基于能源消费的中国不同产业空间的碳足迹分析

Using energy consumption and land use data of each region of China in 2007,this paper established carbon emission and carbon footprint model based on energy consumption,and estimated the carbon emission amount of fossil energy and rural biomass energy of dif-ferent regions of China in 2007.Through matching the energy consumption items with indus-trial spaces,this paper divided industrial spaces into five types:agricultural space,living & industrial-commercial space,transportation industrial space,fishery and water conservancy space,and other industrial space.Then the author analyzed the carbon emission intensity and carbon footprint of each industrial space.Finally,advices of decreasing industrial carbon footprint and optimizing industrial space pattern were put forward.The main conclusions are as following:(1) Total amount of carbon emission from energy consumption of China in 2007 was about 1.65 GtC,in which the proportion of carbon emission from fossil energy was 89%.(2) Carbon emission intensity of industrial space of China in 2007 was 1.98 t/hm2,in which,carbon emission intensity of living & industrial-commercial space and of transportation in-dustrial space was 55.16 t/hm2 and 49.65 t/hm2 respectively,they were high-carbon-emission industrial spaces among others.(3) Carbon footprint caused by industrial activities of China in 2007 was 522.34 106 hm2,which brought about ecological deficit of 28.69 106 hm2,which means that the productive lands were not sufficient to compensate for carbon footprint of industrial activities,and the compensating rate was 94.5%.As to the regional carbon footprint,several regions have ecological profit while others have not.In general,the present ecologi-cal deficit caused by industrial activities was small in 2007.(4) Per unit area carbon footprint of industrial space in China was about 0.63 hm2/hm2 in 2007,in which that of living & indus-trial-commercial space was the highest (17.5 hm2/hm2).The per unit area carbon footprint of different industrial spaces all presented a declining trend from east to west of China.     

稀土元素Ce对雨生红球藻生长及虾青素积累影响的研究

采用反相高效液相色谱分析法（RP-HPLC）研究了稀土元素铈（Ce^3＋）对雨生红球藻（Haematococcus pluvialis）生长及虾青素积累的影响。结果表明,低质量浓度的Ce^3＋对微藻生长和虾青素积累均具有明显的促进作用,当Ce^3＋的质量浓度为0．1mgm时,对藻生长的促进效果最佳,细胞密度较对照组提高34％;当Ce^3＋的质量浓度为1mg/L时,虾青素质量分数可达到细胞干质量的3．2％,较对照组提高167％。此外,高质量浓度Ce^3＋的对雨生红球藻有抑制作用,当Ce^3＋的质量浓度高于40mgm时,红球藻的生长完全被抑制,虾青素质量分数也明显降低。     

Detecting hotspots of urban residents’ behaviours based on spatio-temporal clustering techniques

Hotspots are regions where the number of spatial objects is obviously high within the time intervals. As the behaviours of urban residents are considered as a typical kind of spatio-temporal pattern, the detection of hotspots of urban residents’ behaviours appears necessary, since important information might be discovered in hotspots. In this paper, we propose an approach to detect the spatio-temporal hotspots of urban residents’ behaviours. This approach is validated based on the GPS data of floating cars of a city in southern China. The approach consists of four main steps: first, the effective spatio-temporal trajectories and the important characteristic points contained in each trajectory are extracted from the GPS data; second, the spatio-temporal clusters are generated by clustering the characteristic points based on a kernel density estimation algorithm; third, the spatio-temporal hotspots are detected by filtering the spatio-temporal clusters with high densities; last, the detected hotspots are analysed and interpreted. The results show that the proposed approach is effective and useful in detecting hotspots of urban residents’ behaviours.     

海湾扇贝微卫星标记开发及其分离方式分析

利用尼龙膜吸附杂交法构建了海湾扇贝的(AC)_(15)、(AG)_(15)微卫星富集文库,随机挑取3 000个克隆,经菌落原位杂交二次筛选共获得阳性克隆1 268个(42.3%).经序列测定和生物信息学分析后得到521个独立的阳性克隆,其中微卫星506个,小卫星15个.微卫星中,完美型248个,占总数的49.0%;非完美型216个,占42.7%;复合型42个,占8.3%;其中AG/TC重复占70.4%(356个),AC/TG重复29.6%(150个).选择其中的55条序列设计引物,筛选出其中的20对引物检测它们在海湾扇贝CC10家系的双亲和94个子代个体中的分离情况,结果表明:(1) 其中6个位点在母本和子代中发生分离,10个位点在父本和子代中发生分离,4个为双亲共享位点;(2) 2个位点存在无效等位基因;(3) 16个位点符合孟德尔遗传定律,4个位点的子代个体基因型频率偏离孟德尔遗传定律.上述结果表明,这些微卫星引物可以用于构建海湾扇贝的遗传连锁图谱,并且所构建的富集文库适用于微卫星标记的大规模开发.     

