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利用同安湾口门断面走航ADCP观测数据,采用基于高斯基函数的Candela空间插值方法,对海流进行空间三维的调和分离,并对分离的各分潮流与余流进行流场的回归检验分析,F(α=0.01)检验显示流场的回归效果显著.观测期间同安湾口门断面平均潮差为5.15 m,最小潮差4.38m,最大潮差5.98 m,断面上涨落潮最大流速分别为92.3、80.3 cm/s,潮流特征分析表明,同安湾口门断面的潮流运动形式为往复流,以半日潮流为主,约占70%潮流信息,潮流流速从海表面向海底递减.余流最大值为12.5 cm/s,空间分布上将同安湾口门断面一分为二形成北进南出的余流进出通道,这与以往余流格局的认识相符.  相似文献
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黄海渔业资源密度空间插值方法的比较研究   总被引:1,自引:0,他引:1       下载免费PDF全文
空间插值是渔业生态学研究,特别是海洋生态系统模型构建中的常用工具。为找到适合黄海渔业资源密度的插值方法,本文对四种常用的空间插值方法进行了比较研究。四种插值方法分别为反距离加权(Inverse distance weighted,IDW)、全局多项式(global polynomial interpolation,GPI)、局部多项式(local polynomial interpolation,LPI)和普通克里格(ordinary kriging,OK)。采用交叉验证分析(cross-validation diagnostic)确定不同插值方法的准确度。同时,结合渔业资源密度空间分布的可视化表达,比较不同插值方法结果的优劣。结果表明,原始的生物学数据具有典型的非正态分布特征,对数转化方法能让其显著地接近或符合正态分布。四个调查阶段中,指数模型在2014年8月和10月为最佳半方差函数,2015年1月和5月数据具有明显的纯块金效应。配对样本T检验表明,预测数据和实测数据之间没有显著差异(P>0.05)。交叉验证结果表明,OK在2014年10月插值效果最好,IDW在剩余的三个航次表现最佳,GPI和LPI表现效果不佳。OK在空间分布的可视化表达方面效果最好,既不像IDW一样有较多的“牛眼”效应,也不像GPI和LPI一样具有过多的平滑效果。然而,纯块金效应的存在有时会影响OK的应用。综上所述,我们推荐操作简单且处理快速的IDW作为黄海渔业资源密度常规的插值方法。  相似文献
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高频地波雷达是海洋环境监测的重要手段,当前已经实现对海流的业务化观测,但是外部因素常引起海流空间探测的不连续性。为解决此问题,尽量保障区域数据的完整性和准确性,本文将BP神经网络技术与空间插值相结合,建立了海流的BP神经网络插值模型,并进行了针对实测数据的缺失插值仿真,通过与反距离权重法和线性插值法插值结果的对比,分析该模型在区域海流大面积缺失、流速整体较大和流速整体较小3个方面的性能。结果表明,BP神经网络插值模型的海流预测效果明显优于其他两种方法,且在流场数据大范围缺失下也取得了良好的效果。  相似文献
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海域条件下的气象观测具有数据稀少、变化大且观测站点分布不均的特点,其插值精度受插值方法影响较大。首先对常规插值方法进行理论分析,进而选取了反距离加权法、克里金法和样条函数法三种插值方法进行了插值实验和精度分析。根据渤海湾某区域的气象历史数据,采用不同方法绘制了温度、压强和湿度的插值平面图,并基于交叉验证的方式对各插值方法进行了对比,给出了不同方法的插值估算可靠性评价。结果表明:温度、压强和湿度的插值精度均是基于反距离加权法的插值结果最优(MAE_(温度)=2.42,RMSE_(温度)=1.92,MAE_(压强)=2.05,RMSE_(压强)=1.30,MAE_(湿度)=11.394, RMSE_(压强)=6.43),同时基于反距离加权法的图形绘制可视化效果也要优于其他两种方法。研究结果可为海域气象参数估算提供理论和实践依据。  相似文献
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为了客观准确地反映辽东湾海域沉积物中石油类含量的空间分布特征,本文基于GIS的地统计分析模块,对2015年辽东湾海域沉积物石油类调查数据进行探索性数据分析,分别运用反距离权重法、普通克里金法、规则样条函数法和张力样条函数法进行空间插值,采用交叉检验方法对插值精度进行了评估。结果表明:插值精度张力样条函数法>规则样条函数法>反距离权重法>普通克里金法,整体上4种插值方法均能客观模拟出沉积物石油类含量的空间分布趋势,在局部区域张力样条函数法插值预测结果更接近真实测量值。辽东湾海域沉积物石油类宜采用张力样条函数法进行空间插值。  相似文献
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提出了一种利用GIS空间分析技术,通过空间插值处理,对目标区域内的各类污染海域进行等级划分,得出各类污染海域面积的方法。通过对污染面积要素进行空间分析:栅格叠加统计分析、栅格转换矢量面、边界平滑处理、微小面积融合处理、要素面无缝处理以及同等级污染面融合处理,生成矢量污染面积图,计算各等级污染面积值,通过海洋专网,利用Arc GIS Server,发布Geopocessing服务。当用户导入插值数据,插值范围,设定条件,就可以获得区域的污染面积,为用户提供远程服务。研发了污染面积计算工具,有助于环保工作者提高工作效率,满足环境质量综合评价中时效性和直观性的要求,具有良好的推广意义。  相似文献
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This article evaluates different spatial interpolation methods for mapping submerged aquatic vegetation (SAV) in the Caloosahatchee Estuary, Florida. Data used for interpolation were collected by the Submersed Aquatic Vegetation Early Warning System (SAVEWS). The system consists of hydro-acoustic equipment, which operates from a slow-moving boat and records bottom depth, seagrass height, and seagrass density. This information is coupled with geographic location coordinates from a Global Positioning System (GPS) and stored together in digital files, representing SAV status at points along transect lines. Adequate spatial interpolation is needed to present the SAV information, including density, height, and water depth, as spatially continuous data for mapping and for comparison between seasons and years. Interpolation methods examined in this study include ordinary kriging with five different semivariance models combined with a variable number of neighboring points, the inverse distance weighted (IDW) method with different parameters, and the triangulated irregular network (TIN) method with linear and quintic options. Interpolation results were compared with survey data at selected calibration transects to examine the suitability of different interpolation methods. Suitability was quantified by the determination coefficient (R2) and the