基于高分辨率地形数据的冲洪积扇特征提取与演化模式讨论——以海原断裂带老虎山地区冲洪积扇为例

干旱—半干旱地区第四纪冲洪积扇蕴含着丰富的气候与构造信息,划分并描述不同时期的冲洪积扇单元及其地貌特征是开展第四纪冲洪积扇研究的重要步骤。野外考察等传统方法是对冲洪积扇进行描述与填图的最重要的途径之一,但在此之前对冲洪积扇进行大范围的自动化地貌初步分级则可为地貌填图提供指导,从而提高后续的野外工作效率。文中借助航空影像生成的0. 2m分辨率数字高程模型提取老虎山地区各冲洪积扇单元的起伏度与粗糙度,实现对各冲洪积扇单元的分类与差异探讨。研究表明,随着提取窗口尺寸的增大,粗糙度迅速增大,而当提取窗口增大到一定程度后粗糙度过渡为缓慢增大并达到稳定的状态。在尺寸为8m×8m的滑动取样窗口下,起伏度与粗糙度随着冲洪积扇年龄的增加,呈现先减小而后增大的趋势,这恰好反映了冲洪积扇的动态演化过程。     

Occurrence,evolution and ice content of ice-debris complexes in the Ak-Shiirak,Central Tien Shan revealed by geophysical and remotely-sensed investigations

Rock glaciers and large ice-debris complexes are common in many mountain ranges and are especially prominent in semi-arid mountains such as the Andes or the Tien Shan. These features contain a significant amount of ice but their occurrence and evolution are not well known. Here, we present an inventory of the ice-debris complexes for the Ak-Shiirak, Tien Shan's second largest glacierised massif, and a holistic methodology to investigate two characteristic and large ice-debris complexes in detail based on field investigations and remote sensing analysis using Sentinel-1 SAR data, 1964 Corona and recent high resolution stereo images. Overall, we found 74 rock glaciers and ice-debris complexes covering an area of 11.2 km² (3.2% of the glacier coverage) with a mean elevation of about 3950 m asl. Most of the complexes are located south-east of the main ridge of Ak-Shiirak. Ground penetrating radar (GPR) measurements reveal high ice content with the occurrence of massif debris-covered dead-ice bodies in the parts within the Little Ice Age glacier extent. These parts showed significant surface lowering, in some places exceeding 20 m between 1964 and 2015. The periglacial parts are characterised by complex rock glaciers of different ages. These rock glaciers could be remnants of debris-covered ice located in permafrost conditions. They show stable surface elevations with no or only very low surface movement. However, the characteristics of the fronts of most rock glacier parts indicate slight activity and elevation gains at the fronts slight advances. GPR data indicated less ice content and slanting layers which coincide with the ridges and furrows and could mainly be formed by glacier advances under permafrost conditions. Overall, the ice content is decreasing from the upper to the lower part of the ice-debris complexes. Hence, these complexes, and especially the glacier-affected parts, should be considered when assessing the hydrological impacts of climate change. © 2018 John Wiley & Sons, Ltd.     

黄土斜坡动力响应特征分析

斜坡动力响应特征与斜坡形态密切相关,若入射地震波主频接近斜坡卓越频率就会放大斜坡动力响应,甚至造成斜坡失稳。汶川地震对远离震中的黄土地区造成了较为严重的破坏,局部场地震害和地震动放大效应显著。选取汶川地震典型黄土斜坡场地,利用地形台阵流动观测和数值模拟计算相结合的方法,系统开展强震动作用下黄土斜坡场地动力响应特征研究。结果表明:坡顶卓越频率最小,其PGA放大系数甚至达到坡底的1.98,这种现象可能与斜坡高差和入射波波长之比密切相关,比值0.2时坡顶放大效应达到最大。随斜坡坡度增加,放大效应增强,坡顶反应谱卓越周期放大系数可达5,说明斜坡地形对强震地面运动有显著影响。数值计算结果与实际强震观测基本吻合,其结果对黄土地区建设工程抗震设防具有重要的科学与实际意义。     

扬子克拉通太古代崆岭群角闪岩相与麻粒岩相岩石的岩石磁学研究

提供了扬子克拉通太古代基底崆岭群２０件代表性岩石样品的密度与磁性参数的测量结果．结果表明，变碎屑岩与ＴＴＧ（英云闪长－奥长花岗－花岗间长质）片麻岩（１３个样品）的磁化率与饱和剩磁普遍大于斜长角闪岩和辉长岩．前者的磁化率与饱和剩磁平均值分别为１２１３×１０^－６ＳＩ与１９．９４Ａ／ｍ，而后者的则为８０２×１０^－６ＳＩ与１０．７７Ａ／ｍ．变碎屑岩与ＴＴＧ片麻岩呈明显的亚铁磁性状态；斜长角闪岩和辉长岩则以顺磁性或顺磁性与亚铁磁性混合状态分布为主．热磁分析结果表明，变碎屑岩与ＴＴＧ片麻岩的剩磁载体以磁铁矿与磁赤铁矿为主；斜长角门岩和辉长岩则明显含有磁黄铁矿与次要的磁铁矿．变碎屑岩与ＴＴＧ片麻岩的磁性具有很强的非均一性．推断崆岭群中的变碎屑岩为麻粒岩相变质级，视深度相当于大陆下地壳；而斜长角闪岩的变质级明显低于变碎屑岩，可能为角门岩相，视深度相当于中地壳．变碎屑岩与ＴＴＧ片麻岩磁性的强非均一性可能与该区后期广泛发生的混合岩化作用密切相关。     

