波浪能发电平台系泊系统耦合动力响应及水动力分析

本文以一种新型波浪能发电平台为研究对象,分别采用基于三维势流理论的软件Sesam和基于有限体积法的Flow3D软件,对平台和发电浮子进行水动力分析。应用Sesam-HydroD模块计算了平台和发电浮子在频域内的运动响应,将平台和发电浮子的垂荡运动响应进行对比分析,结果表明,在正常海况下,平台与发电浮子垂荡运动相对幅值满足捕能系统的发电需求。应用Flow3D软件对平台整体进行水动力分析,结果表明,平台与发电浮子相对运动振幅在0.3～0.4m间,可满足发电需求。在此基础之上,应用Orcaflex软件,通过时域耦合动力分析的方法,计算了平台在自存工况和作业工况下的运动响应和系泊缆动张力响应,结果表明:在自存工况下,平台锚泊线的安全系数符合规范要求,平台具有良好的安全性能,能够适应恶劣的海洋环境;在作业工况下,平台的垂荡运动响应对波浪方向变化并不敏感,捕能系统不受波浪方向变化的影响,满足发电需求。另外,本文的研究结果能为类似的海洋平台的研究提供建议和参考。     

Photosynthetic response of floating Ulva prolifera to diurnal changes of in-situ environments on the sea surface

During yellow sea green tide outbreak, the thalli of Ulva prolifera drifted more than 350 km on the sea surface from off shore of Jiangsu Province to Qingdao city, where they were exposed to complex changes of local environments. The purpose of this study is to investigate the response of the thalli to diurnal changes of environments on the sea surface, and a sea surface environment simulator (SSES) was designed to simulate the natural environment of floating U . prolifera mat. A control experiment is designed in the laboratory, which was processed under suitable conditions (20°C for temperature, 72 μmol photons/(m 2 ·s) for light intensity and 30 for salinity), and an in-situ research was conducted to study the photosynthetic responses of floating U . prolifera to diurnal changes of environments. The results show that the photosynthetic efficiency of the thalli decreased gradually with time, and decreased rapidly after 14:00 local time (LT). After exposed to the environment on the sea surface for 6 h, the photosynthetic activity of the thalli decreased significantly. Furthermore, physiological-level and molecular-level experiments revealed that non-photochemical quenching (NPQ), cyclic electron flow (CEF) and energy redistribution between PSI and PSII all played an important role in the strong photosynthetic plasticity of U . prolifera . NPQ is the most important photoprotective responses to environmental changes before 12:00 LT. The results also confirmed that the CEF and energy redistribution between PSI and PSII are the main synergistic eff ects for the thalli to adapt to the environmental changes when the process NPQ cannot work. And the result can further reveal the reason why U . prolifera can adapt to the living condition of long distance drift on the sea surface. The findings of this research could provide a theoretical basis for explaining outbreaks of the green tide and instructing the management of the problem.     

结合深度学习和图割法的遥感影像建筑物检测

提出一种基于卷积神经网络和图割法的自动提取高分影像建筑物的方法。首先,通过卷积神经网络定位与检测建筑物的位置,逐一提取单个建筑物轮廓,利用检测结果分别建立建筑物和非建筑物的高斯混合模型（GMM）,然后结合最大流最小割的图像分割方式实现全局优化,完成建筑物初步提取,最后用形态学进行优化。通过试验证明了该方法的可行性。     

对基础测绘"十四五"规划的若干思考

着眼于明确机构改革后基础测绘在自然资源管理业务格局中的职责定位、工作重点,以及如何按照新《测绘法》更好地履行"为经济建设、国防建设、社会发展和生态保护服务"的法定要求,分析了"十四五"基础测绘发展的基本形势,据此提出"十四五"规划工作的基本思路和主要遵循,明确了工作重点和相关措施,相关观点已经在"十四五"基础测绘规划编制工作中得到体现。     

兼顾志愿者地理信息的国家应急测绘公众服务平台设计

随着互联网技术的进步和新一代网络信息传播模式的深入发展,志愿者地理信息的研究和应用日益广泛,但由于其规范性和均一性方面的缺陷,在应急公共服务领域,志愿者信息的有效利用依旧是亟需突破的难题。本文将重点介绍国家应急测绘公众服务平台设计思路和总体架构,并结合志愿者地理信息特点,探讨该类信息在国家应急测绘公众服务平台建设中的处理流程和应用模式,力求在应急信息资源共享和服务平台共建方面进行新的尝试,为我国突发事件应急体系建设提供有益实践。     

