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Land suitability evaluation for changing spatial organization in Urmia County towards conservation of Urmia Lake
Institution:1. University of Isfahan, Isfahan, Iran;2. Temple University, Philadelphia, USA;1. Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Guangdong Institute of Eco-Environmental Science and Technology, Guangzhou, 510650, China;2. School of Geographical Sciences, Guangzhou University, Guangzhou, 510006, China;1. College of Resources and Environment, Xinjiang University, Ürümqi, China;2. State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Ürümqi 830011, China;1. School of Resource & Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China;2. Key Laboratory of Geographic Information System, Ministry of Education, 129 Luoyu Road, Wuhan 430079, China;1. State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Haidian District, Beijing 100875, China;2. School of Engineering, The King''s Buildings, The University of Edinburgh, Edinburgh EH9 3JL, UK;3. St Edmund Hall, Queen''s Lane, Oxford OX1 4AR, UK;1. Institute of Geography, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay District, Hanoi 10000, Viet Nam;2. Vietnam National Museum of Nature, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay District, Hanoi 10000, Viet Nam;3. Faculty of Natural Resources and Environment, Thai Nguyen University of Sciences, Tan Thinh ward, Thai Nguyen city, Viet Nam;1. Department of Remote sensing and GIS, University of Tabriz, Tabriz, Iran;2. Department of Geoinformatics Z_GIS, University of Salzburg, Salzburg, Austria;3. Applied Geoinformation Science, Department of Geography, Humboldt University Berlin, Berlin, Germany
Abstract:One of the most effective ways to reverse the decline of Iran's iconic Urmia Lake is to directly confront the development patterns that have contributed to the current crisis. This study's objective is to create a model for conservation of Urmia Lake that identifies suitable lands for agricultural and residential development in Urmia County that are distant from Urmia Lake. This was accomplished through a Geographic Information System-based multi-stage process. The first step involved production of maps based on an initial assessment of the region's geography, geomorphology, landforms, and hazards potential. In the next step, all of the parameters were overlaid and land suitability maps were generated by using determinant maps. In developing the final map, the lands were divided into four classes for future development potential: highly suitable, suitable, marginally suitable and not suitable. The results showed that well away from highly populated regions adjacent to Urmia Lake, there are highly suitable and suitable lands that presently contain 14 and 8 percent of total settlements, respectively. The highly suitable and suitable lands, which cover 5.6 and 6.7% of the total area, may serve as appropriate axes for changing the traditional spatial organization of the region, redirecting future development and consequently decreasing ecological pressure on lands close to Urmia Lake as well as preventing further excessive usage of water resources in the region.
Keywords:Urmia Lake  Land suitability  Spatial organization  Geographic information system
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