贺兰山高压泥质麻粒岩——华北克拉通西部陆块拼合的岩石学证据

贺兰山孔兹岩系作为华北克拉通西部孔兹岩带的重要组成部分,其成因问题一直存在争议。近来,在对贺兰山富铝岩系研究过程中,发现了具有"蓝晶石+条纹长石+石榴石"特征组合的高压泥质麻粒岩。通过岩相观测与相平衡定量模拟,确定其曾经历四个阶段的变质演化过程,即早期进变质阶段(M1)、变质峰期阶段(M2)、峰期后降压阶段(M3)和晚期退变阶段(M4)。早期进变质阶段,以石榴石中包裹黑云母和白云母为特征。变质峰期阶段,以出现"蓝晶石+条纹长石+石榴石"组合为特征,变质温、压条件为850～870℃、1.4～1.5GPa。峰期后降压阶段以峰期石榴石和蓝晶石转变为堇青石和夕线石为特征,温压条件大致为840～860℃、0.6～0.8GPa。晚期退变阶段以出现新生黑云母为标志,温、压条件为780～810℃、0.45～0.55GPa。PT轨迹具有顺时针演化样式,峰期后表现为先发生近等温降压(ITD)、后发生近等压冷却(IBC)的退变过程,反映陆-陆碰撞发生高压麻粒岩相变质作用,后又快速折返到正常地壳深度的变质动力学过程,进而从岩石学角度证明华北克拉通西部孔兹岩带是由北部的阴山陆块与南部的鄂尔多斯陆块发生碰撞所致。     

长石在高温高压条件下的物理化学行为

长石是地学上非常重要的矿物之一。它有可能随着板块俯冲而进入地球深部,因此它在高温高压条件下的相行为以及物理化学性质对地球深部地球动力学研究非常有意义。本文总结了长石端员组份(钾、钠、钙长石)以及其固溶体系列已知的高温、高压实验数据,并绘制成相图。已有的研究成果显示:这三种端员组份在高压下的相行为有较大差异,并产生了许多只在高温高压条件下稳定的相如K-Holl-I、K-Holl-II、CF、CAS及CaPv等。由这些高压相构成的具有长石成分的不同相组合的密度在约5~23GPa的压力范围内超过地幔岩的密度,因此这些相组合可以主动俯冲到上地幔的深处。另一方面,已有研究表明,这些高压相对碱金属及碱土金属在地幔中的赋存状态有着非常重要的影响。     

Soil and vegetation seasonal changes in the grazing Andean Mountain grasslands

Andean grasslands ecosystems are fragile environments with rigorous climatologic conditions and low and variable food for the grazing. The Apolobamba area is located in the Bolivian Andean Mountains. Its high grasslands provide a natural habitat for wild and domestic camelids such as vicuna（Vicugna vicugna） and alpaca（Lama pacos）. The botanical diversity plays an essential role in maintaining vital ecosystem functions. The objectives of this research were to determine the seasonal changes in soil properties, to study the vegetation changes during the wet and dry seasons and the influence of soil properties and camelid densities on the vegetation in the Apolobamba grasslands. Four zones with different vicuna populations were selected to be studied. The following soil parameters were determined： total organic carbon, total nitrogen, available phosphorous, cation exchange capacity, exchangeable cations, pH and texture. The vegetation season changes were studied through botanical identification, above-ground biomass, plant cover and species richness. Results showed that some soil properties such as C/N ratio, CEC, silt and clay percentages kept stable against the seasonal changes. Generally, soil nutrients were relatively higher during the dry season in the surface and subsurface. The results did not point out the predominant vegetation growth during the wet season. The seasonal vegetation growth depended on each species. Thegood soil fertility corresponded to the highest plant cover. Soil fertility presented no influence on the above-ground biomass of the collected species. The negative influence of camelid grazing on soil properties could not be assessed. However, overgrazing could affect some plant species. Therefore, protection is needed in order to preserve the biodiversity in the Andean mountain grasslands.     

Estimating agricultural production in marginal and food insecure areas in Kenya using very high resolution remotely sensed imagery

Regularly monitoring the amount of food produced in food insecure, isolated, subsistence farming areas can be used to help identify households or communities who may be in need of additional food resources. Measuring seasonal food production in developing countries, particularly at a sub-national level, is complicated by lack of data. In this study we use high resolution remotely sensed data to calculate cultivated area in two different growing areas, during two different seasons in Kenya. The results of the research support the usefulness of this approach for agricultural monitoring in the developing world and suggest that monitoring cultivated area requires attention to the specific growing characteristics of an area.     

