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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Autores principales: Atiyeh Fatehifar, Mohammad Reza Goodarzi, Seyedeh Sima Montazeri Hedesh, Parnian Siahvashi Dastjerdi
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Publicado: IWA Publishing 2021
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spelling 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 DOAJ
collection DOAJ
language EN
topic flow duration curves (fdc)
rcp scenarios
signature biases
streamflow changes
swat
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
spellingShingle 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
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