An assessment of a multi-model ensemble of decadal climate predictions     

A. Bellucci  R. Haarsma  S. Gualdi  P. J. Athanasiadis  M. Caian  C. Cassou  E. Fernandez  A. Germe  J. Jungclaus  J. Kröger  D. Matei  W. Müller  H. Pohlmann  D. Salas y Melia  E. Sanchez  D. Smith  L. Terray  K. Wyser  S. Yang 《Climate Dynamics》2015,44(9-10):2787-2806

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Climatological analysis of dust storms in the area surrounding the Tengger Desert during 1960–2007     

Qingyu Guan  Jing Yang  Shilei Zhao  Baotian Pan  Chenglin Liu  Di Zhang  Tao Wu 《Climate Dynamics》2015,45(3-4):903-913

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Decomposing the meridional heat transport in the climate system     

Haijun Yang  Qing Li  Kun Wang  Yu Sun  Daoxun Sun 《Climate Dynamics》2015,44(9-10):2751-2768

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空间互相关方法在分析海底沙波迁移规律中的应用     

甘雨  马小川  阎军 《海洋学报》2019,41(4):42-52

海底沙波具有显著的活动性并能够对海底工程设施造成潜在威胁，因此对海底沙波活动性的评估一直以来受到广泛关注。目前大多数研究者仍利用平面剖面对比来分析海底沙波的迁移特征。然而，该方法难以全面高效地获取海底沙波二维平面迁移矢量。本文基于2007年和2009年的高分辨率多波束测深数据，详细阐述了空间互相关方法在分析北部湾东南海域海底沙波迁移规律中的应用过程。利用实测数据进行对比分析，获得了研究区海底沙波的活动特征，并进一步讨论了空间互相关算法中不同参数的选取对结果的影响。结果显示，利用空间互相关分析方法能够有效获取海底沙波二维迁移矢量，获得的海底沙波迁移速率和迁移方向与前人研究成果吻合，表明了该方法的可行性和可靠性。但在对实际DTM数据进行空间互相关分析时，需根据海底沙波形态、数据质量等因素选取合适的参数及矢量获取方法。本研究实验了一种确定海底沙波迁移规律的新方法，该方法将有效提升获得海底地形变化规律的效率和准确度，可获得更加精细的海底地形动力过程。  相似文献   

融合三边测量和PDR的室内定位关键技术分析及应用     

陈鹏  廖明  刘武平  呙维  宋杨 《测绘通报》2019,(2):17-21

随着无线室内定位技术的发展，室内定位效果有了明显提升，但仅采用无线定位方法，定位点跳动频繁，定位效果较差，难以获取连续位置的准确定位。实际应用中不同的硬件平台也会影响具体定位方法的选择，通常需采用多种技术手段的组合以达到理想定位效果。本文基于微信公众平台的服务需要，提出了一种基于三边测量定位和步行者航位推算（PDR）融合的室内定位方法，通过地图信息匹配纠正定位结果，得到连续稳定的定位结果；并集成室内地图可视化技术，研发了一套基于微信平台的三维室内定位系统，在实际工程场景中进行应用，具有较好的定位效果。  相似文献   

Simulation of landscape spatial layout evolution in rural-urban fringe areas: a case study of Ganjingzi District   总被引：2，自引：0，他引：2  

Jun Yang  Andong Guo  Yonghua Li  Yuqing Zhang  Xueming Li 《地理信息系统科学与遥感》2019,56(3):388-405

In recent years, the rapid expansion of urban spaces has accelerated the mutual evolution of landscape types. Analyzing and simulating spatio-temporal dynamic features of urban landscape can help to reveal its driving mechanisms and facilitate reasonable planning of urban land resources. The purpose of this study was to design a hybrid cellular automata model to simulate dynamic change in urban landscapes. The model consists of four parts: a geospatial partition, a Markov chain (MC), a multi-layer perceptron artificial neural network (MLP-ANN), and cellular automata (CA). This study employed multivariate land use data for the period 2000–2015 to conduct spatial clustering for the Ganjingzi District and to simulate landscape status evolution via a divisional composite cellular automaton model. During the period of 2000–2015, construction land and forest land areas in Ganjingzi District increased by 19.43% and 15.19%, respectively, whereas farmland, garden lands, and other land areas decreased by 43.42%, 52.14%, and 75.97%, respectively. Land use conversion potentials in different sub-regions show different characteristics in space. The overall land-change prediction accuracy for the subarea-composite model is 3% higher than that of the non-partitioned model, and misses are reduced by 3.1%. Therefore, by integrating geospatial zoning and the MLP-ANN hybrid method, the land type conversion rules of different zonings can be obtained, allowing for more effective simulations of future urban land use change. The hybrid cellular automata model developed here will provide a reference for urban planning and policy formulation.  相似文献   

