The Relationship of Salt Classification with Distance to Shoreline and Elevation, Case Study Lake Urmia, Iran

Increase in salt concentration may have adverse environmental and economic consequences. The Lake Umia is the largest hypersaline lake in the world that is rapidly drying. The drying leaves salt layers in a belt around the shore of the lake. These layers can be source of many damages to the human and the environment. The objective of this research is to investigate for thefirst in the world the relationship between salt concentration with distance to shoreline and elevation. For this, Landsat satellite image data for salt classification and SRTM imagery for elevation data and shoreline layer for distance to shoreline raster have been used for the analysis as the material. By overlying of the data and selection query the relationships of the parameters havebeen explored. The results indicate that the salt concentration decreases with increase in elevation and distance to shoreline. This can be concluded that the demonstrated relationships can help make appropriate decisions in planning

The Relationship of Salt Classification with Distance to Shoreline and Elevation, Case Study Lake Urmia, Iran Keywords:

Salt Concentration , Classification , Landsat , Orumieh Lake