夏季亚洲阻塞高压识别及其对中国东北气候异常的可能影响:不同再分析资料对比

基于阻塞高压（阻高）客观识别方法,利用1979-2016年夏季（6-8月）NCEP-Ⅰ、NCEP-Ⅱ逐日再分析资料和ERA-interim逐6 h再分析资料对识别结果进行对比分析;并以D类（130°-160°E）阻高为例,讨论其对6月中国东北地区气候的可能影响。结果表明:NCEP-Ⅰ和NCEP-Ⅱ再分析资料对阻高活动天数、发生频次及年代际变化的识别结果差异较小,而ERA-interim与前两种资料的结果差别较大。3种再分析资料下,夏季各类阻高活动天数均与500 hPa高度场存在相应的显著相关区,且形态相近。但前两种资料对于各类阻高的表征结果较为一致,而ERA-interim再分析资料对各类阻高面积和范围的表征偏小。6月D类阻高活动日数与东北地区气温和降水关系密切,D类阻高活跃年,大气环流以经向型为主,东北地区低层低温、暖平流,高层高温、冷平流的结构指示大气层结不稳定,且东北上空为异常低压环流控制,上升气流较强,有利于6月东北地区出现低温多雨天气。鄂霍次克海地区是6月罗斯贝波的重要来源地之一,而6月D类阻高的形成可能与海-陆温差有关。      

第三次国土调查城镇村内部细化调查方法研究

基于第三次国土调查城镇村内部细化调查的工作要求和数据基础,梳理了城镇村调查边界划定、城镇村土地利用框架构建、城镇村土地利用图斑转绘、城镇村土地利用类型判定、外业补充调查等城镇村内部细化调查环节;归纳了1:2000基础地理信息数据、不动产登记数据、基础性地理国情监测数据等已有调查成果在各调查环节的数据转换利用方式,为城镇...     

中国城际公路零担专线网络空间结构特征

基于社会网络分析方法,利用国家交通运输物流公共信息平台2018年全国地级及以上城市的公路零担专线数据,从城市节点、城际联系、子网络3个层面对中国城市网络结构特征进行识别,结果表明：1）上海、天津、郑州、广州、杭州在网络中处于主导性地位,根据货流组织系数,可将城市节点划分为强中心、次强中心、弱中心、从属型4种类型。2）在首位联系总量排名前十的城市中,输出型城市和输入型城市的比例为4∶1,反映货流流向的不均衡性。由公路零担专线数据刻画的网络空间呈现显著的距离衰减规律,集中在500 km的专线数量占比为41.9%。3）公路零担专线网络形成东北―冀鲁蒙社区、中原社区、关中社区、江淮社区、泛珠三角―长三角社区、长株潭社区6个具有显著地域特征的城市社区,社区结构表现出明显的空间集聚和跨行政区特征。最后,提出以下建议：增强成渝城市群公路零担专线服务能力,发挥核心城市产业集聚和带动作用;优化边缘城市产业结构,加强交通与产业融合;积极引导无车承运人平台发挥网络规模化效应,提高公路货运组织效率。     

MODIS遥感数据格式及使用方法综合分析

针对当前MODIS遥感资料推广应用中数据产品使用者和开发者在实际工作中经常遇到数据格式和计算方法方面的问题,分析了MODIS遥感资料的数据格式,以及如何使用定标后的1B数据计算地球视场的光谱反射率和辐射率进而生成各种气象和环境监测应用产品,并给出了一个数据处理应用实例.     

The role of water mass dynamics in controlling bacterial abundance and production in the middle Adriatic Sea

Month-to-month fluctuations in the abundance of bacteria and heterotrophic nanoflagellates (HNF) and bacterial production, as well as various chemical (nutrients, oxygen) and physical (salinity, temperature) parameters were analysed at a station located in the open middle Adriatic Sea during one decade (1997-2006). Being influenced by both coastal waters and open Adriatic circulation in the surface layer, and by the deep Adriatic water masses in the deep layers (100 m), this station is quite suitable for detecting the environmental changes occurring in the open Adriatic Sea with respect to the circulation of its water masses and their long-term changes and anomalies. Multivariate methods were used to identify seasonal and inter-annual changes of the investigated parameters, associating observed changes to the changes in Adriatic water masses and circulation regimes. The analyses showed that bacterial abundance and production were controlled by different water mass dynamics during 1997-2001 compared to 2002-2006 period, particularly noticeable in different seasonal patterns of biological parameters. The interplay between North Adriatic Dense Water (NAdDW) and Levantine Intermediate Water (LIW) resulted in a change in the available nutrients (NAdDW is poor in orthophosphates), and as a consequence different bacterial abundance and production. A few periods were examined in detail, such as 2004, when LIW inflow was particularly strong and was accompanied by an increase of bacterial and HNF abundances, as well as of bacterial production.     

