One of the fundamental questions concerning the nature and prediction of the oceanic states in the equatorial eastern Pacific is how the turnabout from a cold water state (La Nina) to a warm water state (El Nino) takes place, and vice versa. Recent studies show that this turnabout is directly linked to the interannual thermocline variations in the tropical Pacific Ocean basin. An index, as an indicator and precursor to describe interannual thermocline variations and the turnabout of oceanic states in our previous paper (Qian and Hu, 2005), is also used in this study. The index, which shows the maximum subsurface temperature anomaly (MSTA), is derived from the monthly 21-year (1980-2000) expendable XBT dataset in the present study. Results show that the MSTA can be used as a precursor for the occurrences of El Nino (or La Nina) events. The subsequent analyses of the MSTA propagations in the tropical Pacific suggest a one-year potential predictability for El Nino and La Nina events by identifying ocean temperature anomalies in the thermocline of the western Pacific Ocean. It also suggests that a closed route cycle with the strongest signal propagation is identified only in the tropical North Pacific Ocean. A positive (or negative) MSTA signal may travel from the western equatorial Pacific to the eastern equatorial Pacific with the strongest signal along the equator. This signal turns northward along the tropical eastern boundary of the basin and then moves westward along the north side of off-equator around 16°N. Finally, the signal returns toward the equator along the western boundary of the basin. The turnabout time from an El Nino event to a La Nina event in the eastern equatorial Pacific depends critically on the speed of the signal traveling along the closed route, and it usually needs about 4 years. This finding may help to predict the occurrence of the El Nino or La Nina event at least one year in advance. 相似文献
The potential significance of the contributions of long chain iso and anteiso monomethyl alkanes (LC MMAs) from plants of the Lamiaceae, a family that includes many culinary and aromatic herbs of cultural value, to sediments and soil has been evaluated by analyzing 21 specimens from 16 species of Lamiaceae from different environmental settings in Hubei Province, central China, and comparing the results with those from tobacco plants, which are established to be rich in these compounds. Odd numbered iso-alkanes (i-C25 to i-C36) and even numbered anteiso-alkanes (a-C25 to a-C36) are abundant in the Lamiaceae (1.9-23.2% and 0.9-23.8% of total alkanes, respectively). The proportions of LC MMAs are relatively high and comparable to those in the tobacco plant. However, chain lengths in the Lamiaceae are longer than those in tobacco plants and compound-specific δ13C values are more negative than in the tobacco plants, potentially allowing distinction of their different origins. The results imply that Lamiaceae, in addition to some other land plants, can be important sources of LC iso- and anteiso-alkanes in sediments and soils. 相似文献
泥石流物源识别与计算是科学评估泥石流规模、危害程度以及综合治理的基础,而传统的地面调查和光学遥感手段难以有效识别山区植被茂密覆盖下的泥石流物源。机载激光雷达(light detection and ranging,LiDAR)技术能有效去除植被获取真实的地表形态,为泥石流物源的识别提供了新的解决方案。以九寨沟震区的日则沟泥石流为例,基于高分辨率机载LiDAR数据结合震前卫星影像,开展泥石流物源识别研究,根据物源所处位置和在山体阴影图像上的色彩及纹理差异,将物源分为崩滑物源、坡面物源和沟道物源,并建立各类型物源的机载LiDAR识别标志与遥感解译方法。共解译出日则沟泥石流物源155处,总面积达1.06 km2,占流域总面积的31.56%,在此基础上分析了各类型物源的发育分布规律。为泥石流物源的精确计算提供理论参考和数据支撑,进一步服务于九寨沟震区泥石流的防治与风险评价。