输电线路杆塔危岩威胁等级评价方法研究

从影响滚石击中塔体时的能量以及塔体被滚石击中的可能性出发,提出现场评价危岩对塔体威胁等级的方法。该方法考虑了边坡形状、塔位与山体的相对位置、坡上危岩的数量和大小以及坡脚滚石的数量和大小等因素。当边坡总体坡度相同时,上缓下陡的折线边坡,滚石落地速度最大;而内凹的曲线边坡,滚石落地速度最小。位于山体内凹一侧的塔位,塔体受危岩威胁最大,而位于山体凸出一侧的塔位,受危岩威胁最小。     

地形畸变对偶极-偶极电阻率测深拟断面图的影响

偶极－偶极剖面方法是一种非常流行的物探方法,但就地形对该方法的实质性影响及修正研究得比较少.我们就几种典型的地形畸变情况进行了正演计算,并绘制了拟断面图.通过对这些图形分析,可以看到在地形畸变处的拟断面图不能反映地下地质体的情况,且有效拟断面图是不连续的,需要分段处理,分级解释.     

64层螺旋CT评估冠状动脉粥样硬化斑块的临床意义

目的:探讨64层螺旋CT血管造影评估冠状动脉粥样硬化斑块的临床应用价值。方法:回顾性收集2009年6月至9月62例冠心病患者,根据临床表现分为二组:急性冠脉综合征组和稳定型心绞痛组。经64层螺旋CT血管造影诊断,选择由动脉粥样硬化斑块引起的冠状动脉狭窄≥50%的血管100个节段共100个斑块,通过在轴位、曲面重建、最大密度投影、三维最大密度投影3D-MIP、容积再现5种图像上鉴别不同类型斑块,并测量斑块的CT值。结果:100个粥样斑块以Schroeder的两种评估斑块CT值方法作标准,两种标准的3种斑块分型例数高度一致,同一性100%;在急性冠脉综合征组中非钙化斑块的检出率明显高于稳定型心绞痛组,而稳定型心绞痛组钙化斑块检出率明显高于急性冠脉综合征组,两组在统计学上有显著差别(P0.01)。结论:64层螺旋CT可依据斑块的CT值不同判断斑块的性质,可以早期检测不稳定斑块,非钙化斑块与冠心病危险性具有明显的正相关性。     

Geophysical implications of Izu–Bonin mantle wedge hydration from chemical geodynamic modeling

Using two-dimensional dynamic models of the Northern Izu–Bonin (NIB) subduction zone, we show that a particular localized low-viscosity (η_LV =  3.3 × 10¹⁹ − 4.0 × 10²⁰ Pa s), low-density (Δρ ∼ −10 kg/m³ relative to ambient mantle) geometry within the wedge is required to match surface observations of topography, gravity, and geoid anomalies. The hydration structure resulting in this low-viscosity, low-density geometry develops due to fluid release into the wedge within a depth interval from 150 to 350 km and is consistent with results from coupled geochemical and geodynamic modeling of the NIB subduction system and from previous uncoupled models of the wedge beneath the Japan arcs. The source of the fluids can be either subducting lithospheric serpentinite or stable hydrous phases in the wedge such as serpentine or chlorite. On the basis of this modeling, predictions can be made as to the specific low-viscosity geometries associated with geophysical surface observables for other subduction zones based on regional subduction parameters such as subducting slab age.     

How green was my valley: forest canopy density in relation to topography and anthropogenic effects in Manipur valley,India

Forest canopy density (FCD) is a major factor in the evaluation of forest status and is an important indicator of possible management interventions. The study uses the FCD model with Landsat TM and Landsat 8 OLI images to assess canopy density in India’s Manipur valley and surrounding hills. Normalized difference built-up index (NDBI) was used to extract built-up areas and population density was retrieved from LandScan data, while elevation and slope were obtained from ASTER DEMs (30 m). Four types of canopy density were delineated with crown cover above 71%, 41–70%, 11–40%, below 10% and areas with no canopy cover, that is 0%. A sharp decline in forest area occurred during 1989–2016 at a rate of loss of 2.9 % year-1 with an average rate of deforestation of 3051 ha year-1. Dense forests exhibited remarkable degradation, especially towards the central valley. The variation in the topographical (elevation and slope) gradient resulted in significant differences in the canopy density over the study area barring some hill slopes. Population pressure and various developmental activities in recent decades led to forest degradation in this fragile yet rich Eastern Himalaya biodiversity hotspot.     

