鹿井铀矿床铀矿物学特征

鹿井矿床位于南华活动带华夏褶皱带武功—诸广断隆区,闽、赣后加里东褶皱地块西缘,诸广山复式岩体中段,受遂川断裂及热水断裂组成的地堑式断陷带控制。本文主要对鹿井矿床内铀矿物的赋存状态、成分特征及组合特征进行了研究。     

桂林毛村不同植被类型土壤微生物数量与碳酸酐酶活性比较

以非岩溶区林地为对比,分析了桂林毛村岩溶区4种不同植被类型土壤微生物数量及碳酸酐酶(CA)活性的季度动态变化规律,发现以下主要结果:1随着植被的正向演替,岩溶区弃耕地、草地、灌丛及林地微生物数量及CA活性逐渐升高,微生物总数从64.07×10~4cfu/g上升到178.23×10~4cfu/g,CA活性从0.77 U/g上升到1.82 U/g,岩溶区林地大于非岩溶区林地。2在岩溶区不同植被类型,微生物组成均表现为细菌最多(平均值95.14%),放线菌次之(平均值2.79%),真菌数量最少(平均值1.75%)。而在非岩溶区表现为细菌最多(平均值90.95%),真菌次之(平均值5.32%),放线菌最少(平均值3.73%)。3微生物数量季节动态整体表现为春季至夏季逐渐上升,至秋季达到最高,冬季下降,微生物总数的增长依赖于细菌的倍数增长,真菌和放线菌影响较小。CA活性整体表现为夏季和冬季低于春季和秋季,秋季达到最大值。4 CA活性与细菌及微生物总数呈极显著的正相关,表明土壤CA主要来源于细菌的分泌。     

印度区域地质矿产概况

印度共和国是印度板块的主体,也是冈瓦纳大陆的重要组成部分,主要由七个古老克拉通（陆块群）、分隔克拉通的活动带与盆地等构成。自北向南依次为：①喜马拉雅活动带,主要为具有元古代基底的古近纪-新进纪活动带;②印度河-恒河平原过渡带（山前坳陷带）,主要由为第四系、古近系-新进系和第四系冲积物构成;③印度半岛克拉通,主要由西塔尔瓦尔、东塔尔瓦尔、巴斯塔、辛本,本德尔坎德、阿拉瓦利和印度南部麻粒岩地体等7个太古宙陆块（或次级克拉通）群构成;④萨德布尔活动带;⑤东高止山活动带;⑥德干高原玄武岩省（LIP）（图1）。     

西藏班公湖-怒江缝合带西段特提斯洋晚二叠世(Ca.252Ma)洋内俯冲的地球化学和年代学证据

多龙蛇绿混杂岩是班公湖-怒江蛇绿岩带的重要组成部分,位于西藏阿里地区改则县北西约120 km的多龙矿集区内,大地构造位置处于班公湖-怒江缝合带中西段,南羌塘板块南缘。多龙蛇绿混杂岩主要分布在多龙矿区中部及东北部。矿区中部蛇绿岩主要由辉长岩、辉绿(玢)岩、枕状玄武岩、气孔杏仁状玄武岩、玄武质岩屑凝灰岩及硅质岩等组成,东西向延伸约35 km,南北宽3~7 km,出露面积约180 km2;该蛇绿岩残片的组成单元(包括基性岩单元以及硅质岩单元等)多被构造肢解,整体表现为不规则透镜体,以构造岩片的形式断续分布于侏罗系次深海陆棚-盆地斜坡复陆碎屑岩-类复理石建造内的断层带中,构成典型的网结状构造。矿区东北部蛇绿岩主要由含铁斜方辉石橄榄蛇纹岩、玻基玄武岩、碳酸盐化角闪辉长岩、微纹层状硅质岩等组成,该蛇绿混杂岩带沿北西-南东向断裂展布,延伸约12 km,宽1~3 km,出露面积约30 km2;该蛇绿岩残片组成单元(包括超基性岩单元、基性岩单元以及硅质岩单元等)均呈构造岩片的形式产出在三叠系灰岩地层内的断层带中。     

