Multi-Criteria Decision Analysis integrated with GIS and remote sensing for astronomical observatory site selection in Antalya province, Turkey
Autor: | Mustafa Helvaci, Dilek Koc-San, Bekir Taner San, Volkan Bakiş, Zeki Eker |
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Rok vydání: | 2013 |
Předmět: |
Atmospheric Science
Site selection Aerospace Engineering Astronomy and Astrophysics Landslide Active fault Multiple-criteria decision analysis Geophysics Space and Planetary Science Remote sensing (archaeology) Observatory General Earth and Planetary Sciences Astronomical seeing Digital elevation model Remote sensing |
Zdroj: | Advances in Space Research. 52:39-51 |
ISSN: | 0273-1177 |
Popis: | Astronomical observatory site selection is a complex problem that involves evaluation of multiple factors from different sources. The aim of this study is to select the best possible candidates for astronomical observations sites using Multi-Criteria Decision Analysis integrated with Geographical Information Systems and remote sensing technologies. The study was implemented in the Antalya province of Turkey, which is convenient for astronomical site observatory facilities with its appropriate climate properties and weather conditions. Eleven factors (cloud cover, precipitable water, earthquake zones, geology, landslide inventory, active fault lines, Digital Elevation Model, city lights, mining activities, settlement areas, roads) were determined, splitting into three categories; meteorological, geographical and anthropogenic criteria. These factors were evaluated using Analytical Hierarchy Process method and the weights of criteria layers were determined. As a result, the most suitable areas were located extensively in western and eastern part of Antalya. This study offers a robust, accurate, cost and time effective procedure for preliminary site selection for astronomical observatory. However, for a final decision of the best location of astronomical observatory, site testing measurements and atmospheric seeing observations will be further required in these preliminary areas. |
Databáze: | OpenAIRE |
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