黑海东南部公开测深数据与实际测量数据的比较

Emre Tükenmez, Emre Gülher, Ozgur Kaya
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引用次数: 0

摘要

能够获得准确可靠的深度信息,不仅对海洋学、地球物理学、地质学、自然资源领域,而且对航海和物流领域都有不可估量的好处。由于到目前为止,世界上只有一小部分海洋被探索、观察和绘制了海图,因此对这些领域的高分辨率测深数据的需求不断增加。有一些来源为其利益相关者和用户提供公开可用的全球水深数据,如广泛使用的欧洲海洋观测和数据网(EMODnet)和海洋一般水深图(GEBCO)。一般来说,对于研究人员来说,在可用的数据集中选择最适合他们研究的数据是具有挑战性的,因为它们的唯一可靠性没有得到很好的评估。因此,我们研究的目的是将这些公开的水深数据与航海、水文和海洋学办公室对黑海东南部一个感兴趣的地区进行的调查所获得的实地测量结果进行比较,该地区包括底部地形的各种特征(即均匀高程、陡坡、缓坡等)。通过目视评价和定量比较,对这些显著特征进行验证。结果表明,尽管总体上是一致的,但也存在地方差异。尽管如此,GEBCO和EMODnet数据集被证明是任何不需要高空间分辨率的水文空间应用的重要资产。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of Publicly Available Bathymetric Data with Real Measurements in the Southeastern Black Sea
Being able to access accurate and reliable depth information has uncountable benefits for not only fields of oceanography, geophysics, geology, natural resources but also navigation & logistics. There is an ever-increasing demand for high-resolution bathymetric data for those fields since only a small portion of the world seas and oceans have been explored, observed, and charted so far. There are some sources which provide publicly available global bathymetric data to its stakeholders and users such as widely used European Marine Observation and Data Network (EMODnet) and General Bathymetric Chart of the Oceans (GEBCO). In general, it is challenging for researchers to select the best fit for their studies among available datasets, due to the fact that their sole reliability is not well-assessed. The purpose of our study, thus, is to compare those publicly available bathymetric data with field measurements obtained from the surveys carried out by the Office of Navigation, Hydrography and Oceanography for an area of interest in the southeastern Black Sea comprising various characteristics as to the bottom topography (i.e. homogeneous elevation, steep slope, mild slope, etc.). Validation is conducted focusing on these distinct features by means of visual assessment and quantitative comparison. Results reveal that, even though there is an overall agreement, local discrepancies are also present. Nonetheless, GEBCO and EMODnet datasets are proved to be great assets for any hydrospatial application that does not necessarily require high spatial resolution.
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