滇西地区地壳上地幔电性结构与地壳构造活动的关系

本文根据滇西地区18个大地电磁测深点资料的数据处理和分析结果,对测区深部导电率在纵、横向上的变化特征进行了研究。结果表明:滇西地区深部电性为多层结构,大致可分四至五个电性结构层;深部电性结构横向变化大,明显受区域构造控制;该区上部地壳内普遍存在低阻层;上地幔高导层明显存在两个隆起区,一个以剑川—鹤庆为中心呈北北西向展布的隆起区,另一个以腾冲—潞西为轴呈南北向展布的隆起区。 本文还讨论了地壳上地幔电性结构与大地构造的关系,滇西北裂陷区盆地的形成,以及该区地震活动与深部构造的关系     

Numerical analysis for contribution of the Tibetan Plateau to dust aerosols in the atmosphere over the East Asia

Although the Tibetan Plateau is widely thought as a potential dust source to the atmosphere over East Asia,little is known about the temporal changes of Tibetan dust activities and Tibetan dust source strength.In this study,we address these two issues by analyzing dust storm frequencies and aerosol index through remote sensing data and by means of numerical simulation.The findings indicate that monthly dust profiles over the Tibetan Plateau vary significantly with time.Near the surface,dust concentration increases from October,reaches its maximum in February March,and then decreases.In the middle to upper troposphere,dust concentration increases from January,reaches its maximum in May June,and decreases thereafter.Although Tibetan dust sources are important contributors to dust in the atmosphere over the Tibetan Plateau,their contribution to dust in the troposphere over eastern China is weaker.The contribution of Tibetan dust sources to dust in the atmosphere over the Tibetan Plateau decreases sharply with height,from 69% at the surface,40% in the lower troposphere,and 5% in the middle troposphere.Furthermore,the contribution shows seasonal changes,with dust sources at the surface at approximately 80% between November and May and 45% between June and September;in the middle and upper troposphere,dust sources are between 21% from February to March and less than 5% in the other months.Overall,dust aerosols originating from the Tibetan Plateau contribute to less than 10% of dust in East Asia.     

Local disappearance of bivalves in the Azores during the last glaciation

The Pleistocene (Eemian) outcrops of Lagoinhas and Prainha, located at Santa Maria Island (Azores), were investigated and their fossil mollusc content reported. These studies revealed that the last glaciation affected two groups of molluscs: the ‘warm‐guest’ gastropods with West African or Caribbean affinities (e.g. Conus spp., Cantharus variegatus, Bulla amygdala, Trachypollia nodulosa) and shallow bivalve species mainly associated with sandy habitats (Ensis minor, Lucinella divaricata, and probably Laevicardium crassum). In this paper we focus on this group of bivalves, which has since locally disappeared from the Azores. We relate the local disappearance of these bivalves in the Azores with the lack of sand in the shelf. The specific characteristics of the Santa Maria shelf combined with the sea‐level drop during the Weichselian prevented deposition of the lowstand deposits and permitted erosion of the previous ones, leaving the shelf without a sediment cover. Copyright © 2008 John Wiley & Sons, Ltd.     

四维EOF分析检验数值模式模拟气候及其变化能力研究

文章提出了一个四维经验正交函数(4D-EOF)方法,原理是三维经验正交函数(3D-EOF)与扩展经验正交函数(EEOF)简单的组合,此方法不仅提供空间水平分布特征场及其对应的月际变化特征和年际变化特征,而且还提供空间垂直结构特征.利用这个新方法分析东亚季风国际区域模式比较计划(RMIP)MM5V3模拟的1989-1998年10 a积分结果--包括中国大部分区域(4941个格点,格距60 km)月平均100,500,700,1000 hPa 4个位势高度场(模拟场)及其距平场;同时分析对应的NCAR/NCEP再分析资料(观测场),进而对比两者检验模式模拟东亚季风气候及其变化能力.对比分析结果表明:对于月平均高度场的第一特征向量场,模式能比较准确地模拟出平均气候场的分布及其垂直相当正压性的结构特征;对于月平均高度距平场第一、二特征向量场,模式对于距平场的模拟也较成功,垂直方向有明显的相当正压性特征;月平均高度场及其距平场相应的月际变化和年际变化特征也在模拟中得到较好的反映.本研究表明:4D-EOF具有综合检验数值模式模拟气候及其变化的能力,而MM5V3模拟20世纪90年代东亚气候及其变化能力是令人满意的.     

水文时间系列周期分析方法探讨

以分析广东省降水周期变化规律为例，探讨了最大熵谱方法在提取水文时间系列的主次周期上以及小波变换方法在分析水文时间系列的多时间尺度演变规律上的应用。由计算结果分析得到广东省降水过程主要存在的周期特性和旱涝变化趋势，为广东省降水趋势预测提供了重要信息。     

区域土壤侵蚀定量研究的国内外进展

由于水土保持宏观决策的需要、土壤侵蚀学科自身的进步和全球变化研究的促进,过去的10多年来,国内外研究者对区域尺度土壤侵蚀研究给予了高度重视。已经开展的主要研究包括:全球和区域（包括国家尺度）土壤侵蚀调查、区域土壤侵蚀过程和尺度效应、区域土壤侵蚀因子和区域土壤侵蚀模型等。将区域土壤侵蚀作为现代陆地地表过程的一部分,充分考虑全球变化的影响,集成土壤侵蚀研究成果与遥感和GIS技术,开发分布式区域土壤侵蚀模型,成为区域土壤侵蚀定量评价研究的基本趋势。在对国内外区域土壤侵蚀定量评价研究评述的基础上,提出我国近期在区域土壤侵蚀方面研究的重点问题为：区域土壤侵蚀过程及其尺度效应的量化描述、区域土壤侵蚀模型开发、区域土壤侵蚀动态模拟与趋势预测、区域土壤侵蚀与全球变化关系研究和区域土壤侵蚀数据处理与管理方法。