Verification and Correction of Cloud Base and Top Height Retrievals from Ka–band Cloud Radar in Boseong,Korea

In this study,cloud base height(CBH) and cloud top height(CTH) observed by the Ka-band(33.44 GHz) cloud radar at the Boseong National Center for Intensive Observation of Severe Weather during fall 2013(September-November) were verified and corrected.For comparative verification,CBH and CTH were obtained using a ceilometer(CL51) and the Communication,Ocean and Meteorological Satellite(COMS).During rainfall,the CBH and CTH observed by the cloud radar were lower than observed by the ceilometer and COMS because of signal attenuation due to raindrops,and this difference increased with rainfall intensity.During dry periods,however,the CBH and CTH observed by the cloud radar,ceilometer,and COMS were similar.Thin and low-density clouds were observed more effectively by the cloud radar compared with the ceilometer and COMS.In cases of rainfall or missing cloud radar data,the ceilometer and COMS data were proven effective in correcting or compensating the cloud radar data.These corrected cloud data were used to classify cloud types,which revealed that low clouds occurred most frequently.     

Trends of Regional Precipitation and Their Control Mechanisms during 1979–2013

Trends in precipitation are critical to water resources. Considerable uncertainty remains concerning the trends of regional precipitation in response to global warming and their controlling mechanisms. Here, we use an interannual difference method to derive trends of regional precipitation from GPCP(Global Precipitation Climatology Project) data and MERRA(ModernEra Retrospective Analysis for Research and Applications) reanalysis in the near-global domain of 60?S–60?N during a major global warming period of 1979–2013. We find that trends of regional annual precipitation are primarily driven by changes in the top 30% heavy precipitation events, which in turn are controlled by changes in precipitable water in response to global warming, i.e., by thermodynamic processes. Significant drying trends are found in most parts of the U.S. and eastern Canada,the Middle East, and eastern South America, while significant increases in precipitation occur in northern Australia, southern Africa, western India and western China. In addition, as the climate warms there are extensive enhancements and expansions of the three major tropical precipitation centers–the Maritime Continent, Central America, and tropical Africa–leading to the observed widening of Hadley cells and a significant strengthening of the global hydrological cycle.     

TRMM星载测雨雷达和地基雷达反射率因子数据的三维融合

TRMM卫星上的测雨雷达(TRMMPR)探测资料分布均匀且具有很高的垂直分辨率,但灵敏度较低;地基雷达(GR)水平分辨率较高且具有较高的灵敏度,但其垂直分辨率低。通过将TRMM PR与GR反射率因子数据的三维数据融合,得到了更优的反射率因子图像。测雨雷达与地基雷达三维数据融合主要分为以下几步:测雨雷达与地基雷达数据预处理——如去杂波、衰减校正;测雨雷达与地基雷达时空匹配;选取和应用合适的三维图像融合算法;对融合后的图像进行效果评估。试验结果表明:融合后的图像不仅增大了信息量,更好地检测弱降水,还提高了空间三维(3D)分辨率,能更好地反映降水区域细节,且使得数据总体上具有更高的完整性和可靠性。此外,还将基于雷达资料估测的降水数据与地面雨量计数据进行对比,估计反射率因子数据融合在降水测量上的有效性。      

Spatially explicit assessment of water embodied in European trade: A product-level multi-regional input-output analysis