root-mean-square error (RMSE) between interpolated and observed values. The most suitable interpolation method was identified as the one yielding the highest R2 value and/or the lowest RMSE value. For different geographic conditions, seasons, and SAV parameters, different interpolation methods were recommended. This study identified that kriging was more suitable than the IDW or TIN method for spatial interpolation of all SAV parameters measured. It also suggested that transect data with irregular spatial distribution patterns such as SAV parameters are sensitive to interpolation methods. An inappropriate interpolation method such as TIN can lead to erroneous spatial representation of the SAV status. With a functional geographic system and adequate computing power, the evaluation and selection of interpolation methods can be automated and quantitative, leading to a more efficient and accurate decision.  相似文献
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根据地貌晕渲图的制作方法,结合海洋地理数据实际情况,探讨了三维海底晕渲图的制作方法;并将此方法应用于海洋基础地理数据相关项目——地理实体图集的制作。采用ArcGIS软件实现了计算机自动制作三维海底晕渲图的全过程,从最终成果可以看出平面成果图和立体成果图都富有很强立体感,这使人们对海底地形有直观认识,应用将更方便。  相似文献
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水深是反映海底地形地貌的最基础要素,对缺失的水深点进行准确的插值能帮助有效地表达海底地形地貌起伏形态。针对海底地形变化复杂的区域,传统的反距离加权插值法存在只考虑样本水深点与待插值水深点之间的距离,而忽略了样本水深点之间的空间相关性的问题。本文提出了一种顾及特征水深点距离重分配的反距离加权插值算法。该算法首先对离散的水深点构建特征水深线,在特征水深线的基础上,提取特征水深线上的特征点作为特征水深点;然后在所有样本水深点到待插值水深点距离之和不变的约束下,提出距离重分配的量化指标;最后构造出一个顾及特征水深点距离重分配的IDW插值算法模型。实验结果表明,在海底地形变化复杂的区域,顾及特征水深点距离重分配的反距离加权插值算法与传统的IDW、自然邻域插值、样条函数插值算法等相比,能有效提高水深点的插值精准度。  相似文献
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This article evaluates different spatial interpolation methods for mapping submerged aquatic vegetation (SAV) in the Caloosahatchee Estuary, Florida. Data used for interpolation were collected by the Submersed Aquatic Vegetation Early Warning System (SAVEWS). The system consists of hydro-acoustic equipment, which operates from a slow-moving boat and records bottom depth, seagrass height, and seagrass density. This information is coupled with geographic location coordinates from a Global Positioning System (GPS) and stored together in digital files, representing SAV status at points along transect lines. Adequate spatial interpolation is needed to present the SAV information, including density, height, and water depth, as spatially continuous data for mapping and for comparison between seasons and years. Interpolation methods examined in this study include ordinary kriging with five different semivariance models combined with a variable number of neighboring points, the inverse distance weighted (IDW) method with different parameters, and the triangulated irregular network (TIN) method with linear and quintic options. Interpolation results were compared with survey data at selected calibration transects to examine the suitability of different interpolation methods. Suitability was quantified by the determination coefficient (R2) and the root-mean-square error (RMSE) between interpolated and observed values. The most suitable interpolation method was identified as the one yielding the highest R2 value and/or the lowest RMSE value. For different geographic conditions, seasons, and SAV parameters, different interpolation methods were recommended. This study identified that kriging was more suitable than the IDW or TIN method for spatial interpolation of all SAV parameters measured. It also suggested that transect data with irregular spatial distribution patterns such as SAV parameters are sensitive to interpolation methods. An inappropriate interpolation method such as TIN can lead to erroneous spatial representation of the SAV status. With a functional geographic system and adequate computing power, the evaluation and selection of interpolation methods can be automated and quantitative, leading to a more efficient and accurate decision.  相似文献
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