Document Type : Original Research Paper
Authors
1 K.N.Toosi University of Technology, Tehran, Iran
2 GIS group in Geological Survey of Iran, Tehran, Iran
3 Natural Geography Department of Tehran University, Tehran, Iran
4 School of Geology, College of Science, University of Tehran , Tehran, Iran
Abstract
Damavand volcano is one of the most important geological features in Iran. Although a variety of studies are available about this volcano, there are different problems associated with existing data from Damavand including: they are not stored in a consistent and organized way, they are not directly applicable in users' information systems (such as GIS), and they are not easily accessible and sometimes not accessible to users. In addition, clear and accurate studies about geomorphological-environmental specifications of Damavand are not still available. Considering these facts, this paper aims to describe design and implementation of Damavand geomorphological-environmental database and then disseminating it using WebGIS. In this research project, firstly, required spatial and attribute data were identified. Then, using available maps, satellite imageries, aerial imageries, and field works, required data were produced, completed and complemented. After that, the proposed database was designed and implemented and finally the mentioned data were stored in the database. By conducting these stages, the Damavand geomorphological-environmental database was established. At the next stage, an interactive WebGIS was designed and implemented in Geological Survey of Iran (GSI). At the last stage, the database was linked to the WebGIS and disseminated via that. At the time of writing this paper, the Damavand WebGIS and hence the geomorphological-environmental database is accessible via GSI intranet. The WebGIS can also be connected to internet in order to make the database accessible for public. Establishing such database for other geological-related datasets and its dissemination using WebGIS can significantly resolve current problems associated with these datasets from storage, accessibility and applicability perspectives.
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