Semantic segmentation of high spatial resolution images with deep neural networks     

Haiping Yang  Jiancheng Luo  Fang Chen 《地理信息系统科学与遥感》2019,56(5):749-768

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.  相似文献   

Assessing the impacts of ecological-living-productive land changes on eco-environmental quality in Xining City on Qinghai-Tibet Plateau,China     

ZiYi Gao  HaiFeng Zhang  XiaoNan Yang  ZhiYuan Song 《寒旱区科学》2019,(3)

The Ecological-living-productive land(ELPL) classification system was proposed in an effort to steer China's land pattern to an ecological-centered path, with the development model shifting from a single function into more integrated multifunction land use. The focus is coordinating the man-land contradictions and developing an intensive, efficient and sustainable land use policy in an increasingly tense relationship between humans and nature. Driven by socioeconomic change and rapid population growth, many cities are undergoing urban sprawl, which involves the consumption of cropland and ecological land and threatens the ecological balance. This paper aims to quantitatively analyze the critical effects of ELPL changes on eco-environmental quality according to land use classification based on leading function of ecology, living and production from 1990 to 2015 with a case study of Xining City. Also, four future land use scenarios were simulated for2030 using the Future Land Use Simulation(FLUS) model that couples human and natural effects. Our results show a decrease in productive land(PL) and an increase in ecological land(EL) and living land(LL) in Xining City. Forestry ecological land(FEL) covered the top largest proportion; agriculture productive land(APL) showed the greatest reduction and urban and rural living land(U-RLL) presented a dramatic increase. The eco-environmental quality improved in 1990-2010, mainly affected by the conversion of APL to FEL and GEL. However, the encroachment of U-RLL into APL, other ecological land(OEL) and FEL was the main contributor to the decline in eco-environmental quality in 2010-2015 as well as the primary reason for the increase area of lower-quality. The Harmonious Development(HD)-Scenario, characterized by a rational allocation of LL and PL and a better eco-environment, would have implications for planning and monitoring future management of ELPL, and may represent a valuable reference for local policy-makers.  相似文献   

ASO-S卫星工程科学应用系统的数据库设计          下载免费PDF全文

葛蕴翊  黎辉  黄宇  李敬伟  雷仕俊  藏京京  苏杨  封莉  李友平  李瑛  徐遵磊  李翔 《天文学报》2020,61(4):46

先进天基太阳天文台(Advanced Space-based Solar Observatory, ASO-S)卫星是我国首颗太阳观测卫星, 主要观测太阳耀斑和日冕物质抛射以及产生它们的磁场结构. ASO-S卫星的科学应用系统是科学卫星工程的6大系统之一, 它连接科学用户和卫星数据, 为将卫星的科学数据转化为科学成果提供保障. 科学应用系统的数据库是连接软件与海量数据的枢纽, 为科学数据生产和用户服务及运行提供数据层的支撑. 介绍了科学应用系统的数据库架构设计、数据库的选择以及数据库性能优化和表样例. 这里的数据库包括观测计划、工程参数、运维日志、科学数据、定标数据和特征事件识别等数据库. 这些数据库的建设将为ASO-S卫星工程科学应用系统的顺利运行提供数据支撑, 也可以为未来其他科学卫星类似数据库的搭建提供参考和借鉴.  相似文献   

Karyological analysis of the sea cicada Blepharipoda liberate Shen from the Rizhao intertidal zone,China     

Zhou  Liqing  Wang  Xuemei  Wu  Biao  Sun  Xiujun  Zhao  Qing  Zhang  Gaowei  Liu  Zhihong  Yang  Aiguo 《中国海洋湖沼学报》2019,37(1):169-175

Journal of Oceanology and Limnology - Blepharipoda liberate Shen is a commercially valuable seafood species that has important ecological significance in Shandong Province, China. Although B....  相似文献