Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/12703
Title: | Including granulometric sediment coastal data composition into the Black Sea GIS | Authors: | Zhuk, Elena Khaliulin, Alexey Krylenko, Marina V. Krylenko, Viacheslav V. Zodiatis, George Nikolaidis, Marios Nikolaidis, Andreas |
Major Field of Science: | Engineering and Technology | Field Category: | Civil Engineering | Keywords: | Anapa bay-bar;Coastal zone;GIS;Mapserver | Issue Date: | Mar-2017 | Source: | 5th International Conference on Remote Sensing and Geoinformation of the Environment, 2017, Paphos, Cyprus, 20-23 March | DOI: | https://doi.org/10.1117/12.2279083 | Abstract: | The module structure of the Black Sea GIS allows the increasing of its functionality, including new data types and defining new procedures accessing them, their visualization and integration with existing data by their conjoint processing and representation. The Black Sea GIS is released as free software; Mapserver is used as a mapping service; MySQL DBMS works with relational data. A new additional feature provided, is the ability of including coastal data obtained in SB SIO RAS. The data represent granulometric composition of the Anapa bay-bar sediments. The Anapa bay-bar is an accumulative sand form (about 50 km long) located on the northwest Russian Black Sea coast. The entire bay-bar and especially its southern part with sand beaches 50-200 m wide is intensively used in recreation. This work is based on the results of field studies of 2010-2014 in the southern part of the Anapa bay-bar researched by scientists of the Shirshov Institute of Oceanology RAS. Since the shore under consideration has no clearly pronounced reference points, "virtual" points located within 1 km distance from each other were selected. Transversal profiles cross these points. The granulometric composition was studied along with 45 profiles. The samples taken in every profile were from the most characteristic morphological parts of the beach. In this study we used shoreline zone samples. Twenty one granule fractions (mm) were separated in the laboratory. The module which processes coastal data allows to select coastal data based on territory/region and granulometric sediment composition. Also, it allows to visualize coastal maps with user-selected features combined with other GIS data. | Description: | Proceedings of SPIE - The International Society for Optical Engineering, 2017, Volume 10444, Article number 104440G | URI: | https://hdl.handle.net/20.500.14279/12703 | Rights: | © 2017 SPIE. | Type: | Conference Papers | Affiliation : | Marine Hydrophysical Institute RAS Shirshov Institute of Oceanology RAS University of Cyprus Cyprus University of Technology |
Publication Type: | Peer Reviewed |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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