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1.
2017年我国"蛟龙"号载人潜水器完成了为期5年的试验性应用,期间累计下潜100余次,形成和建立了科学完善的应用保障体系和专业的应用人才队伍。以"蛟龙"号试验性应用中运行与保障的实践经验为基础,针对其中设备与备品备件管理、运行作业管理、拆检总装管理、数据资料查询与利用等方面的重要需求,设计开发了一套"蛟龙"号载人潜水器运行与保障信息管理系统,通过信息化平台实现设备资源、作业成果以及经验积累传承之间的高效衔接与复用,最大限度地降低装备运行成本、提高作业效率、保障海上作业安全。文章提出的载人潜水器运维体系能够为我国其他行业或部门的载人潜水器、远程缆控机器人(ROV)、水下自治机器人(AUV)等重大海洋装备的运行与保障提供有益参考借鉴。  相似文献   
2.
广州城市流浪乞讨者的空间管治与日常生活实践   总被引:2,自引:0,他引:2  
尹铎  蔡慕言  梁金多  朱竑  高权 《地理科学》2019,39(3):450-458
以广州流浪乞讨者为研究对象,通过深度访谈等质性研究方法,解读针对流浪乞讨者的空间管治政策与手段,分析流浪乞讨者的日常生活实践与生境协商。研究发现:在地方城市政策对流动性与公共秩序限制的双重压力下,在流浪乞讨者的日常生活实践中,不仅有针对管治行动者而刻意为之的特殊营建,亦有基于程式化生活流程对自我身份认同的重塑与真情实感的展演。地方政府基于空间目标的救助与真实存在的日常生活实践存在着一种张力。研究关注了城市边缘群体日常生活对地理意义的主动塑造过程,对全面理解并规范管理中国城市流浪乞讨现象具有借鉴意义。  相似文献   
3.
Global research progress on coastal flooding was studied using a bibliometric evaluation of publications listed in the Web of Science extended scientific citation index. There was substantial growth in coastal flooding research output, with increasing publications, a higher collaboration index, and more references during the 1995–2016 period. The USA has taken a dominant position in coastal flooding research, with the US Geological Survey leading the publications ranking. Research collaborations at institutional scales have become more important than those at global scales. International collaborative publications consistently drew more citations than those from a single country. Furthermore, coastal flooding research included combinations of multi-disciplinary categories, including ‘Geology' and ‘Environmental Sciences Ecology'. The most important coastal flooding research sites were wetlands and estuaries. While numerical modeling and 3 S(Remote sensing, RS; Geography information systems, GIS; Global positioning systems, GPS) technology were the most commonly used methods for studying coastal flooding, Lidar gained in popularity. The vulnerability and adaptation of coastal environments, their resilience after flooding, and ecosystem services function showed increases in interest.  相似文献   
4.
风和径流量对长江口缺氧影响的数值模拟   总被引:1,自引:1,他引:0  
受自然和人类活动的影响,海洋缺氧现象日益严重,威胁着海洋生态环境,海洋缺氧问题已经引起了人们的广泛关注。本文应用区域海洋模式并耦合生态模式,对东海的生态系统进行了数值模拟和分析研究。与观测数据比较显示,该模型能较好地模拟长江口外生态变量的分布趋势。另外本文通过设置不同敏感性实验,探讨风和径流量对长江口底层缺氧现象的影响,结果分析表明,风和径流量对长江口外缺氧区的形成有显著的影响。径流量变化虽然对长江口外缺氧区的季节变化影响并不显著,但是对缺氧区域面积却存在显著的影响。径流量增加,水体层化增强,表层叶绿素浓度增加,最终导致缺氧区域范围扩展;径流量减小,水体层化减弱,表层叶绿素浓度减小,缺氧区域范围缩小。风向和风速的改变不仅影响长江口外缺氧区的季节变化,还影响缺氧区域面积。  相似文献   
5.
This paper studies dynamic crack propagation by employing the distinct lattice spring model (DLSM) and 3‐dimensional (3D) printing technique. A damage‐plasticity model was developed and implemented in a 2D DLSM. Applicability of the damage‐plasticity DLSM was verified against analytical elastic solutions and experimental results for crack propagation. As a physical analogy, dynamic fracturing tests were conducted on 3D printed specimens using the split Hopkinson pressure bar. The dynamic stress intensity factors were recorded, and crack paths were captured by a high‐speed camera. A parametric study was conducted to find the influences of the parameters on cracking behaviors, including initial and peak fracture toughness, crack speed, and crack patterns. Finally, selection of parameters for the damage‐plasticity model was determined through the comparison of numerical predictions and the experimentally observed cracking features.  相似文献   
6.
