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21.
Chunli Liu Qiwei Sun Qianguo Xing Zhenlin Liang Yue Deng Lixin Zhu 《Ocean Science Journal》2017,52(1):1-10
The spatio-temporal variabilities in sea surface temperature (SST) were analyzed using a time series of MODIS datasets for four separate regions in the Yellow Sea (YS) that were located along a north-south axis. The space variant temporal anomaly was further decomposed using an empirical orthogonal function (EOF) for estimating spatially distributed SST. The monthly SSTs showed similar temporal patterns in each region, which ranged from 2.4°C to 28.4°C in the study years 2011 to 2013, with seasonal cycles being stronger at the higher latitudes and weaker at the lower latitudes. Spatially, although there were no significant differences among the four regions (p < 0.05) in any year, the geographical distribution of SST was characterized by an obvious gradient whereby SST decreased along the north-south axis. The monthly thermal difference among regions was largest in winter since the SST in the southeast was mainly affected by the Yellow Sea Warm Currents. The EOF1 mode accounted for 56% of the total spatial variance and exhibited a warming signal during the study period. The EOF2 mode accounted for 8% of the total variance and indicated the warm current features in the YS. The EOF3 mode accounted for 6% of the total variance and indicated the topographical features. The methodology used in this study demonstrated the spatio-temporal variabilities in the YS. 相似文献
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ZHANG Yi HE Lijuan WANG Jiyang XU Xing SHA Zhibing GONG Yuehu WANG Hongbing LIANG Jinqiang 《海洋学报(英文版)》2011,30(1):59-67
Using the collected 433 heat flow values, we estimated the bases of methane hydrate stability zone (BHSZ), in northern South China Sea (NSCS). Through comparing BHSZs with the depths of bottom simulating reflectors (BSRs), in Shenhu Area (SA), we found that there are big differences between them. In the north of SA, where the water depth is shallow, many slumps developed and the sedimentation rate is high, it appears great negative difference (as large as -192%). However, to the southeast of SA, where the water depth is deeper, sedimentation rate is relatively low and uplift basement topography exists, it changes to positive difference (as large as +45%). The differences change so great, which haven’t been observed in other places of the world. After considering the errors from the process of heat flow measurement, the BSR depth, the relationship of thermal conductivity with the sediments depth, and the fluid flow activities, we conclude that the difference should be not caused by these errors. Such big disagreement may be due to the misunderstanding of BSR. The deviant “BSRs” could represent the paleo-BSRs or just gas-bearing sediment layers, such as unconformities or the specific strata where have different permeability, which are not hydraterelated BSRs. 相似文献
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利用云南水管仪观测资料检测地球自由振荡 总被引:1,自引:1,他引:1
利用云南省数字化水管仪的观测资料,采用功率谱密度估计方法,在没有对资料进行去固体潮处理的情况下,准确获得了2004年12月26日苏门答腊大地震激发的0S4~0S30基频球型自由振荡,并与前人的观测结果进行比较,同时对照了PREM模型的理论计算周期,发现水管仪观测与这三者符合得非常好,除0S4振型的观测周期和周期1、周期2、周期3的相对误差均大于0.3%外,其余的差别在3‰以下。研究表明,利用数字化水管仪观测资料的确可以提取到苏门答腊大地震激发的地球球型振荡,这就为地球自由振荡的研究提供了一种新的观测手段。 相似文献
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???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????о??????? ????????????????????????????????б?′????????????????????????????????????????????????? 相似文献
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淄川区为淄博市辖区之一,位于市境中部,南邻博山区,西接章丘县,北与周村、张店、临淄3区相连,东傍青州市,东南与临朐、沂源2县接壤。东西长49km,南北宽42km,总面积999.07km2。淄川区辖4个街道办事处,14个镇,3个乡,人口为67.29万人。境内自东向西有淄河、孝妇河、范阳河、青杨河4条河流。该区工业较发达,区内的支柱产业为建材、化工、纺织、制药、陶瓷。全区交通以铁路、公路为主,有张博路、胶王路、湖南路等国道和省道,交通非常便利。1矿产资源现状1.1矿产资源的基本特点淄川区在地层区划上属于华北地层区、鲁西地层分区、泰安地层小区。在… 相似文献