浅谈地理信息主管(GIO)及其人才培养

分析地理信息主管这一高层次复合型人才提出的背景,介绍地理信息主管的性质和职责及其在美国的发展。在对国内外地理信息相关人才培养情况的分析基础上,指出我国地理信息主管人才培养的必要性,并对我国地理信息主管人才培养进行思考。最后,提出我国地理信息主管人才培养的大致思路:着重对人才进行基本技术的培养和管理能力的培养。     

冬季青藏高原大气热状况分析Ⅱ：年际变化

通过诊断3套再分析资料的非绝热加热场,研究冬季青藏高原上空大气的热力特征.结果表明,与夏季为强热源的特征不同,冬季高原上空不是欧亚大陆上最强的冷源中心.冬季高原上空整体是偏弱的冷源,在高原西侧及东南地区上空甚至出现非绝热加热正值区,这一分析对以往研究提出的高原是冷源的特性给出了修正.各种非绝热加热分量的诊断表明,冬季高原上空这种总的非绝热加热分布主要是由于高原主体的长波辐射冷却较周边地区弱,以及西侧至东南地区凝结潜热释放造成的.为了说明再分析的非绝热加热资料对冬季高原上空大气的这种热力特征描述的可信性,文中还利用了地表辐射能量、TRMM及PREC/L降水、垂直速度等资料进一步辅助分析,证实了由于高原位势较高造成大气整层温度偏低,向外长波辐射偏少,以及高原地势的隆起造成局地较强的上升运动,高原西侧至东南角降水大值区潜热偏大,最终造成高原上空总非绝热加热负值偏小.最后理想高原隆起的水球试验结果说明,冬季,高原的存在减弱了陆地上空的冷却效应,因而其上为弱冷源,再次证实了资料分析的结果.     

湖泊疏浚堆场淤泥污染及潜在生态风险评价

疏浚淤泥内通常含有不同类型的有毒有害物质,在堆场直接堆放过程中可能会对周围环境产生有害影响.本文针对太湖及巢湖相应疏浚堆场内淤泥进行研究,探讨淤泥中重金属、多环芳烃以及多氯联苯等污染物含量及潜在生态风险;根据重金属的风险指数法和持久性有机污染物的风险商法,对各污染物的潜在生态风险进行定量分析.研究结果表明,太湖白旄堆场以及孔湾堆场淤泥内重金属及多环芳烃含量较小,潜在生态风险较低;巢湖南庄堆场淤泥内各类有害物质含量较大,种类较多,对于周围环境具有较高的潜在生态威胁.多氯联苯则在各个疏浚堆场淤泥中具有很高的积累量,潜在生态风险较高,应引起管理者的重视.     

加标回收在水质分析中的应用及回收率计算方法

阐述了水质分析中加标回收分析的方法步骤、条件控制及计算方法。当加标体积影响试样在加标水样中的浓度时,直接使用回收率理论计算公式的计算值,均较其真实的回收率偏低,且其偏低值随加标体积的增加而增大。根据加标回收分析的定义,分别以加标前后被测组分质量浓度(mg/L)的变化或含量(μg)的变化为依据,导出两个计算加标回收率的实用公式。采用该公式,加标体积可以不受严格控制,其计算结果与真实的回收率一致,适用于日常水质分析工作。     

梅雨锋云系的结构特征及其成因分析

利用逐时卫星遥感观测资料和地面测站的降水资料，分析了江淮流域2003年6月22～26日暴雨过程中梅雨锋云系的演变、结构特征和形成原因。结果表明，梅雨锋云系为一条TBB的低值带，稳定少动，其上分布着中尺度对流系统（MCS），而中尺度对流系统是由不同尺度、不同强度．的对流单体（包括中β和中γ尺度对流单体）组成的，从而使得梅雨锋云系产生不均匀的降水分布（包括时间上和空间上）。在该暴雨过程中，梅雨锋云系充分体现了中尺度对流系统中所包括的3类组织结构形式。梅雨锋云系与中高纬度云系或热带辐合带云系之间的相互作用与暴雨过程关系密切，梅雨锋云系的维持和发展与强大的黄淮气旋云系直接相关，它是江淮流域上空冷暖气流交汇的结果。     

