کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6538689 158707 2014 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A public, open Western Europe database of shoreline undulations based on imagery
ترجمه فارسی عنوان
یک پایگاه اطلاعات عمومی و باز اروپائی غرب اروپا از امواج ساحلی مبتنی بر تصاویر
کلمات کلیدی
زوایای ساحلی، دادههای باز، اروپای غربی، ویژگی جغرافیایی، داده کاوی،
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک جنگلداری
چکیده انگلیسی
Beaches around the world frequently exhibit a wide variety of shoreline morphological features of different dimensions, and increasing attention has been focused on shoreline undulations in recent years. Shoreline undulations (SUs) are medium to large spatial-scale features with longshore dimensions ranging from hundreds to thousands of meters and cross-shore widths ranging from tens to hundreds of meters. This work presents a public, open database with a total of 294 sites showing SUs identified using Google Earth Imagery along 50,000 km of Western European and Northwestern African coasts. Insights from regional, geometrical and hydrodynamic analyses are also presented to explore the potential of using the methodology for geographic studies occupying large extensions. The database contains information on 17 fields and is shared in a suitable and open format. Denmark exhibits the most features, followed by Spain and Italy. SUs ranging from 50 to 100 m in length and below 25 m in width are predominant, whereas SUs larger than 1000 m in length and 50 m in width are of minor importance. A total of 223 (76%) sites exhibit a series of one, two or three individual undulations, whereas the rest show more than three. The existence of SUs greatly depends on the tidal range, with lower (higher) tidal ranges indicating a higher (lower) number of undulations. A detailed analysis for the Spanish case was performed focusing on the relation between the presence of SUs and climate variables. The results show that SUs are more frequent where the wave energy is lower and the wave periods are shorter. An additional data mining analysis with association rules was conducted to corroborate the relationships between variables.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Geography - Volume 55, December 2014, Pages 278-291
نویسندگان
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