Assessment of the Impact of Climate Change on Runoff on the Kan Watershed in the Future

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

AHMADI MEHDI; MOTAMEDVAZIRI BAHARAK; AHMADI HASSAN; MOEINI ABOLFAZL; ZEHTABIAN GHOLAM REZA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Watershed Management Research Year:2020 | Volume:33 | Issue:2 (127) Page(s): 66-81

Download Full-Text

Persian Verion

View:

610

Download:

Cites:

Information Journal Paper

Title

Assessment of the Impact of Climate Change on Runoff on the Kan Watershed in the Future

Author(s)

Keywords

Artificial neural networkQ1

precipitation-runoff simulationQ2

RCP scenarioQ1

SDSM statistical modelQ1

SWAT hydrological modelQ1

Abstract

Climate change is among the most important challenges affecting the natural ecosystems and various aspects of the human life. The global warming imposes serious impacts on the hydrology and water cycle in the nature, and quantitative evaluation of such impacts provides further preparedness for confronting their anticipated consequences. The so-called statistical downscaling model (SDSM) was used to forecast the trends of precipitation and temperature during the 2006 – 2100 period based on the CanESM2 large ensembles. The impact of climate change on hydrologic conditions on the Kan Watershed was evaluated using the SWAT and ANN models. The results indicated that an in-crease in precipitation and temperature are probable in the forecasted future period (2006 – 2100). In general, it can be stipulated that the temperature will rise by 0. 8 – 5. 6℃ and the precipitation will increase by 4 – 55%. Given its structure, the ANN exhibited a superior performance over the SWAT. The results of the runoff studies indicated that for the forecasted future period (2006 – 2100), the ANN model predicts 2% and 4% decrease under the RCP2. 6 and RCP8. 5 scenarios, respectively, and a 25% increase under the RCP4. 5 scenario. However, the SWAT model forecasted 42%, 43%, and 49% increase under the RCP2. 6, RCP4. 5, and RCP8. 5 scenarios, respectively. A 49% increase in the runoff to 200 m3/s will not only add to the suspended sediment load of the Kan River, but also will bury the Emamzadeh Davood, Rendan, Kiga, Sangan, Suleghan, and Keshar villages under sediment, but also will cause extensive financial and life damages.

Cites

No record.

References

No record.

Cite

APA: Copy

AHMADI, MEHDI, MOTAMEDVAZIRI, BAHARAK, AHMADI, HASSAN, MOEINI, ABOLFAZL, & ZEHTABIAN, GHOLAM REZA. (2020). Assessment of the Impact of Climate Change on Runoff on the Kan Watershed in the Future. WATERSHED MANAGEMENT RESEARCHES (PAJOUHESH-VA-SAZANDEGI), 33(2 (127) ), 66-81. SID. https://sid.ir/paper/376942/en

Vancouver: Copy

AHMADI MEHDI, MOTAMEDVAZIRI BAHARAK, AHMADI HASSAN, MOEINI ABOLFAZL, ZEHTABIAN GHOLAM REZA. Assessment of the Impact of Climate Change on Runoff on the Kan Watershed in the Future. WATERSHED MANAGEMENT RESEARCHES (PAJOUHESH-VA-SAZANDEGI)[Internet]. 2020;33(2 (127) ):66-81. Available from: https://sid.ir/paper/376942/en

IEEE: Copy

MEHDI AHMADI, BAHARAK MOTAMEDVAZIRI, HASSAN AHMADI, ABOLFAZL MOEINI, and GHOLAM REZA ZEHTABIAN, “Assessment of the Impact of Climate Change on Runoff on the Kan Watershed in the Future,” WATERSHED MANAGEMENT RESEARCHES (PAJOUHESH-VA-SAZANDEGI), vol. 33, no. 2 (127) , pp. 66–81, 2020, [Online]. Available: https://sid.ir/paper/376942/en

Related Journal Papers