Numerical Simulation of Magnetic Reconnection Driven by the Laser Helmholtz Capacitor-coil Targets     

XU Shan-shan  MEI Zhi-xing  ZHONG Jia-yong  LIN Jun 《Chinese Astronomy and Astrophysics》2021,45(2):131-146

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Sentinel-2卫星落叶松林龄信息反演   总被引：1，自引：0，他引：1  

唐少飞  田庆久  徐凯健  徐念旭  岳继博 《遥感学报》2020,24(12):1511-1524

林龄结构信息能够有效反映区域森林群落不同生长阶段的固碳能力，对于评估森林生态系统的健康状况具有重要意义。本研究以中国温带典型优势树种落叶松林为研究对象，分别选择其芽萌动期、展叶期和落叶期时段的Sentinel-2影像，采用多元线性回归（MLR）、随机森林（RF）、支持向量机回归（SVR）、前馈反向传播神经网络（BP）以及多元自适应回归样条（MARS）等5种方法依次构建落叶松林龄反演模型。通过相关性分析首先确定最佳遥感反演物候期，并在此基础上根据相关性差异筛选出5个最优特征变量用于模型反演，分别为冠层含水量（CWC），归一化水体指数（NDWI），叶面积指数（LAI），光合有效辐射吸收率（FAPAR）和植被覆盖度（FVC）。研究结果表明，展叶期为落叶松林最佳遥感反演物候期。除植被衰减指数（PSRI）以及落叶期的NDVI、RVI外，落叶松林龄与各指标之间均呈负相关关系，其中与冠层含水量（CWC）的相关性最高，pearson相关系数达到-0.74（p<0.01）。此外，不同模型反演结果表明，随机森林模型（RF）为最佳落叶松林龄估测模型，其平均决定系数R²和平均均方根误差RMSE分别为0.89和2.91 a；多元线性回归模型（MLR）的林龄估测结果最差，其平均决定系数R²和平均均方根误差RMSE仅为0.57和5.69 a，非线性模型能更好的解释林龄与建模变量之间的关系。  相似文献   

城镇化与生态环境耦合的动态模拟——研究进展与展望     

崔学刚  方创琳  刘海猛  刘晓菲  李咏红 《地理学报(英文版)》2020,30(2):333-352

Urbanization and eco-environment coupling is a research hotspot.Dynamic simulation of urbanization and eco-environment coupling needs to be improved because the processes of coupling are complex and statistical methods are limited.Systems science and cross-scale coupling allow us to define the coupled urbanization and eco-environment system as an open complex giant system with multiple feedback loops.We review the current state of dynamic simulation of urbanization and eco-environment coupling and find that:(1)The use of dynamic simulation is an increasing trend,the relevant theory is being developed,and modeling processes are being improved;(2)Dynamic simulation technology has become diversified,refined,intelligent and integrated;(3)Simulation is mainly performed for three aspects of the coupling,multiple regions and multiple elements,local coupling and telecoupling,and regional synergy.However,we also found some shortcomings:(1)Basic theories are inadequately developed and insufficiently integrated;(2)The methods of unifying systems and sharing data are behind the times;(3)Coupling relations and the dynamic characteristics of the main driving elements are not fully understood or completely identified.Additionally,simulation of telecoupling does not quantify parameters and is not systemically unified,and therefore cannot be used to represent spatial synergy.In the future,we must promote communication between research networks,technology integration and data sharing to identify the processes governing change in coupled relations and in the main driving elements in urban agglomerations.Finally,we must build decision support systems to plan and ensure regional sustainable urbanization.  相似文献   

