سال انتشار: ۱۳۹۰

محل انتشار: اولین کنفرانس بین المللی و سومین کنفرانس ملی سد و نیروگاههای برق آبی

تعداد صفحات: ۱۰

نویسنده(ها):

Ali Bozorgi – Irrigation expert, Iran Water Resources Management Company
Mojtaba Ahmadizadeh –

چکیده:

It is announced and published that some projects of flooding water have been operated successfully in quaternary deposits; therefore it aroused the development of such similar projects. The first step in development and operation of new projects in aquifer management is the identification of favorable and prone areas. Multi-spectral satellite imagery, in addition to share spatial data and alluvial fan areas, they not only share spatial data and alluvial fan areas but also provide achieving to several of the descriptive information. This kind of information can be used for classifying in terms of alluvial fan priority for flooding. So with this attitude, alluvial fans were considered as the unit of studying for Flooding and aquifer management. In order to choose the kind of false color images, various combinations of multi-spectral satellite images were created according to minimum correlation between bands, but finally, the band combination 1, 4, 7, or in other words RGB 741 was found suitable for interpretation, according to the objectives of this project. this combination of False color has some benefits, for instance the vegetation and water colors in the image appears to the same original color of themselves and soil and rock specifications would be more apparent because of existing the 7 band in the color combinations. In the visual interpretation step of images, the interpreter is able to map easily the boundary of alluvial fans according to the pattern and shape of them. So in this way those quaternary sediments in which there are no agricultural activities in their areas and also have potentially water resources upstream of them are identified. In this research we have investigated 21parameters in order to identify the prone areas forflooding in the alluvial fans of Gonabad. Consequently we have identified 53343 ha of studied area favorable for flooding.