Hypsographic Demography Across Scale

The typical framework for assessing human population distribution is across a flat, two-dimensional landscape. We alter this perspective by examining population distribution with respect to a third dimension, elevation. This alternative framework, termed hypsographic demography, conceptually provides a more complete visualization and understanding of population distribution. We apply hypsographic demography to North Carolina from the scale of the entire state to streams of different sizes. At the state scale, elevation and population are generally inversely correlated. The flat coastal plain contains the majority of the population at low elevations, whereas higher elevations contain smaller populations due to steep topography, which limits development. At the county scale, the historic location and expansion of cities was more closely correlated with observed patterns of hypsographic demography than elevation or topography. At the scale of the stream, the influence of topography on hypsographic demographics gains importance where topography limits the land available to develop. We use this approach to illustrate how changing the perspective for viewing population distribution can be applied to floodplain policy.     

三江并流区云南贡山片植被景观类型分布特征

以三江并流区云南贡山片为例,以Landsat ETM+影像为数据源,基于3S技术进行植被景观制图,分析景观类型的分布特征。结果表明:1.研究区是典型的高山峡谷地区,海拔3 000~4 000 m的区域占总面积近一半,坡度25°以上的山地面积占84.82%;景观类型分布受垂直空间分异主导;河流、河漫滩和湖泊等景观主要分布在平缓地段,自然植被景观多分布在25°~45°的陡坡上,人工植被景观分布的坡度范围相对较缓;自然植被景观在各坡向上的分布较为均匀;人工植被景观及积雪/冰川景观、岩石景观等分布则体现出一定的空间分异;2.山地森林植被构成研究区景观的基质类型;由于植被景观的垂直分异,构成基底的各类景观类型的优势度随海拔变化,河谷地段的中山湿性常绿阔叶林、中山-亚高山的铁杉-常绿阔叶混交林、亚高山-高山的云冷杉/落叶松林优势度较高,高山-亚高山以杜鹃灌丛为优势景观类型;3.从斑块粒度上看,小斑块数量最多,占总斑块数的80.87%,中斑块占11.36%,其余均在3%以下;优势自然景观类型具有较大的巨斑块数;巨斑块面积比例最大,达到68.99%,其余斑块大小等级的分布面积比例在3%~9%之间。     

Integration of spatial data in vector and raster formats in a geographic information system environment

This paper examines the common methods for converting spatial data sets between vector and raster formats and presents the results of extensive benchmark testing of these procedures. The tests performed are unique in this field since: (1) they used both synthetic and real test data sets; (2) they measured conversion quality, accuracy and efficiency, not just how fast the procedure operated; and (3) they were conducted in a generic geographic information system (GIS) environment without the aid of specialized computer hardware. The results show that the best overall techniques are the ones which take advantage of spatial relationships inherent in the data sets. These were the Scan Line algorithm for vector to raster conversions and the Boundary Linking algorithm for raster to vector conversions.     

A comparative analysis of DEM‐based models to estimate the solar radiation in mountainous terrain

Daily solar radiation estimates of four up‐to‐date solar radiation models (Solar Analyst, r.sun, SRAD and Solei‐32), based on a digital elevation model (DEM), have been evaluated and compared in a Mediterranean environment characterized by a complex topography. The models' estimates were evaluated against 40 days of radiometric data collected in 14 stations. Analyzed sky conditions ranged from completely overcast conditions to clear skies. Additionally, the role of the spatial resolution of the DEM has been evaluated through the use of two different resolutions: 20 and 100 m. Results showed that, under clear‐sky conditions, the daily solar radiation variability in the study area may be reasonably estimated with mean bias errors under 10% and root mean square error values of around 15%. On the other hand, results proved that the reliability of the estimates substantially decreases under overcast conditions for some of the solar radiation models. Regarding the role of the DEM spatial resolution, results suggested that the reliability of the estimates for complex topography areas under clear‐sky conditions improves using a higher spatial resolution.     

Measuring the significance of a divide to local drainage patterns

This article presents a framework for estimating a new topographic attribute derived from digital elevation models (DEMs) called maximum branch length (B _max). Branch length is defined as the distance travelled along a flow path initiated at one grid cell to the confluence with the flow path passing through a second cell. B _max is the longest branch length measured for a grid cell and its eight neighbours. The index provides a physically meaningful method for assessing the relative significance of drainage divides to the dispersion of materials and energy across a landscape, that is, it is a measure of ‘divide size’. B _max is particularly useful for studying divide network structure, for mapping drainage divides, and in landform classification applications. Sensitivity analyses were performed to evaluate the robustness of estimates of B _max to the algorithm used to estimate flow lengths and the prevalence of edge effects resulting from inadequate DEM extent. The findings suggest that the index is insensitive to the specific flow algorithm used but that edge effects can result in significant underestimation along major divides. Edge contamination can, however, be avoided by using an appropriately extensive DEM.