity and human-environment research more broadly, this scale continuum establishes that scale is not a single measure or object of study, nor is any single definition of scale sufficient for human-environment systems. Viewpoints and tensions among scale epistemologies also suggest several general principles for using scale effectively in human-environment research.     

Vernacular heritage and evolving environmental policy in Australia: Lessons from the Murray–Darling Outreach Project

The interface between environmentalism and neoliberalism in industrialised nations is dynamic and evolving with each of these significant socio-political movements exerting influence on the other. In the context of Australian environmental policy, ideas of heritage, sense of place and belonging are increasingly invoked to support the current policy emphasis on the role of regional communities for realising goals for land and water conservation and environmental restoration. To explore the broader meaning and consequences of these developments, we focus on the manner in which ideas of heritage are employed and evoked within the Murray–Darling Outreach Project, a collaboration between the Murray–Darling Basin Commission, a key natural resource management agency, and the National Museum of Australia. The Murray–Darling Outreach Project has the aim of increasing community involvement in local environmental issues by promoting ideas of vernacular heritage.     

Using pan-sharpened high resolution satellite data to improve impervious surfaces estimation

Impervious surface is an important environmental and socio-economic indicator for numerous urban studies. While a large number of researches have been conducted to estimate the area and distribution of impervious surface from satellite data, the accuracy for impervious surface estimation (ISE) is insufficient due to high diversity of urban land cover types. This study evaluated the use of panchromatic (PAN) data in very high resolution satellite image for improving the accuracy of ISE by various pan-sharpening approaches, with a further comprehensive analysis of its scale effects. Three benchmark pan-sharpening approaches, Gram-Schmidt (GS), PANSHARP and principal component analysis (PCA) were applied to WorldView-2 in three spots of Hong Kong. The on-screen digitization were carried out based on Google Map and the results were viewed as referenced impervious surfaces. The referenced impervious surfaces and the ISE results were then re-scaled to various spatial resolutions to obtain the percentage of impervious surfaces. The correlation coefficient (CC) and root mean square error (RMSE) were adopted as the quantitative indicator to assess the accuracy. The accuracy differences between three research areas were further illustrated by the average local variance (ALV) which was used for landscape pattern analysis. The experimental results suggested that 1) three research regions have various landscape patterns; 2) ISE accuracy extracted from pan-sharpened data was better than ISE from original multispectral (MS) data; and 3) this improvement has a noticeable scale effects with various resolutions. The improvement was reduced slightly as the resolution became coarser.