A novel spatial index using spatial analyses and hierarchical fuzzy expert system for obtaining green TOD: a case study in Tehran city

Sustainable development is a vital and challenging factor for managing urban growth smartly. This factor contains three main components, namely economic growth, ecological protection and social justice. Green Transit-Oriented Development (GTOD) is a consummate planning approach in line with those components. Implementation of GTOD in an urban area is underpinned by its quantification. Therefore, a quantitative spatial index based on several indicators related to TOD and Green urbanism concepts should be developed. In this study, Geo-spatial Information Science and hierarchical fuzzy inference system (HFIS) were employed to calculate the indicators and aggregate them, respectively. In order to showcase the feasibility of the proposed method, it was implemented in a case study area in the City of Tehran, Iran. The result of this method is an integrated spatial GTOD index, which measures the neighbourhoods’ GTOD levels. These measurements specify weaknesses and strengths of neighbourhoods’ factors. Therefore, this index helps decision-makers to plan neighbourhoods based on land use and public transit views. Additionally, the HFIS method helps decision-makers to consider criteria and indicators with their inherent uncertainties and aggregate them with much fewer rules. For evaluating the results, the developed GTOD index was assessed with municipal action planning and attraction maps. According to the outcomes of the assessment, it is concluded that the proposed method is adequately robust and efficient for smart and sustainable urban planning.     

一体化综合减灾智能服务系统研究

针对目前我国减灾服务重决策轻预警,减灾服务技术、系统、应用集成不够,尚缺乏完善的一体化综合减灾智能服务体系现状。该文从测绘地理信息视角,分析了室内外一体化应急定位、多源应急数据融合、灾害场景可视化、灾害模型分析服务等关键技术,构建了一体化综合减灾智能服务原型系统,并在国家基础地理信息中心和陕西省的相关应急部门进行了实际应用,实现了应急信息的一体化感知、定位、融合、分析、服务,为我国综合减灾决策分析提供了技术支撑。     

Semantic segmentation of high spatial resolution images with deep neural networks

Availability of reliable delineation of urban lands is fundamental to applications such as infrastructure management and urban planning. An accurate semantic segmentation approach can assign each pixel of remotely sensed imagery a reliable ground object class. In this paper, we propose an end-to-end deep learning architecture to perform the pixel-level understanding of high spatial resolution remote sensing images. Both local and global contextual information are considered. The local contexts are learned by the deep residual net, and the multi-scale global contexts are extracted by a pyramid pooling module. These contextual features are concatenated to predict labels for each pixel. In addition, multiple additional losses are proposed to enhance our deep learning network to optimize multi-level features from different resolution images simultaneously. Two public datasets, including Vaihingen and Potsdam datasets, are used to assess the performance of the proposed deep neural network. Comparison with the results from the published state-of-the-art algorithms demonstrates the effectiveness of our approach.     

基于多模CORS的网络RTK服务性能测试

从北斗地基增强系统建设出发,分析多模CORS实验网,提供多模网络RTK服务,增强北斗卫星导航系统的应用。根据实时测量精度、定位服务的时效性、时间可用性、空间可用性和实用性测试,评价实验网提供的网络RTK服务性能。测试结果表明通过加入北斗导航卫星系统信号,定位精度略为提高,可有效改善电离层模型,提高流动站固定的效率,可以解决困难环境的作业问题,提高作业效率。     

基于CityEngine的校园三维建模

针对平面地图描述建筑物不直观、复杂且具有限制性的缺点,以CityEngine软件为平台,选取铜陵学院为研究区域,对其进行三维可视化研究。利用ArcMap软件对铜陵学院的Google影像图进行矢量化,通过Cityengine软件创建新场景,基于CGA语言建立了研究区主要建筑物、道路、运动场、绿化区的三维模型。实验结果表明,虚拟三维场景地图相较二维平面图更直观、完整,对三维城市建模具有较好的应用与参考价值。