HAND contour: a new proxy predictor of inundation extent

Tools for accurately predicting environmental risks, such as the location and spatial extent of potential inundation, are not widely available. A dependence on calibration and a lack of available flood data have prevented the widespread application of existing hydrodynamic methods for predicting the extent of inundation. We use the height above the nearest drainage (HAND) terrain model to develop a simple static approach for mapping the potential extent of inundation that does not depend on flood observations and extends beyond methods for mapping low‐lying areas. While relying on the contour concept, the method utilizes drainage‐normalized topography and flowpaths to delineate the relative vertical distances (drop) to the nearest river. The HAND‐delineated relative drop is an effective distributed predictor of flood potential, which is directly related to the river stage height. We validated the new HAND contour approach using a flood event in Southern Brazil for which high‐resolution maps were available. The results indicated that the flood hazard‐mapping method accurately predicted the inundation extent of the channel carrying the flood wave and the channels influenced by flooding. For channels positioned outside of the flood‐wave area, the method overestimated the actual flood extent. As an original static assessment of floodwaters across the landscape, the HAND contour method could be used to map flood hazards in areas with poor information and could promote the development of new methods for predicting hydrological hazards. Copyright © 2015 John Wiley & Sons, Ltd.     

Effective hydraulic conductivity of nonstationary aquifers

Assuming that the ln hydraulic conductivity in an aquifer is mathematically approximated by a spatial deterministic surface, or trend, plus a stationary random noise, we treat the problem of finding what the effective hydraulic conductivity of that aquifer is. This problem is tackled by spectral methods applied to a type of diffusion equation of groundwater flow, together with suitable coordinate transformations. Analytical (exact) solutions in terms of elementary functions are presented for one- and three-dimensional finite and infinite domains. Stability criteria are obtained for the solutions, in terms of a critical parameter, that turns out to involve the product of correlation scale and trend gradient. For the case of finite and symmetrical domains, additional provisions to insure the stability of numerical calculations of effective hydraulic conductivity are provided. Effective hydraulic conductivity is an important property, with potential applications in the calibrations of groundwater and transport numerical models.     

High-precision gravity correction methods for loess plateau areas, a case study

黄土塬区地形起伏大,地表黄土切割剧烈。地形起伏导致黄土厚度巨大变化,由于黄土密度与下伏地层之间存在较大的密度差异,由此产生了具有一定幅值的高频重力异常,并给重力勘探资料的处理、解释带来了困难。在SHJZ构造带高精度重力勘探中,综合运用了地形校正和黄土校正技术,有效地克服了由于地形起伏和黄土厚度变化对重力勘探产生的不利影响,取得了精确的重力资料。并将该重力异常,结合其它物探资料进行综合解释,对圈定局部构造发挥了积极的作用。     

虚拟格网分类支持下的密集匹配点云布料模拟滤波

为了提高倾斜影像密集匹配点云滤波算法在地形复杂场景的精度、效率及自适应性,针对传统的布料模拟滤波算法的不足,本文提出了一种基于虚拟格网分类的布料模拟滤波方法。该方法首先构建带有缓冲区的虚拟格网;然后将虚拟格网按其范围内的点云坡度划分为平地、缓坡、陡坡3种类型;最后针对不同类型的虚拟格网,使用相应的布料参数进行布料模拟滤波,从而实现倾斜影像匹配点云在地形复杂场景中的点云滤波,与单一参数的布料模拟滤波进行对比试验。结果表明,基于虚拟格网分类的布料模拟滤波方法结果更接近于目视解译,该方法适合混合地形滤波。     

膨胀卷积与金字塔表达的深度学习模型用于农村建筑物提取

由于农村建筑物结构多样、空间分布复杂等特征,自动提取面临较多困难。针对该问题,本文提出采用膨胀卷积和金字塔池化表达的神经网络模型用于遥感影像中农村建筑物自动提取。在膨胀卷积神经网络模块中,通过改变孔尺寸的大小,获取不同感受野的特征信息;在金字塔表达方面,每个模块输入不同尺度的信息,且同时下采样的倍率也不同,获取多维的金字塔尺度特征;最终将提取的浅层及深层尺度特征信息进行融合,构建一个改进的适用于农村建筑物目标自动提取的深度学习模型。试验结果表明,与FCN-8s和DeepLab模型提取的结果相比,本文方法在农村建筑物提取中表现较好的性能,提取精度明显提高,且更好保留了目标边界细节信息,减少了噪声。     

建筑物形状特征分析表达与自适应化简方法EI北大核心CSCD

建筑物化简是地图制图领域关注的热点问题之一。集成不同算法构建形状特征自适应的化简模型是应对建筑物多样化形态的有效策略,但当前相关研究主要从局部结构模式或化简结果评价展开,缺乏对形状结构的整体分析视角和深层次认知。本文提出一种深度学习支持下的形状自适应建筑物化简方法。首先,利用图卷积自编码网络对建筑物形状进行深度认知,提取隐含在边界节点分布中的形状特征并进行编码表达;然后,通过监督学习方法建立形状编码与化简算法之间的映射关系,从而实现依据输入建筑物的形状特征选择适宜化简算法的自适应机制。试验表明,本文方法的化简结果在位置、方向、面积和形状保持指标上总体优于单一算法,具备较好的理论与应用价值。