钻探技术新进展

介绍了国外近几年钻探技术的某些新进展 ,主要包括自动控向钻进系统 ,电动柔杆钻进系统 ,全球定位系统在钻探中的应用以及模拟钻进系统在钻探教育中的应用     

西藏班-怒结合带尕尔穷铜金矿床矽卡岩 矿物学特征及其地质意义

尕尔穷铜金矿床位于西藏班公湖-怒江成矿带西段,是该带上近年来取得重大勘查突破的矽卡岩(斑岩)型铜金矿床.矿区产出的矽卡岩为典型的钙质矽卡岩,其矽卡岩矿物主要由石榴子石、辉石、硅灰石、绿帘石、绿泥石、符山石、矽线石等组成.电子探针分析结果表明,矿区石榴子石主要为钙铁榴石和钙铝榴石,辉石主要为透辉石,绿泥石可见铁绿泥石及铁镁绿泥石两种.石榴子石成分剖面显示其矿物组分随着石榴子石环带的变化而变化,表明矿区矽卡岩不是在一个完全封闭的平衡条件下形成的,指示矿床形成过程中热液流体具有多期多阶段性.尕尔穷矿区矽卡岩具有良好的分带性,表现为从靠近岩体的深部到靠近围岩的浅部具有石榴子石-透辉石相→透辉石-硅灰石相→硅灰石-绿帘石绿泥石相的分带特征,并伴随一定的矿化组合.典型矽卡岩矿物端员组分的识别及其Fe2+/Fe3+的比值计算结果表明,尕尔穷矿床形成于相对氧化环境.辉石组分中Mn/Fe比值的特征表明尕尔穷矿区具有一定的寻找钼矿的潜力.     

太湖不同生态型湖区枝角类组成和丰度长期变化的差异性

枝角类作为淡水湖泊生态系统中的初级消费者之一,对生存环境的改变极为敏感.本文分析了太湖西、中和东部等湖区的钻孔沉积物、表层沉积物以及春夏秋季活体枝角类的组成与丰度.结果表明:活体枝角类组成以象鼻溞(Bosmina spp.)为优势种,秋季枝角类属种数量最多.太湖不同生态型湖区表层沉积物枝角类组成均以象鼻溞为优势种,其中西部与中心湖区的枝角类组成与丰度较为相似,种类单一,枝角类绝对丰度高;东部湖区枝角类属种较为丰富,绝对丰度低,优势种由浮游种象鼻溞以及沿岸种圆形盘肠溞(Chydorus sphaericus sl)和西方笔纹溞(Graptoleberis testudinaria)等种属构成.百年以来,太湖枝角类组成与丰度随着营养水平增加而改变,富营养指示种(Bosmina longirostris)丰度的增加与贫营养指示种(Bosmina longispina)丰度的下降,响应了湖区生态环境的演变过程.1970s末期,太湖西部与中心湖区在进入富营养化阶段,枝角类组成单一,象鼻溞占有绝对优势,与东部湖区相比,沿岸种、底栖种稀少.东部湖区在1960s以后,枝角类属种数量增加,但丰度下降,响应了1960s以来该区域营养水平提高、沉水植被生物量增加以及沼泽化加剧的环境过程.     

波兰郁金香在中国的气候适生地研究

通过对波兰郁金香的水、热条件与中国大陆所有站点进行气候滑移相似分析表明,波兰郁金香在中国最适宜引种的范围很大,气候相似的大部分地方集中在３ 个地区：一是３４ ～３９°Ｎ、１０２～１１４°Ｅ的倒梯形区域;二是３５ ～４２°Ｎ、１１５ ～１２５°Ｅ的倒三角形区;三是西藏的部分地区。     

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。     

全球增暖1.5/2℃下中国区域极端降水的风险变化及其影响因子

利用24个CMIP6全球气候模式的逐日降水模拟资料,基于广义极值分布(GEV)模型,研究了全球增暖1.5/2℃下我国20、50和100 a重现期极端降水的未来风险变化。可以发现,相对于历史时期(1995—2014年),全球升温1.5和2℃下极端降水发生概率风险空间分布相近,总体上呈现增加趋势,但额外增暖0.5℃将导致更高的风险。如50 a重现期极端降水,在增暖1.5/2℃下其重现期将分别变为17/14 a,极端降水将变得更加频繁。不同区域对气候变暖的响应存在区域差异,其中中国西部长江黄河中上游和青藏高原地区、中国东部长江黄河中下游及其以南地区,极端降水发生概率比达到3以上,局部更是达到5以上,为我国极端降水气候变化响应高敏感区域。进一步,基于概率分布函数从理论角度探讨了位置和尺度参数对发生概率风险的影响与贡献度量,并用于探讨极端降水气候平均态和变率变化对极端降水发生风险的影响,结果显示：位置和尺度参数的增量变化、风险变化率存在着显著的东西部差异,从而导致极端降水发生风险的影响因素存在差异。如中国西部尽管极端降水气候平均态和变率变化幅度不大,但因风险变化率较高,从而导致该区域的发生风险大...     

青藏高原东边缘山区极值风速推算方法的研究

利用1971—2001年青藏高原东边缘地区12个气象台站风资料,分析了影响极值风速的主要因子,通过对地形的参数化处理,建立了极值风速随海拔高度和地形参数变化的拟合模型,可推算该地山区的极值风速,并利用山区临时观测资料对拟合模型进行了检验。结果表明,利用引入地形参数所建立的极值风速拟合模型来推算山区极值风速具有一定的可行性。     

拟合水工设计反应谱的人工地震波的生成与Huang变换校正

根据非平稳输入下建立的功率谱与均值反应谱之间的关系,合成基于水工设计反应谱的人工地震波,并对其幅值进行修正,降低了高频区误差作用.为了解决加速度时程积分后的速度、位移时程的零线漂移现象,利用Huang变换得到加速度时程的固有模态函数,这种最低频率固有模态函数分量通常情况下代表原始信号的趋势或均值;再对去掉均值后的加速度时程进行积分,得到的速度、位移时程不存在零线漂移问题.     

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.     

引起广西西风系统特大暴雨的低空急流分析

对1990～2004年的15年间特大暴雨天气过程进行分析研究,探讨低空急流的发生发展规律和急流对广西西风系统特大暴雨的影响。