冲绳海槽中部岩心沉积物中浮岩的物理性质和地球化学特征差异及其对岩浆活动的指示

为进一步了解冲绳海槽浮岩的物理性质和地球化学特征差异,对冲绳海槽中部岩心沉积物S9中的浮岩进行了微观结构和地球化学组成分析。结果显示,冲绳海槽中部存在白色、灰白色及棕色3种浮岩,其中灰白色浮岩又可以根据构造特征分为气孔构造和流动构造浮岩两个亚类。浮岩的地球化学组成表明白色、灰白色及棕色浮岩都是由玄武质岩浆经过充分的分离结晶作用形成的流纹质或流纹英安质火山岩。玄武质岩浆在演化的过程中发生了斜长石、角闪石、辉石、Fe-Ti氧化物、磷灰石等矿物的结晶分离。结合有孔虫14C年龄,认为浮岩是冲绳海槽中部距今13.1 ka左右的长英质火山活动的产物。演化程度相对较低的棕色浮岩具有比白色浮岩高的TiO2, Al2O3, Fe2O3, MgO, CaO含量,且棕色浮岩具有相对低的稀土总量和轻稀土总量。根据浮岩的物理性质及地球化学组成差异推测,岩浆的黏度和压力是影响浮岩构造特征的主要因素。黏度大、连续减压的岩浆易于形成具有流动构造和密集气孔的浮岩,黏度小、阶段性减压的岩浆易于形成气孔大而疏松的浮岩。     

Effect of the Coefficient on the Performance of A Two-Layer Boussinesq-Type Model

The coefficients embodied in a Boussinesq-type model are very important since they are determined to optimize the linear and nonlinear properties.In most conventional Boussinesq-type models,these coefficients are assigned the specific values.As for the multi-layer Boussinesq-type models with the inclusion of the vertical velocity,however,the effect of the different values of these coefficients on linear and nonlinear performances has never been investigated yet.The present study focuses on a two-layer Boussinesq-type model with the highest spatial derivatives being 2 and theoretically and numerically examines the effect of the coefficient on model performance.Theoretical analysis show that different values for(0.13≤α≤0.25)do not have great effects on the high accuracy of the linear shoaling,linear phase celerity and even third-order nonlinearity for water depth range of 0相似文献   

甘肃西秦岭区域成矿模式

通过对西秦岭区域成矿特点和区域构造演化阶段的讨论,选择区内主要矿床就控矿地质因素、成矿时代、物质来源等特征进行对比,根据矿床成矿模式概括区域成矿模式。提出新元古代、晚古生代、晚中生代是本区大规模成矿期,对甘肃西秦岭地区成矿环境的分析认识进一步深化,对指导区域矿产评价和预测具有指导意义。     

LANDFORM MORPHOLOGIC RELATIONS BETWEEN INTER-GULLIED AND GULLIED LAND AREAS--A CASE STUDY OF THE WANGJIAGOU WATERSHED IN THE WEST OF SHANXI PROVINCE

Previous studies on erosional relations between inter-gullied and gullied lands have mainly concentrated on exploration of water and sediment relations, with few quantitative studies of evolution relations between inter-gullied land and gullied landform erosion in small catchments. This paper, using information from a 1:5000 digital orthophotomap (DOM), digital elevation model(DEM), and topographic map of the same period and of the same scale, quantitatively analyzes the impact and interactions of inter-gullied and gullied land geomorphologic characteristics on the dissected extent of a catchment using orthogonal polynomial regression analysis. Results indicate that gullies play a leading role in the catchment morphologic evolution and extent of cracked ground surface. When inter-gullied land areas are the same, a 0. 1 km2 gullied land area has the maximum effect on the erosive evolution intensity of the catchment cracked degree. The smaller the catchment area is, the greater the extent of cracked ground surface and gully intensity would be. The geomorphologic evolution mechanism of gullied catchments can be explained as a function of geomorphologic indicators of inter-gullied and gullied land characteristics.     

Impacts of native vegetation on the hydraulic properties of the concentrated flows in bank gullies

To quantify the impacts of native vegetation on the spatial and temporal variations in hydraulic properties of bank gully concentrated flows, a series of in situ flume experiments in the bank gully were performed at the Yuanmou Gully Erosion and Collapse Experimental Station in the dry-hot valley region of the Jinsha River, Southwest China. This experiment involved upstream catchment areas withone-and two-year native grass(Heteropogon contortus) and bare land drained to bare gully headcuts, i.e., Gullies 1, 2 and 3. In Gully 4, Heteropogon contortus and Agave sisalana were planted in the upstream catchment area and gully bed, respectively. Among these experiments, the sediment concentration in runoff in Gully 3 was the highest and that in Gully 2 was the lowest, clearly indicating that the sediment concentration in runoff obviously decreased and the deposition of sediment obviously increased as the vegetation cover increased. The concentrated flows were turbulent in response to the flow discharge. The concentrated flows in the gully zones with native grass and bare land were sub-and supercritical, respectively. The flow rate and shear stress in Gully 3 upstream catchment area were highest among the four upstream catchment areas, while the flow rate and shear stress in the gully bed of Gully 4 were lowest among the four gully beds, indicating that native grass notably decreased the bank gully flow rate and shear stress. The Darcy–Weisbach friction factor(resistance f) and flow energy consumption in the gully bed of Gully 4 were notably higher than those in the other three gully beds, clearly indicating that native grass increased the bank gully surface resistance and flow energy consumption. The Reynolds number(Re), flow rate, shear stress, resistance f, and flow energy consumption in the gully beds and upstream areas increased over time, while the sediment concentration in runoff and Froude number(Fr) decreased. Overall, increasing vegetation cover in upstream catchment areas and downstream gully beds of the bank gully is essential for gully erosion mitigation.     

