Predicting Climate Change Impacts on Water Balance Components of a Mountainous Watershed in the Northeastern USA

Forcing watershed models with downscaled climate data to quantify future water regime changes can improve confidence in watershed planning. The Soil Water Assessment Tool (SWAT) was calibrated (R<sup>2</sup> = 0.77, NSE = 0.76, and PBIAS = 7.1) and validated (R<sup>2</sup> =...

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Main Authors: Bidisha Faruque Abesh, Lilai Jin, Jason A. Hubbart
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/14/20/3349
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author Bidisha Faruque Abesh
Lilai Jin
Jason A. Hubbart
author_facet Bidisha Faruque Abesh
Lilai Jin
Jason A. Hubbart
author_sort Bidisha Faruque Abesh
collection DOAJ
description Forcing watershed models with downscaled climate data to quantify future water regime changes can improve confidence in watershed planning. The Soil Water Assessment Tool (SWAT) was calibrated (R<sup>2</sup> = 0.77, NSE = 0.76, and PBIAS = 7.1) and validated (R<sup>2</sup> = 0.8, NSE = 0.78, and PBIAS = 8.8) using observed monthly streamflow in a representative mountainous watershed in the northeastern United States. Four downscaled global climate models (GCMs) under two Representative Concentration Pathways (RCP 4.5, RCP 8.5) were forced. Future periods were separated into three 20-year intervals: 2030s (2031–2050), 2050s (2051–2070), and 2070s (2071–2099), and compared to baseline conditions (1980–1999). Ensemble means of the four GCMs showed an increasing trend for precipitation with the highest average increase of 6.78% in 2070s under RCP 8.5. Evapotranspiration (ET) had increasing trends over the 21st century with the 2030s showing greater increases under both RCPs. Both streamflow (4.58–10.43%) and water yield (1.2–7.58%) showed increasing trends in the 2050s and 2070s under both RCPs. Seasonal increases in precipitation were predicted for most months of spring and summer. ET was predicted to increase from Spring to early Fall. Study results demonstrate the potential sensitivity of mountainous watersheds to future climate changes and the need for ongoing predictive modeling studies to advance forward looking mitigation decisions.
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spelling doaj.art-97457c64692f45cdb0d11242cdc3e01a2023-11-24T03:14:02ZengMDPI AGWater2073-44412022-10-011420334910.3390/w14203349Predicting Climate Change Impacts on Water Balance Components of a Mountainous Watershed in the Northeastern USABidisha Faruque Abesh0Lilai Jin1Jason A. Hubbart2Division of Forestry and Natural Resources, Davis College of Agriculture, Natural Resources and Design, West Virginia University, Percival Hall, Morgantown, WV 26506, USADivision of Forestry and Natural Resources, Davis College of Agriculture, Natural Resources and Design, West Virginia University, Percival Hall, Morgantown, WV 26506, USADivision of Forestry and Natural Resources, Davis College of Agriculture, Natural Resources and Design, West Virginia University, Percival Hall, Morgantown, WV 26506, USAForcing watershed models with downscaled climate data to quantify future water regime changes can improve confidence in watershed planning. The Soil Water Assessment Tool (SWAT) was calibrated (R<sup>2</sup> = 0.77, NSE = 0.76, and PBIAS = 7.1) and validated (R<sup>2</sup> = 0.8, NSE = 0.78, and PBIAS = 8.8) using observed monthly streamflow in a representative mountainous watershed in the northeastern United States. Four downscaled global climate models (GCMs) under two Representative Concentration Pathways (RCP 4.5, RCP 8.5) were forced. Future periods were separated into three 20-year intervals: 2030s (2031–2050), 2050s (2051–2070), and 2070s (2071–2099), and compared to baseline conditions (1980–1999). Ensemble means of the four GCMs showed an increasing trend for precipitation with the highest average increase of 6.78% in 2070s under RCP 8.5. Evapotranspiration (ET) had increasing trends over the 21st century with the 2030s showing greater increases under both RCPs. Both streamflow (4.58–10.43%) and water yield (1.2–7.58%) showed increasing trends in the 2050s and 2070s under both RCPs. Seasonal increases in precipitation were predicted for most months of spring and summer. ET was predicted to increase from Spring to early Fall. Study results demonstrate the potential sensitivity of mountainous watersheds to future climate changes and the need for ongoing predictive modeling studies to advance forward looking mitigation decisions.https://www.mdpi.com/2073-4441/14/20/3349climate changeSWATCMIP5GCMAppalachiaDeckers Creek Watershed
spellingShingle Bidisha Faruque Abesh
Lilai Jin
Jason A. Hubbart
Predicting Climate Change Impacts on Water Balance Components of a Mountainous Watershed in the Northeastern USA
Water
climate change
SWAT
CMIP5
GCM
Appalachia
Deckers Creek Watershed
title Predicting Climate Change Impacts on Water Balance Components of a Mountainous Watershed in the Northeastern USA
title_full Predicting Climate Change Impacts on Water Balance Components of a Mountainous Watershed in the Northeastern USA
title_fullStr Predicting Climate Change Impacts on Water Balance Components of a Mountainous Watershed in the Northeastern USA
title_full_unstemmed Predicting Climate Change Impacts on Water Balance Components of a Mountainous Watershed in the Northeastern USA
title_short Predicting Climate Change Impacts on Water Balance Components of a Mountainous Watershed in the Northeastern USA
title_sort predicting climate change impacts on water balance components of a mountainous watershed in the northeastern usa
topic climate change
SWAT
CMIP5
GCM
Appalachia
Deckers Creek Watershed
url https://www.mdpi.com/2073-4441/14/20/3349
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AT lilaijin predictingclimatechangeimpactsonwaterbalancecomponentsofamountainouswatershedinthenortheasternusa
AT jasonahubbart predictingclimatechangeimpactsonwaterbalancecomponentsofamountainouswatershedinthenortheasternusa