江淮入梅前后气象因子变化特征及预报着眼点探析

针对2010年江淮地区入梅日预报偏差情况,利用2010年6—7月高低空实况资料和NCEP再分析资料,分析了入梅前后湿度、经向风、地转西风急流的变化特征,并结合1985—2005年21 a历史平均状况和近几年的变化特征,分析了江淮地区入梅前后气象因子变化的规律性、普遍性,丰富了江淮地区入梅预报着眼点。研究发现:有些年份地转西风急流从30°N以南北跳到30~37.5°N区域,对江淮地区进入梅雨期有很好的预示作用,且其稳定维持,有利于江淮梅雨期降水的持续。70%湿度区北跳到30°N的时间及持续时间对江淮地区入梅日的预报和梅雨期长度有着较好的指示作用。在30~35°N区域内v850 hPa-v200 hPa风速差值的突然增大和江淮地区入梅有着较好对应关系。这为梅雨的预报提供了新的思路和方法。     

1961-2010年辽宁省高温日数和高温热浪特征分析

利用1961-2010年辽宁省52个气象站日最高气温资料,分析辽宁地区高温日数及热浪的分布特征和变化趋势,结果表明：辽宁省区域年平均高温日数为7.72 d/ a。辽宁高温日数呈东少西多的空间分布,沿海地区较少甚至部分地区无高温情况出现。高温日出现最多的朝阳站,为26.48 d/ a。从20世纪60年代开始,高温日数呈缓慢增加趋势,其中2000年为有气象记录以来高温日最多的年份。热浪也呈东少西多的分布特征,热浪最多的朝阳站发生频次为2.90次/ a。辽宁省以持续3-5 d的轻度热浪为主,占86.27 %,中度热浪占12.58 %,超过10 d的重度热浪占1.14 %,仅有喀左、北票和羊山地区发生过持续10 d以上的重度热浪。     

1961-2012年夏季南亚高压与云南地区降水的关系

基于1961-2012年NCEP/NCAR月平均再分析资料和云南地区124个观测站月降水资料,利用相关分析法分析夏季南亚高压与云南地区降水的关系。结果表明：1961-2012年夏季滇西南地区降水与南亚高压主中心经度呈较显著负相关,滇南地区降水与南亚高压面积呈较显著负相关;6月滇西北和滇南地区降水与南亚高压脊线位置、高压主中心纬度呈显著正相关,滇西南地区降水与南亚高压主中心强度呈显著正相关,而与南亚高压主中心经度呈显著负相关,滇中地区降水与南亚高压主中心纬度呈显著正相关;7月滇西南、滇西北的西南部和滇西的北部地区降水与南亚高压脊线位置呈较显著正相关,滇西地区降水与南亚高压主中心强度呈较显著负相关,滇中和滇东地区降水与南亚高压主中心经度呈较显著负相关;8月滇西南、滇中、滇南和滇东地区降水与南亚高压面积呈显著负相关。     

Recent Change of the South Asian High

This paper investigates the variability of the summer （May-September） South Asian Iligh （SAIl） for the period 1979-2012. Results show that the intensity and the area of the summer SAH decreased around 2002 at the decadal scale; and the East Asian westerly jet suppressed at the north edge of the SAH, which is consistent with the SAH variation. The precipitation pattern over eastern China also shifted during the same periods, with increased rainfall in the Huang-Huai River region and South China and decreased rainfall in the Yangtze River region. The relationship between the two variations is evidently strengthened via changes in moisture flux.     

Can existing institutions protect biodiversity in areas beyond national jurisdiction? Experiences from two on-going processes

United Nations discussions on the governance of marine areas beyond national jurisdiction have questioned, but not yet reached a decision, on whether existing institutional agreements and structures are sufficient to meet global commitments to protect marine biodiversity, or if additional mechanisms may be required. This paper considers two very different efforts to protect marine biodiversity in these areas: (1) in the North-East Atlantic through the efforts of OSPAR Convention for the Protection of the Marine Environment of the North-East Atlantic; and (2) in the central Atlantic, through the efforts of the Sargasso Sea Alliance led by the Bermuda government. In each case, action has been strongly supported by non-governmental organisations and subsequent progress has hinged upon on-going dedicated efforts of “champion” governments to bring other States on board. This paper outlines the difficulties that they have faced, and consequently why they have been time-consuming, and are not yet completed. The paper then considers 10 common recommendations that can be drawn from the experiences of these two distinct initiatives, and their relevance to on-going UN deliberations.     

A multi-index learning approach for classification of high-resolution remotely sensed images over urban areas

In recent years, it has been widely agreed that spatial features derived from textural, structural, and object-based methods are important information sources to complement spectral properties for accurate urban classification of high-resolution imagery. However, the spatial features always refer to a series of parameters, such as scales, directions, and statistical measures, leading to high-dimensional feature space. The high-dimensional space is almost impractical to deal with considering the huge storage and computational cost while processing high-resolution images. To this aim, we propose a novel multi-index learning (MIL) method, where a set of low-dimensional information indices is used to represent the complex geospatial scenes in high-resolution images. Specifically, two categories of indices are proposed in the study: (1) Primitive indices (PI): High-resolution urban scenes are represented using a group of primitives (e.g., building/shadow/vegetation) that are calculated automatically and rapidly; (2) Variation indices (VI): A couple of spectral and spatial variation indices are proposed based on the 3D wavelet transformation in order to describe the local variation in the joint spectral-spatial domains. In this way, urban landscapes can be decomposed into a set of low-dimensional and semantic indices replacing the high-dimensional but low-level features (e.g., textures). The information indices are then learned via the multi-kernel support vector machines. The proposed MIL method is evaluated using various high-resolution images including GeoEye-1, QuickBird, WorldView-2, and ZY-3, as well as an elaborate comparison to the state-of-the-art image classification algorithms such as object-based analysis, and spectral-spatial approaches based on textural and morphological features. It is revealed that the MIL method is able to achieve promising results with a low-dimensional feature space, and, provide a practical strategy for processing large-scale high-resolution images.