黄河下游沿岸农业景观中蜘蛛对非农生境的响应（英文）

Non-crop habitats have been suggested to impact local biodiversity significantly in agricultural landscapes. However, there have been few studies of the effects of less-focused non-crop habitats(orchard, wetland, pit and ditch) on variation of spider abundance. In this study, spiders in 30 woodlands were captured using pitfall traps in Fengqiu County, China, and the effects of local and landscape variations at different scales(50 m, 100 m, 200 m, 350 m and 500 m) on spider abundance were analysed. The most important variation that influenced spider abundance at the 500 m scale was the less-focused non-crop habitat(LNH) cover, and 10% was an appropriate proportion of LNH cover to sustain high level of spider diversity in the investigated landscape. Non-metric multidimensional scaling analyses revealed that there were significant differences in the spider composition among the high, medium and low LNH coverage. Based on indicator species analysis, different spider species were associated with landscapes with different levels of LNH cover. Lycosidae, which accounted for 48% of the total specimens, preferred woodland habitats neighbouring areas with high LNH cover. Compared with woodland habitats, LNH provided more diverse food sources and habitat to sustain more spider species in the study area. Furthermore, linear elements composed of vegetation, such as pits and ditches, may prevent agricultural intensification by enhancing landscape connectivity and providing habitats for different spiders. Our findings may provide a theoretical basis for biodiversity conservation in agro-ecosystems and top-down control of pests.     

混沌系统单变量可预报性研究

对于n维的混沌系统, 不同变量的可预报性是不同的。为了研究混沌系统中单个变量的可预报性, 本文在以前提出的混沌系统整体的非线性局部Lyapunov指数基础上(李建平等, 2006), 引入了单变量的非线性局部Lyapunov指数及其相关统计量, 进一步完善了非线性误差增长理论。通过应用到几个混沌个例, 结果表明单变量的非线性局部Lyapunov指数及其相关统计量可以用来定量地研究多维混沌系统中不同变量的可预报性, 系统不同变量的可预报性之间不是相互独立的, 而是单个变量的可预报期限与系统整体的可预报期限之比都近似保持一个常数, 但各个变量的常数值有所不同。     

欧亚北方森林MODIS 14数据的林火变化分析——以俄罗斯欧洲地区为例

人为或自然因素造成的森林火灾常导致森林覆盖和结构的变化,对森林碳循环产生重大影响。MODIS热异常-火灾产品(MOD14)包含地表火灾位置、可信度、火点辐射能量及其他属性信息,可用于火灾频率、等级及其变化的监测。本研究以俄罗斯欧洲地区的北方森林为研究对象,采用2005-2010年每日MODIS14数据和GIS空间分析方法,对研究区过火像元进行判别提取,分析该地区林火时空变化规律,并探讨驱动因素。结果显示,俄罗斯欧洲地区森林火灾主要分布在中南部。近年来,火灾数量呈上升趋势,2010年的火灾覆盖范围是2005年的1.5倍;年内火灾发生情况随时间波动,火险期为每年的4-10月;极端干旱天气造成的的特大型火灾事件在本研究结果中得以反映。     

Reclassification of the Meso- and Neoproterozoic Chronostratigraphy of North China by SHRIMP Zircon Ages

Abstract: High-quality zircon U-Pb ages acquired from Meso- and Neoproterozoic strata in North China in recent years has provided a high-resolution chronostratigraphic framework for dating. A basis of this high-level chronostratigraphic system provides the foundation for a global Precambrian study and stratigraphic correlation and so recent geological studies have focused attention on systemic SHRIMP zircon dating. A chronology of Meso- and Neoproterozoic strata and the time of origin of the overlying Changcheng System is given on the basis of new SHRIMP zircon dating from the Qianxi Complex and diabase of the Chuanlinggou Formation. A new tectonostratigraphy for a Neoproterozoic chronostratigraphic framework in the southeastern margin of the North China continent is underpinned by the new SHRIMP zircon dating of a Neoproterozoic mafic magma diabase in the Jiao-Liao-Xu-Huai Sub-Province.     

