Volume 18, Issue 51 (6-2018)                   jgs 2018, 18(51): 103-114 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ahmadabadi A, sedighifar Z. (2018). Prediction of Climate Change Induced Hydrogeomorphology by using SDSM in CAN Watershed. jgs. 18(51), 103-114. doi:10.29252/jgs.18.51.103
URL: http://jgs.khu.ac.ir/article-1-2697-en.html
1- Assistant prof. in geomorphology, Kharazmi University, Tehran, Iran . , ahmadabadi@khu.ac.ir
2- M.A Science in Geomorphology, Kharazmi University Tehran, Iran.
Abstract:   (7386 Views)
Climate change is one of the most important challenges that has affected various parts of human life on Earth. In the present study, in order to investigate the climate change, three synoptic stations of Karaj, Mehrabad and Dashan Tepeh with the help of the statistical statistic downscaling model (SDSM) model were used to predict the statistical period of 2016-2045. Finally, the effects of climate change on the hydrologic conditions of the basin with the help of the model (SWAT) was simulated by the Soil and Water Assessment Tool. The amount of surface runoff and runoff at the study area is 10.59 mm in the studied observation period, but this rate was estimated to be 21.27 mm for the predicted period due to the increase of urbanization and changes in utilization. The results of the research, while highlighting the importance of the effects of climate change, are necessary for their application in applying proper management to adapt to climate change in the future policies of the basin management.
Full-Text [PDF 1165 kb]   (3899 Downloads)    
Type of Study: Research |

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License
This work is licensed under a Creative Commons — Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)