Through the geochemical analysis of two hundred-meters cores KD4 and ZK3 from Laizhou Bay,in this study,we determined the distribution law and controlling factors of the geochemical elements.We analyzed 24 elements with respect to their R factors and major principal components,which were combined with the source discrimination functions DFCr/Th and DFCa/Al to obtain the sediment source index and its variation with depth for this area.A comparison of the changes in climate indicators suggests a clear correlation between the source and climate changes.The results show that the Yellow River and surrounding short-term rivers are the main sediment sources in this area.The PC3 of the KD4 core and PC2 of the ZK3 core(e.g.,CaO,MnO,SiO2)exhibit significant variations and reflect the relative contributions of Yellow River sources.The deposition process can be divided into six stages:in Phase I(MIS 5c–MIS 5a),the Yellow River formed,and the composition of the Yellow River had a greater influence on the sedimentary composition of the study area.In Phase II(MIS 5a–MIS 3),the sediment sources of the Yellow River and the short-term streams in this area were wavering,with the sediments derived from short-term rivers playing a more important role.In Phase III(MIS 3),with a sharp drop in temperature,the study area was in the process of retreat,and the sediment source changed from the Yellow River to short-term rivers,after which the Yellow River source material remained the main sediment source for the region.A similar process occurred three more times in Phase IV(MIS 3–MIS 2),Phase V(MIS 2–MIS 1),and Phase VI(MIS 1).With changes in climate,especially during alternating sea-land phases,the sediment source varied in marine-terrestrial-marine phases,and the changes are observed as Yellow River source-surrounding provenance-Yellow River source.However,this process of change is not synchronized with the sea-land strata alternation. 相似文献
Atlantic salmon reared in recirculating aquaculture system (RAS) may lead to inappropriately high stocking density, because fish live in a limited space. Finding the suitable stocking density of Atlantic salmon reared in RAS is very important for RAS industry. In this paper, the influence of stocking density on growth and some stress related physiological factors were investigated to evaluate the effects of stocking density. The fish were reared for 220 days at five densities (A: 24 kg/m3; B: 21 kg/m3; C: 15 kg/m3; D: 9 kg/ m3 and E: 6 kg/m3 ). The results show that 30 kg/m3 might be the maximum density which RAS can afford in China. The stocking densities under 30 kg/m3 have no effect on mortality of Atlantic salmon reared in RAS. However, the specific growth rate (SGR), final weight and weight gain in the high density group were significantly lower than the lower density groups and middle density groups. Moreover, feed conversion rate (FCR) had a negative correlation with density. Plasma hormone T3 and GH showed significant decrease with the increase of the stocking density of the experiment. Furthermore, thyroid hormone (T3), GH (growth hormone) activities were decreased with stocking density increase. However, plasma cortisol, GOT (glutamic oxalacetic transaminase) and GPT (glutamic pyruvic transaminase) activities were increase with stocking density increase. And the stocking density has no effects on plasma lysozyme of Atlantic salmon reared in RAS. These investigations would also help devise efficient ways to rear adult Atlantic salmon in China and may, in a way, help spread salmon mariculture in China.
历史名人的行为轨迹反映了当时的历史文化背景,通过历史名人行为轨迹的空间化和可视化,可以对历史社会状态进行探索和分析。对历史名人的社交关系网络进行可视化研究,有利于剖析当时的政治背景与人物关系。目前,基于GIS的空间人文社会科学深层次分析方法和工具还很少,根据地理位置对历史人物的社交网络进行分时段的研究也很少。本文以玄奘和欧阳修为例,探索了基于WebGIS的历史人物轨迹空间可视化分析方法,基于核密度估计与标准差椭圆的空间分析方法,分析历史名人轨迹点的空间分布特征,统计迁徙指数、首都距、家乡距、成长地距以分析基于距离的轨迹点移动特点;分时段构建了历史名人的空间社交网络,并结合历史背景、名人事迹、名人作品和空间化结果进行了综合分析。分析结果表明: ① 历史名人的迁移轨迹与当时的历史人口迁移趋势基本是一致的,受社会变动影响较大;② 历史名人在事业上升期有更大的社交网络圈,而在人生没落阶段社交网络圈减小。本文对历史名人轨迹的空间可视化与分析方法进行了探索,可以为空间人文社会科学相关领域的分析研究提供参考。 相似文献
IntroductionSpatial index is the data structure between spatialoperation algorithms and spatial data objects, and itis usually used to improve the efficiency of spatialdata operations. Spatial index is one of the funda-ment techniques to manage the spatia… 相似文献