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Article

Climate Change Scenarios Reduce Water Resources in the Schuylkill River Watershed during the Next Two Decades Based on Hydrologic Modeling in STELLA

1
Department of Civil, Architectural and Environmental Engineering, Drexel University, Philadelphia, PA 19104, USA
2
Urban Water Engineering, Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, 971 87 Luleå, Sweden
3
Department of Civil and Environmental Engineering, Villanova University, Villanova, PA 19085, USA
4
Department of Biodiversity Earth and Environmental Science, Drexel University, Philadelphia, PA 19104, USA
*
Author to whom correspondence should be addressed.
Water 2023, 15(20), 3666; https://doi.org/10.3390/w15203666
Submission received: 13 July 2023 / Revised: 6 October 2023 / Accepted: 10 October 2023 / Published: 20 October 2023
(This article belongs to the Section Water Resources Management, Policy and Governance)

Abstract

The Schuylkill River Watershed in southeastern PA provides essential ecosystem services, including drinking water, power generation, recreation, transportation, irrigation, and habitats for aquatic life. The impact of changing climate and land use on these resources could negatively affect the ability of the watershed to continually provide these services. This study applies a hydrologic model to assess the impact of climate and land use change on water resources in the Schuylkill River Basin. A hydrologic model was created within the Structural Thinking Experiential Learning Laboratory with Animation (STELLA) modeling environment. Downscaled future climate change scenarios were generated using Localized Constructed Analogs (LOCA) from 2020 to 2040 for Representative Concentration Pathways (RCP) 4.5 and RCP 8.5 emission scenarios. Three regional land use change scenarios were developed based on historical land use and land cover change trends. The calibrated model was then run under projected climate and land use scenarios to simulate daily streamflow, reservoir water levels, and investigate the availability of water resources in the basin. Historically, the streamflow objective for the Schuylkill was met 89.8% of the time. However, the model forecasts that this will drop to 67.2–76.9% of the time, depending on the climate models used. Streamflow forecasts varied little with changes in land use. The two greenhouse gas emission scenarios considered (high and medium emissions) also produced similar predictions for the frequency with which the streamflow target is met. Barring substantial changes in global greenhouse gas emissions, the region should prepare for substantially greater frequency of low flow conditions in the Schuylkill River.
Keywords: water management policies; STELLA modeling environment; land use change; climate change; streamflow forecasts; reservoir management water management policies; STELLA modeling environment; land use change; climate change; streamflow forecasts; reservoir management

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MDPI and ACS Style

Kali, S.E.; Amur, A.; Champlin, L.K.; Olson, M.S.; Gurian, P.L. Climate Change Scenarios Reduce Water Resources in the Schuylkill River Watershed during the Next Two Decades Based on Hydrologic Modeling in STELLA. Water 2023, 15, 3666. https://doi.org/10.3390/w15203666

AMA Style

Kali SE, Amur A, Champlin LK, Olson MS, Gurian PL. Climate Change Scenarios Reduce Water Resources in the Schuylkill River Watershed during the Next Two Decades Based on Hydrologic Modeling in STELLA. Water. 2023; 15(20):3666. https://doi.org/10.3390/w15203666

Chicago/Turabian Style

Kali, Suna Ekin, Achira Amur, Lena K. Champlin, Mira S. Olson, and Patrick L. Gurian. 2023. "Climate Change Scenarios Reduce Water Resources in the Schuylkill River Watershed during the Next Two Decades Based on Hydrologic Modeling in STELLA" Water 15, no. 20: 3666. https://doi.org/10.3390/w15203666

APA Style

Kali, S. E., Amur, A., Champlin, L. K., Olson, M. S., & Gurian, P. L. (2023). Climate Change Scenarios Reduce Water Resources in the Schuylkill River Watershed during the Next Two Decades Based on Hydrologic Modeling in STELLA. Water, 15(20), 3666. https://doi.org/10.3390/w15203666

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