引起全球海平面变化的因素是复杂多样的,大气压、风、大洋环流以及海水密度的变化,都会引起海平面在时间、空间上的变化,而海水温度的变化是海平面变化的主要原因。该文利用法国Archiving, Validation and Interpretation of Satellite Oceanographic data(AVISO)的海表面高度异常数据,计算了1992年10月至2007年1月间,全球海平面的平均上升速度,同时详细解算海平面上升速度的全球空间分布,分析全球海平面的变化趋势并将海平面变化同美国国家海洋大气署(NOAA)的Optimum Interpolation Sea Surface Temperature (OISST)海表面温度数据进行了比对和相关分析。 相似文献
The Sebei gasfield is the largest biogas accumulation found in China and many reservoirs and seal rocks superposed on a syndepositional anticline in Quaternary. The biogas charging and dissipating process and its distribution have been a research focus for many years. The authors suggest a diffusing and accumulating model for the biogas, as they find that the shallower the gas producer, the more methane in the biogas, and the lighter stable carbon isotope composition of methane. Based on the diffusing model, diffused biogas is quantitatively estimated for each potential sandy reservoir in the gasfield, and the gas charging quantity for the sandy reservoir is also calculated by the diffused gas quantity plus gas reserve in-place. A ratio of diffusing quantity to charging quantity is postulated to describe biogas accumulating state in a sandy reservoir, if the ratio is less than 0.6, the reservoir forms a good gas-pool and high-production layer in the gasfield, which often occurs in the reservoirs deeper than 900 m; if the ratio is greater than 0.6, a few gas accumulated in the reservoir, which frequently exists in the reservoirs shallower than 900 m. Therefore, a biogas accumulation model is built up as lateral direct charging from gas source for the sands deeper than 900 m and indirect charging from lower gas-bearing sands by diffusion at depth shallower than 900 m. With this charging and diffusion quantitative model, the authors conducted re-evaluation on each wildcat in the central area of the Qaidam Basin, and found many commercial biogas layers.
The COMPTEL unidentified source GRO J 1411-64 was observed by INTEGRAL and XMM-Newton in 2005. The Circinus Galaxy is the
only source detected within the 4σ location error of GRO J1411-64, but in here excluded as the possible counterpart. At soft X-rays, 22 reliable and statistically
significant sources (likelihood >10) were extracted and analyzed from XMM-Newton data. Only one of these sources, XMMU J141255.6-635932,
is spectrally compatible with GRO J1411-64 although the fact the soft X-ray observations do not cover the full extent of the
COMPTEL source position uncertainty make an association hard to quantify and thus risky. At the best location of the source,
detections at hard X-rays show only upper limits, which, together with MeV results obtained by COMPTEL suggest the existence
of a peak in power output located somewhere between 300–700 keV for the so-called low state. Such a spectrum resembles those
in blazars or microquasars, and might suggest at work by the models accordingly. However, an analysis using a microquasar
model consisting on a magnetized conical jet filled with relativistic electrons, shows that it is hard to comply with all
observational constrains. This fact and the non-detection at hard X-rays introduce an a-posteriori question mark upon the
physical reality of this source, what is discussed here. 相似文献
为了解热带中西太平洋延绳钓黄鳍金枪鱼(Thunnus albacares)适宜的温跃层参数分布区间,采用Argo浮标温度信息和中西太平洋渔业委员会(The Western and Central Pacific Fisheries Commission,WCPFC)的黄鳍金枪鱼延绳钓渔获数据,绘制了热带中西太平洋月平均温跃层特征参数和月平均CPUE的空间叠加图,用于分析热带中西太平洋黄鳍金枪鱼中心渔场时空分布和温跃层特征参数间的关系。分析结果表明:热带中西太平洋温跃层上界深度、温度具有明显的季节性变化,而温跃层下界深度、温度季节性变化不明显,黄鳍金枪鱼中心渔场分布和温跃层季节性变化有关。全年中心渔场的位置分布在温跃层上界深度高值区域,随温跃层上界深度高值区域季节性南北移动。在新几内亚以东纬向区域(5°N~10°S,150°E~170°W)上界深度值全年都在70~100m之间,全年都是延绳钓黄鳍金枪鱼中心渔场。中心渔场上界温度多在26℃以上,但是在上界温度超过30℃区域,CPUE值较小。中心渔场主要分布在温跃层下界深度两条高值带之间区域,在温跃层下界深度超过300m和小于150m区域,CPUE值均偏低。中心渔场主要分布在下界温度低于13℃区域,下界温度超过17℃难以形成中心渔场。频次分析和经验累积分布函数计算其适宜温跃层特征参数分布,得出中西太平洋黄鳍金枪鱼适宜的温跃层上界温度和深度分别是27~29.9℃和70~109m;适宜的温跃层下界温度和深度分别是11~13.9℃和250~299m。文章初步得出中西太平洋黄鳍金枪鱼中心渔场温跃层各特征参数的适宜分布区间及季节变化特征,为我国金枪鱼实际生产作业提供技术支持。 相似文献