西太平洋俯冲板块对中国东北构造演化的影响及其动力学意义

中国东北地区在古生代期间以众多微陆块的拼合以及古亚洲洋的闭合为特征,其后又经历了中-新生代太平洋构造域及中生代蒙古—鄂霍茨克构造域的叠加与改造,以致东北地区的构造行迹显得极为复杂,而大兴安岭重力梯级带及其西部地区构造演化是否与西太平洋俯冲有关仍然存在争议.本研究利用分布于中国东北、华北地区以及韩国、日本等部分台网所接收的近震与远震走时数据获得了中国东北地区壳幔精细的三维P波速度结构.成像结果显示,太平洋板块持续西向俯冲,俯冲板片的前缘停滞在大兴安岭—太行山重力梯度带以东区域的地幔转换带之中;长白山火山区上地幔存在着显著的低速异常体,推测西太平洋板块的深俯冲脱水导致了上地幔底部岩石的熔点降低,从而形成了大范围的部分熔融物质上涌.通过分析上地幔的速度结构,我们认为由于太平洋板块的大规模西向深俯冲,在大地幔楔中发生板片脱水、低速热物质上涌等复杂的地球动力学过程;俯冲板片前缘带动上地幔中不均匀分布的地幔流强烈作用于上部的岩石圈,这对东北地区深部壳幔结构乃至大兴安岭重力梯级带的形成、演化有着重要的影响.     

Ree geochemistry characteristics of stratigraphic samples in the abalieke region,Western Kunlun北大核心

The Abalieke region locats in the central section of the western Kunlun polymetallic (Pb, Zn, Cu, etc) ore belt, an area with major potential for further base metal deposit discoveries. This paper reports REE data for 82 samples from 8 stratigraphic sections for Huoshilafu formation in the Abalieke region. To attempt to solve the origin of ore-forming materials using REE geochemistry. Although total REE contents are quite variable ( Σ REE = 7. 52 × 10-6-220. 70 × 10-6, ΣLREE = 5. 82 × 10-6-198. 46 × 10-6, ΣHREE = 1. 49 × 10-6- 32. 74 × 10-6 and Y = 4. 77 × 10-6-91. 30 × 10-6) , chondrite-normalized REE patterns of the majority of samples are uniformly LREE-enriched (averaging ΣLREE/ΣHREE = 6. 57), with remarkably fractionation of LREE and HREE [averaging (La/Yb)N = 8. 20], slightly negative Eu anomalies (averaging δEu = 0. 77) and insignificant Ce anomalies (averaging δCe = 0. 88). The results demonstrate that REE characteristics of stratigraphic samples from Abalieke region are similar to those of rock and ore samples from other representative deposits (Tiekelike, Tamu, Kalangu, Tuokuziate) in the western Kunlun polymetallic ore belt, which indicate a close genetic relationship between the ore-forming materials and the host strata for the majority of deposits in this belt.     

基于卫星加速度恢复地球重力场的去相关滤波法

基于加速度法恢复地球重力场时,卫星加速度是由卫星轨道数值微分得到,而数值微分会放大高频误差,进而降低了重力场解算结果的精度.针对数值微分导出的加速度误差具有有色噪声的特性,提出利用去相关算法构造白化滤波器对加速度有色噪声进行滤波处理,并根据去相关的基本原理分别构造了基于三点差分和ARMA模型的白化滤波器.采用不同噪声背景的CHAMP卫星模拟轨道数据进行解算,结果表明:基于去相关滤波解算的重力场模型精度均要比等权解算的重力场模型精度高,初步验证了去相关滤波方法的有效性.     

Three-dimensional finite element analysis of laterally loaded bridge caisson foundations in gravelly soil

Acta Geotechnica - In this paper, we propose a three-dimensional finite element model that can simulate the caisson foundation behavior in gravelly soil. The soil model adopts a combination of the...     

莒南县努力搞好土地开发整理工作

莒南县地处鲁东南地区,东临日照市,西靠临沂市河东区,北接日照市莒县,南连临沭县,东南与江苏省交界.辖18个乡镇,937个行政村,99万人口,土地总面积1 755 km^2,耕地面积7.27万hm^2,列入国家、省、市土地开发整理的后备资源规划面积2.67万hm^2（40万亩）,土地后备资源开发潜力较大.     

河南省淅川县单岗遗址两周时期动物资源的开发与利用

本文主要探讨河南省淅川县单岗遗址两周时期人类与家养动物之间的关系.该遗址两周时期发现13种动物,其中家养动物有猪、狗、马、黄牛、绵羊和山羊,家养动物的可鉴定标本数和最小个体数分别占全部可鉴定的哺乳动物数量的91.73%和70.67%.猪在家养动物中的数量最多,可鉴定标本数和最小个体数比例分别为69.04%和33.33%,其他家养动物的数量比例在1.78%~14.67%之间.家养动物提供了主要肉量,黄牛提供的肉量最多,占36.41%.马右P 2发现马衔磨蚀的痕迹,马第1节趾骨发现严重的骨赘,说明马被役用而且承担相当的工作量.马在普通聚落的出现、肉食消费和畜力开发等现象,反映马的功能从晚商时期贵族"御用"转向世俗化.     

