地理国情要素数据成果的一致性检查方法     

李海  周进  闫庆庆  陈春希 《测绘通报》2021,(12):115-119

本文结合全国地理国情要素数据成果过程质量控制、质量复核工作,以及地理国情要素数据成果自身、与地表覆盖分类数据成果、与外业调查核查数据、与专题资料的一致性要求,通过分析检查中发现的质量问题,提出了地理国情要素数据成果的质量控制方法。该方法为国情要素数据成果的质量控制提供了技术参考,为质检工作提供了方法依据。  相似文献   

《第一次全国地理国情普查地图集》设计与编制     

殷红梅  于荣花 《测绘地理信息》2021,46(1):34-37

《第一次全国地理国情普查地图集》是第一部综合反映中国地理国情基本特征的大型专题地图集,多尺度、多层次地展现了中国山、水、林、田、湖、草等地表自然要素以及房屋建筑区、铁路与道路等人文地理要素的地理位置与空间分布信息,是地理国情普查成果体系的重要组成部分。阐述了该地图集的内容设计与制图表达概况,重点介绍了该地图集设计思想、内容设计与组织、制图表达、装帧设计等方面的内容。该地图集可为政府与行业部门优化国土空间、建设生态文明、实施发展战略等工作提供基础资料和科学依据。  相似文献   

Analysis of suspended sediment dynamics at event scale: comparison between a Mediterranean and an Alpine basin     

Stefano Giorgio Pagano  Adriana García-Rama  Francesco Gentile  Mario Aristide Lenzi 《水文科学杂志》2019,64(8):948-961

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汤东活动断裂带土壤H2、Rn地球化学特征     

胡宁  马志敏  王明亮  王宇  娄露玲  夏修军  张宝山  王文净  郭德科 《地震》2019,39(2):174-182

为研究汤东断裂带土壤气体地球化学特征及其所反映的构造地球化学背景, 采用野外监测的方法分析了张河村与邢李庄村两条测线的土壤H₂、 Rn分布特征。 结果表明, 张河村H₂浓度、 Rn活度浓度的分布范围分别为0.24×10^-6～174.7×10^-6、 13.3～69.8 kBq·m^-3, 背景值分别为14.26×10^-6, 24.8 kBq·m^-3。 邢李庄测线H₂浓度、 Rn活度浓度的分布范围11.8×10^-6～67.06×10^-6、 43.6～72.6 kBq·m^-3, 背景值分别为37.13×10^-6、 72.6 kBq·m^-3。 张河村测线在90～105 m处, H₂、 Rn出现强烈高值异常, 而120～150 m处出现高值异常。 异常值位于断裂带附近, H₂、 Rn气体测值对断裂位置具有良好的指示作用。 气体异常主要受汤东活动断裂构造控制, 汤东断裂下方的深大断裂和汤阴地堑中下地壳的低速体对深部气体释放有重要作用。  相似文献   

The southern Norwegian Sea during the last 45 ka: hydrographical reorganizations under changing ice‐sheet dynamics     

《第四纪科学杂志》2017,32(7):908-922

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耦合PML边界条件的三维大地电磁二次场有限差分法          下载免费PDF全文

薛帅  白登海  唐静  马晓冰 《地球物理学报》2017,60(1):337-348

本文将大地电磁场分解为一次场和二次场,应用交错网格有限差分法模拟计算大地电磁二次场,并引入各向异性最佳匹配层(PML)吸收边界条件作为二次场边界条件,实现了耦合PML吸收边界条件的三维大地电磁二次场有限差分正演模拟.为了确保正演的稳定性和效率,QMR求解器和磁感应矢量散度校正技术被用于PML吸收边界条件下系数矩阵的快速求解.三维模型正演响应表明,基于二次场的三维大地电磁有限差分算法具有较高的计算精度和可靠性.通过计算分析不同PML吸收因子条件的大地电磁正演结果,显示在适当的吸收因子下,PML吸收边界条件可较大幅度的减小外边界距离,从而有效的压缩模型求解空间,最终提高三维大地电磁正演模拟的效率.  相似文献   

Seasonal rainfall–runoff relationships in a lowland forested watershed in the southeastern USA     

Ileana B. La Torre Torres  Devendra M. Amatya  Timothy J. Callahan 《水文研究》2011,25(13):2032-2045

Hydrological processes of lowland watersheds of the southern USA are not well understood compared to a hilly landscape due to their unique topography, soil compositions, and climate. This study describes the seasonal relationships between rainfall patterns and runoff (sum of storm flow and base flow) using 13 years (1964–1976) of rainfall and stream flow data for a low‐gradient, third‐order forested watershed. It was hypothesized that runoff–rainfall ratios (R/P) are smaller during the dry periods (summer and fall) and greater during the wet periods (winter and spring). We found a large seasonal variability in event R/P potentially due to differences in forest evapotranspiration that affected seasonal soil moisture conditions. Linear regression analysis results revealed a significant relationship between rainfall and runoff for wet (r² = 0·68; p < 0·01) and dry (r² = 0·19; p = 0·02) periods. Rainfall‐runoff relationships based on a 5‐day antecedent precipitation index (API) showed significant (r² = 0·39; p < 0·01) correspondence for wet but not (r² = 0·02; p = 0·56) for dry conditions. The same was true for rainfall‐runoff relationships based on 30‐day API (r² = 0·39; p < 0·01 for wet and r² = 0·00; p = 0·79 for dry). Stepwise regression analyses suggested that runoff was controlled mainly by rainfall amount and initial soil moisture conditions as represented by the initial flow rate of a storm event. Mean event R/P were higher for the wet period (R/P = 0·33), and the wet antecedent soil moisture condition based on 5‐day (R/P = 0·25) and 30‐day (R/P = 0·26) prior API than those for the dry period conditions. This study suggests that soil water status, i.e. antecedent soil moisture and groundwater table level, is important besides the rainfall to seasonal runoff generation in the coastal plain region with shallow soil argillic horizons. Copyright © 2011 John Wiley & Sons, Ltd.  相似文献   

