Hydrological modeling of spatial and temporal variations in streamflow due to multiple climate change scenarios in northwestern Morocco

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Siham Acharki
  • Soufiane Taia
  • Youssef Arjdal
  • Jochen Hack

Organisationseinheiten

Externe Organisationen

  • Universite Abdelmalek Essaadi
  • Universite Ibn Tofail
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummer100388
FachzeitschriftClimate Services
Jahrgang30
PublikationsstatusVeröffentlicht - Apr. 2023

Abstract

Climate change is one of the most important factors impacting hydrological regimes. In this paper, climate change impact on streamflow of Loukkos basin (northwestern Morocco) is evaluated using SWAT model for three future periods: near (2021–2040), mid (2041–2070), and far (2071–2100), compared to baseline 1981–2020. A set of bias-corrected climate models was used: five regional climate models (EURO-CORDEX), four global climate models (CMIP6) and their ensemble mean, under two representative concentration pathways respectively (RCP 4.5; RCP 8.5) and (SSP2-4.5; SSP5-8.5). Furthermore, SUFI-2 algorithm in SWAT-CUP was performed to calibrate (1981–1997), validate (1998–2015), and analyze uncertainty for each dataset at ten hydrological stations. In most stations, statistical performance indicated a good simulation, with a Nash–Sutcliffe efficiency (NSE) greater than 0.77 and percent bias (PBIAS) within ±10% on a monthly basis. Overall, 82% of models indicated that future climate could decline streamflow. The largest decrease would be for 2071–2100 and under RCP 8.5/SSP5-8.5. Our findings could help planners and policymakers in developing reasonable water management policies and climate change adaptation measures.

ASJC Scopus Sachgebiete

Ziele für nachhaltige Entwicklung

Zitieren

Hydrological modeling of spatial and temporal variations in streamflow due to multiple climate change scenarios in northwestern Morocco. / Acharki, Siham; Taia, Soufiane; Arjdal, Youssef et al.
in: Climate Services, Jahrgang 30, 100388, 04.2023.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Acharki S, Taia S, Arjdal Y, Hack J. Hydrological modeling of spatial and temporal variations in streamflow due to multiple climate change scenarios in northwestern Morocco. Climate Services. 2023 Apr;30:100388. doi: 10.1016/j.cliser.2023.100388
Acharki, Siham ; Taia, Soufiane ; Arjdal, Youssef et al. / Hydrological modeling of spatial and temporal variations in streamflow due to multiple climate change scenarios in northwestern Morocco. in: Climate Services. 2023 ; Jahrgang 30.
Download
@article{5912f0e47e654ac596d6e6a4b4262a55,
title = "Hydrological modeling of spatial and temporal variations in streamflow due to multiple climate change scenarios in northwestern Morocco",
abstract = "Climate change is one of the most important factors impacting hydrological regimes. In this paper, climate change impact on streamflow of Loukkos basin (northwestern Morocco) is evaluated using SWAT model for three future periods: near (2021–2040), mid (2041–2070), and far (2071–2100), compared to baseline 1981–2020. A set of bias-corrected climate models was used: five regional climate models (EURO-CORDEX), four global climate models (CMIP6) and their ensemble mean, under two representative concentration pathways respectively (RCP 4.5; RCP 8.5) and (SSP2-4.5; SSP5-8.5). Furthermore, SUFI-2 algorithm in SWAT-CUP was performed to calibrate (1981–1997), validate (1998–2015), and analyze uncertainty for each dataset at ten hydrological stations. In most stations, statistical performance indicated a good simulation, with a Nash–Sutcliffe efficiency (NSE) greater than 0.77 and percent bias (PBIAS) within ±10% on a monthly basis. Overall, 82% of models indicated that future climate could decline streamflow. The largest decrease would be for 2071–2100 and under RCP 8.5/SSP5-8.5. Our findings could help planners and policymakers in developing reasonable water management policies and climate change adaptation measures.",
keywords = "Climate change, CMIP6, Sentinel-2, Streamflow, SWAT model",
author = "Siham Acharki and Soufiane Taia and Youssef Arjdal and Jochen Hack",
note = "Funding Information: The publication of this article was funded by the Open Access Publishing Fund of Leibniz University Hannover. The authors would like to express their deepest gratitude to Dr. Daniela Jacob (Editor-in-Chief) and the reviewers for their valuable comments on the manuscript. We thank also Abdeslam Acharki for accompanying us on field trips. Thank you to Loukkos Hydraulic Basin Agency and Loukkos Regional Agricultural Development Office for providing us with meteorological and hydrological data-sets. We also acknowledge the Earth System Grid Federation (ESGF) and its sponsors for storing and giving total access to Euro-CORDEX and CMIP6 outputs. Funding Information: The publication of this article was funded by the Open Access Publishing Fund of Leibniz University Hannover. The authors would like to express their deepest gratitude to Dr. Daniela Jacob (Editor-in-Chief) and the reviewers for their valuable comments on the manuscript. We thank also Abdeslam Acharki for accompanying us on field trips. Thank you to Loukkos Hydraulic Basin Agency and Loukkos Regional Agricultural Development Office for providing us with meteorological and hydrological data-sets. We also acknowledge the Earth System Grid Federation (ESGF) and its sponsors for storing and giving total access to Euro-CORDEX and CMIP6 outputs.",
year = "2023",
month = apr,
doi = "10.1016/j.cliser.2023.100388",
language = "English",
volume = "30",