Responsible water management in an era of globalised supply chains needs to consider both local and regional water balances and international trade. In this paper, we assess the water footprints of total final demand in the EU-27 at a very detailed product level and spatial scale—an important step towards informed water policy. We apply the multi-regional input-output (MRIO) model EXIOBASE, including water data, to track the distribution of water use along product supply chains within and across countries. This enables the first spatially-explicit MRIO analysis of water embodied in Europe’s external trade for almost 11,000 watersheds world-wide, tracing indirect (“virtual”) water consumption in one country back to those watersheds where the water was actually extracted. We show that the EU-27 indirectly imports large quantities of blue and green water via international trade of products, most notably processed crop products, and these imports far exceed the water used from domestic sources. The Indus, Danube and Mississippi watersheds are the largest individual contributors to the EU-27’s final water consumption, which causes large environmental impacts due to water scarcity in both the Indus and Mississippi watersheds. We conclude by sketching out policy options to ensure that sustainable water management within and outside European borders is not compromised by European consumption.     

中国中东部冬季霾日的形成与东亚冬季风和大气湿度的关系

利用1961-2013年中国地面台站长期观测资料和同期NCEP/NCAR再分析资料,以华北、江淮和华南为研究区,分析了中国中东部冬季霾日的形成与东亚冬季风以及大气湿度的关系。结果表明:(1)冬季霾日与东亚冬季风强度成显著的负相关。首先,东亚冬季风强度的减弱使得地面风速减小,进而导致冬季霾日增多。其中,华北7-8 m/s最大风速日数和江淮6-8 m/s最大风速日数的减少,及华南≤2 m/s最大风速日数的增多对各区冬季霾日的增多作用较大。其次,东亚冬季风减弱引起冬季气温的持续升高,易导致冬季霾日的增多,这在华北地区较之在江淮和华南更为明显。(2)由于气候变暖,冬季气温升高,使得近地面相对湿度减小。在江淮和华南地区,冬季霾日的增多与近地面相对湿度的减小显著相关,而在华北地区这种相关较弱。(3)冬季气温升高也有利于大气层结稳定度的增强,3个区域冬季霾日的增多均与大气层结稳定度的增强显著相关,特别是与对流层中低层(850-500 hPa)大气饱和度的降低显著相关。(4)冬季霾日数变化与区域水汽输送关系密切。其中,华北地区的冬季霾日数与水汽总收入成显著正相关,江淮地区与纬向水汽收入成显著正相关,与经向水汽收入成显著负相关,华南地区与经向水汽收入成显著负相关。     

Multi-model assessment of global hydropower and cooling water discharge potential under climate change

Worldwide, 98% of total electricity is currently produced by thermoelectric power and hydropower. Climate change is expected to directly impact electricity supply, in terms of both water availability for hydropower generation and cooling water usage for thermoelectric power. Improved understanding of how climate change may impact the availability and temperature of water resources is therefore of major importance. Here we use a multi-model ensemble to show the potential impacts of climate change on global hydropower and cooling water discharge potential. For the first time, combined projections of streamflow and water temperature were produced with three global hydrological models (GHMs) to account for uncertainties in the structure and parametrization of these GHMs in both water availability and water temperature. The GHMs were forced with bias-corrected output of five general circulation models (GCMs) for both the lowest and highest representative concentration pathways (RCP2.6 and RCP8.5). The ensemble projections of streamflow and water temperature were then used to quantify impacts on gross hydropower potential and cooling water discharge capacity of rivers worldwide. We show that global gross hydropower potential is expected to increase between +2.4% (GCM-GHM ensemble mean for RCP 2.6) and +6.3% (RCP 8.5) for the 2080s compared to 1971–2000. The strongest increases in hydropower potential are expected for Central Africa, India, central Asia and the northern high-latitudes, with 18–33% of the world population living in these areas by the 2080s. Global mean cooling water discharge capacity is projected to decrease by 4.5-15% (2080s). The largest reductions are found for the United States, Europe, eastern Asia, and southern parts of South America, Africa and Australia, where strong water temperature increases are projected combined with reductions in mean annual streamflow. These regions are expected to affect 11–14% (for RCP2.6 and the shared socio-economic pathway (SSP)1, SSP2, SSP4) and 41–51% (RCP8.5–SSP3, SSP5) of the world population by the 2080s.