Assessing Future Impacts of Climate Change on Streamflow within the Alabama River Basin

Global climate change is expected to impact future precipitation and surface temperature trends and could alter local hydrologic systems. This study assessed the likely hydrologic responses and changes in streamflow due to future climate change within the Alabama River Basin (ARB) for the mid-21<...

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Main Authors: Joseph E. Quansah, Amina B. Naliaka, Souleymane Fall, Ramble Ankumah, Gamal EL Afandi
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Climate
Subjects:
GCM
Online Access:https://www.mdpi.com/2225-1154/9/4/55
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spelling doaj-e3628fc021fd4bee930acd4aed6593842021-03-31T23:07:14ZengMDPI AGClimate2225-11542021-03-019555510.3390/cli9040055Assessing Future Impacts of Climate Change on Streamflow within the Alabama River BasinJoseph E. Quansah0Amina B. Naliaka1Souleymane Fall2Ramble Ankumah3Gamal EL Afandi4Department of Agricultural and Environmental Sciences, Tuskegee University, Tuskegee, AL 36088, USASchool of Earth Systems and Sustainability, Southern Illinois University, Carbondale, IL 62901, USADepartment of Agricultural and Environmental Sciences, Tuskegee University, Tuskegee, AL 36088, USADepartment of Agricultural and Environmental Sciences, Tuskegee University, Tuskegee, AL 36088, USADepartment of Agricultural and Environmental Sciences, Tuskegee University, Tuskegee, AL 36088, USAGlobal climate change is expected to impact future precipitation and surface temperature trends and could alter local hydrologic systems. This study assessed the likely hydrologic responses and changes in streamflow due to future climate change within the Alabama River Basin (ARB) for the mid-21<sup>st</sup> century 2045 (“2030–2060”) and end-21<sup>st</sup> century 2075 (“2060–2090”). Using an integrated modeling approach, General Circulation Model (GCM) datasets; the Centre National de Recherches Météorologiques Climate Model 5 (CNRM-CM5), the Community Earth System Model, version 1–Biogeochemistry (CESM1- BGC.1), and the Hadley Centre Global Environment Model version 2 (HADGEM2-AO.1), under medium Representative Concentration Pathway (RCP) 4.5, and based on World Climate Research Program (WCRP)’s Couple Model Intercomparison Phase 5 (CMIP5), were assimilated into calibrated Soil and Water Assessment Tool (SWAT). Mann–Kendall and Theil Sen’s slope were used to assess the trends and magnitude of variability of the historical climate data used for setting up the model. The model calibration showed goodness of fit with minimum Nash–Sutcliffe Efficiency (NSE) coefficient values of 0.83 and Coefficient of Determination (<i>R</i><sup>2</sup>) of 0.88 for the three gages within the ARB. Next, the research assessed changes in streamflow for the years 2045 and 2075 against that of the reference baseline year of 1980. The results indicate situations of likely increase and decrease in mean monthly streamflow discharge and increase in the frequency and variability in peak flows during the periods from the mid to end of the 21st century. Seasonally, monthly streamflow increases between 50% and 250% were found for spring and autumn months with decreases in summer months for 2045. Spring and summer months for 2075 resulted in increased monthly streamflow between 50% and 300%, while autumn and spring months experienced decreased streamflow. While the results are prone to inherent uncertainties in the downscaled GCM data used, the simulated dynamics in streamflow and water availability provide critical information for stakeholders to develop sustainable water management and climate change adaptation options for the ARB.https://www.mdpi.com/2225-1154/9/4/55climate changestreamflowSWAT modelGCMCNRM-CM5CESM1-BGC.1
collection DOAJ
language English
format Article
sources DOAJ
author Joseph E. Quansah
Amina B. Naliaka
Souleymane Fall
Ramble Ankumah
Gamal EL Afandi
spellingShingle Joseph E. Quansah
Amina B. Naliaka
Souleymane Fall
Ramble Ankumah
Gamal EL Afandi
Assessing Future Impacts of Climate Change on Streamflow within the Alabama River Basin
Climate
climate change
streamflow
SWAT model
GCM
CNRM-CM5
CESM1-BGC.1
author_facet Joseph E. Quansah
Amina B. Naliaka
Souleymane Fall
Ramble Ankumah
Gamal EL Afandi
author_sort Joseph E. Quansah
title Assessing Future Impacts of Climate Change on Streamflow within the Alabama River Basin
title_short Assessing Future Impacts of Climate Change on Streamflow within the Alabama River Basin
title_full Assessing Future Impacts of Climate Change on Streamflow within the Alabama River Basin
title_fullStr Assessing Future Impacts of Climate Change on Streamflow within the Alabama River Basin
title_full_unstemmed Assessing Future Impacts of Climate Change on Streamflow within the Alabama River Basin
title_sort assessing future impacts of climate change on streamflow within the alabama river basin
publisher MDPI AG
series Climate
issn 2225-1154
publishDate 2021-03-01
description Global climate change is expected to impact future precipitation and surface temperature trends and could alter local hydrologic systems. This study assessed the likely hydrologic responses and changes in streamflow due to future climate change within the Alabama River Basin (ARB) for the mid-21<sup>st</sup> century 2045 (“2030–2060”) and end-21<sup>st</sup> century 2075 (“2060–2090”). Using an integrated modeling approach, General Circulation Model (GCM) datasets; the Centre National de Recherches Météorologiques Climate Model 5 (CNRM-CM5), the Community Earth System Model, version 1–Biogeochemistry (CESM1- BGC.1), and the Hadley Centre Global Environment Model version 2 (HADGEM2-AO.1), under medium Representative Concentration Pathway (RCP) 4.5, and based on World Climate Research Program (WCRP)’s Couple Model Intercomparison Phase 5 (CMIP5), were assimilated into calibrated Soil and Water Assessment Tool (SWAT). Mann–Kendall and Theil Sen’s slope were used to assess the trends and magnitude of variability of the historical climate data used for setting up the model. The model calibration showed goodness of fit with minimum Nash–Sutcliffe Efficiency (NSE) coefficient values of 0.83 and Coefficient of Determination (<i>R</i><sup>2</sup>) of 0.88 for the three gages within the ARB. Next, the research assessed changes in streamflow for the years 2045 and 2075 against that of the reference baseline year of 1980. The results indicate situations of likely increase and decrease in mean monthly streamflow discharge and increase in the frequency and variability in peak flows during the periods from the mid to end of the 21st century. Seasonally, monthly streamflow increases between 50% and 250% were found for spring and autumn months with decreases in summer months for 2045. Spring and summer months for 2075 resulted in increased monthly streamflow between 50% and 300%, while autumn and spring months experienced decreased streamflow. While the results are prone to inherent uncertainties in the downscaled GCM data used, the simulated dynamics in streamflow and water availability provide critical information for stakeholders to develop sustainable water management and climate change adaptation options for the ARB.
topic climate change
streamflow
SWAT model
GCM
CNRM-CM5
CESM1-BGC.1
url https://www.mdpi.com/2225-1154/9/4/55
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