江苏金坛和尚墩旧石器遗址地层的古地磁年代与磁化率研究

北方黄土研究中磁化率分析已越来越多运用到第四纪风尘堆积研究中。采用古地磁极性柱结合磁化率曲线比对定年的方法,初步确定江苏金坛和尚墩遗址750cm厚的地层年龄为330kaBP,对应磁化率曲线判断该区域分别经历了24kaBP左右、110kaBP左右、190—240kaBP左右、300kaBP左右的4个暖湿期,其中间隔有3个干冷时期,具有完整的3个气候旋回。对应地层发育的4个古土壤层、3个黄土层的风尘堆积—古土壤序列。研究表明,虽然古地磁极性定年的方法有一定的局限性,但在以磁化率信息为辅助的条件下,可在一定程度上消除这些局限,获得较为准确的地层年代,多种证据表明这种方法是可靠的。     

南京汤山驼子洞洞穴堆积及其意义

通过对南京汤山驼子洞洞穴堆积观察描述和样品分析测试,结合前人研究成果和汤山地区地质地貌演化的历史,讨论了驼子洞堆积的时代、堆积过程和方式,并对其蕴含的构造、地貌、气候和生物进化等古环境信息进行了合理的挖掘。初步研究表明驼子洞堆积可能是跨早更新世与中更新世早期的地层,其上部含哺乳动物化石的堆积可能反映了偏暖的气候环境。     

传统村落景观基因信息链与自动识别模型构建——以陕西省为例

传统村落作为活的文化遗产,承载了大量历史记忆,是地域文化景观基因识别与模型构建研究的重要切入点。以陕西省71个国家级传统村落为例,基于景观基因理论建立陕西省传统村落景观基因识别体系,识别出陕西省传统村落景观基因特征;运用类型学原理和N级编码理论对景观基因进行编码,构建陕西省传统村落景观基因信息链并生成基因谱系;借鉴生物学中“胞-链-形”DNA碱基序列模型,提取出环境基因、建筑基因、农耕文化基因和宗族文化基因四个公共基因作为景观基因元（胞）,以村内道路系统作为基因链,构建传统村落景观基因DNA模型与自动识别模型,以此对传统村落的区位、类型、特征和文化基因进行自动识别。为传统村落景观基因信息有效传承与存储,以及乡村建设动态发展提供理论借鉴。     

近20a来巢湖流域生态服务价值空间分异机制的地理探测

生态系统服务功能是生态系统和生态过程形成和维持的自然环境条件及作用。基于1995—2017年遥感分类数据,对研究区按3 km×3 km幅度网格化2019个样方,利用空间统计和缓冲区等方法进行巢湖流域生态服务价值时空演变特征分析,应用地理探测器工具揭示生态服务价值空间分异的主导因子及因子交互作用机制,并提出生态服务价值空间优化策略。结果表明：① 巢湖流域生态服务价值量由1995年的303.17亿元分别下降为2005年300.95亿元和2017年287.70亿元,近20a来减少约5.11%,年均下降率0.23%,其中合肥市区、巢湖南部和东部地区降速明显;② 生态服务价值等级空间转移分析表明,巢湖流域低级别生态服务价值区域在扩展,中等及高级别区域在缩小。以巢湖为核心的缓冲区分析表明,20a来缓冲区核心环带内生态服务价值量下降18.55%,巢湖流域水环境保护核心区的生态系统功能变化值得关注;③ 地理探测分析表明,人为影响综合指数是生态服务价值空间分异的主导因子;地形、气象因素是重要影响因子;人为影响指数因子、自然因子及社会经济因子的交互协同增强效应共同影响了流域生态服务价值在空间上的分异效果。研究结果在一定程度上可为巢湖流域生态系统调控与优化提供理论依据。     

Impacts of SIS and CICE as Sea Ice Components in BCC_CSM on the Simulation of the Arctic Climate

Sea ice is a sensitive indicator of climate change and an important component of climate system models. The Los Alamos Sea Ice Model 5.0(CICE5.0) was introduced to the Beijing Climate Center Climate System Model(BCC_CSM) as a new alternative to the Sea Ice Simulator(SIS). The principal purpose of this paper is to analyze the impacts of these two sea ice components on simulations of basic Arctic sea ice, atmosphere, and ocean states. Two sets of experiments were conducted with the same configurations except for the sea ice component used, i.e., SIS and CICE. The distributions of sea ice concentration and thickness reproduced by the CICE simulations in both March and September were closer to actual observations than those reproduced by SIS simulations, which presented a very thin sea ice cover in September. Changes in sea ice conditions also brought about corresponding modifications to the atmosphere and ocean circulation. CICE simulations showed higher agreement with the reference datasets than did SIS simulations for surface air temperature, sea level pressure, and sea surface temperature in most parts of the Arctic Ocean. More importantly, compared with simulations with SIS, BCC_CSM with CICE revealed stronger Atlantic meridional overturning circulation(AMOC), which is more consistent with actual observations. Thus, CICE shows better performance than SIS in BCC_ CSM. However, both components demonstrate a number of common weaknesses, such as overestimation of the sea ice cover in winter, especially in the Nordic Sea and the Sea of Okhotsk. Additional studies and improvements are necessary to develop these components further.