太湖水体和沉积物细菌群落分布格局及其驱动因素

水体和沉积物是湖泊生态系统中迥异但又紧密相连的两类生境,栖息在这两类生境中的细菌在维持生态系统平衡和驱动元素循环中起着关键性作用。为了探究湖泊水体和沉积物细菌群落的分布格局,本文对太湖四个湖区水体和沉积物中细菌群落进行调查,基于高通量测序技术和统计分析手段,分析这两类生境中的细菌群落组成和多样性水平、分布特征及其驱动因素。结果表明:放线菌门(Actinobacteria)、变形菌门(Proteobacteria)和蓝细菌门(Cyanobacteria)是水体细菌群落中最主要的细菌门,而沉积物中Proteobacteria占据优势地位。在两类生境中,太湖西部区域细菌群落丰富度和独特性(LCBD)相对较高,各区域群落结构表现出显著性差异。对水体而言,电导率、pH值、PC1(重金属组成)和沉积物孔隙度是驱动细菌丰富度的重要因子,PC1、水温及pH值是影响细菌群落LCBD的重要因子,而细菌网络复杂性随pH值的增加而增加,且在高pH环境中占主导地位;对沉积物而言,其丰富度和LCBD的重要影响因子均是沉积物中总磷和锂,细菌网络复杂性随金属元素施加的环境压力增大而降低,但随总磷、磷酸盐和铵态氮浓度的...     

环境因子及生态补水对乌梁素海“黄苔”年际暴发面积的影响(1986—2021年)

“黄苔”是丝状绿藻大量增殖并漂浮聚集在水面的一种藻类水华,是乌梁素海面临的重大水环境问题之一。本研究基于文献数据整合和Landsat TM/OLI系列卫星影像反演,追溯了乌梁素海近35年(1986—2021年)的水质变化和“黄苔”暴发历程,通过相关性分析和多元线性回归等方法,分析了乌梁素海“黄苔”暴发的年际影响因子。乌梁素海水体化学需氧量、总氮(TN)、总磷(TP)浓度在年尺度上呈下降趋势,但仍处于富营养状态(TLI(∑)>50)。相关性分析结果表明,乌梁素海“黄苔”暴发面积与TP、TN、氨氮、气温呈显著正相关,与出水量、风速、沉水植被面积、入水量呈显著负相关;多元线性回归结果表明,沉水植被面积和出水量是影响乌梁素海“黄苔”暴发面积的主要因子。生态补水工程的实施增加了乌梁素海出入水量,降低了水体TP、TN浓度,也造成沉水植被退化,使“黄苔”暴发的扩张趋势得以遏制。然而,乌梁素海现有营养条件、基质条件仍适宜附着藻生长和“黄苔”暴发。在全球气候变化背景下,气温升高和风力减弱可能会加剧这一现象。建议采取多种措施以防控乌梁素海“黄苔”暴发,如生态补水、外源营养盐管控、沉水植被调控、引水活...     

Dynamics and driving mechanisms of asymmetric human water consumption during alternating wet and dry periods

Increases in human water consumption (HWC) and consequent degradation of the ecological environment are common in arid regions. Understanding the mechanisms behind these processes is important for sustainable development. Analyses of changes in HWC between alternating wet and dry periods are carried out in four arid inland basins in Central Asia and China (Syr Darya, Tarim, Heihe and Shulehe river basins). Based on runoff records, the presence of an asymmetric HWC response is proved (p < 0.01), with an increase in HWC during wet periods and a muted decrease during subsequent dry periods. This behaviour is interpreted by invoking theories from behavioural economics at the individual and community levels. A simple model based on these theories is shown to be able to reproduce the observed dynamics and is used to discuss the importance of strengthening institutional factors for water sustainability.     

A three-dimensional variational data assimilation system for a size-resolved aerosol model: Implementation and application for particulate matter and gaseous pollutant forecasts across China

A three-dimensional variational(3DVAR) data assimilation(DA) system is presented here based on a size-resolved sectional aerosol model, the Model for Simulating Aerosol Interactions and Chemistry(MOSAIC) within the Weather Research and Forecasting model coupled to Chemistry(WRF-Chem) model. The use of this approach means that both gaseous pollutants such as SO_2, NO_2, CO, and O_3 as well as particulate matter(PM_(2.5), PM_(10)) observational data can be assimilated simultaneously.Two one-month parallel simulation experiments were conducted, one with the assimilation of surface hourly concentration observations of the above six pollutants released by the China National Environmental Monitoring Centre(CNEMC) and one without assimilation in order to verify the impact of assimilation on initial chemical fields and subsequent forecasts. Results show that, in the first place, use of the DA system can provide a more accurate model initial field. The root-mean-square error of PM_(2.5), PM_(10), SO_2, NO_2, CO, and O_3 mass concentrations in analysis field fell by 29.27 μg m~(-3)(53.5%), 34.5 μg m~(-3)(50.9%),30.36 μg m~(-3)(64.2%), 8.91 μg m~(-3)(39.5%), 0.46 mg m~(-3)(47.4%), and 15.11 μg m~(-3)(51.0%), respectively, compared to a background field without assimilation. At the same time, mean fraction error was reduced by 42.6%, 53.1%, 45.2%, 43.1%,69.9%, and 48.8%, respectively, while the correlation coefficient increased by 0.51, 0.55, 0.48, 0.38, 0.47, 0.65, respectively.Secondly, the results of this analysis reveal variable benefits from assimilation on different pollutants. DA significantly improves PM_(2.5), PM_(10), and CO forecasts leading to positive effects that last more than 48 h. The positive effects of DA on SO_2 and O_3 forecasts last up to 8 h but that remains relatively poor for NO_2 forecasts. Thirdly, the influence of assimilation varies in different areas. It is possible that the positive effects of DA on PM_(2.5) and PM_(10) forecasts can last more than 48 h across most regions of China. Indeed, DA significantly improves SO_2 forecasts within 48 h over north China, and much longer CO assimilation benefits(48 h) are found in most regions apart from north and east China and across the Sichuan Basin. DA is able to improve O_3 forecasts within 48 h across China with the exception of southwest and northwest regions and the O_3 DA benefits in southern China are more evident, while from a spatial distribution perspective, NO_2 DA benefits remain relatively poor.