Lake Ladoga ice phenology: Mean condition and extremes during the last 65 years     

Sergey Karetnikov  Mikhail Naumenko 《水文研究》2011,25(18):2859-2867

Winter conditions play an important role for the largest lake in Europe—Lake Ladoga. The ice cover lasts for 171 ± 3 days on average from the early November until the mid‐May. We investigated the ice regime of Lake Ladoga using a constructed ice database of aircraft surveys and satellite images. More than 1250 surveys of the lake's ice cover from 1943 to 2010 were collected and analysed to determine mean and extreme ice conditions for winters of different types of severity. The time series of ice cover percentage over the lake was plotted. On average, 18 observational ice charts were made every winter. Individual ice phenology records show considerable year‐to‐year variation. For this reason, records typically have been combined and analysed as groups (categories). Extremely cold winters were determined as winters with complete ice cover that lasts more than three months which is approximately 90% quartiles from all winters with complete ice cover. The lake surface was completely covered with ice for more than three months during 5 seasons. Extremely warm winters when the maximum ice cover was less than 70% of the lake area occurred during 5 seasons as well. A basic relationship between the winter severity as winter maximum of accumulated freezing degree‐days (AFDD) and the earlier derived Relative Ice Cover Index (RICI) was established. We have used teleconnection indices such as North Atlantic Oscillations (NAO) and Arctic Oscillation (AO) for the period from October to May for estimation of different types of Lake Ladoga's ice conditions. The AO index in winter months and local winter maximum of AFDD explained much of the interannual variation in ice cover. Copyright © 2011 John Wiley & Sons, Ltd.  相似文献   

复杂卫星图像中的小目标船舶识别   总被引：1，自引：1，他引：0  

姚红革  王诚  喻钧  白小军  李蔚 《遥感学报》2020,24(2):116-125

船舶作为海上的重要目标,实现对船舶自动识别有重要的意义。针对卫星图像中云雾、海岸背景等复杂海情对船舶识别带来的干扰,以及小目标船舶高漏检率问题,本文提出一种多尺度深度学习模型训练策略,在此基础上构建了一种船舶识别的深度学习网络,该网络可分为多尺度训练、特征提取、生成目标建议区域、船舶分类这4个部分。首先,采用多尺度的训练策略,将多尺度的船舶样本送入网络中进行训练,这样在训练样本中加入了大量小目标船舶的样本,使网络充分提取到小目标船舶的特征;其次,通过卷积神经网络对目标船舶进行特征自适应提取;然后,目标区域建议网络可依据卷积神经网络提取到的特征,在图像中找到感兴趣目标区域,即框定船舶的位置;最后,通过多个全连接层的组合,将高维特征映射到一个4元组中,再运用分类函数输出每一类船舶的概率值,概率值最大的则为该船舶的类别。同时为解决云雾遮挡和海岸背景的干扰,采用了一种负样本增强学习的方法,在样本数据集中加入了大量只含有云雾和海岸背景的图片,进行负样本扩充,增强网络模型对云雾及海岸背景的特征学习能力,以此解决复杂海情的影响。实验结果表明,所提方法有效解决了复杂海情条件下的船舶识别难,以及小目标船舶识别难的问题,实现了复杂海情条件下的船舶识别。同时,与现有成熟的深度学习目标识别算法相比,本文算法的精确度和召回率分别提升了6.98%和18.17%,所训练的模型具有良好的泛化能力和鲁棒性。  相似文献   

水文干旱多变量联合设计及水库影响评估   总被引：2，自引：1，他引：1  

涂新军  杜晓霞  杜奕良  陈晓宏  黎坤 《湖泊科学》2018,30(2):509-518

基于东江流域博罗站月径流数据,采用游程理论提取水文干旱事件.选用Meta-Gaussian Copula函数,统计模拟水文干旱指标的多变量联合分布.采用Kendall联合重现期和最大可能权函数,设计给定联合超越重现期的水文干旱指标组合值,并定量评估水库径流调节作用对水文干旱多变量联合特征的影响.结果表明:东江流域水文干旱历时、强度和峰值的统计优选分布均为韦布尔分布.干旱指标之间具有较高的正相关性,Meta-Gaussian Copula能够很好地模拟水文干旱指标两变量和三变量联合分布.基于任意两个变量联合设计和三变量联合设计,干旱指标设计组合值位于同频位置附近,且同一个干旱指标设计值在不同变量组合之间差别较小.水库径流调节作用对于缓解东江流域水文干旱效果明显,同一组干旱指标的多变量联合超越重现期在水库影响下明显变大.联合超越重现期越小,水库对联合设计值的影响程度越大.根据目前水库运行模式,若要满足河道内最小管理流量目标,联合超越重现期10 a一遇的干旱历时、强度和峰值依然达到了约3.89~4.04月、7.20~7.97亿m3和2.99~3.12亿m3.  相似文献