Shojaeian, A., Amouzegar, S., Jokar, S. (2022). Identification of areas with potential for river meandering using telemetry. , 14(2), 145-155. doi: 10.22092/ijwmse.2021.352670.1858
Ali Shojaeian; Sara Amouzegar; Sajjad Jokar. "Identification of areas with potential for river meandering using telemetry". , 14, 2, 2022, 145-155. doi: 10.22092/ijwmse.2021.352670.1858
Shojaeian, A., Amouzegar, S., Jokar, S. (2022). 'Identification of areas with potential for river meandering using telemetry', , 14(2), pp. 145-155. doi: 10.22092/ijwmse.2021.352670.1858
Shojaeian, A., Amouzegar, S., Jokar, S. Identification of areas with potential for river meandering using telemetry. , 2022; 14(2): 145-155. doi: 10.22092/ijwmse.2021.352670.1858

Identification of areas with potential for river meandering using telemetry

مهندسی و مدیریت آبخیز
Article 2, Volume 14, Issue 2, July 2022, Pages 145-155    PDF (1.07 M)
Document Type: Research Paper
DOI: 10.22092/ijwmse.2021.352670.1858
Authors
Ali Shojaeian* 1; Sara Amouzegar2; Sajjad Jokar2
1Faculty Member, Department of Geography and Urban Planning, Shahid Chamran University of Ahvaz,, Iran
2MSc, Faculty Member, Department of Geography and Urban Planning, Shahid Chamran University of Ahvaz,, Iran
Abstract
The morphological and geomorphological characteristics of rivers are constantly changing due to their continuous nature. In this research, the geomorphology of a part of Karun River in relation to the changes leading to meandering has been studied using satellite data and with a "descriptive-analytical" methodology. For this purpose, first the cell values of different bands of TM images (related to 1991) and ETM (related to 2002 and 2010) were weighted using fuzzy hierarchical analysis method to detect the bands showing the most changes compared to other bands. Then, from the weighted bands, the main components of the corresponding bands TM 1991 and ETM 2010 (as the beginning and end years of the studied period) were extracted and finally, by defining the fuzzy membership of the changes, the regions with the highest amount and intensity of changes in five The floor is provided. The results show that bands 7 and 5 show the most weight changes (river area) among the other bands for the images of 1991, 2002 and 2010, respectively. On the other hand, the fuzzy membership function of the changes showed that the maximum changes with intensity of zero to 20%, with values of 149 square kilometers including 48.3% and also the minimum changes with intensity of 80 to 100% with values of 8.2 square kilometers including 2.6% of the total study area. Therefore, from the study area of Karun, an area of eight square kilometers (about 3% of the total area evaluated) has experienced the intensity of changes above eighty percent and about 20% of the area with an intensity factor of fifty percent or more, prone to meandering or about to.
Keywords
Band; Discharge; Dynamic; Morphological; Satellite image
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