基于遥感水边线的潮滩面积提取方法研究          下载免费PDF全文

张媛媛  高志强  刘向阳  许宁 《海洋开发与管理》2018,35(3):56-61

潮滩作为动态变化的后备土地资源,对其研究具有重要意义。文章以江苏省如东县为研究区,使用环境资源卫星(HJ1A/1B)影像为数据源,应用面向对象技术创建分类规则,实现批量半自动提取水边线,随后利用DSAS软件处理水边线集获得潮位点集,基于最外边界法实现高(低)潮位点的提取,进而获得潮滩范围,估算的如东县潮滩面积为55 182hm~2。最后利用误差矩阵进行精度验证(Kappa系数为0.945)。结果表明:该方法对于潮滩面积提取具有适用性,无论在空间域还是时间域都具有一定的推广性。  相似文献   

北极冰下水声通信中改进的最小均方/四次方直接自适应均衡器     

田亚男  韩笑  殷敬伟  陈红霞  刘清宇 《海洋学报(英文版)》2020,39(9):133-139

本文提出了一种适用于北极冰下水声通信的最小均方/四次方直接自适应均衡器（LMS/F-DAE）。它能处理基带复信号，与LMS相比，具有更好的均衡效果。考虑到均衡器的稀疏特性，在其代价函数中加入自适应范数（AN）作为约束。它能根据均衡器系数的大小自适应变化：对于小系数，此约束项存在以加快收敛速度；对于大系数，此约束项不存在以减小均衡误差。利用第九次中国北极科学考察得到的实验数据验证AN-LMS/F-DAE的性能。结果表明，与传统的LMS/F-DAE相比，AN-LMS/F-DAE能提升均衡器的稀疏性且均衡性能更优。  相似文献   

基于卫星遥感海温数据的南海SST预报误差订正     

张培军  周水华  梁昌霞 《热带海洋学报》2020,39(6):57-65

尝试利用卫星遥感高分辨率海表温度资料GHRSST (Group for High Resolution Sea Surface Temperature) 与海表温度(sea surface temperature, SST)数值预报产品之间的误差, 建立一种南海SST模式预报订正方法。首先, 利用南海的Argo浮标上层海温数据对GHRSST 海温数据进行验证, 结果表明两者之间均方根误差约为0.3℃, 相关系数为0.98, GHRSST 海温数据可用于南海业务化数值预报SST的订正。预报订正后的SST与Argo浮标海温数据相比, 24h、48h和72h的均方根误差均由0.8℃左右下降到0.5℃以内。与GHRSST 海温数据相比, 南海北部海域(110°E—121°E, 13°N—23°N)订正后的24h、48h和72h的SST预报空间误差均显著减小, 在冷空气影响南海期间或中尺度涡存在的过程中, SST预报订正效果也较为显著。因此, 该方法可考虑在南海业务化SST数值预报系统中应用。  相似文献   

南北地震带北段流体资料地震预测效能检验     

王博  钟骏  王熠熙  陈石 《地震》2018,38(1):147-156

以南北地震带北段长时间、 连续并有多次震例记录的流体观测资料为研究对象, 使用Molchan图表法对其与周边地震的关系进行了检验和分析, 计算了时间占有率、 预测效能和概率增益等参数。 结果表明, 南北地震带北段各台项的预测效能差别较大。 整体看来, 甘东南地区的观测资料检验效果较好, 表现为概率增益较大; 青海东部地区的多个测项预测效能检验结果较好, 但概率增益较小; 宁夏北部贺兰山东麓断裂附近两台项的报准率差别不大, 但概率增益、 时间占有率等却都不同。 此外, 从前兆资料变化时间上看, 短期异常和长期异常都较多, 中期异常较少。  相似文献   

基于误差分布的震源区波速比反演及其应用:乳山震群源区介质性质变化研究          下载免费PDF全文

郑建常  李冬梅 《地球物理学报》2019,62(5):1693-1703

本文利用误差分布和概率统计分析改进了波速比计算方法.对于震源位置相对集中的震群活动,对台站震相到时进行两次差分,通过对差分后的震相数据对进行二维高斯分布拟合,可以稳健地估计震群活动震源区波速比.该方法充分利用了不同台站Pg、Sg到时差的所有信息,其优势是不需要地震事件的震源位置,并且不依赖震源区以外的速度变化,有效消除了震源区到台站的传播路径效应的影响;相对于传统的平均波速比,本文方法得到的震源区波速比,更能真实地反映震源区介质的性质.我们将该方法应用到2013—2016年的乳山震群,结果显示:震源区波速比的变化与震群活动过程密切相关,波速比的变化反映了序列活动的阶段性特征.  相似文献   