Remote sensing data have been widely applied to extract minerals in geologic exploration, however, in areas covered by vegetation, extracted mineral information has mostly been small targets bearing little information. In this paper, we present a new method for mineral extraction aimed at solving the difficulty of mineral identification in vegetation covered areas. The method selected six sets of spectral difference coupling between soil and plant (SVSCD). These sets have the same vegetation spectra reflectance and a maximum different reflectance of soil and mineral spectra from Hyperion image based on spectral reflectance characteristics of measured spectra. The central wavelengths of the six, selected band pairs were 2314 and 701 nm, 1699 and 721 nm, 1336 and 742 nm, 2203 and 681 nm, 2183 and 671 nm, and 2072 and 548 nm. Each data set’s reflectance was used to calculate the difference value. After band difference calculation, vegetation information was suppressed and mineral abnormal information was enhanced compared to the scatter plot of original band. Six spectral difference couplings, after vegetation inhibition, were arranged in a new data set that requires two components that have the largest eigenvalue difference from principal component analysis (PCA). The spatial geometric structure features of PC1 and PC2 was used to identify altered minerals by spectral feature fitting (SFF). The collecting rocks from the 10 points that were selected in the concentration of mineral extraction were analyzed under a high-resolution microscope to identify metal minerals and nonmetallic minerals. Results indicated that the extracted minerals were well matched with the verified samples, especially with the sample 2, 4, 5 and 8. It demonstrated that the method can effectively detect altered minerals in vegetation covered area in Hyperion image.  相似文献   
7.
随着海岛遥感影像数据的不断积累,传统数据存储管理方法越来越难以满足需求。针对上述问题,利用云存储技术对海岛影像数据进行分块组织,建立分布式海岛影像数据集,并在优化数据存储的同时,设计了一套海岛信息多形式展示平台。实现了信息检索、数据传输与审核、分析评价、成果展示和共享等功能。  相似文献   
8.
在日照市开展多目标区域地球化学调查,获取了表层土壤和深层土壤地球化学数据,通过对获得的地球化学参数进行统计分析,确定了日照市土壤地球化学基准值和背景值,认为日照市除部分元素或指标外,大部分元素或指标土壤地球化学基准值和背景值与全省土壤地球化学基准值和背景值接近。研究发现,日照市As,Cd,Cr,Cu,Hg,Ni,Pb,Zn等8种重金属元素背景值含量低于国家土壤环境质量标准的土壤一级标准限值,日照市土壤质量基本保持自然背景水平;而受工业化生产和城市化建设等后期人为活动影响,日照市表层土壤中Cd,C,Hg,N,P,S,Se,Corg等元素或指标出现明显富集,应引起重视。  相似文献   
9.
2015年以来,秦皇岛近岸海域暴发了绿潮,对北戴河旅游区的环境和生态系统造成了严重影响。绿藻微观繁殖体在绿潮的形成过程中起到重要作用,主要包括孢子、配子、幼苗和营养片段。绿藻微观繁殖体作为绿潮的“种源”,其分布规律可以反映绿潮的“藻源”位置。本研究于2016年4-9月和2017年1月对秦皇岛近岸海域绿藻微观繁殖体的调查,探究了其分布规律以及生物量变化。结果显示,绿藻微观繁殖体主要分布在近岸海域,由近岸向远岸海域逐渐降低。绿藻微观繁殖体的数量在7、8月份最高,在冬季最低。受绿潮影响严重的海域微观繁殖体数量高于其它海域。秦皇岛近岸海域的绿藻微观繁殖体为该海域绿潮的种源,其分布规律表明秦皇岛近岸海域绿潮起源于本地。  相似文献   
10.
ABSTRACT

High performance computing is required for fast geoprocessing of geospatial big data. Using spatial domains to represent computational intensity (CIT) and domain decomposition for parallelism are prominent strategies when designing parallel geoprocessing applications. Traditional domain decomposition is limited in evaluating the computational intensity, which often results in load imbalance and poor parallel performance. From the data science perspective, machine learning from Artificial Intelligence (AI) shows promise for better CIT evaluation. This paper proposes a machine learning approach for predicting computational intensity, followed by an optimized domain decomposition, which divides the spatial domain into balanced subdivisions based on the predicted CIT to achieve better parallel performance. The approach provides a reference framework on how various machine learning methods including feature selection and model training can be used in predicting computational intensity and optimizing parallel geoprocessing against different cases. Some comparative experiments between the approach and traditional methods were performed using the two cases, DEM generation from point clouds and spatial intersection on vector data. The results not only demonstrate the advantage of the approach, but also provide hints on how traditional GIS computation can be improved by the AI machine learning.  相似文献   
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