甘肃侵入岩及岩石构造组合特征

本文简要叙述了甘肃侵入岩的时空分布、构造岩浆旋回和构造岩浆岩带划分,将甘肃侵入岩划分为4个构造岩浆旋回、5个构造岩浆岩省、10个构造岩浆岩带,简述了各构造岩浆岩省侵入岩基本特征和岩石构造组合特征,探讨了其形成的大地构造环境,利用现有资料初步建立了甘肃侵入岩年代格架。     

高分影像场景分类的半监督深度卷积神经网络学习方法

传统基于深度卷积神经网络的场景分类方法往往需要大量标记样本用于模型的参数训练,在标记训练集数量有限的情况下,学习得到的特征泛化能力降低.针对这一问题,本文提出了高分影像分类的半监督深度卷积神经网络学习方法(3sCNN),采用自学习半监督策略,训练阶段不断增加训练样本:首先,通过有限的标记数据对深度网络进行初步训练;然后...     

Effect of Groundwater Fluctuations on Pore Pressures and Earth Pressures on Coastal Excavation Retaining Walls

Pore water and earth pressures acting on retaining structures are investigated using an efficient coastal double-layered excavation model to determine offshore excavation responses to groundwater fluctuations outside foundation pits. Total pore water pressure includes excess pore water pressure (due to groundwater fluctuations) and steady pore water pressure (due to steady seepage) determined using one-dimensional consolidation theory of double-layered soil and one-dimensional steady-state flow theory, respectively. Rankine's active and passive earth pressures are obtained from pore water pressure. This method is applicable to arbitrary groundwater fluctuation conditions. How physical parameters affect pore water pressure is numerically investigated using examples, demonstrating the method's practicality for calculating pore water and earth pressures.     

长江南京段岸线资源GIS评价与分析

岸线资源是特殊的国土资源,岸线资源评价是岸线资源研究的主要工作之一。以往的研究仅从自然和经济的角度出发,对于生态条件的考虑鲜有涉及。为了达到经济和生态的双赢,根据长江南京段岸线资源的特点,综合考虑自然、经济和生态因素,构建了岸线前沿水深、岸线稳定性、岸线陆域宽度、岸线集疏运条件、水源保护区、风景名胜区六项指标组成的评价指标体系。选取合理的评价单元,运用GIS空间分析技术和ArcGISEngine开发包,在完成单项指标评价的基础上,依据建立的指标体系对研究区内的岸线资源进行综合评价,以期为长江岸线南京段的合理利用与开发提供参考依据。     

近12年北京暖季对流天气的气候特征

对北京地区1994～2005年暖季(5～9月)雷暴、冰雹、暴雨和大风等各种对流天气进行了气候统计和分析。统计结果表明:北京地区暖季发生对流的概率很高,按日数统计的气候概率达47.77%,有雷暴相伴的强对流天气大风、暴雨和冰雹气候概率分别为27.29%、10.84%和6.29%。另外,北京地区对流天气一般可连续出现3 d,强对流天气也可连续出现2 d。北京地区对流季节长达4个月,其中6、7、8月为主要的对流月,这三个月中雷暴发生的气候概率均超过50%。暴雨多发季节为7月中旬到8月上旬。冰雹集中于6月中、下旬。在对流天气的地理分布上,北京西北部、东北部山区及西南部山区多对流天气,中心区和东南部平原地区对流天气较少。暴雨呈西南-东北方向带状分布,东北部山区、中部和东南部平原地区多发生暴雨,而西北部和西南部山区很少发生暴雨。山区冰雹明显多于平原。西北部和东北部山区大风偏多,西南部霞云岭大风最少。暴雨有明显的夜发性,即夜间次数多,降水量更大。冰雹集中发生在午后到傍晚,占冰雹总站次的76.72%。夜间发生冰雹的概率非常小,上午到中午也不多。     

区域综合地质调查助力乡村振兴的关键内容、战略路径与未来对策

区域综合地质调查是助力乡村振兴的基础性工作和重要技术支撑。本研究基于地质视角解读乡村振兴,围绕乡村人地安全、产业发展、地质文化、环境保护等方面进行剖析,提出地质灾害调查、工程地质评价、水文地质调查、农业地质调查、旅游地质遗迹调查等区域综合地质调查助力乡村振兴的关键内容;为提高助力效率效果,需做好项目顶层设计、制定乡村地区区域地质调查技术要求等标准、构建服务地方工作机制、开展系统人才培训培养等战略路径。未来乡村发展中,应进一步解决区域统筹部署与重点发展村镇选择、综合地质调查与乡村规划建设空间尺度匹配、综合地质调查和纵向专业性调查配合使用、工程地质评价与乡村地下空间集约利用、地质文化村建设与乡村规划建设衔接等问题,不断提高区域综合地质调查技术方法的服务能力,为乡村可持续振兴提供解决思路和方案。