基于正态分布拟合与检验的闪电定位资料控制     

程辉  王颖波  刘隽  刘冰 《气象科学》2015,35(2):195-198

选取福州地区2007—2012年闪电定位资料,使用Matlab对数正态分布拟合方法以及STATA的正态分布检验方法对数据进行质量控制,研究闪电定位数据误差修正方法。结果表明:利用Matlab对数正态分布拟合方法与STATA正态分布检验方法,可以定量找到闪电定位资料小幅值电流干扰区间,对于有效利用闪电定位资料有较好的参考价值。福州地区小幅值雷电流干扰区间为0~1 kA,剔除此区间资料后正闪拟合效果最佳。在使用福州地区闪电定位资料时可先将此区间小幅值闪电误差数据删除,该结论可为福州地区闪电定位数据修正提供参考。  相似文献   

手持GPS在地质勘查中的应用研究   总被引：1，自引：0，他引：1       下载免费PDF全文

杨礼平  李梦颖 《江苏地质》2011,35(2):201-203

GPS是20世纪70年代出现的新一代空间卫星导航定位系统,由空间星座、地面监控系统和用户系统3个部分组成。手持GPS以其灵便、定位精度高和全天候等特点使其在地质勘查工作中的应用较为普及。结合工作实践,阐述了手持GPS定位的基本原理、常用坐标系、坐标转换方法、定位精度、使用注意事项,给同行的类似工作提供参考。  相似文献   

Adaptive split-operator methods for modeling transport phenomena in porous medium systems     

Sarah E. Gasda 《Advances in water resources》2011,34(10):1268-1282

Split-operator methods are commonly used to approximate environmental models. These methods facilitate the tailoring of different approximation approaches to different portions of the differential operator and provide a means to split large coupled problems into pieces that are more amenable to parallel computation than the original fully-coupled problem. However, split-operator methods introduce an additional source of approximation error into the solution, which is typically either ignored or controlled heuristically. In this work, we develop two methods to estimate and control the error in split-operator methods, which lead to a dynamic adjustment of the temporal splitting step based upon the error estimators. The proposed methods are shown to yield robust solutions that provide the desired control of error. In addition, for a typical nonlinear reaction problem, the new methods are shown to reduce the solution error by more than two orders of magnitude compared to standard methods for an identical level of computational effort. The algorithms introduced and evaluated have widespread applicability in environmental modeling.  相似文献   

Improving the assessment of ICESat water altimetry accuracy accounting for autocorrelation     

Hani Abdallah  Jean-Stéphane Bailly  Nicolas Baghdadi  Nicolas Lemarquand 《ISPRS Journal of Photogrammetry and Remote Sensing》2011,66(6):833-844

Given that water resources are scarce and are strained by competing demands, it has become crucial to develop and improve techniques to observe the temporal and spatial variations in the inland water volume. Due to the lack of data and the heterogeneity of water level stations, remote sensing, and especially altimetry from space, appear as complementary techniques for water level monitoring. In addition to spatial resolution and sampling rates in space or time, one of the most relevant criteria for satellite altimetry on inland water is the accuracy of the elevation data. Here, the accuracy of ICESat LIDAR altimetry product is assessed over the Great Lakes in North America. The accuracy assessment method used in this paper emphasizes on autocorrelation in high temporal frequency ICESat measurements. It also considers uncertainties resulting from both in situ lake level reference data. A probabilistic upscaling process was developed. This process is based on several successive ICESat shots averaged in a spatial transect accounting for autocorrelation between successive shots. The method also applies pre-processing of the ICESat data with saturation correction of ICESat waveforms, spatial filtering to avoid measurement disturbance from the land–water transition effects on waveform saturation and data selection to avoid trends in water elevations across space. Initially this paper analyzes 237 collected ICESat transects, consistent with the available hydrometric ground stations for four of the Great Lakes. By adapting a geostatistical framework, a high frequency autocorrelation between successive shot elevation values was observed and then modeled for 45% of the 237 transects. The modeled autocorrelation was therefore used to estimate water elevations at the transect scale and the resulting uncertainty for the 117 transects without trend. This uncertainty was 8 times greater than the usual computed uncertainty, when no temporal correlation is taken into account. This temporal correlation, corresponding to approximately 11 consecutive ICESat shots, could be linked to low transmitted ICESat GLAS energy and to poor weather conditions. Assuming Gaussian uncertainties for both reference data and ICESat data upscaled at the transect scale, we derived GLAS deviations statistics by averaging the results at station and lake scales. An overall bias of −4.6 cm (underestimation) and an overall standard deviation of 11.6 cm were computed for all lakes. Results demonstrated the relevance of taking autocorrelation into account in satellite data uncertainty assesment.  相似文献   

CONSONORM_HG: a new method of norm calculation for mid‐ to high‐grade metamorphic rocks          下载免费PDF全文

L. Mathieu  S. Trépanier  R. Daigneault 《Journal of Metamorphic Geology》2016,34(1):1-15

  相似文献