Research on Parallel Algorithms for uv-faceting Imaging     

《Chinese Astronomy and Astrophysics》2019,43(3):424-443

The uv-faceting imaging is one of the widely used large field of view imaging technologies, and will be adopted for the data processing of the low-frequency array in the first stage of the Square Kilometre Array (SKA1). Due to the scale of the raw data of SKA1 is unprecedentedly large, the efficiency of data processing directly using the original uv-faceting imaging will be very low. Therefore, a uv-faceting imaging algorithm based on the MPI (Message Passing Interface)+OpenMP (Open Multi-Processing) and a uv-faceting imaging algorithm based on the MPI+CUDA (Compute Unified Device Architecture) are proposed. The most time-consuming data reading and gridding in the algorithm are optimized in parallel. The verification results show that the results of the proposed two algorithms are basically consistent with that obtained by the current mainstream data processing software CASA (Common Astronomy Software Applications), which indicates that the proposed two algorithms are basically correct. Further analysis of the accuracy and total running time shows that the MPI+CUDA method is better than the MPI+OpenMP method in both the correctness rate and running speed. The performance test results show that the proposed algorithms are effective and have certain extensibility.  相似文献   

云南广南县老寨湾金矿地质特征及找矿标志     

高李阳  顾雄  吴小梅 《云南地质》2020,(1):71-75

广南县老寨湾金矿位于滇、黔、桂“金三角”重要成矿区带上,金矿体矿体呈似层状赋存于断层构造破碎带或层间构造破碎带中,构造控矿明显。矿体围岩均为下泥盆统坡松冲组第一段(D1ps1)硅化石英砂岩;矿床成因属中-低温热液叠加改造型金矿床,断层构造、硅化等矿化蚀变及地球化学异常是重要的找矿标志。  相似文献   

金伯利岩型金刚石矿床研究及其成矿模式探讨——以辽宁瓦房店地区金刚石原生矿矿床为例     

刘礼广  吴大天  韩双  万方来  林少全  杨献忠 《地质学报》2020,94(9):2650-2665

辽宁南部瓦房店金刚石矿是国内最大的金刚石矿产区，现已发现4处金刚石成矿带、120个岩体。其中金伯利岩岩管24个、岩脉89个、可疑岩体7个，累计提交1221万克拉储量，占全国金刚石储量52%。本文主要对该矿床的金刚石母岩—金伯利岩的岩石地球化学特征进行了全面系统分析，发现金伯利岩中MgO、NiO、Cr 2O 3的含量与TiO 2、Al 2O 3、Na 2O、K 2O、CaO、P 2O 5等偏碱性组分呈正相关关系；Ni、Cr、Co含量与金刚石含量呈正相关，而Ti、Zr、Ba元素含量与金刚石含量呈负相关。通过对瓦房店矿区金刚石中石榴石及单斜辉石包裹体、橄榄石- 石榴石矿物对、石榴石微量元素、尖晶石- 橄榄石等多种地质温、压计归纳得出金刚石矿的来源深度为150~210 km,压力5~7 GPa，温度1083~1261℃，在上述温、压条件下，结合岩浆化学组成，估算金伯利岩具有低氧逸度(fO 2=2. 913×1. 01325×10-6Pa)的特点。结合野外勘查工作，总结了该矿床的地质特征、控矿构造、矿体空间分布规律等要素，认为NEE向和NE向断裂控制着金伯利岩体的展布方向和矿体形态。脉状金伯利岩体一般呈NEE 70°~80°方向展布，严格受NEE至近EW向的密集节理或裂隙控制。提出了金刚石母岩—金伯利岩是由源于上地幔岩浆，在一定的封闭条件下，受构造与岩性双重控制，多期性的爆发与侵入交替作用所形成，并建立了具有较高氧逸度和较高密度的流变性软流圈，通过渗滤熔体浸蚀岩石圈形成金刚石的理想成因模式，希望为下一步找矿工作提供参考。  相似文献   

河北省怀安县朱家洼矿区地球化学特征与找矿方向     

王占彬 《地质与勘探》2020,56(1):102-112

河北怀安朱家洼矿区位于华北板块北缘中段太古宙、元古宙、中生代金银铅锌铁硫铁矿成矿带,为火山热液型金多金属矿。为查明该区成矿规律,明确找矿方向,在区内开展了水系沉积物测量、土壤地球化学测量等工作。通过对元素分布、元素相关性、元素异常等特征研究表明,Au、Mo为本区主成矿元素;各元素异常平面分布具有分带性,高温元素W、Sn、Bi异常位于骆驼山火山机构中心,中低温元素Pb、Zn、As、Ag等异常分布于火山机构边部及周边围岩中,成矿元素Au、Mo异常主要位于火山机构西侧围岩中。异常查证发现金钼矿化体2条,金钼矿化受火山机构和北西向构造带控制。依据成矿地质条件、地球化学异常及查证成果认为,朱家洼矿区Au、Mo成矿潜力大,火山机构西侧围岩区是该区重点找矿地段。  相似文献   

