Surface wave tomography for azimuthal anisotropy in a strongly reduced parameter space

Large scale seismic anisotropy in the Earth's mantle is likely dynamically supported by the mantle's deformation; therefore, tomographic imaging of 3-D anisotropic mantle seismic velocity structure is an important tool to understand the dynamics of the mantle. While many previous studies have focused on special cases of symmetry of the elastic properties, it would be desirable for evaluation of dynamic models to allow more general axis orientation. In this study, we derive 3-D finite-frequency surface wave sensitivity kernels based on the Born approximation using a general expression for a hexagonal medium with an arbitrarily oriented symmetry axis. This results in kernels for two isotropic elastic coefficients, three coefficients that define the strength of anisotropy, and two angles that define the symmetry axis. The particular parametrization is chosen to allow for a physically meaningful method for reducing the number of parameters considered in an inversion, while allowing for straightforward integration with existing approaches for modelling body wave splitting intensity measurements. Example kernels calculated with this method reveal physical interpretations of how surface waveforms are affected by 3-D velocity perturbations, while also demonstrating the non-linearity of the problem as a function of symmetry axis orientation. The expressions are numerically validated using the spectral element method. While challenges remain in determining the best inversion scheme to appropriately handle the non-linearity, the approach derived here has great promise in allowing large scale models with resolution of both the strength and orientation of anisotropy.     

中亚天山地区关键水文要素变化与水循环研究进展

天山地处欧亚大陆腹地,是丝绸之路经济带中段的重要水源地.天山地区的水循环系统具有时空差异性大、水源机制复杂、径流构成多元以及水系统脆弱等特点,水循环各环节受陆表格局和气候变化影响显著,水文要素对气候变化响应敏感,难以沿用现有的流域水循环模式阐述其内在机理.结合文献阅读和研究,系统分析了气候变化背景下天山地区关键水文要素...     

新疆地质遗迹的分布特征与保护开发

国际、国内地质遗迹保护的发展反映出地质遗迹保护理念从单一保护到保护与开发相协调的演进,联合国教科文组织建立的地质公园将地质遗迹保护与促进地方经济可持续发展紧密结合起来,成为地质遗迹保护的最佳途径。新疆地质遗迹数量大、类型齐、等级优,复杂的地质地貌环境,造就和控制了新疆地质遗迹的类型和空间分布,主要类型为地质地貌景观和水体景观,空间分布可划分为阿尔泰、准噶尔、天山、塔里木、昆仑－阿尔金5个区,其中天山区和昆仑－阿尔金区是新疆最重要的地质遗迹区。基于首次全疆地质遗迹系统调研,指出新疆滞后的地质遗迹保护现状的根本致因是保护与开发协调性差,确定保护类型－形式－模式－级别－时序－分区六大保护步骤,提出地质公园和地质遗迹保护区及其他保护地相结合的复合型保护模式优选思路和5个优选模式,并据此建立针对新疆209个重要地质遗迹的保护开发备选名录。     

最近十年来中国地理科学的进展

最近十年来中国地理科学的最重要进展有:自然地理学与人文地理学的平衡发展,人口、资源、环境的研究,遥感的应用与地理信息系统的建立,自然地理定位观测,青藏高原隆起对自然环境的影响,城市与城市规划,中国历史地理研究等。最近,并已开始研究气候变化与海平面上升对中国的影响,使我国地理科学研究紧紧跟上世界发展的步伐。     

柽柳灌丛沙堆及丘间地蚀积分布随背景植被变化的风洞实验

以塔克拉玛干沙漠南缘沙漠-绿洲过渡带广泛分布的柽柳灌丛沙堆及丘间地植物为原型,依据风沙运动相似理论,制作背景植被盖度依次为0%、4%、10%、16%和26%五组灌丛沙堆模型,在风洞中进行蚀积变化规律模拟实验。结果表明：柽柳灌丛沙堆及丘间地蚀积分布可划分为6个区域,依次为沙堆前积沙区、沙堆迎风坡风蚀区、沙堆两侧风蚀区、沙堆背风侧涡流积沙区、沙堆后尾流积沙区和不受沙堆影响区。随着指示风速增大,沙堆前积沙区和尾流积沙区范围缩小而沙堆两侧风蚀区面积明显增大。随着背景植被盖度的增大,沙堆前积沙区和尾流积沙区范围增大而沙堆两侧风蚀区范围明显减小。灌丛沙堆及丘间地整体风蚀面积比、风蚀率、各分区蚀积强度均呈指数规律递减。背景植被盖度为0%时,灌丛沙堆影响区风蚀率明显高于不受沙堆影响区,说明裸露地表条件下灌丛沙堆的存在会加剧地表风蚀;当背景植被盖度为4%~16%时,灌丛沙堆影响区风蚀率均低于不受沙堆影响区,可见丘间地植被存在可使灌丛沙堆起到一定的防风阻沙作用。当背景植被盖度>16%时,柽柳灌丛沙堆及丘间地整体蚀积强度和风蚀率变化趋于平稳。据此认为维持不低于16%的背景植被覆盖,是沙漠-绿洲过渡带柽柳灌丛沙堆科学保育的关键。     