Vertical structures of PM10 and PM 2.5 and their dynamical character in low atmosphere in Beijing urban areas

The vertical structures and their dynamical character of PM2.5 and PM10 over Beijing urban areas are revealed using the 1 min mean continuous mass concentration data of PM2.5 and PM10 at 8, 100, and 320 m heights of the meteorological observation tower of 325 m at Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP CAS tower hereafter) on 10―26 August, 2003, as well as the daily mean mass concentration data of PM2.5 and PM10 and the continuous data of CO and NO2 at 8, 100 (low layer), 200 (middle layer), and 320 m (high layer) heights, in combination with the same period meteorological field observation data of the meteorological tower. The vertical distributions of aerosols observed on IAP CAS tower in Beijing can be roughly divided into two patterns: gradually and rapidly decreasing patterns, I.e. The vertical distribution of aerosols in calm weather or on pollution day belongs to the gradually decreasing pattern, while one on clean day or weak cold air day belongs to the rapidly decreasing pattern. The vertical distributive characters of aerosols were closely related with the dynamical/thermal structure and turbulence character of the atmosphere boundary layer. On the clean day, the low layer PM2.5 and PM10 concentrations were close to those at 8 m height, while the concentrations rapidly decreased at the high layer, and their values were only one half of those at 8 m, especially, the concentration of PM2.5 dropped even more. On the clean day, there existed stronger turbulence below 150 m, aerosols were well mixed, but blocked by the more stronger inversion layer aloft, and meanwhile, at various heights, especially in the high layer, the horizontal wind speed was larger, resulting in the rapid decrease of aerosol concentration, I.e. Resulting in the obvious vertical difference of aerosol concentrations between the low and high layers. On the pollution day, the concentrations of PM2.5 and PM10 at the low, middle, and high layers dropped successively by, on average, about 10% for each layer in comparison with those at 8 m height. On pollution days, in company with the low wind speed, there existed two shallow inversion layers in the boundary layer, but aerosols might be, to some extent, mixed below the inversion layer, therefore, on the pollution day the concentrations of PM2.5 and PM10 dropped with height slowly; and the observational results also show that the concentrations at 320 m height were obviously high under SW and SE winds, but at other heights, the concentrations were not correlated with wind directions. The computational results of footprint analysis suggest that this was due to the fact that the 320 m height was impacted by the pollutants transfer of southerly flow from the southern peripheral heavier polluted areas, such as Baoding, and Shijiazhuang of Hebei Province, Tianjin, and Shandong Province, etc., while the low layer was only affected by Beijing's local pollution source. The computational results of power spectra and periods preliminarily reveal that under the condition of calm weather, the periods of PM10 concentration at various heights of the tower were on the order of minutes, while in cases of larger wind speed, the concentrations of PM2.5 and PM10 at 320 m height not only had the short periods of minute-order, but also the longer periods of hour order. Consistent with the conclusion previously drawn by Ding et al., that air pollutants at different heights and at different sites in Beijing had the character of "in-phase" variation, was also observed for the diurnal variation and mean diurnal variation of PM2.5 and PM10 at various heights of the tower in this experiment, again confirming the "in-phase" temporal/spatial distributive character of air pollutants in the urban canopy of Beijing. The gentle double-peak character of the mean diurnal variation of PM2.5 and PM10 was closely related with the evident/similar diurnal variation of turbulent momentum fluxes, sensible heat fluxes, and turbulent kinetic energy at various heights in the urban canopy. Besides, under the condition of calm weather, the concentration of PM2.5 and PM10 declined with height slowly, it was 90% of 8 m concentration at the low layer, a little lesser than 90% at the middle layer, and 80% at the high layer, respectively. Under the condition of weak cold air weather, the concentration remarkably dropped with height, it was 70% of 8 m concentration at the low layer, and 20%―30% at the middle and high layers, especially the concentration of PM2.5 was even lower.     