}

Download

TY - JOUR

T1 - Hydrological modeling of spatial and temporal variations in streamflow due to multiple climate change scenarios in northwestern Morocco

AU - Acharki, Siham

AU - Taia, Soufiane

AU - Arjdal, Youssef

AU - Hack, Jochen

N1 - Funding Information: The publication of this article was funded by the Open Access Publishing Fund of Leibniz University Hannover. The authors would like to express their deepest gratitude to Dr. Daniela Jacob (Editor-in-Chief) and the reviewers for their valuable comments on the manuscript. We thank also Abdeslam Acharki for accompanying us on field trips. Thank you to Loukkos Hydraulic Basin Agency and Loukkos Regional Agricultural Development Office for providing us with meteorological and hydrological data-sets. We also acknowledge the Earth System Grid Federation (ESGF) and its sponsors for storing and giving total access to Euro-CORDEX and CMIP6 outputs. Funding Information: The publication of this article was funded by the Open Access Publishing Fund of Leibniz University Hannover. The authors would like to express their deepest gratitude to Dr. Daniela Jacob (Editor-in-Chief) and the reviewers for their valuable comments on the manuscript. We thank also Abdeslam Acharki for accompanying us on field trips. Thank you to Loukkos Hydraulic Basin Agency and Loukkos Regional Agricultural Development Office for providing us with meteorological and hydrological data-sets. We also acknowledge the Earth System Grid Federation (ESGF) and its sponsors for storing and giving total access to Euro-CORDEX and CMIP6 outputs.

PY - 2023/4

Y1 - 2023/4

N2 - Climate change is one of the most important factors impacting hydrological regimes. In this paper, climate change impact on streamflow of Loukkos basin (northwestern Morocco) is evaluated using SWAT model for three future periods: near (2021–2040), mid (2041–2070), and far (2071–2100), compared to baseline 1981–2020. A set of bias-corrected climate models was used: five regional climate models (EURO-CORDEX), four global climate models (CMIP6) and their ensemble mean, under two representative concentration pathways respectively (RCP 4.5; RCP 8.5) and (SSP2-4.5; SSP5-8.5). Furthermore, SUFI-2 algorithm in SWAT-CUP was performed to calibrate (1981–1997), validate (1998–2015), and analyze uncertainty for each dataset at ten hydrological stations. In most stations, statistical performance indicated a good simulation, with a Nash–Sutcliffe efficiency (NSE) greater than 0.77 and percent bias (PBIAS) within ±10% on a monthly basis. Overall, 82% of models indicated that future climate could decline streamflow. The largest decrease would be for 2071–2100 and under RCP 8.5/SSP5-8.5. Our findings could help planners and policymakers in developing reasonable water management policies and climate change adaptation measures.

AB - Climate change is one of the most important factors impacting hydrological regimes. In this paper, climate change impact on streamflow of Loukkos basin (northwestern Morocco) is evaluated using SWAT model for three future periods: near (2021–2040), mid (2041–2070), and far (2071–2100), compared to baseline 1981–2020. A set of bias-corrected climate models was used: five regional climate models (EURO-CORDEX), four global climate models (CMIP6) and their ensemble mean, under two representative concentration pathways respectively (RCP 4.5; RCP 8.5) and (SSP2-4.5; SSP5-8.5). Furthermore, SUFI-2 algorithm in SWAT-CUP was performed to calibrate (1981–1997), validate (1998–2015), and analyze uncertainty for each dataset at ten hydrological stations. In most stations, statistical performance indicated a good simulation, with a Nash–Sutcliffe efficiency (NSE) greater than 0.77 and percent bias (PBIAS) within ±10% on a monthly basis. Overall, 82% of models indicated that future climate could decline streamflow. The largest decrease would be for 2071–2100 and under RCP 8.5/SSP5-8.5. Our findings could help planners and policymakers in developing reasonable water management policies and climate change adaptation measures.

KW - Climate change

KW - CMIP6

KW - Sentinel-2

KW - Streamflow

KW - SWAT model

UR - http://www.scopus.com/inward/record.url?scp=85159604927&partnerID=8YFLogxK

U2 - 10.1016/j.cliser.2023.100388

DO - 10.1016/j.cliser.2023.100388

M3 - Article

AN - SCOPUS:85159604927

VL - 30

JO - Climate Services

JF - Climate Services

M1 - 100388

ER -