A comprehensive analysis of phenological changes in forest vegetation of the Funiu Mountains,China

Journal of Geographical Sciences - This paper reports the phenological response of forest vegetation to climate change (changes in temperature and precipitation) based on Moderate Resolution...     

构建旅游中心城市之研究——以荆门市为例

在探讨旅游中心城市概念、地位及作用的基础上，以荆门市为例，分析了荆门市旅游产业发展中存在的问题、研究了荆门市建设为区域旅游中心城市的条件和优势，包括较为发达的城市经济、丰富的资源、良好的区位、科学的规划、完善的设施等，并借用中心地理论来说明荆门市应该成为区域旅游中心城市，最后列出了具体思路。     

The simulation of LUCC based on Logistic-CA-Markov model in Qilian Mountain area,China

The Qilian mountain area was examined for using the Logistic-CA-Markov coupling model combined with GIS spatial analyst technology to research the transformation of LUCC, driving force system and simulate future tendency of variation. Results show that:(1) Woodland area decreased by 12.55%, while grassland, cultivated land, and settlement areas increased by 0.22%, 7.92%, and 0.03%, respectively, from 1986 to 2014. During the period of 1986 to 2000, forest degradation in the middle section of the mountain area decreased by 1,501.69 km~2. Vegetation cover area improved, with a net increase of grassland area of 38.12 km~2 from 2000 to 2014.(2) For constructing the system driving force, the best simulation scale was 210m×210m. Based on logistic regression analysis, the contribution(weight) of composite driving forces to land use and cover change was obtained, and the weight value was more objectively compared with AHP and MCE method.(3) In the natural scenarios, it is predicted that land use and cover distribution maps of Qilian mountain area in 2028 and 2042, and the Lee-Sallee index test was adopted. Over the next 27 years(2015–2042), farmland, woodland, grassland, settlement areas show an increasing trend, especially settlements with an obvious change of 0.56%. The area of bare land will decrease by 0.89%. Without environmental degradation, tremendous structural change of LUCC will not occur, and typical characteristic of the vertical zone of the mountain would remain. Farmland and settlement areas will increase, but only in the vicinity of Qilian and Sunan counties.     

Potential promoted productivity and spatial patterns of medium- and low-yield cropland land in China

With a continuously increasing population and better food consumption levels, improving the efficiency of arable land use and increasing its productivity have become fundamental strategies to meet the growing food security needs in China. A spatial distribution map of medium- and low-yield cropland is necessary to implement plans for cropland improvement. In this study, we developed a new method to identify high-, medium-, and low-yield cropland from Moderate Resolution Imaging Spectroradiometer (MODIS) data at a spatial resolution of 500 m. The method could be used to reflect the regional heterogeneity of cropland productivity because the classification standard was based on the regionalization of cropping systems in China. The results showed that the proportion of high-, medium-, and low-yield cropland in China was 21%, 39%, and 40%, respectively. About 75% of the low-yield cropland was located in hilly and mountainous areas, and about 53% of the high-yield cropland was located in plain areas. The five provinces with the largest area of high-yield cropland were all located in the Huang-Huai-Hai region, and the area amounted to 42% of the national high-yield cropland area. Meanwhile, the proportion of high-yield cropland was lower than 15% in Heilongjiang, Sichuan, and Inner Mongolia, which had the largest area allocated to cropland in China. If all the medium-yield cropland could be improved to the productive level of high-yield cropland and the low-yield cropland could be improved to the level of medium-yield cropland, the total productivity of the land would increase 19% and 24%, respectively.