地震作用下含软弱夹层顺层岩质边坡表面放大效应研究

为了研究地震作用下含软弱夹层顺层岩质边坡表面的放大效应,借用FLAC3D软件,建立了含软弱夹层顺层岩质边坡动力分析数值模型;在合理考虑地震动输入、边界条件、网格划分与模型参数的基础上,分析了地震动峰值、频率、持时以及初动方向等因素影响下的边坡表面放大效应。研究结果表明：①地震动峰值、频率和初动方向对边坡表面放大效应的影响较显著,而地震动持时对边坡表面放大效应的影响微小;②随着地震动峰值的增加,放大效应由软弱夹层之上的坡面及坡顶面向坡肩点逐渐增大,坡肩点的放大效应最大;③当输入地震动频率小于边坡的自振频率时,边坡表面加速度放大倍数较小,且频率越小,放大倍数越小,当输入地震动频率大于边坡的自振频率时,边坡表面加速度放大倍数较大,且频率越大,放大倍数亦越大。     

人类活动对乌梁素海湿地环境演变的影响分析

乌梁素海是我国半荒漠地区具有很高生态价值和社会效益的大型多功能湖泊湿地[1],是黄河流域最大的淡水湖泊,也是内蒙古河套灌区唯一的承泄途径.乌梁素海的补给水源主要包括含高N,P的农田退水,工业废水以及生活污水,这些退水及废污水的排入使得湿地环境发生着重大的变化.本文在收集1986-2004年19年间Landsat TM/ETM遥感影像数据的基础上,结合乌梁素海历史资料,分析了80年代以来人类活动对湿地环境的影响,这种影响主要体现在人工芦苇面积不断扩大,富营养化程度逐年增高,水生资源迅速减少等方面,尽管2003年以来"引黄入海"工程的实施某种程度上缓解了湿地环境恶化的进程,但湿地环境仍然面临严重的威胁.     

青藏高原低涡活动的统计研究

利用1980-2004年5～9月逐日08时、20时(北京时,下同)两个时次的500 hPa天气图资料,统计分析了夏季青藏高原低涡(简称高原低涡)的活动特征.结果表明:夏季高原低涡的发生频次具有明显的年代际、年际和季节内变化特征,20世纪90年代以后低涡出现频次较之80年代有下降趋势,7月份是夏季高原低涡的活跃期;青藏高原上产生低涡的四个源地分别为:申扎-改则之间、那曲东北部地区、德格东北部和松潘附近;移出青藏高原的高原低涡在青藏高原上主要有四个涡源:那曲东北部、曲麻莱地区、德格附近和玛沁附近,也存在季节内变化,与青藏高原上产生低涡的涡源不同;部分高原低涡形成后,能在高原上生存36 h以上并发展东移,移动路径主要有东北、东南和向东三条,其中向东北移动的低涡数量最多;而低涡移出青藏高原后的路径与在高原上的移动路径并不相同,移出高原后的低涡多数是向东移动的,其次才向东北、东南移动;高原低涡移出高原时主要有两条路径:一条为东北路径,主要移向河西、宁夏和黄土高原一带;另一条是东南路径,主要移向四川盆地附近,其中,移向黄土高原的低涡最多;移出低涡也表现出一定的年际变化和季节内变化特征;高原低涡移出青藏高原后,多数在12 h内减弱消亡,有些可持续60 h,极少数能存活100 h以上,最长可达192 h,不仅影响我国东部广大地区的降水,甚至可能影响朝鲜半岛和日本;高原低涡在青藏高原上初生时,暖性涡比斜压涡多近两倍,而移出青藏高原后12 h内的低涡性质却发生了很大改变,以斜压涡居多;与60、70年代相比,80年代中期以后高原低涡的发生源地、移动路径和性质等特征都有所改变.     

水库对河流营养盐滞留效应研究进展

综述了国内外水库对河流营养盐滞留效应的主要进展,尽管在大型水库是否显著改变原有河流输送营养盐的问题上存在诸多争议,反映在滞留效率的估算上,存在前后矛盾的结果,但大量的文献仍支持筑坝显著改变了河流原有输送营养盐的特性,并对下游、河口产生深远的影响.本文将"滞留"的主要过程分为泥沙过滤作用和生物过滤作用,并列举了若干经典的估算滞留效率的方法和部分水库对营养盐的滞留效率.