Assessing watershed hydrological response to climate change based on signature indices
Due to the fact that one of the important ways of describing the performance of basins is to use the hydrological signatures, the present study investigates the effects of climate change using the hydrological signatures in Azarshahr Chay basin, Iran. To this end, the Canadian Earth system model (Ca...
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IWA Publishing
2021
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oai:doaj.org-article:1da321806d144593b34f176ac387a5bd2021-11-05T19:07:46ZAssessing watershed hydrological response to climate change based on signature indices2040-22442408-935410.2166/wcc.2021.293https://doaj.org/article/1da321806d144593b34f176ac387a5bd2021-09-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/6/2579https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354Due to the fact that one of the important ways of describing the performance of basins is to use the hydrological signatures, the present study investigates the effects of climate change using the hydrological signatures in Azarshahr Chay basin, Iran. To this end, the Canadian Earth system model (CanESM2) is first used to predict future climate change (2030–2059) under two Representative Concentration Pathways (RCP2.6 and RCP8.5). Six signature indices were extracted from flow duration curve (FDC) as follows: runoff ratio (RR), high-segment volume (FHV), low-segment volume (FLV), mid-segment slope (FMS), mid-range flow (FMM), and maximum peak discharge (DiffMaxPeak). These signature indices act as sorts of fingerprints representing differences in the hydrological behavior of the basin. The results indicate that the most significant changes in the future hydrological response are related to the FHV and FLV and FMS indices. The BiasFHV index indicates an increase in high discharge rates under the RCP8.5 scenario, compared to the baseline period, and also the RCP2.6 scenario. The mean annual discharge rate, however, is lower than the discharge rate under this scenario. Generally, for the RCP8.5 scenario, the changes in the signature indices in both high discharges and low discharges are significant. HIGHLIGHTS Prediction of future runoff under two RCPs using SDSM and SWAT models.; Six signature indices were used to investigate the hydrological behavior of the basin.; Annual precipitation, temperature, streamflow and six signature indices of the RCPs were compared.; The most significant changes in the future of hydrological response are related to high flows.;Atiyeh FatehifarMohammad Reza GoodarziSeyedeh Sima Montazeri HedeshParnian Siahvashi DastjerdiIWA Publishingarticleflow duration curves (fdc)rcp scenariossignature biasesstreamflow changesswatEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 6, Pp 2579-2593 (2021) |
institution |
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DOAJ |
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flow duration curves (fdc) rcp scenarios signature biases streamflow changes swat Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 |
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flow duration curves (fdc) rcp scenarios signature biases streamflow changes swat Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Atiyeh Fatehifar Mohammad Reza Goodarzi Seyedeh Sima Montazeri Hedesh Parnian Siahvashi Dastjerdi Assessing watershed hydrological response to climate change based on signature indices |
description |
Due to the fact that one of the important ways of describing the performance of basins is to use the hydrological signatures, the present study investigates the effects of climate change using the hydrological signatures in Azarshahr Chay basin, Iran. To this end, the Canadian Earth system model (CanESM2) is first used to predict future climate change (2030–2059) under two Representative Concentration Pathways (RCP2.6 and RCP8.5). Six signature indices were extracted from flow duration curve (FDC) as follows: runoff ratio (RR), high-segment volume (FHV), low-segment volume (FLV), mid-segment slope (FMS), mid-range flow (FMM), and maximum peak discharge (DiffMaxPeak). These signature indices act as sorts of fingerprints representing differences in the hydrological behavior of the basin. The results indicate that the most significant changes in the future hydrological response are related to the FHV and FLV and FMS indices. The BiasFHV index indicates an increase in high discharge rates under the RCP8.5 scenario, compared to the baseline period, and also the RCP2.6 scenario. The mean annual discharge rate, however, is lower than the discharge rate under this scenario. Generally, for the RCP8.5 scenario, the changes in the signature indices in both high discharges and low discharges are significant. HIGHLIGHTS
Prediction of future runoff under two RCPs using SDSM and SWAT models.;
Six signature indices were used to investigate the hydrological behavior of the basin.;
Annual precipitation, temperature, streamflow and six signature indices of the RCPs were compared.;
The most significant changes in the future of hydrological response are related to high flows.; |
format |
article |
author |
Atiyeh Fatehifar Mohammad Reza Goodarzi Seyedeh Sima Montazeri Hedesh Parnian Siahvashi Dastjerdi |
author_facet |
Atiyeh Fatehifar Mohammad Reza Goodarzi Seyedeh Sima Montazeri Hedesh Parnian Siahvashi Dastjerdi |
author_sort |
Atiyeh Fatehifar |
title |
Assessing watershed hydrological response to climate change based on signature indices |
title_short |
Assessing watershed hydrological response to climate change based on signature indices |
title_full |
Assessing watershed hydrological response to climate change based on signature indices |
title_fullStr |
Assessing watershed hydrological response to climate change based on signature indices |
title_full_unstemmed |
Assessing watershed hydrological response to climate change based on signature indices |
title_sort |
assessing watershed hydrological response to climate change based on signature indices |
publisher |
IWA Publishing |
publishDate |
2021 |
url |
https://doaj.org/article/1da321806d144593b34f176ac387a5bd |
work_keys_str_mv |
AT atiyehfatehifar assessingwatershedhydrologicalresponsetoclimatechangebasedonsignatureindices AT mohammadrezagoodarzi assessingwatershedhydrologicalresponsetoclimatechangebasedonsignatureindices AT seyedehsimamontazerihedesh assessingwatershedhydrologicalresponsetoclimatechangebasedonsignatureindices AT parniansiahvashidastjerdi assessingwatershedhydrologicalresponsetoclimatechangebasedonsignatureindices |
_version_ |
1718444024229003264 |