中国企业R&D国际化:时空格局与区位选择影响因素     

胡曙虹  杜德斌  范蓓蕾 《地理研究》2019,38(7):1733-1748

基于中国企业海外R&D投资数据和零断尾负二项回归分析方法,探讨了1998—2015年中国企业R&D国际化的时空格局特征,并从东道国角度分析影响其区位选择的主要因素。结果表明：研究期内中国新建海外R&D机构数量快速扩张;海外R&D投资区域分布广泛,呈现分散和集聚并存的特征;以华为为例分析了典型中国企业海外R&D投资的空间布局特征,认为目前华为海外R&D投资呈现集中布局在欧洲,零散分布在亚洲、美洲、非洲的空间特征,主要是由其以全球技术升级和满足多样化的市场需求等R&D国际化的战略动机所决定。回归分析结果表明,中国企业对发达国家和发展中国家进行R&D投资的影响因素有共同点但也存在一定的差异：① 现阶段东道国的R&D需求不是影响中国企业对其进行R&D投资的主要因素;② 代表中国与东道国经济往来密切程度的关联要素是影响中国企业R&D投资的重要决策因素;③ 发达国家吸引中国企业对其进行R&D投资主要是因其创新能力强、R&D资源数量多,而政策及制度供给是影响中国企业对发展中国家进行R&D投资的主要因素;④ 地理距离对中国企业R&D“走出去”的阻碍作用主要体现在对发展中国家的R&D投资中。  相似文献   

Responding to Global Warming: Mitigation Policies and Actions of Stakeholders in China’s Tourism Industry     

FENG Ling  CHEN Da  GAO Shan  WANG Yongzhi  TANG Chengcai 《资源与生态学报(英文版)》2019,10(1):94-103

China’s tourism industry has witnessed rapid progress in recent years, and is now an important part of global tourism in dealing with climate change. Within a framework of Pressure-State-Response (PSR), this paper focuses on the emission reduction pressure, carbon emission status, and responses of stakeholders in China’s tourism industry. Findings include: 1) The central government’s strategy and rapid growth of the industry scale exert rising pressure on China’s tourism to reduce carbon emissions. 2) Carbon emissions of China's tourism account for 13%-14.6% of global tourism, and about 3% of China’s emissions overall. Chinese tourists’ per capita carbon emission is lower than half of the global level. 3) The Chinese government attaches great importance to energy-saving and carbon emission reduction. In the tourism industry, documents, standards and other regulative measures have been issued to ensure that business practitioners set up green operational and managerial systems. In the field of tourism transportation, China's high-speed rail, new energy vehicles, and urban shared bicycles, have developed very rapidly in recent years, and they have effectively reduced the carbon emissions in traveling. Furthermore, this paper finds that Chinese tourists already have awareness and willingness for low-carbon tourism.  相似文献   

Peaks of People: Using Topographic Prominence as a Method for Determining the Ranked Significance of Population Centers     

Garrett Dash Nelson  Ryan McKeon 《The Professional geographer》2019,71(2):342-354

This article borrows a statistical method from physical geography—topographical prominence—to suggest a new technique for measuring the relative significance or rank of population centers. Unlike raw population measures, prominence gives consideration to both the spatial intensity of concentrated population areas as well as the spatial dependence or independence of neighboring settlement clusters in relation to one another. We explain how to apply the topographic prominence calculation method to gridded population data and examine its practical utility through case studies of several U.S. states. We then discuss some ways in which parametric choices about point-to-surface transformations can result in considerably different outcomes and offer further suggestions for conceptualizing and measuring population center significance.  相似文献