Volume 10, Issue 20 (12-2019)                   J Watershed Manage Res 2019, 10(20): 225-237 | Back to browse issues page


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Esmali A, Golshan M, Khorrami K. (2019). Determination of Suitable Areas for underground Dam Construction Using Boolean and Fuzzy Logics in Central Areas of Ardebil Province. J Watershed Manage Res. 10(20), 225-237. doi:10.29252/jwmr.10.20.225
URL: http://jwmr.sanru.ac.ir/article-1-945-en.html
1- Mohaghegh Ardabili University
2- Sari agricultural science and natural resources University
3- Urmia University
Abstract:   (3080 Views)
     In the arid and semi-arid areas rainfall have considerable changes in terms of time and amount, and that make the water resource management an vital issue. In this research, both Boolean and Fuzzy logic were used for identifying the potentiality suitable areas for construction of underground dams. The study area is located in the central region of Ardabil province with 7461 km2 area and semi-arid climate. For this purpose, were used many criteria consist of topography, geology, land use, geomorphology, water quality and quantity, depth of alluvial, and channels ranking. In the Boolean logic method, after preparing the related criteria, suitable and unsuitable areas were determined in two classes 0 and 1 that were combined using AND operator. In the Fuzzy logic method, the criteria were prepared in many classes and scored from 0 to 1 regarding previous researches and area conditions, then the criteria were combined with Fuzzy gamma operator. There is a good accordance between used criteria and combined maps that obtained from two methods. Overall central area and part of southwest and northern area determined as suitable locations for construction of underground dams. Results of Fuzzy logic showed that in the study area, the streams with 3 rank and deep alluvial areas have a high potentiality for underground dams’ construction. Therefore, these areas should be considered as the suitable areas for underground dams.
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Type of Study: Research | Subject: Special
Received: 2018/06/15 | Accepted: 2019/01/16

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