Simulating the future state of erosion and sedimentation under the influence of climate change (case study: Hajiler River Basin)

Document Type : پژوهشی

Authors

1 -Ph. D, Student, Department of Faculty of Planning and Environmental Sciences, Tabriz University, Tabriz

2 Associate Professor, Department of Faculty of Planning and Environmental Sciences, Tabriz University, Tabriz

3 Professor, Department of Faculty of Planning and Environmental Sciences, Tabriz University, Tabriz

4 East Azerbaijan Agricultural and Natural Resources Research and Training Center/Tabriz/Iran

Abstract

Changes in erosion and sedimentation of the basin are one of the most important factors that affect different parts of human life and natural life. it is very necessary to receive these changes quantitatively, which mainly take place under temperature fluctuations and climate changes in different regions, in order to be more prepared to deal with its negative consequences. In this research, erosion and sedimentation changes in Hajiler watershed were investigated and predicted using GeoWEPP and SWAT models. Based on this, first, by using the data of the current situation of the Ahar synoptic station and using the SDSM model, the changes of the statistical period2020-2040 in three scenarios RCP2.6-RCP4.5-RCP8.5 were investigated, then simulation and prediction of erosion changes was carried out. and sedimentation was done under the influence of climate change by using popular models. The output of the SDSM model indicates an increase in temperature and a decrease in rainfall for the basin until 2040.And the analysis of the simulation results of the sedimentation rate of the models showed that in the studied basin, the GeoWEPP with the selection of the domain method has a suitable level in estimating the sedimentation rate compared to observational statistics. The final model was chosen to predict the amount of sediment in the mentioned period of the basin. Using the downscaled results of the atmospheric general circulation model, the sediment changes in the statistical period of 2020-2040 under the above mentioned three scenarios were estimated as -1.97, 4.45, and 2.98, respectively.

Keywords

Main Subjects

References

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Hydrogeomorphology
Volume 9, Issue 33 - Serial Number 33
January 2023
Pages 126-107

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History

  • Receive Date: 22 August 2022
  • Revise Date: 03 November 2022
  • Accept Date: 20 November 2022

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