Data-based forecasting of beach volumes on monthly to yearly timescales

Data-based methods for forecasting beach volumes are tested using ground-measured bathymetry from Duck, North Carolina, comprising 26 profiles, 20 year duration and one-month resolution. Derived beach volume time series show weak seasonal and strong event signals. The forecasting methods used are: Holt–Winters (standard and modified), three types of linear regression, and a default forecast in which the latest measurement persists unchanged into the future. Improved forecast accuracies are obtained by two modifications to Holt–Winters, involving an autocorrelation correction and long-term trend-damping, and by smoothing the fitting data using running medians or wavelet approximations. Beach volume forecasts are tested mainly at monthly intervals up to 12 months ahead, with further tests at up to 36 months ahead. Overall, modified Holt–Winters performs best and the default forecast second-best. With an added artificial seasonal signal, modified Holt–Winters outperforms the other methods more substantially.     

Discrimination of spurious self-correlation in nondimensionalized analyses of fluid dynamical data

Nondimensionalization of variables enables us to treat experiment data much more simply and efficiently by decreasing the number of variables. In some cases, trivial conclusions (which Kenney, 1982, called spurious self-correlation) result from a formal application of dimensional analyses. In contrast, in some cases fully significant conclusions can be derived. We first discuss how to construct nondimensional variables retaining the physical meanings of variables. We then propose simple and efficient methods, especially the use of “spurious triangle (SpT)”, to discriminate between significant conclusions and spurious self-correlations in the analysis of nondimensionalized variables.     

RTK配合全站仪在数字化测图中的应用

本文主要叙述了RTK配合全站仪进行数字化测图的可行性,介绍了RTK的系统组成、工作原理,并对RTK配合全站仪联合测图的作业流程进行了一系列论述;指出了RTK与全站仪联合进行数字化测图是一种高速度、高效率的新方法.     

节点-场所模型及其应用的研究进展与展望

系统梳理了节点-场所模型及其应用的相关研究成果,发现已有研究主要集中在利用模型分析枢纽地区节点与场所发展特点、探究枢纽地区类型特点、预测枢纽地区发展潜力等方面。基于高速交通网和互联网的快速发展,提出未来节点-场所模型应用研究的重点方向：开展不同类型交通枢纽地区节点功能和场所功能的协同作用研究,探索旅游地空间节点功能和场所功能的平衡发展路径,探究不同要素流网络中节点城市的节点和场所协同发展,揭示节点-场所模型视域下地域空间演化的特征与规律,构建跨学科多元化的研究方法体系。通过加强节点-场所模型的应用研究,有利于优化地域空间结构,提升地域空间功能,丰富地域空间发展的理论研究,对制定地域空间发展规划具有重要启示。     

中国旅游城市生态安全系统评估与类型划分研究 ——基于节点权重约束网络DEA模型

采用 DPSIR概念模型作为旅游生态安全系统的基本形态,引入网络 DEA模型测度系统运行效率,从“投入-产出”的研究视角探究旅游生态安全系统内部作用机理。采用结构方程模型对网络 DEA模型的结构及权重加以限制,构建具有节点权重约束的网络 DEA评价模型,对主要旅游城市生态安全系统实例进行实证研究。研究结果认为：将生态安全系统分为自然运行阶段、管理反馈阶段2阶段进行效率评价,加权综合得出各旅游城市生态安全系统的综合评价值,以此为依据将样本城市划分为按系统效率的评价结果将其分划为绿色发展型、稳步发展型、高效发展型、双向提升型和管理能力缺失型,针对各类型旅游城生态安全系统特点提出改善其生态安全系统状况的建议。